From ead15e2e24ace13614156e2e482a00913a26fba3 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 17 Sep 2019 15:21:57 +0700
Subject: [PATCH 001/193] Fix sstable.baseline not summarising z

---
 R/sstable.R          | 3 ++-
 R/toolkits.R         | 2 +-
 man/simple_recode.Rd | 2 +-
 3 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 570096f..e18ece4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -204,9 +204,10 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE,
     ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
     y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
     z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
+  } else{
+    z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
   }
 
-
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
 
diff --git a/R/toolkits.R b/R/toolkits.R
index 40ecc7f..f916f8e 100644
--- a/R/toolkits.R
+++ b/R/toolkits.R
@@ -1,7 +1,7 @@
 #' Do a simple recode via pattern for data
 #'
 #' @description
-#' A function to re-encode data by using a map. Patterns are accepted. unmentioned data are left intact.
+#' A function to re-encode data by using a map. Patterns are accepted. Unmentioned data are left intact.
 #'
 #' Method for class data.frame supports a robust replacement for data by providing relevant map in the form of var = map.
 #'
diff --git a/man/simple_recode.Rd b/man/simple_recode.Rd
index 72c34cb..3495903 100644
--- a/man/simple_recode.Rd
+++ b/man/simple_recode.Rd
@@ -48,7 +48,7 @@ If input is a vector, return a vector of the same length.
 If input is a data frame, return a data frame with relevant variables recoded.
 }
 \description{
-A function to re-encode data by using a map. Patterns are accepted. unmentioned data are left intact.
+A function to re-encode data by using a map. Patterns are accepted. Unmentioned data are left intact.
 
 Method for class data.frame supports a robust replacement for data by providing relevant map in the form of var = map.
 }

From 829a13747dac011814b8b675db72eba6095b2151 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 19 Sep 2019 14:33:04 +0700
Subject: [PATCH 002/193] Add the ability for sstable.ae to categorise aes into
 group, designated by group.var and group_data. Requested by Ronald.

---
 R/sstable.R       | 175 +++++++++++++++++++++++++++++++++++++++++++---
 man/sstable.ae.Rd |  18 +++--
 2 files changed, 180 insertions(+), 13 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index e18ece4..3ee5af0 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -13,6 +13,20 @@ getvar <- function(formula) {
   }
 }
 
+# extract the sign from quo/formula for sstable - trinhdhk ----------------
+
+getsign <- function(fml){
+  fml <- unclass(fml)[[2]]
+  .getsign = function(x){
+    c(x[[1]],
+      unlist(lapply(x[-1],
+                    function(.x) if(is.call(.x)) .getsign(.x))))
+  }
+
+  out <- .getsign(fml)
+  out[length(out):1]
+}
+
 # extract information from formula for sstable ----------------------------
 
 sstable.formula <- function(formula) {
@@ -522,10 +536,17 @@ sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup =
 #'
 #' @param ae_data a data frame contains adverse event data.
 #' @param fullid_data a data frame contains treatment arm data of all participants (not just those had adverse event).
+#' @param group_data a reference data frame contains the group name of each ae.
 #' @param id.var a character specifies name of study id variable (exists in both adverse event data and treatment arm data).
 #' @param aetype.var a character specifies name of adverse event type variable (exists in adverse event data).
 #' @param grade.var a character specifies name of adverse event grade variable (exists in adverse event data).
+#' @param group.var a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).
 #' @param arm.var a character specifies name of treatment arm variable (exists in treatment arm data).
+#' @param sort.by
+#' An unquoted formula of sorting options.
+#'
+#' Available options are `ep`, `pt`, `p`, or a combination of them (eg ep+pt-p);
+#' A minus sign indicates a descending order.
 #' @param digits a number specifies number of significant digits for numeric statistics.
 #' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
 #' @param pdigits a number specifies number of significant digits for p value.
@@ -544,7 +565,8 @@ sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup =
 #' @import dplyr
 #' @import tidyr
 #' @export
-sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NULL, arm.var, digits = 0,
+sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
+                       group.var = NULL, arm.var, sort.by, digits = 0,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
                        footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
@@ -557,9 +579,24 @@ sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NUL
   if (!id.var %in% names(fullid_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
   if (!aetype.var %in% names(ae_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
   if (!is.null(grade.var)) {
-    if (!grade.var %in% names(ae_data)){stop(paste(tmp[[6]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+    if (!grade.var %in% names(ae_data)){stop(paste(tmp[[7]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+  }
+  if (!is.null(group.var)){
+    if (!is.null(group_data)){
+      if (!group.var %in% names(group_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[4]]), '!!!'))
+      if (!aetype.var %in% names(group_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[4]]), "!!!"))}
+    } else
+      if (!group.var %in% names(ae_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[2]]), '!!!'))
+  }
+  if (!arm.var %in% names(fullid_data)){stop(paste(tmp[[9]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
+  if (!missing(sort.by)){
+    sort.by <- enquo(sort.by)
+    sort.vars <- all.vars(sort.by)
+    sort.signs <- getsign(sort.by)
+    if (length(sort.signs) < length(sort.vars)) sort.signs <- prepend(sort.signs, quote(`+`))
+    if (length(setdiff(sort.vars, c('pt','ep','p'))))
+      stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
-  if (!arm.var %in% names(fullid_data)){stop(paste(tmp[[7]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
 
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
@@ -569,9 +606,10 @@ sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NUL
   ## add aetype of "Any selected AE" & format aetype
   ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
   ae <- rbind(ae_data, ae_any)
-  aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
+  # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
   #browser()
 
+  ## extract grades of ae
   if (!is.null(grade.var)) {
     grade <- sort(unique(na.omit(ae_data[, grade.var])))
     grade2 <- ifelse(grepl(pattern = "grade", ignore.case = TRUE, x = grade), grade, paste("Grade", grade))
@@ -582,11 +620,16 @@ sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NUL
                           return(tmpdat)
                         }))
     ae <- rbind(ae, ae_grade)
-    aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
+    # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
   }
   ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
   #browser()
 
+  aetype_lev.raw <- unique(as.character(ae_data[, aetype.var]))
+  aetype_lev <- c("Any selected adverse event",
+                  if (!is.null(grade.var)) paste("-", grade2),
+                  aetype_lev.raw)
+
   ## add randomized arm to AE
   ae_arm <- merge(idarm, ae, by = "id", all.y = TRUE) %>%
     mutate(arm = addNA(factor(as.character(arm), levels = arm_lev, exclude = NULL), ifany = TRUE),
@@ -611,12 +654,60 @@ sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NUL
 
   ## table
   #browser()
-  value <- matrix(ncol = nlevels(ae_arm$arm) * 2, nrow = nlevels(ae_arm$aetype))
-  value[, seq(from = 1, to = ncol(value), by = 2)] <- episode_n
-  value[, seq(from = 2, to = ncol(value), by = 2)] <- paste0(patient_n, "/", patient_N,
+  value <- matrix(ncol = nlevels(ae_arm$arm)*3, nrow = nlevels(ae_arm$aetype))
+  value[, seq(from = 1, to = nlevels(ae_arm$arm)*2, by = 2)] <- episode_n
+  value[, seq(from = 2, to = nlevels(ae_arm$arm)*2, by = 2)] <- paste0(patient_n, "/", patient_N,
                                                              " (", formatC(100 * patient_p, digits, format = "f"), "%)")
+  ## add raw values to 2 dummy columns for sorting purpose
+  value[, (nlevels(ae_arm$arm)*2 + 1):(nlevels(ae_arm$arm)*3)] <- patient_n
   ae_value <- cbind(levels(ae_arm$aetype), value)
 
+  ## categorizing ae into groups
+  ## author: trinhdhk
+  if (!is.null(group.var)) {
+    if (is.null(group_data)) {
+      group_data <- unique(ae_data[,c(aetype.var, group.var)])
+    }
+    group_data[[group.var]] <- replace_na(group_data[[group.var]], 'Uncategorised')
+    if (!is.factor(group_data[, group.var])) group_data[, group.var] <- as.factor(group_data[, group.var])
+    group_data <- group_data[, c(aetype.var, group.var)]
+    group_data[,aetype.var] <- as.character(group_data[,aetype.var])
+    names(group_data) <- c(aetype.var, '.tmp.group')
+  } else {
+    ## - create a fake grouping
+    group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
+    names(group_data) <- c(aetype.var, '.tmp.group')
+  }
+
+  # browser()
+
+  ### bind group back to summary table -trinhdhk
+  ae_value.headless <-
+    as.data.frame(ae_value, stringsAsFactors = FALSE) %>%
+    filter(V1 %in% aetype_lev.raw) %>%
+    rename({{aetype.var}} := 'V1') %>%
+    right_join(group_data, by = aetype.var) %>%
+    group_by(.tmp.group) %>%
+    group_modify(~ rbind(c(as.character(.y$.tmp.group), rep('', ncol(.x)-1)), .x))
+
+  grouptitle_index <- ae_value.headless %>% group_rows() %>% sapply(., function(x) head(x, 1))
+
+  ae_value.headless <-
+    ae_value.headless %>%
+    ungroup %>%
+    select(-.tmp.group)
+
+  ae_value.head <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% filter(!V1 %in% aetype_lev.raw)
+
+  #adjust the row number of group title by combining with the head
+  grouptitle_index <- grouptitle_index + nrow(ae_value.head)
+  ae_value <-
+    ae_value.head %>%
+    `names<-`(names(ae_value.headless)) %>%
+    rbind(ae_value.headless)
+
+  # browser()
+
   ## test
   if (test) {
     pval <- sapply(1:nrow(value), function(i) {
@@ -636,9 +727,71 @@ sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NUL
       return(out)
     })
     pval[is.na(pval)] <- "-"
-    ae_value <- cbind(ae_value, pval)
+
+    ## add grouping row
+    ae_value <-
+      left_join(
+        ae_value,
+        cbind(aetype=aetype_lev, pval) %>%
+          as.data.frame(stringsAsFactors = FALSE) %>%
+          rename({{aetype.var}} := aetype),
+        by = aetype.var
+      ) %>%
+      mutate(pval = replace_na(pval, ''))
   }
 
+  ae_value <- as.matrix(ae_value)
+  # browser()
+
+  ## sorting - trinhdhk
+  ## - the head will not be sorted.
+  split.parts <- c(1, if(is.null(group.var)) (nrow(ae_value.head)+1) else grouptitle_index)
+  col.name <- arrange(mutate(expand.grid(c('ep', 'n.pt'), 1:nlevels(ae_arm$arm)), out = paste(Var1, Var2, sep='.')), Var2)$out
+  dummy.col.name <- paste('pt', 1:nlevels(ae_arm$arm), sep='.')
+  colnames(ae_value) <- c('aetype', col.name, dummy.col.name, 'p')
+  ae_value <- mutate_at(as.data.frame(ae_value, stringsAsFactors = FALSE),
+                        vars(matches('(^pt.\\d)|(^ep.\\d)'), dummy.col.name), as.numeric)
+
+  ae_value.group <- lapply(seq_along(split.parts),
+                           function(i){
+                             return(ae_value[split.parts[i]:(c(split.parts, nrow(ae_value) + 1)[i+1]-1),])
+                           })
+  ## - remove the head
+  ae_value.head <- ae_value.group[[1]]
+  ae_value.group.headless <- ae_value.group[-1]
+
+  ## - convert the sign and var into arrange-friendly quosures.
+  arrange.params <- rlang::as_quosures(
+    lapply(seq_along(sort.vars),
+           function(i){
+             sort.var <- sort.vars[[i]]
+             sort.sign <- sort.signs[[i]]
+             if (identical(sort.sign, quote(`+`)))
+                 as.formula(paste0('~', sort.var, if (sort.var != 'p') c('.1', '.2')), env = parent.frame())
+             else
+               as.formula(paste0('~desc(', sort.var,if (sort.var != 'p') c('.1', '.2'), ')'), env = parent.frame())
+           })
+    )
+
+  ae_value.sorted <- do.call(rbind,
+                             lapply(ae_value.group.headless,
+                                    function(grouped_ae){
+                                      rbind(
+                                        grouped_ae[1, ],
+                                        do.call(arrange, rlang::flatten(list(
+                                          .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
+                                          unlist(arrange.params))))
+                                      )
+                                    }))
+
+  ## - bind the head again
+  ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '')
+
+  ## remove the dummy col -trinhdhk
+  ae_value <- ae_value[,-(nlevels(ae_arm$arm)*2 + 2):-(nlevels(ae_arm$arm)*3+1)]
+  ae_value <- as.matrix(ae_value) #convert back to matrix to avoid conflicts
+  colnames(ae_value) <- NULL
+
   ## output
   ### header
   gr.lev <- levels(ae_arm$arm)
@@ -706,9 +859,13 @@ sstable.ae <- function(ae_data, fullid_data, id.var, aetype.var, grade.var = NUL
     tab <- hline(tab, border = tabbd, part = "header")
     tab <- hline_top(tab, border = tabbd, part = "all")
     tab <- hline_bottom(tab, border = tabbd, part = "body")
+    ### group-name rows-trinhdhk
+    tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
 
   } else {
     tab <- list(table = rbind(header1, header2, ae_value),
+                                  # group.title = if(!is.null(group.var)) grouptitle_index else NULL,
+                                  # class = c('ae_tbl', 'sstable', 'matrix')),
                 footer = footer)
   }
   return(tab)
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 5d7d11b..2c45c4c 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -4,10 +4,11 @@
 \alias{sstable.ae}
 \title{Create an adverse event summary table}
 \usage{
-sstable.ae(ae_data, fullid_data, id.var, aetype.var, grade.var = NULL,
-  arm.var, digits = 0, test = TRUE, pdigits = 3, pcutoff = 0.001,
-  chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE,
-  B = 2000, workspace = 1e+06, hybrid = FALSE, footer = NULL,
+sstable.ae(ae_data, fullid_data, group_data = NULL, id.var, aetype.var,
+  grade.var = NULL, group.var = NULL, arm.var, sort.by, digits = 0,
+  test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE,
+  correct = FALSE, simulate.p.value = FALSE, B = 2000,
+  workspace = 1e+06, hybrid = FALSE, footer = NULL,
   flextable = TRUE, bg = "#F2EFEE")
 }
 \arguments{
@@ -15,14 +16,23 @@ sstable.ae(ae_data, fullid_data, id.var, aetype.var, grade.var = NULL,
 
 \item{fullid_data}{a data frame contains treatment arm data of all participants (not just those had adverse event).}
 
+\item{group_data}{a reference data frame contains the group name of each ae.}
+
 \item{id.var}{a character specifies name of study id variable (exists in both adverse event data and treatment arm data).}
 
 \item{aetype.var}{a character specifies name of adverse event type variable (exists in adverse event data).}
 
 \item{grade.var}{a character specifies name of adverse event grade variable (exists in adverse event data).}
 
+\item{group.var}{a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).}
+
 \item{arm.var}{a character specifies name of treatment arm variable (exists in treatment arm data).}
 
+\item{sort.by}{An unquoted formula of sorting options.
+
+Available options are `ep`, `pt`, `p`, or a combination of them (eg ep+pt-p);
+A minus sign indicates a descending order.}
+
 \item{digits}{a number specifies number of significant digits for numeric statistics.}
 
 \item{test}{a logical value specifies whether a statistical test will be performed to compare between treatment arms.}

From ea50a655e3f6ff2a8c6c5e27b7afa4cb41d4b59c Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 20 Sep 2019 13:58:50 +0700
Subject: [PATCH 003/193] Fix sstable.ae

---
 R/sstable.R | 59 +++++++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 48 insertions(+), 11 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 3ee5af0..cd78493 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -551,7 +551,10 @@ sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup =
 #' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
 #' @param pdigits a number specifies number of significant digits for p value.
 #' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param chisq.test a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+#' @param chisq.test
+#' a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+#'
+#' Be aware that even when chisq.test==TRUE, if expected values are < 1, the later test will take over.
 #' @param correct a parameter for chisq.test().
 #' @param simulate.p.value a parameter for chisq.test() and fisher.test().
 #' @param B a parameter for chisq.test() and fisher.test().
@@ -593,7 +596,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     sort.by <- enquo(sort.by)
     sort.vars <- all.vars(sort.by)
     sort.signs <- getsign(sort.by)
-    if (length(sort.signs) < length(sort.vars)) sort.signs <- prepend(sort.signs, quote(`+`))
+    if (length(sort.signs) < length(sort.vars)) sort.signs <- rlang::prepend(sort.signs, quote(`+`))
     if (length(setdiff(sort.vars, c('pt','ep','p'))))
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
@@ -710,25 +713,59 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   ## test
   if (test) {
+    ## <trinhdhk:
+    ## - requested by Ronald, add the ability to override the chisq.test with fisher.test when the expected var is <1.
+    ## - this should work even when chisq.test == T
+    ## >
+
+    do_fisher <- function(mat, workspace = workspace, hybrid = hybrid,
+                          simulate.p.value = simulate.p.value, B = B){
+      tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
+                                       simulate.p.value = simulate.p.value, B = B)$p.value,
+                           eps = pcutoff, digits = pdigits, scientific = FALSE),
+               error = function(e) NA)
+    }
+
+    do_chisq <- function(mat, correct = correct,
+                         simulate.p.value = simulate.p.value, B = B,
+                         workspace = workspace, hybrid = hybrid){
+      chi.out <- tryCatch(suppressWarnings(chisq.test(x = mat, correct = correct,
+                                     simulate.p.value = simulate.p.value, B = B)),
+                          error = function(e) NA)
+      if (length(chi.out) == 1) # that implicits the NA value, so no more NA check here
+        return(chi.out)
+
+      if (any(chi.out$expected<1))
+        return(do_fisher(mat=mat, workspace = workspace, hybrid = hybrid,
+                         simulate.p.value = simulate.p.value, B = B))
+      #else
+      return(format.pval(chi.out$p.value,eps = pcutoff, digits = pdigits, scientific = FALSE))
+    }
+
     pval <- sapply(1:nrow(value), function(i) {
       idx <- seq(from = i, to = length(patient_n), by = nrow(value))
       mat <- matrix(c(patient_n[idx], patient_N[idx] - patient_n[idx]), nrow = 2, byrow = TRUE)
       out <- if (chisq.test) {
-        tryCatch(format.pval(chisq.test(x = mat, correct = correct,
-                                        simulate.p.value = simulate.p.value, B = B)$p.value,
-                             eps = pcutoff, digits = pdigits, scientific = FALSE),
-                 error = function(c) NA)
+        # tryCatch(format.pval(chisq.test(x = mat, correct = correct,
+        #                                 simulate.p.value = simulate.p.value, B = B)$p.value,
+        #                      eps = pcutoff, digits = pdigits, scientific = FALSE),
+        #          error = function(c) NA)
+        do_chisq(mat, correct = correct,
+                 simulate.p.value = simulate.p.value, B = B,
+                 workspace = workspace, hybrid = hybrid)
       } else {
-        tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
-                                         simulate.p.value = simulate.p.value, B = B)$p.value,
-                             eps = pcutoff, digits = pdigits, scientific = FALSE),
-                 error = function(c) NA)
+        # tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
+        #                                  simulate.p.value = simulate.p.value, B = B)$p.value,
+        #                      eps = pcutoff, digits = pdigits, scientific = FALSE),
+        #          error = function(c) NA)
+        do_fisher(mat, workspace = workspace, hybrid = hybrid,
+                  simulate.p.value = simulate.p.value, B = B)
       }
       return(out)
     })
     pval[is.na(pval)] <- "-"
 
-    ## add grouping row
+    ## add grouping row - trinhdhk
     ae_value <-
       left_join(
         ae_value,

From 3287d55737bb977d1fd25f51454d31e7755c651e Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 20 Sep 2019 14:07:16 +0700
Subject: [PATCH 004/193] Add help details to sstable.ae$chisq.test. Now even
 when chisq.test==TRUE, if expected value(s) < 1, fisher.test will take over.
 [Requested by Ronald]

---
 DESCRIPTION       | 2 +-
 man/sstable.ae.Rd | 4 +++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index c7cf2ef..86e5623 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.2
+Version: 0.1.3
 Author: Lam Phung Khanh
 Maintainer: Lam Phung Khanh <phungkhanhlam@gmail.com>
 Description: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 2c45c4c..6c9727b 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -41,7 +41,9 @@ A minus sign indicates a descending order.}
 
 \item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
 
-\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.}
+\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+
+Be aware that even when chisq.test==TRUE, if expected values are < 1, the later test will take over.}
 
 \item{correct}{a parameter for chisq.test().}
 

From a3d69fa24ce7a89f37bed9bb17674ab17e978273 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 27 Sep 2019 13:12:21 +0700
Subject: [PATCH 005/193] New functions for formatting sstable (when flextable
 == FALSE)

---
 NAMESPACE                |   9 +
 R/ssformat.R             | 379 +++++++++++++++++++++++++++++++++++++++
 R/sstable.R              |  28 ++-
 man/ht_theme_markdown.Rd |  27 +++
 man/ss_body.Rd           |  19 ++
 man/ss_flextable.Rd      |  23 +++
 man/ss_format.Rd         |  30 ++++
 man/ss_header.Rd         |  19 ++
 man/ss_huxtable.Rd       |  28 +++
 man/ss_section.Rd        |  19 ++
 man/ss_template.Rd       |  21 +++
 11 files changed, 597 insertions(+), 5 deletions(-)
 create mode 100644 R/ssformat.R
 create mode 100644 man/ht_theme_markdown.Rd
 create mode 100644 man/ss_body.Rd
 create mode 100644 man/ss_flextable.Rd
 create mode 100644 man/ss_format.Rd
 create mode 100644 man/ss_header.Rd
 create mode 100644 man/ss_huxtable.Rd
 create mode 100644 man/ss_section.Rd
 create mode 100644 man/ss_template.Rd

diff --git a/NAMESPACE b/NAMESPACE
index b9b4a6e..2de34ff 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,16 +1,25 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method(print,ss_tbl)
 S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
 export(contSummary)
 export(convert.info)
 export(createProject)
 export(getlabel)
+export(ht_theme_markdown)
 export(import.info)
 export(inspect.data)
 export(labAE)
 export(myformat.data)
 export(simple_recode)
+export(ss_body)
+export(ss_flextable)
+export(ss_format)
+export(ss_header)
+export(ss_huxtable)
+export(ss_section)
+export(ss_template)
 export(sstable.ae)
 export(sstable.baseline)
 export(sstable.survcomp)
diff --git a/R/ssformat.R b/R/ssformat.R
new file mode 100644
index 0000000..858bcd5
--- /dev/null
+++ b/R/ssformat.R
@@ -0,0 +1,379 @@
+## Quick sstable drawing helpers
+## Author: trinhdhk
+## Day first written: Sep 20 2019
+## Ver 0.1.0.092019
+
+#' Set template for sstable
+#'
+#' @description This function set the template for sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param template
+#' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+#'
+#' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
+#' @return a matrix of class ss_tbl
+#' @export
+ss_template <- function(sstable, template =  c('baseline', 'survcomp', 'ae')){
+  ss.class <- class(sstable)
+  if (missing(template)) template <- NA
+  if (!is.na(template)) template <- match.arg(template)
+  if (is.na(template)){
+    template <- c('baseline', 'survcomp', 'ae')
+    template.match <- match(template, ss.class)
+    template.match <- template.match[!is.na(template.match)]
+    if (length(template.match) > 1) template.match <- template.match[[1]]
+    template <- template[template.match]
+  }
+
+  template <- paste0(template, '_tbl')
+  class(sstable) <- unique(c(template, 'ss_tbl', 'matrix', class(sstable)))
+  return(sstable)
+}
+
+#' Designation of header rows for custom sstable
+#'
+#' @description This function set the designated rows as header rows of a sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param rows a numeric vector
+#' @return a matrix of class ss_tbl
+#' @export
+ss_header <- function(sstable, rows) {
+  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  rownames(sstable)[rows] <- paste("header", seq_along(rows), sep=".")
+  ss_table <- ss_template(sstable, template = NA)
+  sstable
+}
+
+#' Designation of body part for custom sstable
+#'
+#' @description This function set the designated rows as body part of a sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param rows a numeric vector
+#' @return a matrix of class ss_tbl
+#' @export
+ss_body <- function(sstable, rows){
+  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  rownames(sstable)[rows] <- paste("body", seq_along(rows), sep=".")
+  ss_table <- ss_template(sstable, template = NA)
+  sstable
+}
+
+#' Designation of section title rows for custom sstable
+#'
+#' @description This function set the designated rows as section title rows of an sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param rows a numeric vector
+#' @return a matrix of class ss_tbl
+#' @export
+ss_section <- function(sstable, rows){
+  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  rownames(sstable)[rows] <- paste("section", seq_along(rows), sep=".")
+  ss_table <- ss_template(sstable, template = NA)
+  sstable
+}
+
+#' Quick format a sstable in preparation for create flextable/huxtable
+#'
+#' @description This function is the combination of ss_header, ss_body, and ss_section.
+#' @param sstable a data frame following sstable's grammar
+#' @param header a numeric vector that will be passed to ss_header
+#' @param section a numeric vector that will be passed to ss_section
+#' @param body a numeric vector that will be passed to ss_body
+#' @param template
+#' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+#'
+#' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
+#' @param .guess a logical value. If TRUE, the function will try to get each row belongs to which part.
+#' @return a matrix of class ss_tbl
+#' @export
+ss_format <- function(sstable, header = c(), section = c(), body = c(), template =  c('baseline', 'survcomp', 'ae'), .guess= TRUE){
+  if (missing(template)) template <- NA
+  if (!is.na(template)) template <- match.arg(template)
+  sstable <- ss_template(sstable, template = template)
+  if (.guess) {
+    no.guess <- na.omit(as.numeric(c(header, section, body)))
+    # filter out from guess what have been defined
+    guess <- ss_guess_format(sstable)
+    h <- which(guess == 'header')
+    s <- which(guess == 'section')
+    b <- which(guess == 'body')
+    # filling the undecided row with auto guess
+    header <- unique(c(h[!h %in% no.guess], header))
+    section <- unique(c(s[!s %in% no.guess], section))
+    body <- unique(c(b[!b %in% no.guess], body))
+  }
+  if (length(header)) sstable <- ss_header(sstable, rows = header)
+  if (length(body)) sstable <- ss_body(sstable, rows = body)
+  if (length(section)) sstable <- ss_section(sstable, rows = section)
+  sstable
+}
+
+# An incomplete algorithm to guess the format of each sstable row.
+ss_guess_format <- function(sstable){
+  UseMethod('ss_guess_format')
+}
+
+ss_guess_format.default <- function(sstable){
+  guess <- sapply(1:nrow(sstable),
+                  function(i){
+                    r <- sstable[i,]
+                    if (isTRUE(grepl("header", rownames(sstable)[i]))) return("header")
+                    if (all(is.na(suppressWarnings(as.numeric(r)))) && i <= 2) return("header")
+                    if (sum(r == '') == ncol(sstable)-1) return("section")
+                    return("body")
+                  })
+  return(guess)
+}
+
+ss_guess_format.ae_tbl <- function(sstable){
+  guess <- sapply(1:nrow(sstable),
+                  function(i){
+                    if (i <= 2) return('header')
+                    r <- sstable[i, ]
+                    if (sum(r == '') >= 2) return('section')
+                    return('body')
+                  })
+  return(guess)
+}
+
+ss_guess_format.baseline_tbl <- function(sstable){
+  guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
+}
+
+ss_guess_format.survcomp_tbl <- function(sstable){
+  guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
+}
+
+#' Create summary table using flextable package.
+#'
+#' @description This function generate a flextable from a sstable.
+#' @param sstable a data frame following sstable's grammar
+#' @param footer a character vector each of which is the footnote of the flextable
+#' @param bg a character string that defines stripped background color of the flextable
+#' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
+#' @return an object of class flextable
+#' @export
+ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
+  requireNamespace("flextable")
+  requireNamespace("officer")
+  sstable <- ss_format(sstable, ..., .guess = TRUE)
+  header <- which(grepl("header", rownames(sstable)))
+  body <- which(grepl("body", rownames(sstable)))
+  section <-  which(grepl("section", rownames(sstable)))
+
+  colnames(sstable) <- NULL
+  sstable <- as.data.frame(sstable, stringsAsFactors = FALSE)
+  col.even <- ncol(sstable) %% 2 == 0
+
+  ## headers
+  ss.header <- sstable[header,]
+  names(ss.header) <- colnames(sstable)
+  # browser()
+
+  ss.header2 <-
+      lapply(seq_along(header),
+             function(i){
+               h <- ss.header[i, ]
+               if (col.even) col <- 2:(ncol(sstable)-1)
+               else col <- 2:ncol(sstable)
+               right_fill <- h[[max(col)]] != "" & h[[1]] == ""
+
+               h <- sapply(seq_along(h),
+                      function(j){
+                        if (h[[j]] == "") {
+                          if (j == ncol(sstable) && i>1) return(ss.header[i-1,j])
+                          if (j == 1){
+                            if (i > 1) return(ss.header[i-1,j]) #lag 1 row
+                            return(h[[j]]) #return ""
+                          }
+                          if (right_fill) return(h[[j+1]])
+                          return(h[[j-1]])
+                        }
+                        return(h[[j]])
+                      })
+               names(h) <- paste0('V',1:ncol(sstable))
+               return(h)
+             }
+    )
+  # browser()
+
+  ## Create the flextable
+  ft <- flextable::flextable(sstable[-header,, drop = FALSE])
+  # browser()
+
+  ## header format
+  ft <- flextable::set_header_labels(ft, values = ss.header2[[1]])
+  ft <- flextable::add_header_row(ft, values = ss.header2[[2]], top = F)
+  ft <- flextable::merge_h(ft, part = "header")
+  ft <- flextable::merge_v(ft, part = "header")
+
+  ## footer format
+  for (k in (seq_along(footer))) {
+    ft <- flextable::add_footer(ft, V1 = footer[k], top = FALSE)
+    ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = "footer")
+  }
+
+  ## section format
+  for (k in section){
+    ft <- flextable::bold(ft, i = k-length(header), j = 1:ncol(sstable), part = 'body')
+    ### merging cells that from the left if the whole row is empty
+    if (all(sstable[k, -1] == ''))
+      ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = 'body')
+  }
+
+  ## format flextable
+  ## width
+  ft <- flextable::autofit(ft)
+  ### alignment
+  ft <- flextable::align(ft, j = 1, align = "left", part = "all")
+  ### faces of header
+  ft <- flextable::bold(ft, part = "header")
+  ### background
+  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(sstable[-header,]), by = 2), j = 1:length(ss.header2[[1]]),
+                      bg = bg, part = "body")
+  ### border
+  tabbd <- officer::fp_border(color="black", width = 1.5)
+  ft <- flextable::border_remove(ft)
+  ft <- flextable::hline(ft, border = tabbd, part = "header")
+  ft <- flextable::hline_top(ft, border = tabbd, part = "all")
+  ft <- flextable::hline_bottom(ft, border = tabbd, part = "body")
+  return(ft)
+}
+
+#' Create summary table using huxtable package.
+#'
+#' @description This function generate a huxtable from a sstable.
+#' @param sstable a data frame following sstable's grammar
+#' @param footer a character vector each of which is the footnote of the flextable
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.
+#' @param border_width a number that defines huxtable border width
+#' @param border_color a character string that defines huxtable border color
+#' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
+#' @return an object of class huxtable
+#' @export
+ss_huxtable <- function(sstable, footer = NULL, bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75),...){
+  requireNamespace('huxtable')
+  sstable <- ss_format(sstable, ..., .guess = TRUE)
+  header <- which(grepl("header", rownames(sstable)))
+  body <- which(grepl("body", rownames(sstable)))
+  section <-  which(grepl("section", rownames(sstable)))
+
+  colnames(sstable) <- NULL
+  sstable <- as.data.frame(sstable, stringsAsFactors = FALSE)
+  col.even <- ncol(sstable) %% 2 == 0
+
+  ## headers pre-processing
+  ss.header <- sstable[header,]
+  names(ss.header) <- colnames(sstable)
+  # browser()
+
+  ss.header2 <-
+    lapply(seq_along(header),
+           function(i){
+             h <- ss.header[i, ]
+             if (col.even) col <- 2:(ncol(sstable)-1)
+             else col <- 2:ncol(sstable)
+             right_fill <- h[[max(col)]] != "" & h[[2]] == ""
+
+             h <- sapply(seq_along(h),
+                         function(j){
+                           if (h[[j]] == "") {
+                             if (j == ncol(sstable) && i>1) return(ss.header[i-1,j])
+                             if (j == 1){
+                               if (i > 1) return(ss.header[i-1,j]) #lag 1 row
+                               return(h[[j]]) #return ""
+                             }
+                             if (right_fill) return(h[[j+1]])
+                             return(h[[j-1]])
+                           }
+                           return(h[[j]])
+                         })
+             return(h)
+           }
+    )
+
+  sstable.headless <- sstable[-header,]
+  colnames(sstable.headless) <- ss.header2[[length(ss.header2)]]
+
+  ## create table
+  ht <- huxtable::as_hux(sstable.headless, add_colnames = TRUE, add_rownames = FALSE)
+
+  ## insert header
+  if (nrow(ss.header)>1){
+    for (i in seq_along(ss.header2)[-length(ss.header2)]){
+      ht <- huxtable::insert_row(ht, ss.header2[[i]])
+    }
+  }
+
+  ## format header
+  for (i in seq_along(ss.header2)){
+    for (j in seq_along(ss.header2[[i]])){
+      if (j>1){
+        if (ss.header2[[i]][[j-1]] == ss.header2[[i]][[j]]){
+          ht <- huxtable::merge_cells(ht, i, (j-1):j)
+        }
+      }
+      if (i>1){
+        if (ss.header2[[i-1]][[j]] == ss.header2[[i]][[j]]){
+          ht <- huxtable::merge_cells(ht, (i-1):i, j)
+        }
+      }
+      ht <- huxtable::set_align(ht, i, j, value = 'center')
+    }
+  }
+
+  ## format sections
+  for (i in section){
+    ht <- huxtable::set_bold(ht, i, huxtable::everywhere, value = TRUE)
+    ### merging cells that from the left if the whole row is empty
+    if (all(sstable[k, -1] == ''))
+      ht <- huxtable::merge_cells(ht, i, everywhere)
+  }
+
+  ## footer
+  for (i in seq_along(footer)){
+    ht <- huxtable::add_footnote(ht, footer[i], if (i>1) border = 0)
+  }
+
+  ## format huxtable
+  ht <- huxtable::set_width(ht, 1)
+
+  ht <- ht_theme_markdown(ht, header_rows = header, header_cols = 1,
+                          border_width = border_width,
+                          border_color = border_color,
+                          bg = bg)
+
+  return(ht)
+}
+
+
+#' A stripping theme for huxtable object
+#'
+#' @description This function provides a stripped theme for huxtable object
+#' @param ht an object of class huxtable
+#' @param header_rows a numeric vector that delimits the header zone.
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.
+#' @param border_width a number that defines huxtable border width
+#' @param border_color a character string that defines huxtable border color
+#' @return an object of class huxtable
+#' @export
+ht_theme_markdown <- function(ht, header_rows = 1, header_cols=1,
+                              border_width=0.8, border_color = grey(0.75), bg = c(grey(.95),'white')){
+  huxtable::top_border(ht)[1, ] <- border_width
+  huxtable::bottom_border(ht)[nrow(ht),] <- border_width
+
+  for (header_row in header_rows){
+    huxtable::bold(ht)[header_row, ] <- TRUE
+  }
+
+  huxtable::bottom_border(ht)[max(header_rows), ] <- border_width
+
+  for (header_col in header_cols){
+    huxtable::bold(ht)[header_col, ] <- TRUE
+  }
+  ht <- huxtable::set_all_border_colors(ht, border_color)
+  if (length(bg > 1)) ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, as.list(bg)))
+  else huxtable::background_color(ht) <- bg
+  ht
+}
+
diff --git a/R/sstable.R b/R/sstable.R
index cd78493..ca69b60 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -349,6 +349,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE,
   } else {
     tab <- list(table = rbind(header1, header2, value),
                 footer = footer)
+    class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
   }
   ## output
   return(tab)
@@ -593,10 +594,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   }
   if (!arm.var %in% names(fullid_data)){stop(paste(tmp[[9]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
   if (!missing(sort.by)){
-    sort.by <- enquo(sort.by)
+    sort.by <- rlang::enquo(sort.by)
     sort.vars <- all.vars(sort.by)
     sort.signs <- getsign(sort.by)
-    if (length(sort.signs) < length(sort.vars)) sort.signs <- rlang::prepend(sort.signs, quote(`+`))
+    if (length(sort.signs) < length(sort.vars)) sort.signs <- purrr::prepend(sort.signs, quote(`+`))
     if (length(setdiff(sort.vars, c('pt','ep','p'))))
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
@@ -691,7 +692,17 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     rename({{aetype.var}} := 'V1') %>%
     right_join(group_data, by = aetype.var) %>%
     group_by(.tmp.group) %>%
-    group_modify(~ rbind(c(as.character(.y$.tmp.group), rep('', ncol(.x)-1)), .x))
+    group_modify(~ rbind(c(as.character(.y$.tmp.group),
+                           unlist(lapply(seq_along(arm_lev),
+                                         function(i){
+                                           return(c(
+                                             sum(as.numeric(unlist(.x[, 2*i]))),
+                                             ''))
+                                             # paste(sum(as.numeric(unlist(.x[, length(arm_lev)*2+i+1])))))
+                                         })),
+                           rep('',ncol(ae_value)-1-2*length(arm_lev))
+                           ),.x))
+  # browser()
 
   grouptitle_index <- ae_value.headless %>% group_rows() %>% sapply(., function(x) head(x, 1))
 
@@ -901,9 +912,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   } else {
     tab <- list(table = rbind(header1, header2, ae_value),
-                                  # group.title = if(!is.null(group.var)) grouptitle_index else NULL,
-                                  # class = c('ae_tbl', 'sstable', 'matrix')),
                 footer = footer)
+    class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
   }
   return(tab)
 }
@@ -1070,6 +1080,7 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
   } else {
     tab <- list(table = output,
                 footer = footer)
+    class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
   }
   return(tab)
 }
@@ -1183,6 +1194,13 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits =
   } else {
     tab <- list(table = result,
                 footer = footer)
+    class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
   }
   return(tab)
 }
+
+#' @export
+print.ss_tbl <- function(sstable){
+  class(sstable) <- 'matrix'
+  print(sstable)
+}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
new file mode 100644
index 0000000..3d3452d
--- /dev/null
+++ b/man/ht_theme_markdown.Rd
@@ -0,0 +1,27 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ht_theme_markdown}
+\alias{ht_theme_markdown}
+\title{A stripping theme for huxtable object}
+\usage{
+ht_theme_markdown(ht, header_rows = 1, header_cols = 1,
+  border_width = 0.8, border_color = grey(0.75), bg = c(grey(0.95),
+  "white"))
+}
+\arguments{
+\item{ht}{an object of class huxtable}
+
+\item{header_rows}{a numeric vector that delimits the header zone.}
+
+\item{border_width}{a number that defines huxtable border width}
+
+\item{border_color}{a character string that defines huxtable border color}
+
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.}
+}
+\value{
+an object of class huxtable
+}
+\description{
+This function provides a stripped theme for huxtable object
+}
diff --git a/man/ss_body.Rd b/man/ss_body.Rd
new file mode 100644
index 0000000..532efa7
--- /dev/null
+++ b/man/ss_body.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_body}
+\alias{ss_body}
+\title{Designation of body part for custom sstable}
+\usage{
+ss_body(sstable, rows)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{rows}{a numeric vector}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the designated rows as body part of a sstable
+}
diff --git a/man/ss_flextable.Rd b/man/ss_flextable.Rd
new file mode 100644
index 0000000..2f7e8e1
--- /dev/null
+++ b/man/ss_flextable.Rd
@@ -0,0 +1,23 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_flextable}
+\alias{ss_flextable}
+\title{Create summary table using flextable package.}
+\usage{
+ss_flextable(sstable, footer = NULL, bg = "#F2EFEE", ...)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{footer}{a character vector each of which is the footnote of the flextable}
+
+\item{bg}{a character string that defines stripped background color of the flextable}
+
+\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
+}
+\value{
+an object of class flextable
+}
+\description{
+This function generate a flextable from a sstable.
+}
diff --git a/man/ss_format.Rd b/man/ss_format.Rd
new file mode 100644
index 0000000..309923b
--- /dev/null
+++ b/man/ss_format.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_format}
+\alias{ss_format}
+\title{Quick format a sstable in preparation for create flextable/huxtable}
+\usage{
+ss_format(sstable, header = c(), section = c(), body = c(),
+  template = c("baseline", "survcomp", "ae"), .guess = TRUE)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{header}{a numeric vector that will be passed to ss_header}
+
+\item{section}{a numeric vector that will be passed to ss_section}
+
+\item{body}{a numeric vector that will be passed to ss_body}
+
+\item{template}{An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+
+If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
+
+\item{.guess}{a logical value. If TRUE, the function will try to get each row belongs to which part.}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function is the combination of ss_header, ss_body, and ss_section.
+}
diff --git a/man/ss_header.Rd b/man/ss_header.Rd
new file mode 100644
index 0000000..8d1880b
--- /dev/null
+++ b/man/ss_header.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_header}
+\alias{ss_header}
+\title{Designation of header rows for custom sstable}
+\usage{
+ss_header(sstable, rows)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{rows}{a numeric vector}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the designated rows as header rows of a sstable
+}
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
new file mode 100644
index 0000000..3bfe50b
--- /dev/null
+++ b/man/ss_huxtable.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_huxtable}
+\alias{ss_huxtable}
+\title{Create summary table using huxtable package.}
+\usage{
+ss_huxtable(sstable, footer = NULL, bg = c(grey(0.95), "white"),
+  border_width = 0.8, border_color = grey(0.75), ...)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{footer}{a character vector each of which is the footnote of the flextable}
+
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.}
+
+\item{border_width}{a number that defines huxtable border width}
+
+\item{border_color}{a character string that defines huxtable border color}
+
+\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
+}
+\value{
+an object of class huxtable
+}
+\description{
+This function generate a huxtable from a sstable.
+}
diff --git a/man/ss_section.Rd b/man/ss_section.Rd
new file mode 100644
index 0000000..3ac6654
--- /dev/null
+++ b/man/ss_section.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_section}
+\alias{ss_section}
+\title{Designation of section title rows for custom sstable}
+\usage{
+ss_section(sstable, rows)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{rows}{a numeric vector}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the designated rows as section title rows of an sstable
+}
diff --git a/man/ss_template.Rd b/man/ss_template.Rd
new file mode 100644
index 0000000..0f95b83
--- /dev/null
+++ b/man/ss_template.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_template}
+\alias{ss_template}
+\title{Set template for sstable}
+\usage{
+ss_template(sstable, template = c("baseline", "survcomp", "ae"))
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{template}{An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+
+If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the template for sstable
+}

From cd45c542c2fc838e11252cbedb4f8eea24e8c8a5 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 27 Sep 2019 13:26:27 +0700
Subject: [PATCH 006/193] Hot fix for ssformat

---
 R/ssformat.R | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/R/ssformat.R b/R/ssformat.R
index 858bcd5..3808837 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -3,6 +3,12 @@
 ## Day first written: Sep 20 2019
 ## Ver 0.1.0.092019
 
+## Check legitibility
+ss_legit <- function(sstable){
+  requireNamespace('tibble')
+  if (!is.matrix(sstable) & !is.data.frame(sstable)) stop('sstable must be of type matrix or data frame.')
+  return(as.matrix(sstable))
+}
 #' Set template for sstable
 #'
 #' @description This function set the template for sstable
@@ -14,6 +20,7 @@
 #' @return a matrix of class ss_tbl
 #' @export
 ss_template <- function(sstable, template =  c('baseline', 'survcomp', 'ae')){
+  sstable <- ss_legit(sstable)
   ss.class <- class(sstable)
   if (missing(template)) template <- NA
   if (!is.na(template)) template <- match.arg(template)
@@ -38,6 +45,7 @@ ss_template <- function(sstable, template =  c('baseline', 'survcomp', 'ae')){
 #' @return a matrix of class ss_tbl
 #' @export
 ss_header <- function(sstable, rows) {
+  sstable <- ss_legit(sstable)
   if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
   rownames(sstable)[rows] <- paste("header", seq_along(rows), sep=".")
   ss_table <- ss_template(sstable, template = NA)
@@ -52,6 +60,7 @@ ss_header <- function(sstable, rows) {
 #' @return a matrix of class ss_tbl
 #' @export
 ss_body <- function(sstable, rows){
+  sstable <- ss_legit(sstable)
   if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
   rownames(sstable)[rows] <- paste("body", seq_along(rows), sep=".")
   ss_table <- ss_template(sstable, template = NA)
@@ -66,6 +75,7 @@ ss_body <- function(sstable, rows){
 #' @return a matrix of class ss_tbl
 #' @export
 ss_section <- function(sstable, rows){
+  sstable <- ss_legit(sstable)
   if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
   rownames(sstable)[rows] <- paste("section", seq_along(rows), sep=".")
   ss_table <- ss_template(sstable, template = NA)

From 4c75b927249dd9d801bce09851ee64129b71a35e Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 27 Sep 2019 14:15:12 +0700
Subject: [PATCH 007/193] Add caption feature for ss_huxtable

---
 R/ssformat.R        | 26 +++++++++++++++++++++++---
 man/ss_flextable.Rd |  3 +++
 man/ss_huxtable.Rd  | 17 +++++++++++++++--
 3 files changed, 41 insertions(+), 5 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 3808837..c513cc1 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -1,6 +1,7 @@
 ## Quick sstable drawing helpers
 ## Author: trinhdhk
 ## Day first written: Sep 20 2019
+## Latest build: Sep 27 2019
 ## Ver 0.1.0.092019
 
 ## Check legitibility
@@ -161,6 +162,7 @@ ss_guess_format.survcomp_tbl <- function(sstable){
 #' @param footer a character vector each of which is the footnote of the flextable
 #' @param bg a character string that defines stripped background color of the flextable
 #' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
+#' @seealso \link[flextable]{flextable}
 #' @return an object of class flextable
 #' @export
 ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
@@ -255,14 +257,26 @@ ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 #' @description This function generate a huxtable from a sstable.
 #' @param sstable a data frame following sstable's grammar
 #' @param footer a character vector each of which is the footnote of the flextable
+#' @param caption a string containing table caption. Default is NULL
+#' @param caption_pos
+#' A length-one character vector,
+#' one of "top", "bottom", "topleft", "topcenter", "topright", "bottomleft", "bottomcenter", "bottomright".
+#' Default is "bottomcenter".
+#'
+#' See also \link[huxtable]{caption_pos}
 #' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.
 #' @param border_width a number that defines huxtable border width
 #' @param border_color a character string that defines huxtable border color
 #' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
 #' @return an object of class huxtable
+#' @seealso \link[huxtable]{huxtable}
 #' @export
-ss_huxtable <- function(sstable, footer = NULL, bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75),...){
+ss_huxtable <- function(sstable, footer = NULL,
+                        caption = NULL, caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
+                                                        "bottomleft", "bottomcenter", "bottomright"),
+                        bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75),...){
   requireNamespace('huxtable')
+  if (missing(caption_pos)) caption_pos <- 'bottomcenter' else caption_pos <- match.arg(caption_pos)
   sstable <- ss_format(sstable, ..., .guess = TRUE)
   header <- which(grepl("header", rownames(sstable)))
   body <- which(grepl("body", rownames(sstable)))
@@ -336,8 +350,8 @@ ss_huxtable <- function(sstable, footer = NULL, bg = c(grey(.95), 'white'), bord
   for (i in section){
     ht <- huxtable::set_bold(ht, i, huxtable::everywhere, value = TRUE)
     ### merging cells that from the left if the whole row is empty
-    if (all(sstable[k, -1] == ''))
-      ht <- huxtable::merge_cells(ht, i, everywhere)
+    if (all(sstable[i, -1] == ''))
+      ht <- huxtable::merge_cells(ht, i, huxtable::everywhere)
   }
 
   ## footer
@@ -345,6 +359,12 @@ ss_huxtable <- function(sstable, footer = NULL, bg = c(grey(.95), 'white'), bord
     ht <- huxtable::add_footnote(ht, footer[i], if (i>1) border = 0)
   }
 
+  ## caption
+  if (length(caption)){
+    huxtable::caption(ht) <- caption
+    huxtable::caption_pos(ht) <- caption_pos
+  }
+
   ## format huxtable
   ht <- huxtable::set_width(ht, 1)
 
diff --git a/man/ss_flextable.Rd b/man/ss_flextable.Rd
index 2f7e8e1..79c9b1f 100644
--- a/man/ss_flextable.Rd
+++ b/man/ss_flextable.Rd
@@ -21,3 +21,6 @@ an object of class flextable
 \description{
 This function generate a flextable from a sstable.
 }
+\seealso{
+\link[flextable]{flextable}
+}
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
index 3bfe50b..b197f59 100644
--- a/man/ss_huxtable.Rd
+++ b/man/ss_huxtable.Rd
@@ -4,14 +4,24 @@
 \alias{ss_huxtable}
 \title{Create summary table using huxtable package.}
 \usage{
-ss_huxtable(sstable, footer = NULL, bg = c(grey(0.95), "white"),
-  border_width = 0.8, border_color = grey(0.75), ...)
+ss_huxtable(sstable, footer = NULL, caption = NULL,
+  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
+  "bottomleft", "bottomcenter", "bottomright"), bg = c(grey(0.95),
+  "white"), border_width = 0.8, border_color = grey(0.75), ...)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
 
 \item{footer}{a character vector each of which is the footnote of the flextable}
 
+\item{caption}{a string containing table caption. Default is NULL}
+
+\item{caption_pos}{A length-one character vector,
+one of "top", "bottom", "topleft", "topcenter", "topright", "bottomleft", "bottomcenter", "bottomright".
+Default is "bottomcenter".
+
+See also \link[huxtable]{caption_pos}}
+
 \item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.}
 
 \item{border_width}{a number that defines huxtable border width}
@@ -26,3 +36,6 @@ an object of class huxtable
 \description{
 This function generate a huxtable from a sstable.
 }
+\seealso{
+\link[huxtable]{huxtable}
+}

From ae3da25774a53a6b23709b35959ad0e08e47c27b Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 27 Sep 2019 14:54:47 +0700
Subject: [PATCH 008/193] Hot fix for ht_theme_markdown

---
 R/ssformat.R             | 6 +++---
 man/ht_theme_markdown.Rd | 4 ++--
 man/ss_huxtable.Rd       | 2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index c513cc1..7b7f1d6 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -264,7 +264,7 @@ ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 #' Default is "bottomcenter".
 #'
 #' See also \link[huxtable]{caption_pos}
-#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
 #' @param border_width a number that defines huxtable border width
 #' @param border_color a character string that defines huxtable border color
 #' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
@@ -377,12 +377,12 @@ ss_huxtable <- function(sstable, footer = NULL,
 }
 
 
-#' A stripping theme for huxtable object
+#' A stripe theme for huxtable object
 #'
 #' @description This function provides a stripped theme for huxtable object
 #' @param ht an object of class huxtable
 #' @param header_rows a numeric vector that delimits the header zone.
-#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
 #' @param border_width a number that defines huxtable border width
 #' @param border_color a character string that defines huxtable border color
 #' @return an object of class huxtable
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
index 3d3452d..c104c8e 100644
--- a/man/ht_theme_markdown.Rd
+++ b/man/ht_theme_markdown.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/ssformat.R
 \name{ht_theme_markdown}
 \alias{ht_theme_markdown}
-\title{A stripping theme for huxtable object}
+\title{A stripe theme for huxtable object}
 \usage{
 ht_theme_markdown(ht, header_rows = 1, header_cols = 1,
   border_width = 0.8, border_color = grey(0.75), bg = c(grey(0.95),
@@ -17,7 +17,7 @@ ht_theme_markdown(ht, header_rows = 1, header_cols = 1,
 
 \item{border_color}{a character string that defines huxtable border color}
 
-\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.}
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
 }
 \value{
 an object of class huxtable
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
index b197f59..4a560e5 100644
--- a/man/ss_huxtable.Rd
+++ b/man/ss_huxtable.Rd
@@ -22,7 +22,7 @@ Default is "bottomcenter".
 
 See also \link[huxtable]{caption_pos}}
 
-\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripped background, otherwise plain.}
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
 
 \item{border_width}{a number that defines huxtable border width}
 

From 0d8ac807f98c09017541e0e95d18818058bb0a50 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 1 Oct 2019 09:40:08 +0700
Subject: [PATCH 009/193] Add new function: simple_relevel. Tweaks for
 ss_huxtable

---
 NAMESPACE             |  3 ++
 R/simple_relevel.R    | 69 +++++++++++++++++++++++++++++++++++++++++++
 R/ssformat.R          |  1 +
 man/simple_relevel.Rd | 38 ++++++++++++++++++++++++
 4 files changed, 111 insertions(+)
 create mode 100644 R/simple_relevel.R
 create mode 100644 man/simple_relevel.Rd

diff --git a/NAMESPACE b/NAMESPACE
index 2de34ff..ac3a27c 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -3,6 +3,8 @@
 S3method(print,ss_tbl)
 S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
+S3method(simple_relevel,data.frame)
+S3method(simple_relevel,default)
 export(contSummary)
 export(convert.info)
 export(createProject)
@@ -13,6 +15,7 @@ export(inspect.data)
 export(labAE)
 export(myformat.data)
 export(simple_recode)
+export(simple_relevel)
 export(ss_body)
 export(ss_flextable)
 export(ss_format)
diff --git a/R/simple_relevel.R b/R/simple_relevel.R
new file mode 100644
index 0000000..9bac384
--- /dev/null
+++ b/R/simple_relevel.R
@@ -0,0 +1,69 @@
+#' Relevel in correspondence to another factor
+#'
+#' @description Function to releve a variable based on a another variable of class "factor".
+#' @param x A vector
+#' @return A vector or a data.frame
+#' @export
+simple_relevel <- function(x, ...){
+  UseMethod('simple_relevel')
+}
+
+#' @rdname simple_relevel
+#'
+#' @param data A data.frame
+#' @param by A vector or unquoted variable name the relevelling process will base on
+#' @param ... Unquoted variable names that will be relevelled
+#' @return A data.frame
+#' @export
+simple_relevel.data.frame <- function(data, ..., by){
+  #... variables to relevel
+  # by: variable that is based on
+  require(dplyr)
+  requireNamespace('rlang')
+  dep.vars <- rlang::enquos(...)
+  dep.vars.2 <- sapply(dep.vars, function(dep.var) rlang::quo_name(dep.var))
+  by <- rlang::enquo(by)
+  by.2 <- rlang::quo_name(by)
+  # browser()
+  if (!is.factor(data[[by.2]])) data[[by.2]] <- as.factor(data[[by.2]])
+  for(i in seq_along(dep.vars.2)){
+    # browser()
+    dep.var.2 <- dep.vars.2[[i]]
+    dep.var <- dep.vars[[i]]
+    isolated.data <-
+      data[c(by.2, dep.var.2)] %>%
+      unique() %>% #remove all dup
+      arrange({{dep.var}}) %>% arrange({{by}})# first, sort the data by dep.var to retain prev levels, second by "by"
+    dep.var.lv <- isolated.data[[dep.var.2]]
+    # browser()
+    data[[dep.var.2]] <- factor(data[[dep.var.2]], levels = dep.var.lv)
+  }
+  data
+}
+
+#' @rdname simple_relevel
+#'
+#' @param x a vector that will be relevelled
+#' @param by a vector that the relevelling process will base on
+#' @param map a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
+#' or a data.frame with two columns "from" and "to" serving the same purpose.
+#' @export
+simple_relevel.default <- function(x, by, map){
+  requireNamespace('dplyr')
+  if (is.list(map)){
+    map <- do.call(rbind,
+                   lapply(seq_along(map),
+                          function(i){
+                            .map <- map[i]
+                            name <- names(.map)
+                            data.frame(from = rep(name, length(map[[i]])), to = map[[i]])
+                          }))
+  }
+  # browser()
+  stopifnot(setequal(unique(x), map$to))
+  stopifnot(setequal(unique(by), map$from))
+  map$from <- factor(map$from, levels = levels(by))
+  X <- data.frame(to = x)
+  data <- merge(X, map, by = 'to', all.x = TRUE)
+  simple_relevel.data.frame(data, to, by = from)$to
+}
diff --git a/R/ssformat.R b/R/ssformat.R
index 7b7f1d6..964f060 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -397,6 +397,7 @@ ht_theme_markdown <- function(ht, header_rows = 1, header_cols=1,
   }
 
   huxtable::bottom_border(ht)[max(header_rows), ] <- border_width
+  huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width
 
   for (header_col in header_cols){
     huxtable::bold(ht)[header_col, ] <- TRUE
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
new file mode 100644
index 0000000..eee08e3
--- /dev/null
+++ b/man/simple_relevel.Rd
@@ -0,0 +1,38 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/simple_relevel.R
+\name{simple_relevel}
+\alias{simple_relevel}
+\alias{simple_relevel.data.frame}
+\alias{simple_relevel.default}
+\title{Relevel in correspondence to another factor}
+\usage{
+simple_relevel(x, ...)
+
+\method{simple_relevel}{data.frame}(data, ..., by)
+
+\method{simple_relevel}{default}(x, by, map)
+}
+\arguments{
+\item{x}{A vector}
+
+\item{...}{Unquoted variable names that will be relevelled}
+
+\item{data}{A data.frame}
+
+\item{by}{A vector or unquoted variable name the relevelling process will base on}
+
+\item{map}{a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
+or a data.frame with two columns "from" and "to" serving the same purpose.}
+
+\item{x}{a vector that will be relevelled}
+
+\item{by}{a vector that the relevelling process will base on}
+}
+\value{
+A vector or a data.frame
+
+A data.frame
+}
+\description{
+Function to releve a variable based on a another variable of class "factor".
+}

From 1ff86df3011447e35f73da854eb857f9da7d59b2 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Wed, 2 Oct 2019 11:03:38 +0700
Subject: [PATCH 010/193] Fix for ungrouped ae_tbl. Add ability to keep empty
 group in baseline_tbl.

---
 R/sstable.R             | 166 ++++++++++++++++++++++++++--------------
 man/sstable.baseline.Rd |  12 +--
 2 files changed, 114 insertions(+), 64 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index ca69b60..e2015af 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -124,6 +124,7 @@ contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mea
 #' @param data a data frame to derive baseline table from.
 #' @param bycol a logical value specifies whether the summary will be by column or by row.
 #' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
+#' @param keepEmptyGroup a logical value specifying whether should keep empty groups
 #' @param statistics a character specifies summary statistics for continuous row variables.
 #' @param continuous a logical vector specifies whether each row variables is continuous or categorical.
 #' @param digits a number specifies number of significant digits for numeric statistics.
@@ -142,7 +143,7 @@ contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mea
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @export
-sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE,
+sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
                              statistics = "med.IQR", continuous = NA, fullfreq = TRUE, digits = 1,
                              test = FALSE, pdigits = 3, pcutoff = 0.0001,
                              chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
@@ -162,9 +163,14 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE,
   if (!is.null(y)) {
     if (all(!c("character", "factor", "logical") %in% class(y)) |
         (any(c("numeric", "integer") %in% class(y)) & length(unique(na.omit(y))) > 5)) {
-      stop("Colum-wise variable must be categorical !!!")
+      stop("Column-wise variable must be categorical !!!")
+    }
+    if (is.factor(y)){
+      if (!keepEmptyGroup) y <- droplevels(y)
+      y <- addNA(y, ifany = TRUE)
+    } else {
+      y <- factor(as.character(y), levels = sort(unique(as.character(y)), na.last = TRUE), exclude = NULL)
     }
-    y <- factor(as.character(y), levels = sort(unique(as.character(y)), na.last = TRUE), exclude = NULL)
   } else {
     y <- factor(rep("Total", nrow(dat)))
   }
@@ -602,6 +608,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
+  is.grouped <- !missing(group.var)
+
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
   arm_lev <- sort(unique(as.character(idarm$arm)), na.last = TRUE)
@@ -664,7 +672,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                                                              " (", formatC(100 * patient_p, digits, format = "f"), "%)")
   ## add raw values to 2 dummy columns for sorting purpose
   value[, (nlevels(ae_arm$arm)*2 + 1):(nlevels(ae_arm$arm)*3)] <- patient_n
-  ae_value <- cbind(levels(ae_arm$aetype), value)
+  ae_value <- cbind(aename = levels(ae_arm$aetype), value)
+
+  ## get the aehead -trinhdhk
+  ae_value.head <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% filter(!aename %in% aetype_lev.raw)
 
   ## categorizing ae into groups
   ## author: trinhdhk
@@ -677,49 +688,47 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     group_data <- group_data[, c(aetype.var, group.var)]
     group_data[,aetype.var] <- as.character(group_data[,aetype.var])
     names(group_data) <- c(aetype.var, '.tmp.group')
-  } else {
-    ## - create a fake grouping
-    group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
-    names(group_data) <- c(aetype.var, '.tmp.group')
-  }
+  # } else {
+  #   ## - create a fake grouping
+  #   group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
+  #   names(group_data) <- c(aetype.var, '.tmp.group')
+  # }
 
   # browser()
 
-  ### bind group back to summary table -trinhdhk
-  ae_value.headless <-
-    as.data.frame(ae_value, stringsAsFactors = FALSE) %>%
-    filter(V1 %in% aetype_lev.raw) %>%
-    rename({{aetype.var}} := 'V1') %>%
-    right_join(group_data, by = aetype.var) %>%
-    group_by(.tmp.group) %>%
-    group_modify(~ rbind(c(as.character(.y$.tmp.group),
-                           unlist(lapply(seq_along(arm_lev),
-                                         function(i){
-                                           return(c(
-                                             sum(as.numeric(unlist(.x[, 2*i]))),
-                                             ''))
+    ### bind group back to summary table -trinhdhk
+    ae_value.headless <-
+      as.data.frame(ae_value, stringsAsFactors = FALSE) %>%
+      filter(aename %in% aetype_lev.raw) %>%
+      rename({{aetype.var}} := aename) %>%
+      right_join(group_data, by = aetype.var) %>%
+      group_by(.tmp.group) %>%
+      group_modify(~ rbind(c(as.character(.y$.tmp.group),
+                             unlist(lapply(seq_along(arm_lev),
+                                           function(i){
+                                             return(c(
+                                               sum(as.numeric(unlist(.x[, 2*i]))),
+                                               ''))
                                              # paste(sum(as.numeric(unlist(.x[, length(arm_lev)*2+i+1])))))
-                                         })),
-                           rep('',ncol(ae_value)-1-2*length(arm_lev))
-                           ),.x))
-  # browser()
-
-  grouptitle_index <- ae_value.headless %>% group_rows() %>% sapply(., function(x) head(x, 1))
-
-  ae_value.headless <-
-    ae_value.headless %>%
-    ungroup %>%
-    select(-.tmp.group)
+                                           })),
+                             rep('',ncol(ae_value)-1-2*length(arm_lev))
+      ),.x))
+    # browser()
 
-  ae_value.head <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% filter(!V1 %in% aetype_lev.raw)
+    grouptitle_index <- ae_value.headless %>% group_rows() %>% sapply(., function(x) head(x, 1))
 
-  #adjust the row number of group title by combining with the head
-  grouptitle_index <- grouptitle_index + nrow(ae_value.head)
-  ae_value <-
-    ae_value.head %>%
-    `names<-`(names(ae_value.headless)) %>%
-    rbind(ae_value.headless)
+    ae_value.headless <-
+      ae_value.headless %>%
+      ungroup %>%
+      select(-.tmp.group)
 
+    #adjust the row number of group title by combining with the head
+    grouptitle_index <- grouptitle_index + nrow(ae_value.head)
+    ae_value <-
+      ae_value.head %>%
+      `names<-`(names(ae_value.headless)) %>%
+      rbind(ae_value.headless)
+  } else ae_value <- as.data.frame(ae_value, stringsAsFactors = FALSE)
   # browser()
 
   ## test
@@ -777,15 +786,16 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     pval[is.na(pval)] <- "-"
 
     ## add grouping row - trinhdhk
-    ae_value <-
-      left_join(
-        ae_value,
-        cbind(aetype=aetype_lev, pval) %>%
-          as.data.frame(stringsAsFactors = FALSE) %>%
-          rename({{aetype.var}} := aetype),
-        by = aetype.var
-      ) %>%
-      mutate(pval = replace_na(pval, ''))
+    # browser()
+      ae_value <-
+        left_join(
+          ae_value,
+          cbind(aetype=aetype_lev, pval) %>%
+            as.data.frame(stringsAsFactors = FALSE) %>%
+            rename({{aetype.var}} := aetype),
+          by = aetype.var
+        ) %>%
+        mutate(pval = replace_na(pval, ''))
   }
 
   ae_value <- as.matrix(ae_value)
@@ -796,7 +806,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   split.parts <- c(1, if(is.null(group.var)) (nrow(ae_value.head)+1) else grouptitle_index)
   col.name <- arrange(mutate(expand.grid(c('ep', 'n.pt'), 1:nlevels(ae_arm$arm)), out = paste(Var1, Var2, sep='.')), Var2)$out
   dummy.col.name <- paste('pt', 1:nlevels(ae_arm$arm), sep='.')
-  colnames(ae_value) <- c('aetype', col.name, dummy.col.name, 'p')
+  colnames(ae_value) <- c('aetype', col.name, dummy.col.name, if (test) 'p')
   ae_value <- mutate_at(as.data.frame(ae_value, stringsAsFactors = FALSE),
                         vars(matches('(^pt.\\d)|(^ep.\\d)'), dummy.col.name), as.numeric)
 
@@ -810,28 +820,66 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   ## - convert the sign and var into arrange-friendly quosures.
   arrange.params <- rlang::as_quosures(
-    lapply(seq_along(sort.vars),
+    unlist(lapply(seq_along(sort.vars),
            function(i){
              sort.var <- sort.vars[[i]]
              sort.sign <- sort.signs[[i]]
              if (identical(sort.sign, quote(`+`)))
-                 as.formula(paste0('~', sort.var, if (sort.var != 'p') c('.1', '.2')), env = parent.frame())
+                 lapply(paste0('~', sort.var, if (sort.var != 'p') c('.1', '.2')), env = parent.frame(), as.formula)
              else
-               as.formula(paste0('~desc(', sort.var,if (sort.var != 'p') c('.1', '.2'), ')'), env = parent.frame())
+               lapply(paste0('~desc(', sort.var,if (sort.var != 'p') c('.1', '.2'), ')'), env = parent.frame(), as.formula)
            })
-    )
+    ))
 
   ae_value.sorted <- do.call(rbind,
                              lapply(ae_value.group.headless,
                                     function(grouped_ae){
-                                      rbind(
-                                        grouped_ae[1, ],
+                                      if (is.grouped){
+                                        rbind(
+                                          grouped_ae[1, ],
+                                          do.call(arrange, rlang::flatten(list(
+                                            .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
+                                            unlist(arrange.params))))
+                                        )
+                                      } else {
                                         do.call(arrange, rlang::flatten(list(
-                                          .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
+                                          .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE),
                                           unlist(arrange.params))))
-                                      )
+                                      }
                                     }))
 
+  # The code below is experimental. I'm not really sure which perfoms faster?
+  # ae_value.sorted <-
+  #   do.call(rbind,
+  #           lapply(ae_value.group.headless,
+  #                  function(grouped_ae){
+  #                    sort.params <-
+  #                      lapply(seq_along(sort.vars),
+  #                             function(i){
+  #                               sort.var <- sort.vars[[i]]
+  #                               sort.sign <- sort.signs[[i]]
+  #                               sort.cols <- if (sort.var != 'p') paste0(sort.var, c('.1', '.2')) else sort.var
+  #
+  #                               if (identical(sort.sign, quote(`+`))){
+  #                                 if (is.grouped) lapply(sort.cols, function(sort.col) grouped_ae[-1, sort.col])
+  #                                 else lapply(sort.cols, function(sort.col) grouped_ae[, sort.col])
+  #                               }
+  #                               else{
+  #                                 if (is.grouped) lapply(sort.cols, function(sort.col) desc(grouped_ae[-1, sort.col]))
+  #                                 else lapply(sort.cols, function(sort.col) desc(grouped_ae[, sort.col]))
+  #                               }
+  #                             })
+  #                    if (is.grouped)
+  #                      rbind(
+  #                        grouped_ae[1,],
+  #                        do.call(arrange, append(list(.data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ]),
+  #                                                flatten(sort.params)))
+  #                      )
+  #                    else
+  #                      do.call(arrange, append(list(.data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)),
+  #                                              flatten(sort.params)))
+  #                  }))
+
   ## - bind the head again
   ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '')
 
@@ -855,7 +903,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
               "n patient refer to the number of patients with at least one event in each study arm.",
               if (any(value == "-")) "- : value cannot be estimated." else NULL,
               if (test) {paste("p-values were based on",
-                               ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"),
+                               ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test if applicable and Fisher's exact test otherwise "),
                                "comparing n patient between study arms for each type of adverse event.")} else NULL,
               footer)
 
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
index cca6013..0883621 100644
--- a/man/sstable.baseline.Rd
+++ b/man/sstable.baseline.Rd
@@ -5,11 +5,11 @@
 \title{Create baseline table}
 \usage{
 sstable.baseline(formula, data, bycol = TRUE, pooledGroup = FALSE,
-  statistics = "med.IQR", continuous = NA, fullfreq = TRUE,
-  digits = 1, test = FALSE, pdigits = 3, pcutoff = 1e-04,
-  chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE,
-  B = 2000, workspace = 1e+06, hybrid = FALSE, footer = NULL,
-  flextable = FALSE, bg = "#F2EFEE")
+  keepEmptyGroup = FALSE, statistics = "med.IQR", continuous = NA,
+  fullfreq = TRUE, digits = 1, test = FALSE, pdigits = 3,
+  pcutoff = 1e-04, chisq.test = FALSE, correct = FALSE,
+  simulate.p.value = FALSE, B = 2000, workspace = 1e+06,
+  hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE")
 }
 \arguments{
 \item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.}
@@ -20,6 +20,8 @@ sstable.baseline(formula, data, bycol = TRUE, pooledGroup = FALSE,
 
 \item{pooledGroup}{a logical value specifies whether to pool all subgroups of column variable.}
 
+\item{keepEmptyGroup}{a logical value specifying whether should keep empty groups}
+
 \item{statistics}{a character specifies summary statistics for continuous row variables.}
 
 \item{continuous}{a logical vector specifies whether each row variables is continuous or categorical.}

From 49c6622c524113c386912e3dff44060ee6540dcc Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Wed, 2 Oct 2019 11:04:00 +0700
Subject: [PATCH 011/193] fix for ss_huxtable

---
 R/ssformat.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 964f060..231b045 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -356,7 +356,7 @@ ss_huxtable <- function(sstable, footer = NULL,
 
   ## footer
   for (i in seq_along(footer)){
-    ht <- huxtable::add_footnote(ht, footer[i], if (i>1) border = 0)
+    ht <- huxtable::add_footnote(ht, footer[i], border = if (i>1) 0 else border_width)
   }
 
   ## caption

From b306130ea0a4e499afbeca27e173c8271ece998a Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Wed, 2 Oct 2019 11:34:41 +0700
Subject: [PATCH 012/193] Enable quick wrap for huxtable

---
 DESCRIPTION        | 3 ++-
 R/ssformat.R       | 8 +++++++-
 man/ss_huxtable.Rd | 7 ++++++-
 3 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 86e5623..ad061d3 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -19,5 +19,6 @@ Imports: lubridate,
     tidyr
 RoxygenNote: 6.1.1
 Suggests: knitr,
-    rmarkdown
+    rmarkdown,
+    huxtable
 VignetteBuilder: knitr
diff --git a/R/ssformat.R b/R/ssformat.R
index 231b045..4325578 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -267,6 +267,9 @@ ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 #' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
 #' @param border_width a number that defines huxtable border width
 #' @param border_color a character string that defines huxtable border color
+#' @param wrap a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
+#' This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
+#' See also \link[huxtable]{wrap}
 #' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
 #' @return an object of class huxtable
 #' @seealso \link[huxtable]{huxtable}
@@ -274,7 +277,7 @@ ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 ss_huxtable <- function(sstable, footer = NULL,
                         caption = NULL, caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
                                                         "bottomleft", "bottomcenter", "bottomright"),
-                        bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75),...){
+                        bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75), wrap = FALSE,...){
   requireNamespace('huxtable')
   if (missing(caption_pos)) caption_pos <- 'bottomcenter' else caption_pos <- match.arg(caption_pos)
   sstable <- ss_format(sstable, ..., .guess = TRUE)
@@ -373,6 +376,9 @@ ss_huxtable <- function(sstable, footer = NULL,
                           border_color = border_color,
                           bg = bg)
 
+  ## format wrapping
+  huxtable::wrap(ht) <- wrap
+
   return(ht)
 }
 
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
index 4a560e5..34b32b1 100644
--- a/man/ss_huxtable.Rd
+++ b/man/ss_huxtable.Rd
@@ -7,7 +7,8 @@
 ss_huxtable(sstable, footer = NULL, caption = NULL,
   caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
   "bottomleft", "bottomcenter", "bottomright"), bg = c(grey(0.95),
-  "white"), border_width = 0.8, border_color = grey(0.75), ...)
+  "white"), border_width = 0.8, border_color = grey(0.75),
+  wrap = FALSE, ...)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
@@ -28,6 +29,10 @@ See also \link[huxtable]{caption_pos}}
 
 \item{border_color}{a character string that defines huxtable border color}
 
+\item{wrap}{a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
+This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
+See also \link[huxtable]{wrap}}
+
 \item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
 }
 \value{

From 21af3852a4812c4ce92eb5fac58e4f2023002653 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 3 Oct 2019 14:09:04 +0700
Subject: [PATCH 013/193] New theme kable

---
 NAMESPACE                |  1 +
 R/ssformat.R             | 45 +++++++++++++++++++++++++++++++++++++---
 man/ht_theme_kable.Rd    | 27 ++++++++++++++++++++++++
 man/ht_theme_markdown.Rd |  2 +-
 4 files changed, 71 insertions(+), 4 deletions(-)
 create mode 100644 man/ht_theme_kable.Rd

diff --git a/NAMESPACE b/NAMESPACE
index ac3a27c..148ce99 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -9,6 +9,7 @@ export(contSummary)
 export(convert.info)
 export(createProject)
 export(getlabel)
+export(ht_theme_kable)
 export(ht_theme_markdown)
 export(import.info)
 export(inspect.data)
diff --git a/R/ssformat.R b/R/ssformat.R
index 4325578..7a42561 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -371,7 +371,7 @@ ss_huxtable <- function(sstable, footer = NULL,
   ## format huxtable
   ht <- huxtable::set_width(ht, 1)
 
-  ht <- ht_theme_markdown(ht, header_rows = header, header_cols = 1,
+  ht <- ht_theme_markdown(ht, header_rows = header, header_cols = NULL,
                           border_width = border_width,
                           border_color = border_color,
                           bg = bg)
@@ -393,7 +393,7 @@ ss_huxtable <- function(sstable, footer = NULL,
 #' @param border_color a character string that defines huxtable border color
 #' @return an object of class huxtable
 #' @export
-ht_theme_markdown <- function(ht, header_rows = 1, header_cols=1,
+ht_theme_markdown <- function(ht, header_rows = 1:2, header_cols = NULL,
                               border_width=0.8, border_color = grey(0.75), bg = c(grey(.95),'white')){
   huxtable::top_border(ht)[1, ] <- border_width
   huxtable::bottom_border(ht)[nrow(ht),] <- border_width
@@ -406,7 +406,7 @@ ht_theme_markdown <- function(ht, header_rows = 1, header_cols=1,
   huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width
 
   for (header_col in header_cols){
-    huxtable::bold(ht)[header_col, ] <- TRUE
+    huxtable::bold(ht)[, header_col] <- TRUE
   }
   ht <- huxtable::set_all_border_colors(ht, border_color)
   if (length(bg > 1)) ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, as.list(bg)))
@@ -414,3 +414,42 @@ ht_theme_markdown <- function(ht, header_rows = 1, header_cols=1,
   ht
 }
 
+#' A kable-esque theme for huxtable object
+#'
+#' @description This function provides a kable-esque theme for huxtable object
+#' @param ht an object of class huxtable
+#' @param header_rows a numeric vector that delimits the header zone.
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
+#' @param border_width a number that defines huxtable border width
+#' @param border_color a character string that defines huxtable border color
+#' @return an object of class huxtable
+#' @export
+ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
+                           border_width = 1, border_color = '#dddddd', bg = c('white', '#f9f9f9')){
+  huxtable::top_border(ht)[1, ] <- 0
+  huxtable::bottom_border(ht)[nrow(ht),] <- border_width
+
+  for (header_row in header_rows){
+    huxtable::bold(ht)[header_row, ] <- TRUE
+    for (col in 1:ncol(ht)){
+      if (!is.na(ht[header_row, col]) & stringr::str_trim(ht[header_row, col]) != ''){
+        huxtable::bottom_border(ht)[header_row, col] <- border_width
+      }
+    }
+  }
+  # browser()
+
+  huxtable::bottom_border(ht)[max(header_rows):nrow(ht), ] <- border_width
+  huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width*2
+
+  for (header_col in header_cols){
+    huxtable::bold(ht)[, header_col] <- TRUE
+  }
+
+  ht <- huxtable::set_all_border_colors(ht, border_color)
+  if (length(bg > 1)){
+    ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, append(as.list(bg), c(from = max(header_rows)+1))))
+    huxtable::background_color(ht)[header_rows,] <- bg[[1]]
+  } else huxtable::background_color(ht) <- bg
+  ht
+}
diff --git a/man/ht_theme_kable.Rd b/man/ht_theme_kable.Rd
new file mode 100644
index 0000000..e5acfba
--- /dev/null
+++ b/man/ht_theme_kable.Rd
@@ -0,0 +1,27 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ht_theme_kable}
+\alias{ht_theme_kable}
+\title{A kable-esque theme for huxtable object}
+\usage{
+ht_theme_kable(ht, header_rows = 1:2, header_cols = NULL,
+  border_width = 1, border_color = "#dddddd", bg = c("white",
+  "#f9f9f9"))
+}
+\arguments{
+\item{ht}{an object of class huxtable}
+
+\item{header_rows}{a numeric vector that delimits the header zone.}
+
+\item{border_width}{a number that defines huxtable border width}
+
+\item{border_color}{a character string that defines huxtable border color}
+
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
+}
+\value{
+an object of class huxtable
+}
+\description{
+This function provides a kable-esque theme for huxtable object
+}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
index c104c8e..eb7feb5 100644
--- a/man/ht_theme_markdown.Rd
+++ b/man/ht_theme_markdown.Rd
@@ -4,7 +4,7 @@
 \alias{ht_theme_markdown}
 \title{A stripe theme for huxtable object}
 \usage{
-ht_theme_markdown(ht, header_rows = 1, header_cols = 1,
+ht_theme_markdown(ht, header_rows = 1:2, header_cols = NULL,
   border_width = 0.8, border_color = grey(0.75), bg = c(grey(0.95),
   "white"))
 }

From 873169559f652d87ecc0094b3dfab2a62e444c6d Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 3 Oct 2019 14:09:19 +0700
Subject: [PATCH 014/193] Fix sstable.ae

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index e2015af..b5696d8 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -637,7 +637,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
   #browser()
 
-  aetype_lev.raw <- unique(as.character(ae_data[, aetype.var]))
+  aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
   aetype_lev <- c("Any selected adverse event",
                   if (!is.null(grade.var)) paste("-", grade2),
                   aetype_lev.raw)

From f2cb9245c3ed1b27b4be50311717d661fc93b7f9 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Sun, 6 Oct 2019 10:32:27 +0700
Subject: [PATCH 015/193] Fix ssformat. Fix continuous z summary in
 sstable.baseline

---
 R/ssformat.R | 40 +++++++++++++++++++++++++++++++---------
 R/sstable.R  | 14 ++++++++------
 2 files changed, 39 insertions(+), 15 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 7a42561..744d0cb 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -333,20 +333,42 @@ ss_huxtable <- function(sstable, footer = NULL,
   }
 
   ## format header
+  # browser()
+
+  # merge cols that have same values
   for (i in seq_along(ss.header2)){
+    which.start <- 1
     for (j in seq_along(ss.header2[[i]])){
-      if (j>1){
-        if (ss.header2[[i]][[j-1]] == ss.header2[[i]][[j]]){
-          ht <- huxtable::merge_cells(ht, i, (j-1):j)
-        }
-      }
-      if (i>1){
-        if (ss.header2[[i-1]][[j]] == ss.header2[[i]][[j]]){
-          ht <- huxtable::merge_cells(ht, (i-1):i, j)
-        }
+      if (j > 1){
+        if (ss.header2[[i]][[j]] != ss.header2[[i]][[j-1]])  which.start <- c(which.start, j)
       }
       ht <- huxtable::set_align(ht, i, j, value = 'center')
     }
+
+    which.start <- sort(unique(c(which.start, ncol(sstable)+1)))
+
+    for (k in seq_along(which.start)){
+      if (k < length(which.start) & which.start[k+1] - which.start[k] > 1){
+        ht <- huxtable::merge_cells(ht, i, which.start[k]:(which.start[k+1]-1))
+      }
+    }
+  }
+  # merge rows that have same values
+  for (i in 1:ncol(sstable)){
+    which.start <- 1
+    for (j in seq_along(ss.header2)){
+      if (j > 1){
+        if (ss.header2[[j]][[i]] != ss.header2[[j-1]][[i]]) which.start <- c(which.start, j)
+      }
+    }
+
+    which.start <- sort(unique(c(which.start, length(ss.header2)+1)))
+
+    for (k in seq_along(which.start)){
+      if (k < length(which.start) & which.start[k+1] - which.start[k] > 1){
+        ht <- huxtable::merge_cells(ht, which.start[k]:(which.start[k+1]-1), i)
+      }
+    }
   }
 
   ## format sections
diff --git a/R/sstable.R b/R/sstable.R
index b5696d8..82f2fd4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -206,11 +206,12 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 
   ## determine type of z
   if (!is.null(z)) {
-    zcontinuous <- ifelse(any(c("factor", "character", "logical") %in% class(z)) |
-                            (any(c("numeric", "integer") %in% class(z)) & length(unique(na.omit(z))) <= 5), FALSE, TRUE)
-    if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
+    zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
+                            (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
+    # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
+    if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
   }
-
+  # browser()
   ## digits
   if (length(digits) == 1) {
     digits <- rep(digits, ncol(x))
@@ -224,9 +225,10 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
     y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
     z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
-  } else{
-    z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
   }
+  # else{
+  #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
+  # }
 
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)

From 1624b83a346be2b5d13462529adf2619c52044dd Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 7 Oct 2019 12:34:23 +0700
Subject: [PATCH 016/193] Disable auto-sort when arm is a factor. It's not
 appropriate to do so.

---
 R/sstable.R | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 82f2fd4..a813413 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -614,8 +614,13 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
-  arm_lev <- sort(unique(as.character(idarm$arm)), na.last = TRUE)
-  idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
+  if (is.factor(idarm$arm)){
+    idarm$arm <- addNA(idarm$arm, ifany = TRUE)
+    arm_lev <-levels(idarm$arm)
+  } else {
+    arm_lev <- sort(unique(as.character(idarm$arm)), na.last = TRUE)
+    idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
+  }
 
   ## add aetype of "Any selected AE" & format aetype
   ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"

From 4743d9e887f9507b1b5b7d2ac9871296a94897bf Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 7 Oct 2019 14:27:29 +0700
Subject: [PATCH 017/193] Fix sstable problem with tibble.

---
 R/sstable.R | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/R/sstable.R b/R/sstable.R
index a813413..c2f7640 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -153,6 +153,9 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   ## get information from formula
   info <- sstable.formula(formula)
 
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+
   ## get data
   dat <- model.frame(info$formula0, data = data, na.action = NULL)
   x <- xlabel <- dat[, info$index$x, drop = FALSE]
@@ -610,6 +613,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
+  # strip the tibble class which causes issues - trinhdhk
+  ae_data <- as.data.frame(ae_data)
+  fullid_data <- as.data.frame(fullid_data)
+  group_data <- as.data.frame(group_data)
   is.grouped <- !missing(group.var)
 
   ## format study arms
@@ -1000,6 +1007,9 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
                              digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("survival")
 
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+
   arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
   arm.names <- levels(data[, arm.var])
 
@@ -1163,6 +1173,9 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
 sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
   requireNamespace("survival")
 
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+
   # result in entire population
   result <- sstable.survcomp(model = base.model, data = data, medsum = FALSE, digits = digits,
                              pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]

From 0ca9549b90f9700fd895bb3cf0da946b3c6af1a9 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 19 Nov 2019 14:22:36 +0700
Subject: [PATCH 018/193] Fix bug in sstable.ae. Update to roxygen2 7

---
 R/sstable.R                      | 176 +++++++++++++------------------
 R/toolkits.R                     |   9 +-
 man/contSummary.Rd               |   8 +-
 man/ht_theme_kable.Rd            |  11 +-
 man/ht_theme_markdown.Rd         |  11 +-
 man/inspect.data.Rd              |  11 +-
 man/simple_recode.Rd             |  17 +--
 man/simple_relevel.Rd            |   8 +-
 man/ss_format.Rd                 |  10 +-
 man/ss_huxtable.Rd               |  17 ++-
 man/sstable.ae.Rd                |  30 ++++--
 man/sstable.baseline.Rd          |  29 +++--
 man/sstable.survcomp.Rd          |  16 ++-
 man/sstable.survcomp.subgroup.Rd |  15 ++-
 14 files changed, 216 insertions(+), 152 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index c2f7640..1bd763f 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -352,10 +352,10 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
     ### border
     tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- border_remove(tab)
-    tab <- hline(tab, border = tabbd, part = "header")
-    tab <- hline_top(tab, border = tabbd, part = "all")
-    tab <- hline_bottom(tab, border = tabbd, part = "body")
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
 
   } else {
     tab <- list(table = rbind(header1, header2, value),
@@ -633,7 +633,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
   ae <- rbind(ae_data, ae_any)
   # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
-  #browser()
+  # browser()
 
   ## extract grades of ae
   if (!is.null(grade.var)) {
@@ -649,7 +649,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
   }
   ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
-  #browser()
+  # browser()
 
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
   aetype_lev <- c("Any selected adverse event",
@@ -742,7 +742,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
       ae_value.head %>%
       `names<-`(names(ae_value.headless)) %>%
       rbind(ae_value.headless)
-  } else ae_value <- as.data.frame(ae_value, stringsAsFactors = FALSE)
+  } else ae_value <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% rename({{aetype.var}} := aename)
   # browser()
 
   ## test
@@ -812,96 +812,72 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
         mutate(pval = replace_na(pval, ''))
   }
 
-  ae_value <- as.matrix(ae_value)
   # browser()
 
   ## sorting - trinhdhk
-  ## - the head will not be sorted.
-  split.parts <- c(1, if(is.null(group.var)) (nrow(ae_value.head)+1) else grouptitle_index)
-  col.name <- arrange(mutate(expand.grid(c('ep', 'n.pt'), 1:nlevels(ae_arm$arm)), out = paste(Var1, Var2, sep='.')), Var2)$out
-  dummy.col.name <- paste('pt', 1:nlevels(ae_arm$arm), sep='.')
-  colnames(ae_value) <- c('aetype', col.name, dummy.col.name, if (test) 'p')
-  ae_value <- mutate_at(as.data.frame(ae_value, stringsAsFactors = FALSE),
-                        vars(matches('(^pt.\\d)|(^ep.\\d)'), dummy.col.name), as.numeric)
-
-  ae_value.group <- lapply(seq_along(split.parts),
-                           function(i){
-                             return(ae_value[split.parts[i]:(c(split.parts, nrow(ae_value) + 1)[i+1]-1),])
-                           })
-  ## - remove the head
-  ae_value.head <- ae_value.group[[1]]
-  ae_value.group.headless <- ae_value.group[-1]
-
-  ## - convert the sign and var into arrange-friendly quosures.
-  arrange.params <- rlang::as_quosures(
-    unlist(lapply(seq_along(sort.vars),
-           function(i){
-             sort.var <- sort.vars[[i]]
-             sort.sign <- sort.signs[[i]]
-             if (identical(sort.sign, quote(`+`)))
-                 lapply(paste0('~', sort.var, if (sort.var != 'p') c('.1', '.2')), env = parent.frame(), as.formula)
-             else
-               lapply(paste0('~desc(', sort.var,if (sort.var != 'p') c('.1', '.2'), ')'), env = parent.frame(), as.formula)
-           })
-    ))
-
-  ae_value.sorted <- do.call(rbind,
-                             lapply(ae_value.group.headless,
-                                    function(grouped_ae){
-                                      if (is.grouped){
-                                        rbind(
-                                          grouped_ae[1, ],
+  if (!missing(sort.by)){
+    ## - the head will not be sorted.
+    split.parts <- c(1, if(is.null(group.var)) (nrow(ae_value.head)+1) else grouptitle_index)
+    col.name <- arrange(mutate(expand.grid(c('ep', 'n.pt'), 1:nlevels(ae_arm$arm)), out = paste(Var1, Var2, sep='.')), Var2)$out
+    dummy.col.name <- paste('pt', 1:nlevels(ae_arm$arm), sep='.')
+    colnames(ae_value) <- c('aetype', col.name, dummy.col.name, if (test) 'p')
+    ae_value <-
+      mutate_at(as.data.frame(ae_value, stringsAsFactors = FALSE),
+                vars(matches('(^pt.\\d)|(^ep.\\d)'), dummy.col.name), as.numeric) %>%
+      mutate(
+        pt.all = by(select(., starts_with('pt.')), 1:nrow(.), sum),
+        ep.all = by(select(., starts_with('ep.')), 1:nrow(.), sum)
+      )
+
+    ae_value.group <- lapply(seq_along(split.parts),
+                             function(i){
+                               return(ae_value[split.parts[i]:(c(split.parts, nrow(ae_value) + 1)[i+1]-1),])
+                             })
+    ## - remove the head
+    ae_value.head <- ae_value.group[[1]]
+    ae_value.group.headless <- ae_value.group[-1]
+
+    ## - convert the sign and var into arrange-friendly quosures.
+
+    arrange.params <- rlang::as_quosures(
+      unlist(lapply(seq_along(sort.vars),
+                    function(i){
+                      sort.var <- sort.vars[[i]]
+                      sort.sign <- sort.signs[[i]]
+                      if (identical(sort.sign, quote(`+`)))
+                        lapply(paste0('~', sort.var, if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev)))), env = parent.frame(), as.formula)
+                      else
+                        lapply(paste0('~desc(', sort.var,if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev))), ')'), env = parent.frame(), as.formula)
+                    })
+      ))
+
+
+    ae_value.sorted <- do.call(rbind,
+                               lapply(ae_value.group.headless,
+                                      function(grouped_ae){
+                                        if (is.grouped){
+                                          rbind(
+                                            grouped_ae[1, ],
+                                            do.call(arrange, rlang::flatten(list(
+                                              .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
+                                              unlist(arrange.params))))
+                                          )
+                                        } else {
                                           do.call(arrange, rlang::flatten(list(
-                                            .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
+                                            .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE),
                                             unlist(arrange.params))))
-                                        )
-                                      } else {
-                                        do.call(arrange, rlang::flatten(list(
-                                          .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE),
-                                          unlist(arrange.params))))
-                                      }
-                                    }))
-
-  # The code below is experimental. I'm not really sure which perfoms faster?
-  # ae_value.sorted <-
-  #   do.call(rbind,
-  #           lapply(ae_value.group.headless,
-  #                  function(grouped_ae){
-  #                    sort.params <-
-  #                      lapply(seq_along(sort.vars),
-  #                             function(i){
-  #                               sort.var <- sort.vars[[i]]
-  #                               sort.sign <- sort.signs[[i]]
-  #                               sort.cols <- if (sort.var != 'p') paste0(sort.var, c('.1', '.2')) else sort.var
-  #
-  #                               if (identical(sort.sign, quote(`+`))){
-  #                                 if (is.grouped) lapply(sort.cols, function(sort.col) grouped_ae[-1, sort.col])
-  #                                 else lapply(sort.cols, function(sort.col) grouped_ae[, sort.col])
-  #                               }
-  #                               else{
-  #                                 if (is.grouped) lapply(sort.cols, function(sort.col) desc(grouped_ae[-1, sort.col]))
-  #                                 else lapply(sort.cols, function(sort.col) desc(grouped_ae[, sort.col]))
-  #                               }
-  #                             })
-  #                    if (is.grouped)
-  #                      rbind(
-  #                        grouped_ae[1,],
-  #                        do.call(arrange, append(list(.data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ]),
-  #                                                flatten(sort.params)))
-  #                      )
-  #                    else
-  #                      do.call(arrange, append(list(.data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)),
-  #                                              flatten(sort.params)))
-  #                  }))
-
-  ## - bind the head again
-  ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '')
+                                        }
+                                      }))
+    ## - bind the head again
+    ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '') %>% select(-pt.all, -ep.all)
+
+    # browser()
+  }
 
   ## remove the dummy col -trinhdhk
   ae_value <- ae_value[,-(nlevels(ae_arm$arm)*2 + 2):-(nlevels(ae_arm$arm)*3+1)]
   ae_value <- as.matrix(ae_value) #convert back to matrix to avoid conflicts
   colnames(ae_value) <- NULL
-
   ## output
   ### header
   gr.lev <- levels(ae_arm$arm)
@@ -965,12 +941,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
     ### border
     tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- border_remove(tab)
-    tab <- hline(tab, border = tabbd, part = "header")
-    tab <- hline_top(tab, border = tabbd, part = "all")
-    tab <- hline_bottom(tab, border = tabbd, part = "body")
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
     ### group-name rows-trinhdhk
-    tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
+    if (is.grouped) tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
 
   } else {
     tab <- list(table = rbind(header1, header2, ae_value),
@@ -1137,10 +1113,10 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
     tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
     ### border
     tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- border_remove(tab)
-    tab <- hline(tab, border = tabbd, part = "header")
-    tab <- hline_top(tab, border = tabbd, part = "all")
-    tab <- hline_bottom(tab, border = tabbd, part = "body")
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
 
   } else {
     tab <- list(table = output,
@@ -1254,10 +1230,10 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits =
     tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(result[-c(1:2), ]), by = 2), j = 1:length(header1), bg = bg, part = "body")
     ### border
     tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- border_remove(tab)
-    tab <- hline(tab, border = tabbd, part = "header")
-    tab <- hline_top(tab, border = tabbd, part = "all")
-    tab <- hline_bottom(tab, border = tabbd, part = "body")
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
 
   } else {
     tab <- list(table = result,
diff --git a/R/toolkits.R b/R/toolkits.R
index f916f8e..495981c 100644
--- a/R/toolkits.R
+++ b/R/toolkits.R
@@ -40,11 +40,11 @@ simple_recode <- function(...){
 #' @aliases recode_var var_recode
 #' @method simple_recode data.frame
 #' @export
-simple_recode.data.frame <- function(.data, ..., ignore.case = FALSE, perl = TRUE){
+simple_recode.data.frame <- function(.data, ..., ignore.case = FALSE, fixed = FALSE, perl = TRUE){
   .maps <- list(...)
   .vars <- names(.maps)
   for (.var in .vars){
-    .data[[.var]] <- simple_recode.default(x = .data[[.var]], map = .maps[[.var]], ignore.case = ignore.case, perl = perl)
+    .data[[.var]] <- simple_recode.default(x = .data[[.var]], map = .maps[[.var]], ignore.case = ignore.case, fixed = fixed, perl = perl)
   }
   return(.data)
 }
@@ -52,7 +52,7 @@ simple_recode.data.frame <- function(.data, ..., ignore.case = FALSE, perl = TRU
 #' @rdname simple_recode
 #' @method simple_recode default
 #' @export
-simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', 'character', 'logical'), ignore.case = FALSE, perl = TRUE, ...){
+simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', 'character', 'logical'), ignore.case = FALSE, fixed = FALSE, perl = TRUE, ...){
   requireNamespace('tidyr')
   as <- match.arg(as)
   if (missing(map)) stop ('A conversion map should be provided!')
@@ -71,7 +71,7 @@ simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', '
   x.recoded <- x
   for (i in 1:nrow(Map)){
     if (is.na(Map$from[i])) x.recoded <- tidyr::replace_na(x.recoded, Map$to[i])
-    else x.recoded <- gsub(Map$from[i], Map$to[i], x.recoded, ignore.case = ignore.case, perl=perl)
+    else x.recoded <- gsub(Map$from[i], Map$to[i], x.recoded, ignore.case = ignore.case, fixed = fixed, perl=perl)
   }
 
 
@@ -100,4 +100,3 @@ simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', '
 `do_to<-` <- function(x, value){
   match.fun(value)(x)
 }
-
diff --git a/man/contSummary.Rd b/man/contSummary.Rd
index 8ee8d03..0312f60 100644
--- a/man/contSummary.Rd
+++ b/man/contSummary.Rd
@@ -4,8 +4,12 @@
 \alias{contSummary}
 \title{Calculate summary statistics for continuous variable}
 \usage{
-contSummary(x, statistics = c("med.IQR", "med.90", "med.range",
-  "mean.sd"), digits = 1, n = TRUE)
+contSummary(
+  x,
+  statistics = c("med.IQR", "med.90", "med.range", "mean.sd"),
+  digits = 1,
+  n = TRUE
+)
 }
 \arguments{
 \item{x}{a numeric vector to be summarised.}
diff --git a/man/ht_theme_kable.Rd b/man/ht_theme_kable.Rd
index e5acfba..38d9569 100644
--- a/man/ht_theme_kable.Rd
+++ b/man/ht_theme_kable.Rd
@@ -4,9 +4,14 @@
 \alias{ht_theme_kable}
 \title{A kable-esque theme for huxtable object}
 \usage{
-ht_theme_kable(ht, header_rows = 1:2, header_cols = NULL,
-  border_width = 1, border_color = "#dddddd", bg = c("white",
-  "#f9f9f9"))
+ht_theme_kable(
+  ht,
+  header_rows = 1:2,
+  header_cols = NULL,
+  border_width = 1,
+  border_color = "#dddddd",
+  bg = c("white", "#f9f9f9")
+)
 }
 \arguments{
 \item{ht}{an object of class huxtable}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
index eb7feb5..a66434f 100644
--- a/man/ht_theme_markdown.Rd
+++ b/man/ht_theme_markdown.Rd
@@ -4,9 +4,14 @@
 \alias{ht_theme_markdown}
 \title{A stripe theme for huxtable object}
 \usage{
-ht_theme_markdown(ht, header_rows = 1:2, header_cols = NULL,
-  border_width = 0.8, border_color = grey(0.75), bg = c(grey(0.95),
-  "white"))
+ht_theme_markdown(
+  ht,
+  header_rows = 1:2,
+  header_cols = NULL,
+  border_width = 0.8,
+  border_color = grey(0.75),
+  bg = c(grey(0.95), "white")
+)
 }
 \arguments{
 \item{ht}{an object of class huxtable}
diff --git a/man/inspect.data.Rd b/man/inspect.data.Rd
index ec8e2fd..e4ec4ea 100644
--- a/man/inspect.data.Rd
+++ b/man/inspect.data.Rd
@@ -4,8 +4,15 @@
 \alias{inspect.data}
 \title{Check formatted data based on a pre-defined information}
 \usage{
-inspect.data(data, info, id, check_missing = c(TRUE, FALSE),
-  plot = FALSE, prefix = "", outdir)
+inspect.data(
+  data,
+  info,
+  id,
+  check_missing = c(TRUE, FALSE),
+  plot = FALSE,
+  prefix = "",
+  outdir
+)
 }
 \arguments{
 \item{data}{a formatted data frame to be checked.}
diff --git a/man/simple_recode.Rd b/man/simple_recode.Rd
index 3495903..923cea8 100644
--- a/man/simple_recode.Rd
+++ b/man/simple_recode.Rd
@@ -10,12 +10,17 @@
 \usage{
 simple_recode(...)
 
-\method{simple_recode}{data.frame}(.data, ..., ignore.case = FALSE,
-  perl = TRUE)
-
-\method{simple_recode}{default}(x, map, as = c("as_is", "numeric",
-  "factor", "character", "logical"), ignore.case = FALSE, perl = TRUE,
-  ...)
+\method{simple_recode}{data.frame}(.data, ..., ignore.case = FALSE, fixed = FALSE, perl = TRUE)
+
+\method{simple_recode}{default}(
+  x,
+  map,
+  as = c("as_is", "numeric", "factor", "character", "logical"),
+  ignore.case = FALSE,
+  fixed = FALSE,
+  perl = TRUE,
+  ...
+)
 }
 \arguments{
 \item{...}{For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
index eee08e3..4e155a3 100644
--- a/man/simple_relevel.Rd
+++ b/man/simple_relevel.Rd
@@ -13,20 +13,16 @@ simple_relevel(x, ...)
 \method{simple_relevel}{default}(x, by, map)
 }
 \arguments{
-\item{x}{A vector}
+\item{x}{a vector that will be relevelled}
 
 \item{...}{Unquoted variable names that will be relevelled}
 
 \item{data}{A data.frame}
 
-\item{by}{A vector or unquoted variable name the relevelling process will base on}
+\item{by}{a vector that the relevelling process will base on}
 
 \item{map}{a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
 or a data.frame with two columns "from" and "to" serving the same purpose.}
-
-\item{x}{a vector that will be relevelled}
-
-\item{by}{a vector that the relevelling process will base on}
 }
 \value{
 A vector or a data.frame
diff --git a/man/ss_format.Rd b/man/ss_format.Rd
index 309923b..0c9fac5 100644
--- a/man/ss_format.Rd
+++ b/man/ss_format.Rd
@@ -4,8 +4,14 @@
 \alias{ss_format}
 \title{Quick format a sstable in preparation for create flextable/huxtable}
 \usage{
-ss_format(sstable, header = c(), section = c(), body = c(),
-  template = c("baseline", "survcomp", "ae"), .guess = TRUE)
+ss_format(
+  sstable,
+  header = c(),
+  section = c(),
+  body = c(),
+  template = c("baseline", "survcomp", "ae"),
+  .guess = TRUE
+)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
index 34b32b1..5bd3fb8 100644
--- a/man/ss_huxtable.Rd
+++ b/man/ss_huxtable.Rd
@@ -4,11 +4,18 @@
 \alias{ss_huxtable}
 \title{Create summary table using huxtable package.}
 \usage{
-ss_huxtable(sstable, footer = NULL, caption = NULL,
-  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
-  "bottomleft", "bottomcenter", "bottomright"), bg = c(grey(0.95),
-  "white"), border_width = 0.8, border_color = grey(0.75),
-  wrap = FALSE, ...)
+ss_huxtable(
+  sstable,
+  footer = NULL,
+  caption = NULL,
+  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright", "bottomleft",
+    "bottomcenter", "bottomright"),
+  bg = c(grey(0.95), "white"),
+  border_width = 0.8,
+  border_color = grey(0.75),
+  wrap = FALSE,
+  ...
+)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 6c9727b..1f44070 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -4,12 +4,30 @@
 \alias{sstable.ae}
 \title{Create an adverse event summary table}
 \usage{
-sstable.ae(ae_data, fullid_data, group_data = NULL, id.var, aetype.var,
-  grade.var = NULL, group.var = NULL, arm.var, sort.by, digits = 0,
-  test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE,
-  correct = FALSE, simulate.p.value = FALSE, B = 2000,
-  workspace = 1e+06, hybrid = FALSE, footer = NULL,
-  flextable = TRUE, bg = "#F2EFEE")
+sstable.ae(
+  ae_data,
+  fullid_data,
+  group_data = NULL,
+  id.var,
+  aetype.var,
+  grade.var = NULL,
+  group.var = NULL,
+  arm.var,
+  sort.by,
+  digits = 0,
+  test = TRUE,
+  pdigits = 3,
+  pcutoff = 0.001,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE"
+)
 }
 \arguments{
 \item{ae_data}{a data frame contains adverse event data.}
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
index 0883621..1860d67 100644
--- a/man/sstable.baseline.Rd
+++ b/man/sstable.baseline.Rd
@@ -4,12 +4,29 @@
 \alias{sstable.baseline}
 \title{Create baseline table}
 \usage{
-sstable.baseline(formula, data, bycol = TRUE, pooledGroup = FALSE,
-  keepEmptyGroup = FALSE, statistics = "med.IQR", continuous = NA,
-  fullfreq = TRUE, digits = 1, test = FALSE, pdigits = 3,
-  pcutoff = 1e-04, chisq.test = FALSE, correct = FALSE,
-  simulate.p.value = FALSE, B = 2000, workspace = 1e+06,
-  hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE")
+sstable.baseline(
+  formula,
+  data,
+  bycol = TRUE,
+  pooledGroup = FALSE,
+  keepEmptyGroup = FALSE,
+  statistics = "med.IQR",
+  continuous = NA,
+  fullfreq = TRUE,
+  digits = 1,
+  test = FALSE,
+  pdigits = 3,
+  pcutoff = 1e-04,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = FALSE,
+  bg = "#F2EFEE"
+)
 }
 \arguments{
 \item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.}
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index ab086a5..2b37e47 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -4,9 +4,19 @@
 \alias{sstable.survcomp}
 \title{Summarize results for a Cox survival model with the treatment arm as the main covariate}
 \usage{
-sstable.survcomp(model, data, add.risk = TRUE,
-  add.prop.haz.test = TRUE, medsum = TRUE, digits = 2, pdigits = 3,
-  pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE")
+sstable.survcomp(
+  model,
+  data,
+  add.risk = TRUE,
+  add.prop.haz.test = TRUE,
+  medsum = TRUE,
+  digits = 2,
+  pdigits = 3,
+  pcutoff = 0.001,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE"
+)
 }
 \arguments{
 \item{model}{a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.}
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index 119cdde..c1e110e 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -4,9 +4,18 @@
 \alias{sstable.survcomp.subgroup}
 \title{Summarize results for a Cox survival model by treatment arm and subgroup}
 \usage{
-sstable.survcomp.subgroup(base.model, subgroup.model, data, digits = 2,
-  pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE,
-  bg = "#F2EFEE", ...)
+sstable.survcomp.subgroup(
+  base.model,
+  subgroup.model,
+  data,
+  digits = 2,
+  pdigits = 3,
+  pcutoff = 0.001,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE",
+  ...
+)
 }
 \arguments{
 \item{base.model}{a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).}

From 3e616d6a3cdde8fbc9c960d86fe55f19db6c5fc3 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 19 Nov 2019 14:23:00 +0700
Subject: [PATCH 019/193] Add maintainers.

---
 DESCRIPTION | 20 ++++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index ad061d3..ba239e8 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -3,7 +3,23 @@ Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
 Version: 0.1.3
 Author: Lam Phung Khanh
-Maintainer: Lam Phung Khanh <phungkhanhlam@gmail.com>
+Maintainer: R: 
+    c(
+        person(
+            given = "Khanh Lam",
+            family = "Phung",
+            role = c("author", "maintainer"),
+            email = "phungkhanhlam@gmail.com"),
+        person(
+            given = "Trinh",
+            family = "Dong"
+            role = "maintainer",
+            email = "trindhk@oucru.org"),
+        person(
+            given = 'Biostatistic Group',
+            role = "maintainer"
+        )
+     )
 Description: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
     Use four spaces when indenting paragraphs within the Description.
 License: The MIT License (MIT)
@@ -17,7 +33,7 @@ Imports: lubridate,
     officer,
     survival,
     tidyr
-RoxygenNote: 6.1.1
+RoxygenNote: 7.0.0
 Suggests: knitr,
     rmarkdown,
     huxtable

From e9f579d61835406625a730e58368580e1cc004d6 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 26 Nov 2019 18:23:19 +0700
Subject: [PATCH 020/193] Add logist_summary, now with lik.ratio p.value for
 interaction model. Add explicit function to generate full formula model.

---
 DESCRIPTION        |   6 +-
 NAMESPACE          |   8 ++
 R/logist_summary.R | 184 +++++++++++++++++++++++++++++++++++++++++++++
 man/explicit.Rd    |  17 +++++
 man/explicit.lm.Rd |  22 ++++++
 5 files changed, 234 insertions(+), 3 deletions(-)
 create mode 100644 R/logist_summary.R
 create mode 100644 man/explicit.Rd
 create mode 100644 man/explicit.lm.Rd

diff --git a/DESCRIPTION b/DESCRIPTION
index ba239e8..f174b84 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,9 +1,9 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.3
+Version: 0.1.4
 Author: Lam Phung Khanh
-Maintainer: R: 
+Maintainer@R: 
     c(
         person(
             given = "Khanh Lam",
@@ -11,7 +11,7 @@ Maintainer: R:
             role = c("author", "maintainer"),
             email = "phungkhanhlam@gmail.com"),
         person(
-            given = "Trinh",
+            given = "Huu Khanh Trinh",
             family = "Dong"
             role = "maintainer",
             email = "trindhk@oucru.org"),
diff --git a/NAMESPACE b/NAMESPACE
index 148ce99..d154309 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,20 +1,28 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method("ref_lv<-",factor)
+S3method(explicit,lm)
 S3method(print,ss_tbl)
+S3method(ref_lv,factor)
 S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
 S3method(simple_relevel,data.frame)
 S3method(simple_relevel,default)
+export("ref_lv<-")
 export(contSummary)
 export(convert.info)
 export(createProject)
+export(explicit)
 export(getlabel)
 export(ht_theme_kable)
 export(ht_theme_markdown)
 export(import.info)
 export(inspect.data)
 export(labAE)
+export(logist_summary)
 export(myformat.data)
+export(pct)
+export(ref_lv)
 export(simple_recode)
 export(simple_relevel)
 export(ss_body)
diff --git a/R/logist_summary.R b/R/logist_summary.R
new file mode 100644
index 0000000..8f9e92d
--- /dev/null
+++ b/R/logist_summary.R
@@ -0,0 +1,184 @@
+#' An alternative summary for a logistic model with OR, CI, and p-values
+#' @description a function to create summary table for glm logistic model
+#' @param fit a logistic regression model of class "glm"
+#' @param method
+#' a string whose value is either
+#' "likelihood.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+#' or "wald" for CI and tests based on Wald statistics
+#' @param stat_digits  Number of decimal digits for statistics
+#' @param p_digits Number of decimal digits for the p-values
+#' @author Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
+#' @return A data.frame of additional class "logist_summary"
+#' @export
+logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE){
+  compatible <- FALSE
+  if (length(fit$family)) {
+    if ((fit$family$family!="binomial")|(fit$family$link!="logit")) compatible <- TRUE
+  }
+  if (!compatible) stop("This function only works for logistic regression.")
+  method <- match.arg(method)
+
+  summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
+  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = FALSE)
+
+  return(structure(result_obj, class = c('logist_summary', 'data.frame')))
+}
+
+._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+  est <- coef(fit)
+  ci <- confint.default(fit)
+  result <- data.frame(log.OR = est, OR = exp(est),
+                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]), p.value = summary(fit)$coef[,"Pr(>|z|)"])
+  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
+  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
+  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
+  if (verbose) return(print(result))
+  return(result)
+}
+
+._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+  est <- coef(fit)
+  ci <- confint(fit)
+  result <- data.frame(log.OR = est, OR = exp(est),
+                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
+
+  has.intercept <- (names(coef(fit))[1]=="(Intercept)")
+  any.ia <- any(attr(terms(formula(fit)),"order")>1)
+  lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
+  if (any.ia){
+    lr.test <- data.frame(drop1(explicit(fit), test='Chisq'))[-1,c("Df","Pr..Chi.")]
+    rownames(lr.test) <-
+      gsub('\\s{1}\\*\\s{1}', ':',
+           gsub('(^I\\()|(\\)$)', '', rownames(lr.test), perl = TRUE),
+           perl = TRUE)
+  }
+
+  # browser()
+  if (has.intercept) {
+    p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
+    names(p.value) <- 'p.value'
+    row_order <- factor(rownames(result), levels = rownames(result))
+    result <- merge(result, p.value, all.x = TRUE, by='row.names')
+    result$Row.names <- factor(result$Row.names, levels = row_order)
+    result <- dplyr::arrange(result, Row.names)
+    rownames(result) <- result$Row.names
+    result <- result[, -1]
+  }
+
+  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
+  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
+  result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
+  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
+  if (verbose) return(print(result))
+  return(result)
+}
+
+#' Transform an object to its explicit form
+#' @description A function to transform an object to its explicit form if possible
+#' @param x An object
+#' @seealso \link{explicit.lm}
+#' @export
+explicit <- function(x){
+  UseMethod('explicit')
+}
+
+#' Transform a model to its explicit form
+#' @description
+#' A function to transform an lm model formula to its explicit form.
+#' This is useful when you want to use \link[stats]{drop1} to drop additional terms in interaction models.
+#' @param fit An object of class "lm"
+#' @examples
+#' iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
+#' explicit(iris.model)
+#' @return A model with explicit formula
+#' @export
+explicit.lm <- function(fit){
+  ia <- ._get_interaction_terms(fit)
+  ia.vars <- ia$ia.vars
+  ia.terms <- ia$ia.terms
+  fit.term_labels <- attr(terms(formula(fit)),"term.labels")
+  fit_data <- model.frame(fit)
+
+  nonia.vars <- unique(fit.term_labels[!fit.term_labels %in% unlist(c(ia.vars, ia.terms))])
+  nonia.classes <- attr(terms(fit), 'dataClasses')[unique(unlist(nonia.vars))]
+  nonia.vars2 <-
+    sapply(nonia.vars,
+           function(nonia.var){
+             if (!nonia.classes[nonia.var] %in% c('numeric', 'other')
+                 & length(levels(fit_data[[nonia.var]])) == 2)
+               return(paste0(nonia.var, levels(fit_data[[nonia.var]])[-1]))
+             return(nonia.var)
+           }, simplify = FALSE)
+  names(fit_data)[names(fit_data) %in% nonia.vars] <- nonia.vars2
+
+  # browser()
+  ia.classes <- attr(terms(fit), 'dataClasses')[unique(unlist(ia.vars))]
+  dummy_vars <- ._create_dummy(fit_data, names(ia.classes)[!ia.classes %in% c('numeric', 'other')])
+  dummy_cols <- purrr::flatten(dummy_vars)
+  dummy_cols.names <- sapply(dummy_vars, names, simplify = FALSE)
+  new_fit_data <- if (length(dummy_cols)) cbind(fit_data, dummy_cols) else fit_data
+
+  # browser()
+  ia.vars_dummy <-
+    sapply(ia.vars,
+           function(ia.var){
+             sapply(ia.var,
+                    function(iv){
+                      if (iv %in% names(dummy_cols.names))
+                        dummy_cols.names[[iv]]
+                      else
+                        iv
+                    }, simplify = FALSE)
+           }, simplify = FALSE)
+
+  ia.vars_dummy.interactTerms <-
+    sapply(ia.vars_dummy,
+           function(ia.var){
+             expand_matrix <- expand.grid(ia.var)
+             return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = '*'), ')'))
+           }, simplify = FALSE)
+
+  ia.vars_dummy.allTerms <-
+    sapply(names(ia.vars_dummy),
+           function(i) c(ia.vars_dummy[[i]], interaction = ia.vars_dummy.interactTerms[[i]]),
+           simplify = FALSE)
+
+  all_terms.fml <- as.formula(
+    sprintf('~ %s',
+            paste(
+              paste(nonia.vars2, collapse = '+'),
+              paste(unique(unlist(ia.vars_dummy.allTerms)), collapse = ' + '),
+              sep = '+'
+            )))
+
+  explicit_model <- update(fit, all_terms.fml, data = new_fit_data)
+  return(explicit_model)
+}
+
+._get_interaction_terms <- function(fit){
+  fml <- formula(fit)
+  ia.terms <- attr(terms(fml),"term.labels")[attr(terms(fml),"order")>1]
+  ia.factors <- attr(terms(fml),"factors")[,ia.terms, drop = FALSE]
+  ia.vars <- sapply(ia.terms,
+                    function(ia.term) rownames(ia.factors)[ia.factors[,ia.term] == 1],
+                    simplify = FALSE)
+  return(list(ia.terms = ia.terms, ia.vars = ia.vars))
+}
+
+._create_dummy <- function(data, cols){
+  sapply(
+    cols,
+    function(.col){
+      col_data <- as.factor(data[[.col]])
+      col_value <- levels(col_data)[-1]
+      new_cols <-
+        lapply(col_value,
+               function(val){
+                 as.numeric(col_data == val)
+               })
+      names(new_cols) <- paste0(.col, col_value)
+      return(new_cols)
+    }, simplify = FALSE
+  )
+}
+
diff --git a/man/explicit.Rd b/man/explicit.Rd
new file mode 100644
index 0000000..c48b4af
--- /dev/null
+++ b/man/explicit.Rd
@@ -0,0 +1,17 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logist_summary.R
+\name{explicit}
+\alias{explicit}
+\title{Transform an object to its explicit form}
+\usage{
+explicit(x)
+}
+\arguments{
+\item{x}{An object}
+}
+\description{
+A function to transform an object to its explicit form if possible
+}
+\seealso{
+\link{explicit.lm}
+}
diff --git a/man/explicit.lm.Rd b/man/explicit.lm.Rd
new file mode 100644
index 0000000..80539fb
--- /dev/null
+++ b/man/explicit.lm.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logist_summary.R
+\name{explicit.lm}
+\alias{explicit.lm}
+\title{Transform a model to its explicit form}
+\usage{
+\method{explicit}{lm}(fit)
+}
+\arguments{
+\item{fit}{An object of class "lm"}
+}
+\value{
+A model with explicit formula
+}
+\description{
+A function to transform an lm model formula to its explicit form.
+This is useful when you want to use \link[stats]{drop1} to drop additional terms in interaction models.
+}
+\examples{
+iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
+explicit(iris.model)
+}

From 4ec0648f02b2ddbc1ff71a0d8f49e0375dc8eed2 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 26 Nov 2019 18:24:09 +0700
Subject: [PATCH 021/193] Add pct for calculating percentages. Add ref_lv to
 quickly get and set reference level

---
 R/toolkits.R  | 92 +++++++++++++++++++++++++++++++++++++++++++++++++++
 man/pct.Rd    | 33 ++++++++++++++++++
 man/ref_lv.Rd | 28 ++++++++++++++++
 3 files changed, 153 insertions(+)
 create mode 100644 man/pct.Rd
 create mode 100644 man/ref_lv.Rd

diff --git a/R/toolkits.R b/R/toolkits.R
index 495981c..b6c256f 100644
--- a/R/toolkits.R
+++ b/R/toolkits.R
@@ -100,3 +100,95 @@ simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', '
 `do_to<-` <- function(x, value){
   match.fun(value)(x)
 }
+
+#' Get or set the reference level
+#' @description A function to quickly get or set the reference level of a factor
+#' @export
+ref_lv <- function(x){
+  UseMethod('ref_lv')
+}
+
+#' @rdname ref_lv
+#' @param x A factor
+#' @return A character object the represents the reference level
+#' @export
+ref_lv.factor <- function(x){
+  levels(x)[[1]]
+}
+
+#' @rdname ref_lv
+#' @export
+`ref_lv<-` <- function(x, value){
+  UseMethod('ref_lv<-')
+}
+
+#' @rdname ref_lv
+#' @param value An existing level to be set as reference
+#' @export
+`ref_lv<-.factor` <- function(x, value){
+  relevel(x, value)
+}
+
+#' Get the proportion for each level or range of a vector
+#' @description A function to calculate the proportion of each value range
+#' @param x An object
+#' @param method
+#' A method to calculate the percentage.
+#' Default is 'auto' which will attempt to choose the most fit method.
+#' 'bin' is only meaningful for vector that only has to values.
+#' 'fct' is meaningful for descrete variable
+#' 'cont' is used for continuous variables. This will break the variable into several ranges
+#' depended on the breaks specified in ...
+#' @param na.rm A logical value deciding whether NA should be removed
+#' @param ... Break points to cut the continuous variables into ranges. These are passed to function cut.
+#' See \link{cut}
+#' @return
+#' If method == 'bin': the percentage of non-reference level
+#'
+#' If method == 'fct': the percentages of all levels
+#'
+#' If method == 'cont': the percentages of all ranges based on specified breaks
+#' @export
+pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
+  method <- match.arg(method)
+  if (method == 'auto') method <- ._pct_get_method(unlist(x))
+
+  if (method == 'bin' & !is.logical(x)){
+    if (length(unique(x)) > 2) stop('Forcing binary method for factor variable is meaningless.')
+    if (length(unique(x)) == 1) return(100)
+    warning('Binary method apply to non logical variable. This will calculate the pct of x != ref_lv')
+    x <- x == levels(as.factor(x))[2]
+  }
+
+  res <- switch(method,
+                bin = ._pct_bin(x, na.rm),
+                cont = ._pct_cont(x, na.rm, ...),
+                fct = ._pct_fct(x, na.rm))
+
+  return(res)
+}
+
+._pct_get_method <- function(x){
+  if (is.logical(x) | length(unique(x)) <= 2) return('bin')
+  if (is.factor(x) | is.character(x) | (is.numeric(x) & length(unique(x)) <= 5)) return('fct')
+  return('cont')
+}
+
+._pct_bin <- function(x, na.rm = TRUE){
+  n <- if (na.rm) sum(!is.na(x)) else length(x)
+  return(sum(x)/n*100)
+}
+
+._pct_fct <- function(x, na.rm = TRUE){
+  n <- if (na.rm) sum(!is.na(x)) else length(x)
+  lvs <- if (na.rm) levels(x) else levels(addNA(x, ifany = TRUE))
+  sapply(lvs,
+         function(lv){
+           sum(x == lv)/n*100
+         })
+}
+
+._pct_cont <- function(x, na.rm = TRUE, ...){
+  x <- cut(x, ...)
+  pct(x, method = 'auto', na.rm = na.rm)
+}
diff --git a/man/pct.Rd b/man/pct.Rd
new file mode 100644
index 0000000..9de98b5
--- /dev/null
+++ b/man/pct.Rd
@@ -0,0 +1,33 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/toolkits.R
+\name{pct}
+\alias{pct}
+\title{Get the proportion for each level or range of a vector}
+\usage{
+pct(x, method = c("auto", "bin", "cont", "fct"), na.rm = TRUE, ...)
+}
+\arguments{
+\item{x}{An object}
+
+\item{method}{A method to calculate the percentage.
+Default is 'auto' which will attempt to choose the most fit method.
+'bin' is only meaningful for vector that only has to values.
+'fct' is meaningful for descrete variable
+'cont' is used for continuous variables. This will break the variable into several ranges
+depended on the breaks specified in ...}
+
+\item{na.rm}{A logical value deciding whether NA should be removed}
+
+\item{...}{Break points to cut the continuous variables into ranges. These are passed to function cut.
+See \link{cut}}
+}
+\value{
+If method == 'bin': the percentage of non-reference level
+
+If method == 'fct': the percentages of all levels
+
+If method == 'cont': the percentages of all ranges based on specified breaks
+}
+\description{
+A function to calculate the proportion of each value range
+}
diff --git a/man/ref_lv.Rd b/man/ref_lv.Rd
new file mode 100644
index 0000000..615f1c3
--- /dev/null
+++ b/man/ref_lv.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/toolkits.R
+\name{ref_lv}
+\alias{ref_lv}
+\alias{ref_lv.factor}
+\alias{ref_lv<-}
+\alias{ref_lv<-.factor}
+\title{Get or set the reference level}
+\usage{
+ref_lv(x)
+
+\method{ref_lv}{factor}(x)
+
+ref_lv(x) <- value
+
+\method{ref_lv}{factor}(x) <- value
+}
+\arguments{
+\item{x}{A factor}
+
+\item{value}{An existing level to be set as reference}
+}
+\value{
+A character object the represents the reference level
+}
+\description{
+A function to quickly get or set the reference level of a factor
+}

From d352085e0c562038ea856987c8d0bcca55297ef6 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 26 Nov 2019 18:24:28 +0700
Subject: [PATCH 022/193] Help for logist_summary

---
 man/logist_summary.Rd | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 man/logist_summary.Rd

diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
new file mode 100644
index 0000000..41fcc5f
--- /dev/null
+++ b/man/logist_summary.Rd
@@ -0,0 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logist_summary.R
+\name{logist_summary}
+\alias{logist_summary}
+\title{An alternative summary for a logistic model with OR, CI, and p-values}
+\usage{
+logist_summary(
+  fit,
+  method = c("lik.ratio", "wald"),
+  stat_digits = 2,
+  p_digits = 4,
+  verbose = FALSE
+)
+}
+\arguments{
+\item{fit}{a logistic regression model of class "glm"}
+
+\item{method}{a string whose value is either
+"likelihood.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+or "wald" for CI and tests based on Wald statistics}
+
+\item{stat_digits}{Number of decimal digits for statistics}
+
+\item{p_digits}{Number of decimal digits for the p-values}
+}
+\value{
+A data.frame of additional class "logist_summary"
+}
+\description{
+a function to create summary table for glm logistic model
+}
+\author{
+Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
+}

From 84f6ce0575a5892a4227dd300576c606b1adbe38 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Tue, 26 Nov 2019 20:29:40 +0700
Subject: [PATCH 023/193] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 84880e4..c27583c 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@ You can install C306 from github with:
 
 ``` r
 # install.packages("devtools")
-devtools::install_github("lampk/C306")
+devtools::install_github("oucru-biostats/C306")
 ```
 
 ## Website

From 91c357f80d82b5c7a92440c5ff62f78016dab21c Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Wed, 27 Nov 2019 13:24:21 +0700
Subject: [PATCH 024/193] Fix typos in logist_summary and simple_relevel

---
 R/logist_summary.R    | 2 +-
 R/simple_relevel.R    | 6 ++----
 man/simple_relevel.Rd | 6 ++----
 3 files changed, 5 insertions(+), 9 deletions(-)

diff --git a/R/logist_summary.R b/R/logist_summary.R
index 8f9e92d..a346b2e 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -19,7 +19,7 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   method <- match.arg(method)
 
   summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
-  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = FALSE)
+  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
 
   return(structure(result_obj, class = c('logist_summary', 'data.frame')))
 }
diff --git a/R/simple_relevel.R b/R/simple_relevel.R
index 9bac384..52f3a6b 100644
--- a/R/simple_relevel.R
+++ b/R/simple_relevel.R
@@ -1,8 +1,7 @@
 #' Relevel in correspondence to another factor
 #'
-#' @description Function to releve a variable based on a another variable of class "factor".
-#' @param x A vector
-#' @return A vector or a data.frame
+#' @description Function to relevel a variable in accordance to a another variable of class "factor".
+#' @return An object of the same class as the input
 #' @export
 simple_relevel <- function(x, ...){
   UseMethod('simple_relevel')
@@ -13,7 +12,6 @@ simple_relevel <- function(x, ...){
 #' @param data A data.frame
 #' @param by A vector or unquoted variable name the relevelling process will base on
 #' @param ... Unquoted variable names that will be relevelled
-#' @return A data.frame
 #' @export
 simple_relevel.data.frame <- function(data, ..., by){
   #... variables to relevel
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
index 4e155a3..17311ec 100644
--- a/man/simple_relevel.Rd
+++ b/man/simple_relevel.Rd
@@ -25,10 +25,8 @@ simple_relevel(x, ...)
 or a data.frame with two columns "from" and "to" serving the same purpose.}
 }
 \value{
-A vector or a data.frame
-
-A data.frame
+An object of the same class as the input
 }
 \description{
-Function to releve a variable based on a another variable of class "factor".
+Function to relevel a variable in accordance to a another variable of class "factor".
 }

From 6f9b4563cf72ae34e1dec4a3a36ea93d220b3925 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Wed, 27 Nov 2019 13:26:49 +0700
Subject: [PATCH 025/193] fix typo in logist_summary help file

---
 R/logist_summary.R    | 2 +-
 man/logist_summary.Rd | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/logist_summary.R b/R/logist_summary.R
index a346b2e..2941b0f 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -3,7 +3,7 @@
 #' @param fit a logistic regression model of class "glm"
 #' @param method
 #' a string whose value is either
-#' "likelihood.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+#' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
 #' or "wald" for CI and tests based on Wald statistics
 #' @param stat_digits  Number of decimal digits for statistics
 #' @param p_digits Number of decimal digits for the p-values
diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
index 41fcc5f..c454f62 100644
--- a/man/logist_summary.Rd
+++ b/man/logist_summary.Rd
@@ -16,7 +16,7 @@ logist_summary(
 \item{fit}{a logistic regression model of class "glm"}
 
 \item{method}{a string whose value is either
-"likelihood.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+"lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
 or "wald" for CI and tests based on Wald statistics}
 
 \item{stat_digits}{Number of decimal digits for statistics}

From d5dc78cfc4a53f75fb0b71f5db856c0d4a15d01f Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 29 Nov 2019 17:13:14 +0700
Subject: [PATCH 026/193] Fit bugs in explicit()

---
 R/logist_summary.R | 49 +++++++++++++++++++++++++---------------------
 1 file changed, 27 insertions(+), 22 deletions(-)

diff --git a/R/logist_summary.R b/R/logist_summary.R
index 2941b0f..3606a97 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -97,26 +97,18 @@ explicit.lm <- function(fit){
   ia.vars <- ia$ia.vars
   ia.terms <- ia$ia.terms
   fit.term_labels <- attr(terms(formula(fit)),"term.labels")
-  fit_data <- model.frame(fit)
+  # fit_data <- model.frame(fit)
+  fit_data <- as.data.frame(fit$data)
 
   nonia.vars <- unique(fit.term_labels[!fit.term_labels %in% unlist(c(ia.vars, ia.terms))])
-  nonia.classes <- attr(terms(fit), 'dataClasses')[unique(unlist(nonia.vars))]
-  nonia.vars2 <-
-    sapply(nonia.vars,
-           function(nonia.var){
-             if (!nonia.classes[nonia.var] %in% c('numeric', 'other')
-                 & length(levels(fit_data[[nonia.var]])) == 2)
-               return(paste0(nonia.var, levels(fit_data[[nonia.var]])[-1]))
-             return(nonia.var)
-           }, simplify = FALSE)
-  names(fit_data)[names(fit_data) %in% nonia.vars] <- nonia.vars2
 
   # browser()
-  ia.classes <- attr(terms(fit), 'dataClasses')[unique(unlist(ia.vars))]
-  dummy_vars <- ._create_dummy(fit_data, names(ia.classes)[!ia.classes %in% c('numeric', 'other')])
+  var.classes <- attr(terms(fit), 'dataClasses')
+  ia.classes <- var.classes[unique(unlist(ia.vars))]
+  dummy_vars <- ._create_dummy(fit_data, names(var.classes)[!var.classes %in% c('numeric', 'other')])
   dummy_cols <- purrr::flatten(dummy_vars)
   dummy_cols.names <- sapply(dummy_vars, names, simplify = FALSE)
-  new_fit_data <- if (length(dummy_cols)) cbind(fit_data, dummy_cols) else fit_data
+  explicit_data <- if (length(dummy_cols)) cbind(fit_data, dummy_cols) else fit_data
 
   # browser()
   ia.vars_dummy <-
@@ -131,6 +123,18 @@ explicit.lm <- function(fit){
                     }, simplify = FALSE)
            }, simplify = FALSE)
 
+  nonia.vars_dummy <-
+    sapply(nonia.vars,
+           function(nonia.var){
+             sapply(nonia.var,
+                    function(niv){
+                      if (niv %in% names(dummy_cols.names))
+                        dummy_cols.names[[niv]]
+                      else
+                        niv
+                    }, simplify = FALSE)
+           }, simplify = FALSE)
+
   ia.vars_dummy.interactTerms <-
     sapply(ia.vars_dummy,
            function(ia.var){
@@ -143,15 +147,16 @@ explicit.lm <- function(fit){
            function(i) c(ia.vars_dummy[[i]], interaction = ia.vars_dummy.interactTerms[[i]]),
            simplify = FALSE)
 
+  vars_dummy.allTerms <- c(nonia.vars_dummy, ia.vars_dummy.allTerms)
+
+  # browser()
   all_terms.fml <- as.formula(
-    sprintf('~ %s',
-            paste(
-              paste(nonia.vars2, collapse = '+'),
-              paste(unique(unlist(ia.vars_dummy.allTerms)), collapse = ' + '),
-              sep = '+'
-            )))
-
-  explicit_model <- update(fit, all_terms.fml, data = new_fit_data)
+    paste0('~',
+           paste(unique(unlist(vars_dummy.allTerms)), collapse = '+'))
+  )
+  # browser()
+
+  explicit_model <- update(fit, all_terms.fml, data = explicit_data)
   return(explicit_model)
 }
 

From 2fbd66bdc4c4861db8ad2db3f72f8078590e617b Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 29 Nov 2019 17:58:50 +0700
Subject: [PATCH 027/193] Fit bugs in logist_summary. Remove the name_matching
 feature. Use the explicit form directly.

---
 R/.depricated.R    | 36 +++++++++++++++++++++++++++++++++++
 R/logist_summary.R | 47 ++++++++++++++++++++++------------------------
 2 files changed, 58 insertions(+), 25 deletions(-)
 create mode 100644 R/.depricated.R

diff --git a/R/.depricated.R b/R/.depricated.R
new file mode 100644
index 0000000..dd3da52
--- /dev/null
+++ b/R/.depricated.R
@@ -0,0 +1,36 @@
+._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+  est <- coef(fit)
+  ci <- confint(fit)
+  result <- data.frame(log.OR = est, OR = exp(est),
+                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
+
+  has.intercept <- (names(coef(fit))[1]=="(Intercept)")
+  any.ia <- any(attr(terms(formula(fit)),"order")>1)
+  lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
+  if (any.ia){
+    lr.test <- data.frame(drop1(explicit(fit), test='Chisq'))[-1,c("Df","Pr..Chi.")]
+    rownames(lr.test) <-
+      gsub('\\s{1}\\*\\s{1}', ':',
+           gsub('(^I\\()|(\\)$)', '', rownames(lr.test), perl = TRUE),
+           perl = TRUE)
+  }
+
+  browser()
+  if (has.intercept) {
+    p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
+    names(p.value) <- 'p.value'
+    row_order <- factor(rownames(result), levels = rownames(result))
+    result <- merge(result, p.value, all.x = TRUE, by='row.names')
+    result$Row.names <- factor(result$Row.names, levels = row_order)
+    result <- dplyr::arrange(result, Row.names)
+    rownames(result) <- result$Row.names
+    result <- result[, -1]
+  }
+
+  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
+  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
+  result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
+  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
+  if (verbose) return(print(result))
+  return(result)
+}
diff --git a/R/logist_summary.R b/R/logist_summary.R
index 3606a97..57d9f38 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -13,63 +13,60 @@
 logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE){
   compatible <- FALSE
   if (length(fit$family)) {
-    if ((fit$family$family!="binomial")|(fit$family$link!="logit")) compatible <- TRUE
+    if ((fit$family$family=='binomial')|(fit$family$link=='logit')) compatible <- TRUE
   }
+  # browser()
   if (!compatible) stop("This function only works for logistic regression.")
   method <- match.arg(method)
 
   summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
   result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
 
-  return(structure(result_obj, class = c('logist_summary', 'data.frame')))
+  out <- structure(result_obj, class = c('logist_summary', 'data.frame'))
+  if (verbose) return(invisible(print(out)))
+  return(out)
 }
 
 ._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
   est <- coef(fit)
-  ci <- confint.default(fit)
+  ci <- suppressMessages(confint.default(fit))
   result <- data.frame(log.OR = est, OR = exp(est),
                        lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]), p.value = summary(fit)$coef[,"Pr(>|z|)"])
   for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
   if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
   if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
-  if (verbose) return(print(result))
+  if (verbose){
+    cat("\nNote: 95% confidence intervals and p-values are based on Wald statistics.\n\n",
+        "\n(Inference based on likelihood ratio statistics can be obtained with logist.summary(",deparse(substitute(obj)),") and is usually more accurate.\n)",sep="")
+  }
   return(result)
 }
 
 ._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+  any.ia <- any(attr(terms(formula(fit)),"order")>1)
+  if (any.ia){
+    message('Interaction terms detected. Using the explicit form.')
+    return(._lik.ratio_summary(explicit(fit), stat_digits = stat_digits, p_digits = p_digits, verbose = verbose))
+  }
+
   est <- coef(fit)
-  ci <- confint(fit)
+  ci <- suppressMessages(confint(fit))
   result <- data.frame(log.OR = est, OR = exp(est),
                        lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
 
   has.intercept <- (names(coef(fit))[1]=="(Intercept)")
-  any.ia <- any(attr(terms(formula(fit)),"order")>1)
   lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
-  if (any.ia){
-    lr.test <- data.frame(drop1(explicit(fit), test='Chisq'))[-1,c("Df","Pr..Chi.")]
-    rownames(lr.test) <-
-      gsub('\\s{1}\\*\\s{1}', ':',
-           gsub('(^I\\()|(\\)$)', '', rownames(lr.test), perl = TRUE),
-           perl = TRUE)
-  }
 
-  # browser()
-  if (has.intercept) {
-    p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
-    names(p.value) <- 'p.value'
-    row_order <- factor(rownames(result), levels = rownames(result))
-    result <- merge(result, p.value, all.x = TRUE, by='row.names')
-    result$Row.names <- factor(result$Row.names, levels = row_order)
-    result <- dplyr::arrange(result, Row.names)
-    rownames(result) <- result$Row.names
-    result <- result[, -1]
-  }
+  if (has.intercept) result$p.value <- c(NA,lr.test[,"Pr..Chi."])
 
   for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
   if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
   result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
   if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
-  if (verbose) return(print(result))
+  if (verbose) {
+    cat("\nNote: 95% confidence intervals and p-values are based on likelihood ratio statistics.\n\n")
+    if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
+  }
   return(result)
 }
 

From 5df7ea6514ce32200cede2716ec63785930d5234 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 2 Dec 2019 12:16:36 +0700
Subject: [PATCH 028/193] logist_summary: add sstable output. add support for
 summary_tbl in ss_flextable and ss_huxtable.

---
 NAMESPACE             |  4 ++
 R/logist_summary.R    | 98 ++++++++++++++++++++++++++++++++++++-------
 R/ssformat.R          | 43 +++++++++++++++++--
 man/logist_summary.Rd | 14 ++++++-
 man/ss_flextable.Rd   | 14 +++++--
 man/ss_huxtable.Rd    | 14 +++++--
 6 files changed, 163 insertions(+), 24 deletions(-)

diff --git a/NAMESPACE b/NAMESPACE
index d154309..d554439 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -8,6 +8,10 @@ S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
 S3method(simple_relevel,data.frame)
 S3method(simple_relevel,default)
+S3method(ss_flextable,default)
+S3method(ss_flextable,list)
+S3method(ss_huxtable,default)
+S3method(ss_huxtable,list)
 export("ref_lv<-")
 export(contSummary)
 export(convert.info)
diff --git a/R/logist_summary.R b/R/logist_summary.R
index 57d9f38..1d2d4ef 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -7,10 +7,16 @@
 #' or "wald" for CI and tests based on Wald statistics
 #' @param stat_digits  Number of decimal digits for statistics
 #' @param p_digits Number of decimal digits for the p-values
+#' @param verbose logical value specifying whether to print out result and notation. Default is FALSE
+#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
+#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
+#' Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}
 #' @author Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
+#' @seealso \link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
 #' @return A data.frame of additional class "logist_summary"
 #' @export
-logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE){
+logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE,
+                           sstable = FALSE, flextable = FALSE){
   compatible <- FALSE
   if (length(fit$family)) {
     if ((fit$family$family=='binomial')|(fit$family$link=='logit')) compatible <- TRUE
@@ -18,16 +24,34 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   # browser()
   if (!compatible) stop("This function only works for logistic regression.")
   method <- match.arg(method)
+  if (flextable) sstable <- TRUE
+  if (sstable) verbose <- FALSE
 
   summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
-  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
+  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose, sstable = sstable)
 
-  out <- structure(result_obj, class = c('logist_summary', 'data.frame'))
+
+  if (sstable) {
+    out <- result_obj
+    out$table <- as.matrix(out$table)
+    out$table <- rbind(colnames(out$table), out$table)
+    out$table <- cbind(rownames(out$table), out$table)
+    class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
+
+    if (flextable){
+      logist_summary.sstable <- ss_flextable(out$table, footer = out$footer)
+      return(logist_summary.sstable)
+    }
+
+    return(out)
+  }
+
+  out <- structure(result_obj, class = c('logist_summary','data.frame'))
   if (verbose) return(invisible(print(out)))
   return(out)
 }
 
-._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE, sstable = FALSE){
   est <- coef(fit)
   ci <- suppressMessages(confint.default(fit))
   result <- data.frame(log.OR = est, OR = exp(est),
@@ -39,25 +63,40 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
     cat("\nNote: 95% confidence intervals and p-values are based on Wald statistics.\n\n",
         "\n(Inference based on likelihood ratio statistics can be obtained with logist.summary(",deparse(substitute(obj)),") and is usually more accurate.\n)",sep="")
   }
+  if (sstable) return(list(table = result,
+                           footer = "Note: 95% confidence intervals and p-values are based on Wald statistics."))
   return(result)
 }
 
-._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
-  any.ia <- any(attr(terms(formula(fit)),"order")>1)
-  if (any.ia){
-    message('Interaction terms detected. Using the explicit form.')
-    return(._lik.ratio_summary(explicit(fit), stat_digits = stat_digits, p_digits = p_digits, verbose = verbose))
-  }
-
+._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE, sstable = FALSE){
   est <- coef(fit)
   ci <- suppressMessages(confint(fit))
   result <- data.frame(log.OR = est, OR = exp(est),
                        lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
 
   has.intercept <- (names(coef(fit))[1]=="(Intercept)")
-  lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
+  any.ia <- any(attr(terms(formula(fit)),"order")>1)
+  # browser()
 
-  if (has.intercept) result$p.value <- c(NA,lr.test[,"Pr..Chi."])
+  if (has.intercept)
+    if (any.ia){
+    explicit_form <- ._explicit_lm(fit, meta = TRUE)
+    explicit_model <- explicit_form$model
+    explicit_meta <- explicit_form$meta
+    lr.test <- data.frame(drop1(explicit_model, test='Chisq'))[-1,c("Df","Pr..Chi.")]
+    rownames(lr.test) <- recode(rownames(lr.test), !!!explicit_meta$names)
+    p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
+    names(p.value) <- 'p.value'
+    row_order <- factor(rownames(result), levels = rownames(result))
+    result <- merge(result, p.value, all.x = TRUE, by='row.names')
+    result$Row.names <- factor(result$Row.names, levels = row_order)
+    result <- dplyr::arrange(result, Row.names)
+    rownames(result) <- result$Row.names
+    result <- result[, -1]
+  } else {
+    lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
+    result$p.value <- c(NA,lr.test[,"Pr..Chi."])
+  }
 
   for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
   if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
@@ -67,6 +106,12 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
     cat("\nNote: 95% confidence intervals and p-values are based on likelihood ratio statistics.\n\n")
     if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
   }
+
+  if (sstable) return(list(table = result,
+                           footer = c(
+                             "Note: 95% confidence intervals and p-values are based on likelihood ratio statistics.",
+                             if (!has.intercept)
+                               "p-values of LR-tests not calculated because model has no intercept.")))
   return(result)
 }
 
@@ -90,6 +135,11 @@ explicit <- function(x){
 #' @return A model with explicit formula
 #' @export
 explicit.lm <- function(fit){
+  ._explicit_lm(fit, meta = FALSE)
+}
+
+
+._explicit_lm <- function(fit, meta = FALSE){
   ia <- ._get_interaction_terms(fit)
   ia.vars <- ia$ia.vars
   ia.terms <- ia$ia.terms
@@ -136,7 +186,7 @@ explicit.lm <- function(fit){
     sapply(ia.vars_dummy,
            function(ia.var){
              expand_matrix <- expand.grid(ia.var)
-             return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = '*'), ')'))
+             return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = ' * '), ')'))
            }, simplify = FALSE)
 
   ia.vars_dummy.allTerms <-
@@ -146,6 +196,25 @@ explicit.lm <- function(fit){
 
   vars_dummy.allTerms <- c(nonia.vars_dummy, ia.vars_dummy.allTerms)
 
+  if (meta){
+    # browser()
+    ia.vars_dummy.interactTerms.beautified <-
+      sapply(ia.vars_dummy,
+             function(ia.var){
+               expand_matrix <- expand.grid(ia.var)
+               return(paste(expand_matrix[,1], expand_matrix[,2], sep = ':'))
+             }, simplify = FALSE)
+
+    ia_vars.names <-
+      unlist(lapply(names(ia.vars_dummy),
+                    function(i) c(ia.vars_dummy[[i]], interaction = ia.vars_dummy.interactTerms.beautified[[i]])
+      ))
+
+    all_var.names <- unlist(c(nonia.vars_dummy, ia_vars.names))
+    names(all_var.names) <- unlist(vars_dummy.allTerms)
+  }
+
+
   # browser()
   all_terms.fml <- as.formula(
     paste0('~',
@@ -154,6 +223,7 @@ explicit.lm <- function(fit){
   # browser()
 
   explicit_model <- update(fit, all_terms.fml, data = explicit_data)
+  if (meta) return(list(model = explicit_model, meta = list(names = all_var.names)))
   return(explicit_model)
 }
 
diff --git a/R/ssformat.R b/R/ssformat.R
index 744d0cb..68f2009 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -110,6 +110,7 @@ ss_format <- function(sstable, header = c(), section = c(), body = c(), template
     b <- which(guess == 'body')
     # filling the undecided row with auto guess
     header <- unique(c(h[!h %in% no.guess], header))
+    # if (length(colnames(sstable))) header <- c('colnames', header)
     section <- unique(c(s[!s %in% no.guess], section))
     body <- unique(c(b[!b %in% no.guess], body))
   }
@@ -149,10 +150,17 @@ ss_guess_format.ae_tbl <- function(sstable){
 
 ss_guess_format.baseline_tbl <- function(sstable){
   guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
+  return(guess)
 }
 
 ss_guess_format.survcomp_tbl <- function(sstable){
   guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
+  return(guess)
+}
+
+ss_guess_format.summary_tbl <- function(sstable){
+  guess <- c('header', rep('body', nrow(sstable)-1))
+  return(guess)
 }
 
 #' Create summary table using flextable package.
@@ -165,7 +173,20 @@ ss_guess_format.survcomp_tbl <- function(sstable){
 #' @seealso \link[flextable]{flextable}
 #' @return an object of class flextable
 #' @export
-ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
+ss_flextable <- function(sstable, ...){
+  UseMethod('ss_flextable')
+}
+
+#' @rdname ss_flextable
+#' @param add_footer additional footer lines to be appended to object footers
+#' @export
+ss_flextable.list <- function(sstable, add_footer = NULL,...){
+  ss_flextable(sstable$table, footer = c(sstable$footer, add_footer), ...)
+}
+
+#' @rdname ss_flextable
+#' @export
+ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
   requireNamespace("flextable")
   requireNamespace("officer")
   sstable <- ss_format(sstable, ..., .guess = TRUE)
@@ -215,7 +236,10 @@ ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 
   ## header format
   ft <- flextable::set_header_labels(ft, values = ss.header2[[1]])
-  ft <- flextable::add_header_row(ft, values = ss.header2[[2]], top = F)
+  if (length(ss.header2) > 1)
+    for (i in seq_along(ss.header2)[-1])
+      ft <- flextable::add_header_row(ft, values = ss.header2[[i]], top = F)
+
   ft <- flextable::merge_h(ft, part = "header")
   ft <- flextable::merge_v(ft, part = "header")
 
@@ -274,7 +298,20 @@ ss_flextable <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 #' @return an object of class huxtable
 #' @seealso \link[huxtable]{huxtable}
 #' @export
-ss_huxtable <- function(sstable, footer = NULL,
+ss_huxtable <- function(sstable,...){
+  UseMethod('ss_huxtable')
+}
+
+#' @rdname ss_huxtable
+#' @param add_footer additional footer lines to be appended to object footers
+#' @export
+ss_huxtable.list <- function(sstable, add_footer = NULL,...){
+  ss_huxtable(sstable$table, footer = c(sstable$footer, add_footer), ...)
+}
+
+#' @rdname ss_huxtable
+#' @export
+ss_huxtable.default <- function(sstable, footer = NULL,
                         caption = NULL, caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
                                                         "bottomleft", "bottomcenter", "bottomright"),
                         bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75), wrap = FALSE,...){
diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
index c454f62..b1144ee 100644
--- a/man/logist_summary.Rd
+++ b/man/logist_summary.Rd
@@ -9,7 +9,9 @@ logist_summary(
   method = c("lik.ratio", "wald"),
   stat_digits = 2,
   p_digits = 4,
-  verbose = FALSE
+  verbose = FALSE,
+  sstable = FALSE,
+  flextable = FALSE
 )
 }
 \arguments{
@@ -22,6 +24,13 @@ or "wald" for CI and tests based on Wald statistics}
 \item{stat_digits}{Number of decimal digits for statistics}
 
 \item{p_digits}{Number of decimal digits for the p-values}
+
+\item{verbose}{logical value specifying whether to print out result and notation. Default is FALSE}
+
+\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE}
+
+\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
+Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}}
 }
 \value{
 A data.frame of additional class "logist_summary"
@@ -29,6 +38,9 @@ A data.frame of additional class "logist_summary"
 \description{
 a function to create summary table for glm logistic model
 }
+\seealso{
+\link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
+}
 \author{
 Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
 }
diff --git a/man/ss_flextable.Rd b/man/ss_flextable.Rd
index 79c9b1f..3e08984 100644
--- a/man/ss_flextable.Rd
+++ b/man/ss_flextable.Rd
@@ -2,18 +2,26 @@
 % Please edit documentation in R/ssformat.R
 \name{ss_flextable}
 \alias{ss_flextable}
+\alias{ss_flextable.list}
+\alias{ss_flextable.default}
 \title{Create summary table using flextable package.}
 \usage{
-ss_flextable(sstable, footer = NULL, bg = "#F2EFEE", ...)
+ss_flextable(sstable, ...)
+
+\method{ss_flextable}{list}(sstable, add_footer = NULL, ...)
+
+\method{ss_flextable}{default}(sstable, footer = NULL, bg = "#F2EFEE", ...)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
 
+\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
+
+\item{add_footer}{additional footer lines to be appended to object footers}
+
 \item{footer}{a character vector each of which is the footnote of the flextable}
 
 \item{bg}{a character string that defines stripped background color of the flextable}
-
-\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
 }
 \value{
 an object of class flextable
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
index 5bd3fb8..6af4387 100644
--- a/man/ss_huxtable.Rd
+++ b/man/ss_huxtable.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/ssformat.R
 \name{ss_huxtable}
 \alias{ss_huxtable}
+\alias{ss_huxtable.list}
+\alias{ss_huxtable.default}
 \title{Create summary table using huxtable package.}
 \usage{
-ss_huxtable(
+ss_huxtable(sstable, ...)
+
+\method{ss_huxtable}{list}(sstable, add_footer = NULL, ...)
+
+\method{ss_huxtable}{default}(
   sstable,
   footer = NULL,
   caption = NULL,
@@ -20,6 +26,10 @@ ss_huxtable(
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
 
+\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
+
+\item{add_footer}{additional footer lines to be appended to object footers}
+
 \item{footer}{a character vector each of which is the footnote of the flextable}
 
 \item{caption}{a string containing table caption. Default is NULL}
@@ -39,8 +49,6 @@ See also \link[huxtable]{caption_pos}}
 \item{wrap}{a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
 This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
 See also \link[huxtable]{wrap}}
-
-\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
 }
 \value{
 an object of class huxtable

From 130eab30b21daffb56c19904e4e1c03b25633136 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 2 Dec 2019 12:17:00 +0700
Subject: [PATCH 029/193] Depricated function

---
 R/.depricated.R | 36 +++++++++++++++---------------------
 1 file changed, 15 insertions(+), 21 deletions(-)

diff --git a/R/.depricated.R b/R/.depricated.R
index dd3da52..9716bec 100644
--- a/R/.depricated.R
+++ b/R/.depricated.R
@@ -1,36 +1,30 @@
+
+
+
 ._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+  any.ia <- any(attr(terms(formula(fit)),"order")>1)
+  if (any.ia){
+    message('Interaction terms detected. Using the explicit form.')
+    return(._lik.ratio_summary(explicit(fit), stat_digits = stat_digits, p_digits = p_digits, verbose = verbose))
+  }
+
   est <- coef(fit)
-  ci <- confint(fit)
+  ci <- suppressMessages(confint(fit))
   result <- data.frame(log.OR = est, OR = exp(est),
                        lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
 
   has.intercept <- (names(coef(fit))[1]=="(Intercept)")
-  any.ia <- any(attr(terms(formula(fit)),"order")>1)
   lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
-  if (any.ia){
-    lr.test <- data.frame(drop1(explicit(fit), test='Chisq'))[-1,c("Df","Pr..Chi.")]
-    rownames(lr.test) <-
-      gsub('\\s{1}\\*\\s{1}', ':',
-           gsub('(^I\\()|(\\)$)', '', rownames(lr.test), perl = TRUE),
-           perl = TRUE)
-  }
 
-  browser()
-  if (has.intercept) {
-    p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
-    names(p.value) <- 'p.value'
-    row_order <- factor(rownames(result), levels = rownames(result))
-    result <- merge(result, p.value, all.x = TRUE, by='row.names')
-    result$Row.names <- factor(result$Row.names, levels = row_order)
-    result <- dplyr::arrange(result, Row.names)
-    rownames(result) <- result$Row.names
-    result <- result[, -1]
-  }
+  if (has.intercept) result$p.value <- c(NA,lr.test[,"Pr..Chi."])
 
   for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
   if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
   result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
   if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
-  if (verbose) return(print(result))
+  if (verbose) {
+    cat("\nNote: 95% confidence intervals and p-values are based on likelihood ratio statistics.\n\n")
+    if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
+  }
   return(result)
 }

From 0863f692fd4c6f8e0f0bfadab60fd7bf6812ab44 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 2 Dec 2019 13:39:04 +0700
Subject: [PATCH 030/193] Add as_sstable

---
 NAMESPACE             |  4 +++
 R/logist_summary.R    | 45 ++++++++++-------------------
 R/ssformat.R          | 67 +++++++++++++++++++++++++++++++++++++++++++
 man/as_sstable.Rd     | 32 +++++++++++++++++++++
 man/logist_summary.Rd |  7 +++--
 5 files changed, 123 insertions(+), 32 deletions(-)
 create mode 100644 man/as_sstable.Rd

diff --git a/NAMESPACE b/NAMESPACE
index d554439..a46b0a0 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,6 +1,9 @@
 # Generated by roxygen2: do not edit by hand
 
 S3method("ref_lv<-",factor)
+S3method(as_sstable,default)
+S3method(as_sstable,list)
+S3method(as_sstable,logist_summary)
 S3method(explicit,lm)
 S3method(print,ss_tbl)
 S3method(ref_lv,factor)
@@ -13,6 +16,7 @@ S3method(ss_flextable,list)
 S3method(ss_huxtable,default)
 S3method(ss_huxtable,list)
 export("ref_lv<-")
+export(as_sstable)
 export(contSummary)
 export(convert.info)
 export(createProject)
diff --git a/R/logist_summary.R b/R/logist_summary.R
index 1d2d4ef..d43fcd4 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -11,12 +11,13 @@
 #' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
 #' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
 #' Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}
+#' @param ... additional params passed to \link{ss_flextable}
 #' @author Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
 #' @seealso \link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
-#' @return A data.frame of additional class "logist_summary"
+#' @return A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
 #' @export
 logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE,
-                           sstable = FALSE, flextable = FALSE){
+                           sstable = FALSE, flextable = FALSE, ...){
   compatible <- FALSE
   if (length(fit$family)) {
     if ((fit$family$family=='binomial')|(fit$family$link=='logit')) compatible <- TRUE
@@ -28,30 +29,15 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   if (sstable) verbose <- FALSE
 
   summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
-  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose, sstable = sstable)
+  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
 
-
-  if (sstable) {
-    out <- result_obj
-    out$table <- as.matrix(out$table)
-    out$table <- rbind(colnames(out$table), out$table)
-    out$table <- cbind(rownames(out$table), out$table)
-    class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
-
-    if (flextable){
-      logist_summary.sstable <- ss_flextable(out$table, footer = out$footer)
-      return(logist_summary.sstable)
-    }
-
-    return(out)
-  }
-
-  out <- structure(result_obj, class = c('logist_summary','data.frame'))
+  out <- structure(result_obj$table, footer = result_obj$footer, class = c('logist_summary','data.frame'))
+  if (sstable) return(as_sstable.logist_summary(out))
   if (verbose) return(invisible(print(out)))
   return(out)
 }
 
-._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE, sstable = FALSE){
+._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
   est <- coef(fit)
   ci <- suppressMessages(confint.default(fit))
   result <- data.frame(log.OR = est, OR = exp(est),
@@ -63,9 +49,8 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
     cat("\nNote: 95% confidence intervals and p-values are based on Wald statistics.\n\n",
         "\n(Inference based on likelihood ratio statistics can be obtained with logist.summary(",deparse(substitute(obj)),") and is usually more accurate.\n)",sep="")
   }
-  if (sstable) return(list(table = result,
-                           footer = "Note: 95% confidence intervals and p-values are based on Wald statistics."))
-  return(result)
+  return(list(table = result,
+              footer = "Note: 95% confidence intervals and p-values are based on Wald statistics."))
 }
 
 ._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE, sstable = FALSE){
@@ -107,12 +92,12 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
     if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
   }
 
-  if (sstable) return(list(table = result,
-                           footer = c(
-                             "Note: 95% confidence intervals and p-values are based on likelihood ratio statistics.",
-                             if (!has.intercept)
-                               "p-values of LR-tests not calculated because model has no intercept.")))
-  return(result)
+  return(list(table = result,
+              footer = c(
+                "Note: 95% confidence intervals and p-values are based on likelihood ratio statistics.",
+                if (!has.intercept)
+                  "p-values of LR-tests not calculated because model has no intercept.")))
+  # return(result)
 }
 
 #' Transform an object to its explicit form
diff --git a/R/ssformat.R b/R/ssformat.R
index 68f2009..aaf4753 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -512,3 +512,70 @@ ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
   } else huxtable::background_color(ht) <- bg
   ht
 }
+
+#' Coerce an object to sstable
+#' @description A function to coerce objects to a sstable
+#' @param x An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")
+#' @param flextable logical value specifying whether to return a flextable. Default is FALSE
+#' @param ... additional param passed to \link{ss_flextable}
+#' @return A matrix of class ss_tbl if flextable == FALSE or a flextable
+#' @export
+#'
+as_sstable <- function(x,...){
+  UseMethod('as_sstable')
+}
+
+#' @rdname as_sstable
+#' @export
+as_sstable.default <- function(x, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x$table)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  if (length(attr(x, 'footer'))) out$footer <- attr(x, 'footer')
+
+  class(out) <- c('ss_tbl', 'matrix')
+  if (flextable) ss_flextable(out, ...)
+  return(out)
+}
+
+#' @rdname as_sstable
+#' @export
+as_sstable.list <- function(x, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x$table)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  out$footer <- x$footer
+  class(out$table) <- c('ss_tbl', 'matrix')
+
+  if (flextable){
+    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
+    return(logist_summary.sstable)
+  }
+
+  out
+}
+
+#' @rdname as_sstable
+#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
+#' @export
+as_sstable.logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  out$footer <- attr(x, 'footer')
+  class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
+
+  if (flextable){
+    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
+    return(logist_summary.sstable)
+  }
+
+  if (include_footnote) return(out)
+  out$table
+}
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
new file mode 100644
index 0000000..90b93ba
--- /dev/null
+++ b/man/as_sstable.Rd
@@ -0,0 +1,32 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{as_sstable}
+\alias{as_sstable}
+\alias{as_sstable.default}
+\alias{as_sstable.list}
+\alias{as_sstable.logist_summary}
+\title{Coerce an object to sstable}
+\usage{
+as_sstable(x, ...)
+
+\method{as_sstable}{default}(x, flextable = FALSE, ...)
+
+\method{as_sstable}{list}(x, flextable = FALSE, ...)
+
+\method{as_sstable}{logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
+}
+\arguments{
+\item{x}{An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")}
+
+\item{...}{additional param passed to \link{ss_flextable}}
+
+\item{flextable}{logical value specifying whether to return a flextable. Default is FALSE}
+
+\item{include_footnote}{logical value specifying whether to include footnote in the output. Default is FALSE}
+}
+\value{
+A matrix of class ss_tbl if flextable == FALSE or a flextable
+}
+\description{
+A function to coerce objects to a sstable
+}
diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
index b1144ee..be42e09 100644
--- a/man/logist_summary.Rd
+++ b/man/logist_summary.Rd
@@ -11,7 +11,8 @@ logist_summary(
   p_digits = 4,
   verbose = FALSE,
   sstable = FALSE,
-  flextable = FALSE
+  flextable = FALSE,
+  ...
 )
 }
 \arguments{
@@ -31,9 +32,11 @@ or "wald" for CI and tests based on Wald statistics}
 
 \item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
 Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}}
+
+\item{...}{additional params passed to \link{ss_flextable}}
 }
 \value{
-A data.frame of additional class "logist_summary"
+A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
 }
 \description{
 a function to create summary table for glm logistic model

From d492b971e8e6ac0b4fbd4551708bda1cd147c2ed Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 3 Dec 2019 12:30:59 +0700
Subject: [PATCH 031/193] Add overlap_join. Up to version 0.1.5

---
 DESCRIPTION         |  7 +++--
 NAMESPACE           |  1 +
 R/logist_summary.R  |  5 +--
 R/overlap_join.R    | 76 +++++++++++++++++++++++++++++++++++++++++++++
 man/explicit.lm.Rd  |  5 ++-
 man/overlap_join.Rd | 71 ++++++++++++++++++++++++++++++++++++++++++
 6 files changed, 159 insertions(+), 6 deletions(-)
 create mode 100644 R/overlap_join.R
 create mode 100644 man/overlap_join.Rd

diff --git a/DESCRIPTION b/DESCRIPTION
index f174b84..7cfeabf 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.4
+Version: 0.1.5-201912
 Author: Lam Phung Khanh
 Maintainer@R: 
     c(
@@ -32,8 +32,9 @@ Imports: lubridate,
     flextable,
     officer,
     survival,
-    tidyr
-RoxygenNote: 7.0.0
+    tidyr,
+    data.table
+RoxygenNote: 7.0.2
 Suggests: knitr,
     rmarkdown,
     huxtable
diff --git a/NAMESPACE b/NAMESPACE
index a46b0a0..d73ec4e 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -29,6 +29,7 @@ export(inspect.data)
 export(labAE)
 export(logist_summary)
 export(myformat.data)
+export(overlap_join)
 export(pct)
 export(ref_lv)
 export(simple_recode)
diff --git a/R/logist_summary.R b/R/logist_summary.R
index d43fcd4..663d11a 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -31,7 +31,7 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
   result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
 
-  out <- structure(result_obj$table, footer = result_obj$footer, class = c('logist_summary','data.frame'))
+  out <- structure(result_obj$table, footer = result_obj$footer, method = method, class = c('logist_summary','data.frame'))
   if (sstable) return(as_sstable.logist_summary(out))
   if (verbose) return(invisible(print(out)))
   return(out)
@@ -112,12 +112,13 @@ explicit <- function(x){
 #' Transform a model to its explicit form
 #' @description
 #' A function to transform an lm model formula to its explicit form.
-#' This is useful when you want to use \link[stats]{drop1} to drop additional terms in interaction models.
+#' This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
 #' @param fit An object of class "lm"
 #' @examples
 #' iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
 #' explicit(iris.model)
 #' @return A model with explicit formula
+#' @seealso \link[stats]{add1}
 #' @export
 explicit.lm <- function(fit){
   ._explicit_lm(fit, meta = FALSE)
diff --git a/R/overlap_join.R b/R/overlap_join.R
new file mode 100644
index 0000000..18200e2
--- /dev/null
+++ b/R/overlap_join.R
@@ -0,0 +1,76 @@
+#' Overlap join of 2 data frames.
+#' @description This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar
+#' @param x,y data.frames
+#' @param by,by.x,by.y
+#' a character vector of variables to join by.
+#' If NULL, the default,  will do a natural join, using all variables with common names across the two tables.
+#' A message lists the variables so that you can check they're right
+#' (to suppress the message, simply explicitly list the variables that you want to join)
+#' @param type character-typed value, either 'left' (default), right, or 'inner',
+#' representing left_join, right_join, and inner_join
+#' @param overlap character-typed value, passed to \link[data.table]{foverlaps}' type
+#'
+#' Allowed values are 'any' (default), 'within', 'start', 'end' and 'equal'.
+#'
+#' The types shown here are identical in functionality
+#' to the function findOverlaps in the bioconductor package IRanges.
+#'
+#' Let [a,b] and [c,d] be intervals in x and y with a<=b and c<=d.
+#' For type="start", the intervals overlap iff a == c.
+#' For type="end", the intervals overlap iff b == d.
+#' For type="within", the intervals overlap iff a>=c and b<=d.
+#' For type="equal", the intervals overlap iff a==c and b==d.
+#' For type="any", as long as c<=b and d>=a, they overlap.
+#' In addition to these requirements, they also have to satisfy the min_overlap argument.
+#'
+#' @param multiple_match a character-typed value, passed to \link[data.table]{foverlaps}' mult
+#'
+#' When multiple rows in y match to the row in x,
+#' multiple_match controls which values are returned - "all" (default), "first" or "last".
+#'
+#' @param max_gap a character-typed value, passed to \link[data.table]{foverlaps}' maxgap.
+#' It should be a non-negative integer value, >= 0. Default is 0 (no gap). For intervals [a,b] and [c,d],
+#' where a<=b and c<=d, when c > b or d < a, the two intervals don't overlap.
+#' If the gap between these two intervals is <= maxgap, these two intervals are considered as overlapping.
+#'
+#' @param min_overlap a character-typed value, passed to \link[data.table]{foverlaps}' minoverlap
+#'
+#' It should be a positive integer value, > 0. Default is 1. For intervals [a,b] and [c,d],
+#' where a<=b and c<=d, when c<=b and d>=a, the two intervals overlap.
+#' If the length of overlap between these two intervals is >= minoverlap,
+#' then these two intervals are considered to be overlapping.
+#'
+#' @return a tibble with relevant columns from x, y
+#' @seealso \link[data.table]{foverlaps}
+#' @export
+overlap_join <- function(x, y, by = NULL, by.x = by, by.y = by,
+                         type = c('left', 'right', 'inner'),
+                         overlap = c('any', 'within', 'start', 'end', 'equal'),
+                         multiple_match = c('all', 'first', 'last'),
+                         max_gap = 0L, min_overlap = 1L)
+{
+  type <- match.arg(type)
+  overlap <- match.arg(overlap)
+  mutl <- match.arg(multiple_match)
+  arg.x <- switch(type, y, right = x)
+  arg.y <- switch(type, x, right = y)
+  arg.by.x <- switch(type, by.y, right = by.x)
+  arg.by.y <- switch(type, by.x, right = by.y)
+  nomatch <- switch(type, inner = NULL, NA)
+  if (!length(by)) {
+    if (!length(by.x) & !length(by.y)){
+      by.x <- by.y <- by <- intersect(names(x), names(y))
+      message('Joining by =', by)
+    }
+  }
+
+  data.table::setDT(arg.x)
+  data.table::setDT(arg.y)
+  data.table::setkeyv(arg.x, arg.by.x)
+  data.table::setkeyv(arg.y, arg.by.y)
+
+  merged_dt <- data.table::foverlaps(x = arg.x, y = arg.y, by.x = arg.by.x, by.y = arg.by.y,
+                                     maxgap = max_gap, minoverlap = min_overlap, nomatch = nomatch,
+                                     which = FALSE, verbose = FALSE)
+  dplyr::as_tibble(merged_dt)
+}
diff --git a/man/explicit.lm.Rd b/man/explicit.lm.Rd
index 80539fb..e5e2f69 100644
--- a/man/explicit.lm.Rd
+++ b/man/explicit.lm.Rd
@@ -14,9 +14,12 @@ A model with explicit formula
 }
 \description{
 A function to transform an lm model formula to its explicit form.
-This is useful when you want to use \link[stats]{drop1} to drop additional terms in interaction models.
+This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
 }
 \examples{
 iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
 explicit(iris.model)
 }
+\seealso{
+\link[stats]{add1}
+}
diff --git a/man/overlap_join.Rd b/man/overlap_join.Rd
new file mode 100644
index 0000000..1015ab3
--- /dev/null
+++ b/man/overlap_join.Rd
@@ -0,0 +1,71 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/overlap_join.R
+\name{overlap_join}
+\alias{overlap_join}
+\title{Overlap join of 2 data frames.}
+\usage{
+overlap_join(
+  x,
+  y,
+  by = NULL,
+  by.x = by,
+  by.y = by,
+  type = c("left", "right", "inner"),
+  overlap = c("any", "within", "start", "end", "equal"),
+  multiple_match = c("all", "first", "last"),
+  max_gap = 0L,
+  min_overlap = 1L
+)
+}
+\arguments{
+\item{x, y}{data.frames}
+
+\item{by, by.x, by.y}{a character vector of variables to join by.
+If NULL, the default,  will do a natural join, using all variables with common names across the two tables.
+A message lists the variables so that you can check they're right
+(to suppress the message, simply explicitly list the variables that you want to join)}
+
+\item{type}{character-typed value, either 'left' (default), right, or 'inner',
+representing left_join, right_join, and inner_join}
+
+\item{overlap}{character-typed value, passed to \link[data.table]{foverlaps}' type
+
+Allowed values are 'any' (default), 'within', 'start', 'end' and 'equal'.
+
+The types shown here are identical in functionality
+to the function findOverlaps in the bioconductor package IRanges.
+
+Let [a,b] and [c,d] be intervals in x and y with a<=b and c<=d.
+For type="start", the intervals overlap iff a == c.
+For type="end", the intervals overlap iff b == d.
+For type="within", the intervals overlap iff a>=c and b<=d.
+For type="equal", the intervals overlap iff a==c and b==d.
+For type="any", as long as c<=b and d>=a, they overlap.
+In addition to these requirements, they also have to satisfy the min_overlap argument.}
+
+\item{multiple_match}{a character-typed value, passed to \link[data.table]{foverlaps}' mult
+
+When multiple rows in y match to the row in x,
+multiple_match controls which values are returned - "all" (default), "first" or "last".}
+
+\item{max_gap}{a character-typed value, passed to \link[data.table]{foverlaps}' maxgap.
+It should be a non-negative integer value, >= 0. Default is 0 (no gap). For intervals [a,b] and [c,d],
+where a<=b and c<=d, when c > b or d < a, the two intervals don't overlap.
+If the gap between these two intervals is <= maxgap, these two intervals are considered as overlapping.}
+
+\item{min_overlap}{a character-typed value, passed to \link[data.table]{foverlaps}' minoverlap
+
+It should be a positive integer value, > 0. Default is 1. For intervals [a,b] and [c,d],
+where a<=b and c<=d, when c<=b and d>=a, the two intervals overlap.
+If the length of overlap between these two intervals is >= minoverlap,
+then these two intervals are considered to be overlapping.}
+}
+\value{
+a tibble with relevant columns from x, y
+}
+\description{
+This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar
+}
+\seealso{
+\link[data.table]{foverlaps}
+}

From d25a6e1d8b7971cdcb80cec10a9a59ab31e3b8a6 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 3 Dec 2019 17:32:09 +0700
Subject: [PATCH 032/193] Add overlap_summary.

---
 NAMESPACE              |   2 +
 R/overlap_join.R       | 115 +++++++++++++++++++++++++++++++++++++----
 R/ssformat.R           |  21 ++++++++
 man/as_sstable.Rd      |   3 ++
 man/overlap_join.Rd    |  11 ++--
 man/overlap_summary.Rd |  47 +++++++++++++++++
 6 files changed, 186 insertions(+), 13 deletions(-)
 create mode 100644 man/overlap_summary.Rd

diff --git a/NAMESPACE b/NAMESPACE
index d73ec4e..ee5e388 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -4,6 +4,7 @@ S3method("ref_lv<-",factor)
 S3method(as_sstable,default)
 S3method(as_sstable,list)
 S3method(as_sstable,logist_summary)
+S3method(as_sstable,overlap_summary)
 S3method(explicit,lm)
 S3method(print,ss_tbl)
 S3method(ref_lv,factor)
@@ -30,6 +31,7 @@ export(labAE)
 export(logist_summary)
 export(myformat.data)
 export(overlap_join)
+export(overlap_summary)
 export(pct)
 export(ref_lv)
 export(simple_recode)
diff --git a/R/overlap_join.R b/R/overlap_join.R
index 18200e2..c1457be 100644
--- a/R/overlap_join.R
+++ b/R/overlap_join.R
@@ -1,11 +1,15 @@
-#' Overlap join of 2 data frames.
-#' @description This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar
+#' Overlap join of 2 data frames
+#' @description This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar.
 #' @param x,y data.frames
 #' @param by,by.x,by.y
-#' a character vector of variables to join by.
+#' a character vector of variables to join by, passed to \link[data.table]{foverlaps}' by.x ad by.y.
+#'
 #' If NULL, the default,  will do a natural join, using all variables with common names across the two tables.
 #' A message lists the variables so that you can check they're right
-#' (to suppress the message, simply explicitly list the variables that you want to join)
+#' (to suppress the message, simply explicitly list the variables that you want to join).
+#'
+#' Otherwise, the last two columns must be the start and end time of the event specified.
+#'
 #' @param type character-typed value, either 'left' (default), right, or 'inner',
 #' representing left_join, right_join, and inner_join
 #' @param overlap character-typed value, passed to \link[data.table]{foverlaps}' type
@@ -52,16 +56,17 @@ overlap_join <- function(x, y, by = NULL, by.x = by, by.y = by,
   type <- match.arg(type)
   overlap <- match.arg(overlap)
   mutl <- match.arg(multiple_match)
-  arg.x <- switch(type, y, right = x)
-  arg.y <- switch(type, x, right = y)
-  arg.by.x <- switch(type, by.y, right = by.x)
-  arg.by.y <- switch(type, by.x, right = by.y)
+  arg.x <- switch(type, left = x, y)
+  arg.y <- switch(type, left = y, x)
+  arg.by.x <- switch(type, left = by.x, by.y)
+  arg.by.y <- switch(type, left = by.y, by.x)
   nomatch <- switch(type, inner = NULL, NA)
   if (!length(by)) {
     if (!length(by.x) & !length(by.y)){
       by.x <- by.y <- by <- intersect(names(x), names(y))
       message('Joining by =', by)
     }
+    if (xor(length(by.x), length(by.y))) stop('Both by.x and by.y must not be missing.')
   }
 
   data.table::setDT(arg.x)
@@ -72,5 +77,97 @@ overlap_join <- function(x, y, by = NULL, by.x = by, by.y = by,
   merged_dt <- data.table::foverlaps(x = arg.x, y = arg.y, by.x = arg.by.x, by.y = arg.by.y,
                                      maxgap = max_gap, minoverlap = min_overlap, nomatch = nomatch,
                                      which = FALSE, verbose = FALSE)
-  dplyr::as_tibble(merged_dt)
+  merged_dt <- dplyr::select(merged_dt, !!!union(names(x), names(y)))
 }
+
+#' Summarise events overlapping of 2 event data frames.
+#' @description A function to summarise the overlapping status of 2 event data frames
+#' @param x,y data.frames.
+#' @param ids the id col(s) wrapped in dplyr::vars() distinguishing different events.
+#' Based on this is the summarisation taken.
+#' @param cols,cols.x,cols.y variables wrapped in dplyr::vars(), passed to overlap_join.
+#' By default, except for the last 2, every columns will be automatically included into ids.
+#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE.
+#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
+#' @return A summary table that has at least 6 columns.
+#'
+#' id column(s): identification of each event.
+#'
+#' X: total time when X happens, regardless Y
+#' Y: total time when Y happens, regardless X
+#' X_Y: time duration when X and Y happen simultaneously
+#' X_notY: time duration when only X happens
+#' notX_Y: time duration when only Y happens
+#' @seealso \link[dplyr]{vars}
+#' @export
+overlap_summary <- function(x, y, ids, cols, cols.x = cols, cols.y = cols, sstable = FALSE, flextable = FALSE)
+{
+  # browser()
+  if (missing(cols)){
+    if (missing(cols.x) & missing(cols.y)){
+      cols.x <- cols.y <- cols <- intersect(names(x), names(y))
+      message('Matching cols =', by)
+    }
+    if (xor(length(cols.x), length(cols.y))) stop('Both cols.x and cols.y must not be missing.')
+  }
+
+  cols.x <- names(dplyr::select(x, !!!cols.x))
+  cols.y <- names(dplyr::select(y, !!!cols.y))
+
+  if (missing(ids)) ids <- union(cols.x[1:(length(cols.x)-2)], cols.y[1:(length(cols.y)-2)])
+  else ids <- union(cols.x[1:(length(cols.x)-2)], c(cols.y[1:(length(cols.y)-2)], sapply(ids, rlang::quo_name)))
+
+  x_join <- overlap_join(x, y, by.x = cols.x, by.y = cols.y, type = 'left', overlap = 'any', multiple_match = 'all')
+  y_join <- overlap_join(x, y, by.x = cols.x, by.y = cols.y, type = 'right', overlap = 'any', multiple_match = 'all')
+
+  time_start.x <- cols.x[length(cols.x)-1]
+  time_end.x <- cols.x[length(cols.x)]
+  time_start.y <- cols.y[length(cols.y)-1]
+  time_end.y <- cols.y[length(cols.y)]
+
+
+  x_summary <- x_join %>%
+    dplyr::mutate(
+      .x_y_start = pmax(x_join[[time_start.x]], x_join[[time_start.y]]),
+      .x_y_end = pmin(x_join[[time_end.x]], x_join[[time_end.y]]),
+      .x_y_dur = .x_y_end - .x_y_start,
+      .x_dur = x_join[[time_end.x]] - x_join[[time_start.x]],
+      .x_y_dur = ifelse(is.na(.x_y_dur), 0, .x_y_dur)
+    ) %>%
+    dplyr::group_by_at(vars(!!!{{c(ids, time_start.x, time_end.x)}})) %>%
+    dplyr::summarise(X_Y = sum(.x_y_dur), X = unique(.x_dur)) %>%
+    dplyr::mutate(X_notY = X - X_Y) %>%
+    dplyr::ungroup() %>%
+    dplyr::group_by_at(vars(!!!{{ids}})) %>%
+    dplyr::summarise_at(vars(X, X_Y, X_notY), sum)
+
+  y_summary <- y_join %>%
+    dplyr::mutate(
+      .x_y_start = pmax(y_join[[time_start.x]], y_join[[time_start.y]]),
+      .x_y_end = pmin(y_join[[time_end.x]], y_join[[time_end.y]]),
+      .x_y_dur = .x_y_end - .x_y_start,
+      .y_dur = y_join[[time_end.y]] - y_join[[time_start.y]],
+      .x_y_dur = ifelse(is.na(.x_y_dur), 0, .x_y_dur)
+    ) %>%
+    dplyr::group_by_at(vars(!!!{{c(ids, time_start.y, time_end.y)}})) %>%
+    dplyr::summarise(X_Y = sum(.x_y_dur), Y = unique(.y_dur)) %>%
+    dplyr::mutate(notX_Y = Y - X_Y) %>%
+    dplyr::ungroup() %>%
+    dplyr::group_by_at(vars(!!!{{ids}})) %>%
+    dplyr::summarise_at(vars(Y, notX_Y), sum)
+
+  summary_tbl <-
+    merge(x_summary, y_summary) %>%
+    dplyr::select(!!!{{ids}}, X, Y, X_Y, X_notY, notX_Y)
+  class(summary_tbl) <- c('overlap_summary', class(summary_tbl))
+  attr(summary_tbl, 'footer') <-
+    c('X: total time when X happens, regardless Y',
+      'Y: total time when Y happens, regardless X',
+      'X_Y: time duration when X and Y happen simultaneously',
+      'X_notY: time duration when only X happens',
+      'notX_Y: time duration when only Y happens')
+  if (sstable) return(as_sstable.overlap_summary(summary_tbl, flextable = flextable))
+  summary_tbl
+}
+
+
diff --git a/R/ssformat.R b/R/ssformat.R
index aaf4753..5dd7f2e 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -579,3 +579,24 @@ as_sstable.logist_summary <- function(x, include_footnote = TRUE, flextable = FA
   if (include_footnote) return(out)
   out$table
 }
+
+#' @rdname as_sstable
+#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
+#' @export
+as_sstable.overlap_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  out$footer <- attr(x, 'footer')
+  class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
+
+  if (flextable){
+    overlap_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
+    return(overlap_summary.sstable)
+  }
+
+  if (include_footnote) return(out)
+  out$table
+}
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
index 90b93ba..9fcd61d 100644
--- a/man/as_sstable.Rd
+++ b/man/as_sstable.Rd
@@ -5,6 +5,7 @@
 \alias{as_sstable.default}
 \alias{as_sstable.list}
 \alias{as_sstable.logist_summary}
+\alias{as_sstable.overlap_summary}
 \title{Coerce an object to sstable}
 \usage{
 as_sstable(x, ...)
@@ -14,6 +15,8 @@ as_sstable(x, ...)
 \method{as_sstable}{list}(x, flextable = FALSE, ...)
 
 \method{as_sstable}{logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
+
+\method{as_sstable}{overlap_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
 }
 \arguments{
 \item{x}{An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")}
diff --git a/man/overlap_join.Rd b/man/overlap_join.Rd
index 1015ab3..a805dbd 100644
--- a/man/overlap_join.Rd
+++ b/man/overlap_join.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/overlap_join.R
 \name{overlap_join}
 \alias{overlap_join}
-\title{Overlap join of 2 data frames.}
+\title{Overlap join of 2 data frames}
 \usage{
 overlap_join(
   x,
@@ -20,10 +20,13 @@ overlap_join(
 \arguments{
 \item{x, y}{data.frames}
 
-\item{by, by.x, by.y}{a character vector of variables to join by.
+\item{by, by.x, by.y}{a character vector of variables to join by, passed to \link[data.table]{foverlaps}' by.x ad by.y.
+
 If NULL, the default,  will do a natural join, using all variables with common names across the two tables.
 A message lists the variables so that you can check they're right
-(to suppress the message, simply explicitly list the variables that you want to join)}
+(to suppress the message, simply explicitly list the variables that you want to join).
+
+Otherwise, the last two columns must be the start and end time of the event specified.}
 
 \item{type}{character-typed value, either 'left' (default), right, or 'inner',
 representing left_join, right_join, and inner_join}
@@ -64,7 +67,7 @@ then these two intervals are considered to be overlapping.}
 a tibble with relevant columns from x, y
 }
 \description{
-This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar
+This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar.
 }
 \seealso{
 \link[data.table]{foverlaps}
diff --git a/man/overlap_summary.Rd b/man/overlap_summary.Rd
new file mode 100644
index 0000000..0329166
--- /dev/null
+++ b/man/overlap_summary.Rd
@@ -0,0 +1,47 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/overlap_join.R
+\name{overlap_summary}
+\alias{overlap_summary}
+\title{Summarise events overlapping of 2 event data frames.}
+\usage{
+overlap_summary(
+  x,
+  y,
+  ids,
+  cols,
+  cols.x = cols,
+  cols.y = cols,
+  sstable = FALSE,
+  flextable = FALSE
+)
+}
+\arguments{
+\item{x, y}{data.frames.}
+
+\item{ids}{the id col(s) wrapped in dplyr::vars() distinguishing different events.
+Based on this is the summarisation taken.}
+
+\item{cols, cols.x, cols.y}{variables wrapped in dplyr::vars(), passed to overlap_join.
+By default, except for the last 2, every columns will be automatically included into ids.}
+
+\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE.}
+
+\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.}
+}
+\value{
+A summary table that has at least 6 columns.
+
+id column(s): identification of each event.
+
+X: total time when X happens, regardless Y
+Y: total time when Y happens, regardless X
+X_Y: time duration when X and Y happen simultaneously
+X_notY: time duration when only X happens
+notX_Y: time duration when only Y happens
+}
+\description{
+A function to summarise the overlapping status of 2 event data frames
+}
+\seealso{
+\link[dplyr]{vars}
+}

From 4b68c38e3452c68211927ae1f5f10468eeba4a49 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 3 Dec 2019 17:32:39 +0700
Subject: [PATCH 033/193] Fix a bug in logist_summary when flextable is not
 respected

---
 R/logist_summary.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/logist_summary.R b/R/logist_summary.R
index 663d11a..db37dda 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -32,7 +32,7 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
 
   out <- structure(result_obj$table, footer = result_obj$footer, method = method, class = c('logist_summary','data.frame'))
-  if (sstable) return(as_sstable.logist_summary(out))
+  if (sstable) return(as_sstable.logist_summary(out, flextable = flextable))
   if (verbose) return(invisible(print(out)))
   return(out)
 }

From 59dfa9b12ffbc2c0c20b3949dc22fec483739081 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 17 Dec 2019 16:26:30 +0700
Subject: [PATCH 034/193] Separate overlap function to rangemisc, new _f
 functions

---
 .gitignore             |   1 +
 DESCRIPTION            |   3 +-
 NAMESPACE              |  14 +++-
 R/.depricated.R        |  52 +++++++++++++
 R/func_mult.R          | 113 +++++++++++++++++++++++++++
 R/overlap_join.R       | 173 -----------------------------------------
 R/simple_relevel.R     |  34 +++++++-
 man/mutate_f.Rd        |  41 ++++++++++
 man/overlap_join.Rd    |  74 ------------------
 man/overlap_summary.Rd |  47 -----------
 man/simple_relevel.Rd  |  12 ++-
 man/simple_sort.Rd     |  19 +++++
 man/summarise_f.Rd     |  40 ++++++++++
 13 files changed, 322 insertions(+), 301 deletions(-)
 create mode 100644 R/func_mult.R
 delete mode 100644 R/overlap_join.R
 create mode 100644 man/mutate_f.Rd
 delete mode 100644 man/overlap_join.Rd
 delete mode 100644 man/overlap_summary.Rd
 create mode 100644 man/simple_sort.Rd
 create mode 100644 man/summarise_f.Rd

diff --git a/.gitignore b/.gitignore
index 5b6a065..381c7d7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,3 +2,4 @@
 .Rhistory
 .RData
 .Ruserdata
+R/.depricated.R
diff --git a/DESCRIPTION b/DESCRIPTION
index 7cfeabf..8703d10 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -25,6 +25,7 @@ Description: Collection of useful R codes for data analysis from the Biostatisti
 License: The MIT License (MIT)
 Encoding: UTF-8
 LazyData: true
+Depends: data.table
 Imports: lubridate,
     car,
     readxl,
@@ -33,7 +34,7 @@ Imports: lubridate,
     officer,
     survival,
     tidyr,
-    data.table
+    rlang
 RoxygenNote: 7.0.2
 Suggests: knitr,
     rmarkdown,
diff --git a/NAMESPACE b/NAMESPACE
index ee5e388..ac951dc 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -6,6 +6,10 @@ S3method(as_sstable,list)
 S3method(as_sstable,logist_summary)
 S3method(as_sstable,overlap_summary)
 S3method(explicit,lm)
+S3method(mutate_f,data.frame)
+S3method(mutate_f,data.table)
+S3method(mutate_f,grouped_df)
+S3method(mutate_f,tbl)
 S3method(print,ss_tbl)
 S3method(ref_lv,factor)
 S3method(simple_recode,data.frame)
@@ -16,6 +20,10 @@ S3method(ss_flextable,default)
 S3method(ss_flextable,list)
 S3method(ss_huxtable,default)
 S3method(ss_huxtable,list)
+S3method(summarise_f,data.frame)
+S3method(summarise_f,data.table)
+S3method(summarise_f,grouped_df)
+S3method(summarise_f,tbl)
 export("ref_lv<-")
 export(as_sstable)
 export(contSummary)
@@ -29,13 +37,13 @@ export(import.info)
 export(inspect.data)
 export(labAE)
 export(logist_summary)
+export(mutate_f)
 export(myformat.data)
-export(overlap_join)
-export(overlap_summary)
 export(pct)
 export(ref_lv)
 export(simple_recode)
 export(simple_relevel)
+export(simple_sort)
 export(ss_body)
 export(ss_flextable)
 export(ss_format)
@@ -47,6 +55,8 @@ export(sstable.ae)
 export(sstable.baseline)
 export(sstable.survcomp)
 export(sstable.survcomp.subgroup)
+export(summarise_f)
 import(dplyr)
 import(survival)
 import(tidyr)
+importFrom(data.table,":=")
diff --git a/R/.depricated.R b/R/.depricated.R
index 9716bec..a55163e 100644
--- a/R/.depricated.R
+++ b/R/.depricated.R
@@ -28,3 +28,55 @@
   }
   return(result)
 }
+
+#' Create new variables as-is
+#'
+#' @description A function to create new variable(s) based on existing ones.
+#' @param .data A data.frame or tbl
+#' @param ... Relevant columns involved in the calculation of new variables and is matched by fun
+#' @param fun A function returning a named list of new variables. Element names will serve as new columns' names.
+#' @return a data.frame or a tbl
+#' @examples
+#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
+#'
+#' df %>%
+#' dplyr::group_by(foo) %>%
+#' mutate_asis(foo, baz, fun = function(foo, baz) return(list(a = cumsum(baz), b = baz*2)))
+mutate_asis <- function(.data, ..., fun)
+{
+  # fun <- rlang::enquo(fun)
+  dots <- lapply(rlang::enquos(...), rlang::quo_get_expr)
+  group_names <- dplyr::group_vars(.data)
+  .data %>%
+    dplyr::group_modify(
+      function(.x, .y){
+        data_tbl <- data.table::as.data.table(.x)
+        # browser()
+        expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, fun(!!!dots)]))
+        data_tbl <- rlang::eval_tidy(expr)
+        new_cols <- names(data_tbl)[!names(data_tbl) %in% group_names]
+        cbind(.x, as.data.frame(data_tbl)[,new_cols])
+      }
+    )
+}
+
+
+mutate_asis <- function(.data, .fun)
+{
+  .fun <- rlang::quo_get_expr(rlang::enquo(.fun))
+  # dots <- lapply(rlang::enquos(...), rlang::quo_get_expr)
+  group_names <- dplyr::group_vars(.data)
+  browser()
+  .data %>%
+    dplyr::group_modify(
+      function(.x, .y){
+        data_tbl <- data.table::as.data.table(.x)
+        # browser()
+        expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, !!.fun]))
+        data_tbl <- rlang::eval_tidy(expr)
+        new_cols <- names(data_tbl)[!names(data_tbl) %in% group_names]
+        cbind(.x, as.data.frame(data_tbl)[,new_cols])
+      }
+    )
+}
+
diff --git a/R/func_mult.R b/R/func_mult.R
new file mode 100644
index 0000000..c59f467
--- /dev/null
+++ b/R/func_mult.R
@@ -0,0 +1,113 @@
+#' Create or transform variables, with support for multiple assignment
+#'
+#' @description A function to create new variable(s) based on existing ones.
+#' @param .data A data.frame, data.table, or tbl
+#' @param ... Name-value pairs of expressions, following data.table syntax: "new_col" := expression.
+#' Multiple assignments can be done via c("new_col1", "new_col2") := expression_returning_a_list.
+#'
+#' If unnamed, names of each list elements will be used
+#' @return a data.frame, data.table, or a tbl
+#' @examples
+#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
+#'
+#' df %>%
+#' dplyr::group_by(foo) %>%
+#' mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
+#' @importFrom data.table :=
+#' @export
+mutate_f <- function(.data, ...){
+  UseMethod('mutate_f')
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.data.table <- function(.data, ...){
+  dt_out <- mutate_f.data.frame(.data, ...)
+  setDT(dt_out)
+  dt_out
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.tbl <- function(.data, ...){
+  dt_out <- mutate_f.data.frame(.data, ...)
+  dt_out <- tibble::as_tibble(dt_out)
+  dt_out
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.grouped_df <- function(.data, ...){
+  dt_out <- mutate_f.data.frame(.data, ...)
+  group_names <- dplyr::group_vars(.data)
+  dplyr::group_by_at(dt_out, dplyr::vars(!!!{{group_names}}))
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.data.frame <- function(.data, ...){
+  group_names <- dplyr::group_vars(.data)
+  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
+  data_tbl <- data_tbl[, ..., by = group_names]
+  new_cols <- names(data_tbl)[!names(data_tbl) %in% union(group_names, names(.data))]
+  data_tbl <- cbind(as.data.frame(.data), as.data.frame(data_tbl)[,new_cols])
+  data_tbl
+}
+
+#########################################################
+
+#' Reduce multiple values by summarisation functions.
+#'
+#' @description Create variables summarising exisiting variables, by using summarisation function.
+#' @param .data A data.frame, data.table, or tbl
+#' @param ... Summarisation functions.
+#' Each of which must return a named list, whose names stand for new variables' names.
+#' Anonymous functions must be wrapped in parentheses.
+#'
+#' @return a data.frame, data.table, or a tbl
+#' @examples
+#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
+#'
+#' df %>%
+#' dplyr::group_by(foo) %>%
+#' summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
+#' @importFrom data.table :=
+#' @export
+summarise_f <- summarize_f <- function(.data, ...){
+  UseMethod('summarise_f')
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.data.frame <- function(.data, ...){
+  # browser()
+  .fun <- lapply(rlang::enquos(...), rlang::quo_get_expr)
+  group_names <- dplyr::group_vars(.data)
+  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
+  expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, c(!!!.fun), by = group_names]))
+  rlang::eval_tidy(expr)
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.data.table <- function(.data, ...){
+  dt_out <- summarise_f.data.frame(.data, ...)
+  setDT(dt_out)
+  dt_out
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.tbl <- function(.data, ...){
+  dt_out <- summarise_f.data.frame(.data, ...)
+  dt_out <- tibble::as_tibble(dt_out)
+  dt_out
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.grouped_df <- function(.data, ...){
+  dt_out <- summarise_f.data.frame(.data, ...)
+  group_names <- dplyr::group_vars(.data)
+  dplyr::group_by_at(dt_out, dplyr::vars(!!!{{group_names}}))
+}
diff --git a/R/overlap_join.R b/R/overlap_join.R
deleted file mode 100644
index c1457be..0000000
--- a/R/overlap_join.R
+++ /dev/null
@@ -1,173 +0,0 @@
-#' Overlap join of 2 data frames
-#' @description This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar.
-#' @param x,y data.frames
-#' @param by,by.x,by.y
-#' a character vector of variables to join by, passed to \link[data.table]{foverlaps}' by.x ad by.y.
-#'
-#' If NULL, the default,  will do a natural join, using all variables with common names across the two tables.
-#' A message lists the variables so that you can check they're right
-#' (to suppress the message, simply explicitly list the variables that you want to join).
-#'
-#' Otherwise, the last two columns must be the start and end time of the event specified.
-#'
-#' @param type character-typed value, either 'left' (default), right, or 'inner',
-#' representing left_join, right_join, and inner_join
-#' @param overlap character-typed value, passed to \link[data.table]{foverlaps}' type
-#'
-#' Allowed values are 'any' (default), 'within', 'start', 'end' and 'equal'.
-#'
-#' The types shown here are identical in functionality
-#' to the function findOverlaps in the bioconductor package IRanges.
-#'
-#' Let [a,b] and [c,d] be intervals in x and y with a<=b and c<=d.
-#' For type="start", the intervals overlap iff a == c.
-#' For type="end", the intervals overlap iff b == d.
-#' For type="within", the intervals overlap iff a>=c and b<=d.
-#' For type="equal", the intervals overlap iff a==c and b==d.
-#' For type="any", as long as c<=b and d>=a, they overlap.
-#' In addition to these requirements, they also have to satisfy the min_overlap argument.
-#'
-#' @param multiple_match a character-typed value, passed to \link[data.table]{foverlaps}' mult
-#'
-#' When multiple rows in y match to the row in x,
-#' multiple_match controls which values are returned - "all" (default), "first" or "last".
-#'
-#' @param max_gap a character-typed value, passed to \link[data.table]{foverlaps}' maxgap.
-#' It should be a non-negative integer value, >= 0. Default is 0 (no gap). For intervals [a,b] and [c,d],
-#' where a<=b and c<=d, when c > b or d < a, the two intervals don't overlap.
-#' If the gap between these two intervals is <= maxgap, these two intervals are considered as overlapping.
-#'
-#' @param min_overlap a character-typed value, passed to \link[data.table]{foverlaps}' minoverlap
-#'
-#' It should be a positive integer value, > 0. Default is 1. For intervals [a,b] and [c,d],
-#' where a<=b and c<=d, when c<=b and d>=a, the two intervals overlap.
-#' If the length of overlap between these two intervals is >= minoverlap,
-#' then these two intervals are considered to be overlapping.
-#'
-#' @return a tibble with relevant columns from x, y
-#' @seealso \link[data.table]{foverlaps}
-#' @export
-overlap_join <- function(x, y, by = NULL, by.x = by, by.y = by,
-                         type = c('left', 'right', 'inner'),
-                         overlap = c('any', 'within', 'start', 'end', 'equal'),
-                         multiple_match = c('all', 'first', 'last'),
-                         max_gap = 0L, min_overlap = 1L)
-{
-  type <- match.arg(type)
-  overlap <- match.arg(overlap)
-  mutl <- match.arg(multiple_match)
-  arg.x <- switch(type, left = x, y)
-  arg.y <- switch(type, left = y, x)
-  arg.by.x <- switch(type, left = by.x, by.y)
-  arg.by.y <- switch(type, left = by.y, by.x)
-  nomatch <- switch(type, inner = NULL, NA)
-  if (!length(by)) {
-    if (!length(by.x) & !length(by.y)){
-      by.x <- by.y <- by <- intersect(names(x), names(y))
-      message('Joining by =', by)
-    }
-    if (xor(length(by.x), length(by.y))) stop('Both by.x and by.y must not be missing.')
-  }
-
-  data.table::setDT(arg.x)
-  data.table::setDT(arg.y)
-  data.table::setkeyv(arg.x, arg.by.x)
-  data.table::setkeyv(arg.y, arg.by.y)
-
-  merged_dt <- data.table::foverlaps(x = arg.x, y = arg.y, by.x = arg.by.x, by.y = arg.by.y,
-                                     maxgap = max_gap, minoverlap = min_overlap, nomatch = nomatch,
-                                     which = FALSE, verbose = FALSE)
-  merged_dt <- dplyr::select(merged_dt, !!!union(names(x), names(y)))
-}
-
-#' Summarise events overlapping of 2 event data frames.
-#' @description A function to summarise the overlapping status of 2 event data frames
-#' @param x,y data.frames.
-#' @param ids the id col(s) wrapped in dplyr::vars() distinguishing different events.
-#' Based on this is the summarisation taken.
-#' @param cols,cols.x,cols.y variables wrapped in dplyr::vars(), passed to overlap_join.
-#' By default, except for the last 2, every columns will be automatically included into ids.
-#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE.
-#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
-#' @return A summary table that has at least 6 columns.
-#'
-#' id column(s): identification of each event.
-#'
-#' X: total time when X happens, regardless Y
-#' Y: total time when Y happens, regardless X
-#' X_Y: time duration when X and Y happen simultaneously
-#' X_notY: time duration when only X happens
-#' notX_Y: time duration when only Y happens
-#' @seealso \link[dplyr]{vars}
-#' @export
-overlap_summary <- function(x, y, ids, cols, cols.x = cols, cols.y = cols, sstable = FALSE, flextable = FALSE)
-{
-  # browser()
-  if (missing(cols)){
-    if (missing(cols.x) & missing(cols.y)){
-      cols.x <- cols.y <- cols <- intersect(names(x), names(y))
-      message('Matching cols =', by)
-    }
-    if (xor(length(cols.x), length(cols.y))) stop('Both cols.x and cols.y must not be missing.')
-  }
-
-  cols.x <- names(dplyr::select(x, !!!cols.x))
-  cols.y <- names(dplyr::select(y, !!!cols.y))
-
-  if (missing(ids)) ids <- union(cols.x[1:(length(cols.x)-2)], cols.y[1:(length(cols.y)-2)])
-  else ids <- union(cols.x[1:(length(cols.x)-2)], c(cols.y[1:(length(cols.y)-2)], sapply(ids, rlang::quo_name)))
-
-  x_join <- overlap_join(x, y, by.x = cols.x, by.y = cols.y, type = 'left', overlap = 'any', multiple_match = 'all')
-  y_join <- overlap_join(x, y, by.x = cols.x, by.y = cols.y, type = 'right', overlap = 'any', multiple_match = 'all')
-
-  time_start.x <- cols.x[length(cols.x)-1]
-  time_end.x <- cols.x[length(cols.x)]
-  time_start.y <- cols.y[length(cols.y)-1]
-  time_end.y <- cols.y[length(cols.y)]
-
-
-  x_summary <- x_join %>%
-    dplyr::mutate(
-      .x_y_start = pmax(x_join[[time_start.x]], x_join[[time_start.y]]),
-      .x_y_end = pmin(x_join[[time_end.x]], x_join[[time_end.y]]),
-      .x_y_dur = .x_y_end - .x_y_start,
-      .x_dur = x_join[[time_end.x]] - x_join[[time_start.x]],
-      .x_y_dur = ifelse(is.na(.x_y_dur), 0, .x_y_dur)
-    ) %>%
-    dplyr::group_by_at(vars(!!!{{c(ids, time_start.x, time_end.x)}})) %>%
-    dplyr::summarise(X_Y = sum(.x_y_dur), X = unique(.x_dur)) %>%
-    dplyr::mutate(X_notY = X - X_Y) %>%
-    dplyr::ungroup() %>%
-    dplyr::group_by_at(vars(!!!{{ids}})) %>%
-    dplyr::summarise_at(vars(X, X_Y, X_notY), sum)
-
-  y_summary <- y_join %>%
-    dplyr::mutate(
-      .x_y_start = pmax(y_join[[time_start.x]], y_join[[time_start.y]]),
-      .x_y_end = pmin(y_join[[time_end.x]], y_join[[time_end.y]]),
-      .x_y_dur = .x_y_end - .x_y_start,
-      .y_dur = y_join[[time_end.y]] - y_join[[time_start.y]],
-      .x_y_dur = ifelse(is.na(.x_y_dur), 0, .x_y_dur)
-    ) %>%
-    dplyr::group_by_at(vars(!!!{{c(ids, time_start.y, time_end.y)}})) %>%
-    dplyr::summarise(X_Y = sum(.x_y_dur), Y = unique(.y_dur)) %>%
-    dplyr::mutate(notX_Y = Y - X_Y) %>%
-    dplyr::ungroup() %>%
-    dplyr::group_by_at(vars(!!!{{ids}})) %>%
-    dplyr::summarise_at(vars(Y, notX_Y), sum)
-
-  summary_tbl <-
-    merge(x_summary, y_summary) %>%
-    dplyr::select(!!!{{ids}}, X, Y, X_Y, X_notY, notX_Y)
-  class(summary_tbl) <- c('overlap_summary', class(summary_tbl))
-  attr(summary_tbl, 'footer') <-
-    c('X: total time when X happens, regardless Y',
-      'Y: total time when Y happens, regardless X',
-      'X_Y: time duration when X and Y happen simultaneously',
-      'X_notY: time duration when only X happens',
-      'notX_Y: time duration when only Y happens')
-  if (sstable) return(as_sstable.overlap_summary(summary_tbl, flextable = flextable))
-  summary_tbl
-}
-
-
diff --git a/R/simple_relevel.R b/R/simple_relevel.R
index 52f3a6b..b8824ca 100644
--- a/R/simple_relevel.R
+++ b/R/simple_relevel.R
@@ -45,10 +45,19 @@ simple_relevel.data.frame <- function(data, ..., by){
 #' @param by a vector that the relevelling process will base on
 #' @param map a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
 #' or a data.frame with two columns "from" and "to" serving the same purpose.
+#' @param value a string: whether to return
+#'
+#' - "levels": new levels only
+#'
+#' - "unsorted" (default): an unsorted, relevelled factor
+#'
+#' - "sorted": a sorted, relevelled factor
+#' @return A factor or a numeric vector of order
 #' @export
-simple_relevel.default <- function(x, by, map){
+simple_relevel.default <- function(x, by, map, value = c('unsorted', 'sorted', 'levels')){
   requireNamespace('dplyr')
-  if (is.list(map)){
+  value <- match.arg(value)
+  if (!is.data.frame(map)){
     map <- do.call(rbind,
                    lapply(seq_along(map),
                           function(i){
@@ -63,5 +72,24 @@ simple_relevel.default <- function(x, by, map){
   map$from <- factor(map$from, levels = levels(by))
   X <- data.frame(to = x)
   data <- merge(X, map, by = 'to', all.x = TRUE)
-  simple_relevel.data.frame(data, to, by = from)$to
+  to <- simple_relevel.data.frame(data, to, by = from)$to
+  if (value == 'sorted') return(to)
+  lv <- levels(to)
+  if (value == 'levels') return(lv)
+  factor(x, levels = lv)
+}
+
+#' Sort a vector in a user-defined order
+#' @description A function to sort a vector i an user-defined order
+#' @param x A vector to be sorted
+#' @param order A manually defined order vector
+#' @return A vector
+#' @export
+simple_sort <- function(x, order = levels(as.factor(x))){
+  stopifnot(length(order) == length(unique(x)))
+  x_factor <- factor(x, levels = order)
+  x_sort <- sort(x_factor)
+  x_retrieve <- as(levels(x_sort), typeof(x))[x_sort]
+  attributes(x_retrieve) <- attributes(x)
+  x_retrieve
 }
diff --git a/man/mutate_f.Rd b/man/mutate_f.Rd
new file mode 100644
index 0000000..0e679f6
--- /dev/null
+++ b/man/mutate_f.Rd
@@ -0,0 +1,41 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/func_mult.R
+\name{mutate_f}
+\alias{mutate_f}
+\alias{mutate_f.data.table}
+\alias{mutate_f.tbl}
+\alias{mutate_f.grouped_df}
+\alias{mutate_f.data.frame}
+\title{Create or transform variables, with support for multiple assignment}
+\usage{
+mutate_f(.data, ...)
+
+\method{mutate_f}{data.table}(.data, ...)
+
+\method{mutate_f}{tbl}(.data, ...)
+
+\method{mutate_f}{grouped_df}(.data, ...)
+
+\method{mutate_f}{data.frame}(.data, ...)
+}
+\arguments{
+\item{.data}{A data.frame, data.table, or tbl}
+
+\item{...}{Name-value pairs of expressions, following data.table syntax: "new_col" := expression.
+Multiple assignments can be done via c("new_col1", "new_col2") := expression_returning_a_list.
+
+If unnamed, names of each list elements will be used}
+}
+\value{
+a data.frame, data.table, or a tbl
+}
+\description{
+A function to create new variable(s) based on existing ones.
+}
+\examples{
+df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
+
+df \%>\%
+dplyr::group_by(foo) \%>\%
+mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
+}
diff --git a/man/overlap_join.Rd b/man/overlap_join.Rd
deleted file mode 100644
index a805dbd..0000000
--- a/man/overlap_join.Rd
+++ /dev/null
@@ -1,74 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/overlap_join.R
-\name{overlap_join}
-\alias{overlap_join}
-\title{Overlap join of 2 data frames}
-\usage{
-overlap_join(
-  x,
-  y,
-  by = NULL,
-  by.x = by,
-  by.y = by,
-  type = c("left", "right", "inner"),
-  overlap = c("any", "within", "start", "end", "equal"),
-  multiple_match = c("all", "first", "last"),
-  max_gap = 0L,
-  min_overlap = 1L
-)
-}
-\arguments{
-\item{x, y}{data.frames}
-
-\item{by, by.x, by.y}{a character vector of variables to join by, passed to \link[data.table]{foverlaps}' by.x ad by.y.
-
-If NULL, the default,  will do a natural join, using all variables with common names across the two tables.
-A message lists the variables so that you can check they're right
-(to suppress the message, simply explicitly list the variables that you want to join).
-
-Otherwise, the last two columns must be the start and end time of the event specified.}
-
-\item{type}{character-typed value, either 'left' (default), right, or 'inner',
-representing left_join, right_join, and inner_join}
-
-\item{overlap}{character-typed value, passed to \link[data.table]{foverlaps}' type
-
-Allowed values are 'any' (default), 'within', 'start', 'end' and 'equal'.
-
-The types shown here are identical in functionality
-to the function findOverlaps in the bioconductor package IRanges.
-
-Let [a,b] and [c,d] be intervals in x and y with a<=b and c<=d.
-For type="start", the intervals overlap iff a == c.
-For type="end", the intervals overlap iff b == d.
-For type="within", the intervals overlap iff a>=c and b<=d.
-For type="equal", the intervals overlap iff a==c and b==d.
-For type="any", as long as c<=b and d>=a, they overlap.
-In addition to these requirements, they also have to satisfy the min_overlap argument.}
-
-\item{multiple_match}{a character-typed value, passed to \link[data.table]{foverlaps}' mult
-
-When multiple rows in y match to the row in x,
-multiple_match controls which values are returned - "all" (default), "first" or "last".}
-
-\item{max_gap}{a character-typed value, passed to \link[data.table]{foverlaps}' maxgap.
-It should be a non-negative integer value, >= 0. Default is 0 (no gap). For intervals [a,b] and [c,d],
-where a<=b and c<=d, when c > b or d < a, the two intervals don't overlap.
-If the gap between these two intervals is <= maxgap, these two intervals are considered as overlapping.}
-
-\item{min_overlap}{a character-typed value, passed to \link[data.table]{foverlaps}' minoverlap
-
-It should be a positive integer value, > 0. Default is 1. For intervals [a,b] and [c,d],
-where a<=b and c<=d, when c<=b and d>=a, the two intervals overlap.
-If the length of overlap between these two intervals is >= minoverlap,
-then these two intervals are considered to be overlapping.}
-}
-\value{
-a tibble with relevant columns from x, y
-}
-\description{
-This function is a wrapper of data.table's foverlaps, following the dplyr's _join grammar.
-}
-\seealso{
-\link[data.table]{foverlaps}
-}
diff --git a/man/overlap_summary.Rd b/man/overlap_summary.Rd
deleted file mode 100644
index 0329166..0000000
--- a/man/overlap_summary.Rd
+++ /dev/null
@@ -1,47 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/overlap_join.R
-\name{overlap_summary}
-\alias{overlap_summary}
-\title{Summarise events overlapping of 2 event data frames.}
-\usage{
-overlap_summary(
-  x,
-  y,
-  ids,
-  cols,
-  cols.x = cols,
-  cols.y = cols,
-  sstable = FALSE,
-  flextable = FALSE
-)
-}
-\arguments{
-\item{x, y}{data.frames.}
-
-\item{ids}{the id col(s) wrapped in dplyr::vars() distinguishing different events.
-Based on this is the summarisation taken.}
-
-\item{cols, cols.x, cols.y}{variables wrapped in dplyr::vars(), passed to overlap_join.
-By default, except for the last 2, every columns will be automatically included into ids.}
-
-\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE.}
-
-\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.}
-}
-\value{
-A summary table that has at least 6 columns.
-
-id column(s): identification of each event.
-
-X: total time when X happens, regardless Y
-Y: total time when Y happens, regardless X
-X_Y: time duration when X and Y happen simultaneously
-X_notY: time duration when only X happens
-notX_Y: time duration when only Y happens
-}
-\description{
-A function to summarise the overlapping status of 2 event data frames
-}
-\seealso{
-\link[dplyr]{vars}
-}
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
index 17311ec..28b62d1 100644
--- a/man/simple_relevel.Rd
+++ b/man/simple_relevel.Rd
@@ -10,7 +10,7 @@ simple_relevel(x, ...)
 
 \method{simple_relevel}{data.frame}(data, ..., by)
 
-\method{simple_relevel}{default}(x, by, map)
+\method{simple_relevel}{default}(x, by, map, value = c("unsorted", "sorted", "levels"))
 }
 \arguments{
 \item{x}{a vector that will be relevelled}
@@ -23,9 +23,19 @@ simple_relevel(x, ...)
 
 \item{map}{a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
 or a data.frame with two columns "from" and "to" serving the same purpose.}
+
+\item{value}{a string: whether to return
+
+- "levels": new levels only
+
+- "unsorted" (default): an unsorted, relevelled factor
+
+- "sorted": a sorted, relevelled factor}
 }
 \value{
 An object of the same class as the input
+
+A factor or a numeric vector of order
 }
 \description{
 Function to relevel a variable in accordance to a another variable of class "factor".
diff --git a/man/simple_sort.Rd b/man/simple_sort.Rd
new file mode 100644
index 0000000..17670eb
--- /dev/null
+++ b/man/simple_sort.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/simple_relevel.R
+\name{simple_sort}
+\alias{simple_sort}
+\title{Sort a vector in a user-defined order}
+\usage{
+simple_sort(x, order = levels(as.factor(x)))
+}
+\arguments{
+\item{x}{A vector to be sorted}
+
+\item{order}{A manually defined order vector}
+}
+\value{
+A vector
+}
+\description{
+A function to sort a vector i an user-defined order
+}
diff --git a/man/summarise_f.Rd b/man/summarise_f.Rd
new file mode 100644
index 0000000..6143934
--- /dev/null
+++ b/man/summarise_f.Rd
@@ -0,0 +1,40 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/func_mult.R
+\name{summarise_f}
+\alias{summarise_f}
+\alias{summarise_f.data.frame}
+\alias{summarise_f.data.table}
+\alias{summarise_f.tbl}
+\alias{summarise_f.grouped_df}
+\title{Reduce multiple values by summarisation functions.}
+\usage{
+summarise_f(.data, ...)
+
+\method{summarise_f}{data.frame}(.data, ...)
+
+\method{summarise_f}{data.table}(.data, ...)
+
+\method{summarise_f}{tbl}(.data, ...)
+
+\method{summarise_f}{grouped_df}(.data, ...)
+}
+\arguments{
+\item{.data}{A data.frame, data.table, or tbl}
+
+\item{...}{Summarisation functions.
+Each of which must return a named list, whose names stand for new variables' names.
+Anonymous functions must be wrapped in parentheses.}
+}
+\value{
+a data.frame, data.table, or a tbl
+}
+\description{
+Create variables summarising exisiting variables, by using summarisation function.
+}
+\examples{
+df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
+
+df \%>\%
+dplyr::group_by(foo) \%>\%
+summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
+}

From 4345564f67649c38ec05a2f637b1174940a65f71 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Wed, 18 Dec 2019 17:31:06 +0700
Subject: [PATCH 035/193] Fix bugs in logist_summary, now work with
 environment-typed data

---
 R/logist_summary.R | 65 +++++++++++++++++++++++++++++++++++-----------
 1 file changed, 50 insertions(+), 15 deletions(-)

diff --git a/R/logist_summary.R b/R/logist_summary.R
index db37dda..15de8a0 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -69,7 +69,7 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
     explicit_model <- explicit_form$model
     explicit_meta <- explicit_form$meta
     lr.test <- data.frame(drop1(explicit_model, test='Chisq'))[-1,c("Df","Pr..Chi.")]
-    rownames(lr.test) <- recode(rownames(lr.test), !!!explicit_meta$names)
+    rownames(lr.test) <- dplyr::recode(rownames(lr.test), !!!explicit_meta$names)
     p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
     names(p.value) <- 'p.value'
     row_order <- factor(rownames(result), levels = rownames(result))
@@ -126,12 +126,21 @@ explicit.lm <- function(fit){
 
 
 ._explicit_lm <- function(fit, meta = FALSE){
+  # browser()
   ia <- ._get_interaction_terms(fit)
   ia.vars <- ia$ia.vars
   ia.terms <- ia$ia.terms
   fit.term_labels <- attr(terms(formula(fit)),"term.labels")
   # fit_data <- model.frame(fit)
-  fit_data <- as.data.frame(fit$data)
+  # fit_data <- merge(as.data.frame(eval(attr(terms(fit), 'variables'))), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE)
+  # fit_data <- merge(as.data.frame(fit$data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE)
+  fit_data <-
+    if (is.environment(fit$data)){
+      as.environment(c(as.list(fit$data), as.list(fit$model)))
+    } else {
+      as.environment(merge(as.data.frame(fit$data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE))
+    }
+
 
   nonia.vars <- unique(fit.term_labels[!fit.term_labels %in% unlist(c(ia.vars, ia.terms))])
 
@@ -141,8 +150,17 @@ explicit.lm <- function(fit){
   dummy_vars <- ._create_dummy(fit_data, names(var.classes)[!var.classes %in% c('numeric', 'other')])
   dummy_cols <- purrr::flatten(dummy_vars)
   dummy_cols.names <- sapply(dummy_vars, names, simplify = FALSE)
-  explicit_data <- if (length(dummy_cols)) cbind(fit_data, dummy_cols) else fit_data
+  explicit_data <- if (length(dummy_cols)) as.environment(c(as.list(fit_data), as.list(dummy_cols))) else fit_data
 
+  ._quote_vars <- function(vars){
+    sapply(vars,
+           function(.vars){
+             sapply(.vars,
+                    function(.var){
+                      paste0('`',.var,'`')
+                    }, simplify = FALSE)
+           }, simplify = FALSE)
+  }
   # browser()
   ia.vars_dummy <-
     sapply(ia.vars,
@@ -156,18 +174,22 @@ explicit.lm <- function(fit){
                     }, simplify = FALSE)
            }, simplify = FALSE)
 
+  ia.vars_dummy.quoted <- ._quote_vars(ia.vars_dummy)
+
   nonia.vars_dummy <-
     sapply(nonia.vars,
            function(nonia.var){
              sapply(nonia.var,
                     function(niv){
                       if (niv %in% names(dummy_cols.names))
-                        dummy_cols.names[[niv]]
+                       dummy_cols.names[[niv]]
                       else
                         niv
                     }, simplify = FALSE)
            }, simplify = FALSE)
 
+  nonia.vars_dummy.quoted <- ._quote_vars(nonia.vars_dummy)
+
   ia.vars_dummy.interactTerms <-
     sapply(ia.vars_dummy,
            function(ia.var){
@@ -175,12 +197,31 @@ explicit.lm <- function(fit){
              return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = ' * '), ')'))
            }, simplify = FALSE)
 
+  ia.vars_dummy.interactTerms.quoted <-
+    sapply(ia.vars_dummy.quoted,
+           function(ia.var){
+             expand_matrix <- expand.grid(ia.var)
+             return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = ' * '), ')'))
+           }, simplify = FALSE)
+
   ia.vars_dummy.allTerms <-
-    sapply(names(ia.vars_dummy),
-           function(i) c(ia.vars_dummy[[i]], interaction = ia.vars_dummy.interactTerms[[i]]),
+    sapply(names(ia.vars_dummy.quoted),
+           function(i) c(ia.vars_dummy.quoted[[i]], interaction = ia.vars_dummy.interactTerms.quoted[[i]]),
            simplify = FALSE)
 
-  vars_dummy.allTerms <- c(nonia.vars_dummy, ia.vars_dummy.allTerms)
+  vars_dummy.allTerms <- c(nonia.vars_dummy.quoted, ia.vars_dummy.allTerms)
+
+  # browser()
+  all_terms.fml <- as.formula(
+    paste0('~',
+           paste(unique(unlist(vars_dummy.allTerms)), collapse = '+'))
+  )
+
+  parent.env(explicit_data) <- parent.frame()
+  # assign(deparse(fit$call$data), explicit_data)
+  # explicit_model <- get(deparse(fit$call$data)) %>% update(fit, all_terms.fml, data = .)
+  explicit_model <- update(fit, all_terms.fml, data = explicit_data)
+  explicit_model$call$data <- fit$call$data
 
   if (meta){
     # browser()
@@ -197,18 +238,11 @@ explicit.lm <- function(fit){
       ))
 
     all_var.names <- unlist(c(nonia.vars_dummy, ia_vars.names))
-    names(all_var.names) <- unlist(vars_dummy.allTerms)
+    names(all_var.names) <- unlist(attr(terms(all_terms.fml), 'term.labels'))
   }
 
-
-  # browser()
-  all_terms.fml <- as.formula(
-    paste0('~',
-           paste(unique(unlist(vars_dummy.allTerms)), collapse = '+'))
-  )
   # browser()
 
-  explicit_model <- update(fit, all_terms.fml, data = explicit_data)
   if (meta) return(list(model = explicit_model, meta = list(names = all_var.names)))
   return(explicit_model)
 }
@@ -224,6 +258,7 @@ explicit.lm <- function(fit){
 }
 
 ._create_dummy <- function(data, cols){
+  # browser()
   sapply(
     cols,
     function(.col){

From 6c1a208a9eac8d6d8109e7efab76bb838956a18b Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 19 Dec 2019 09:53:52 +0700
Subject: [PATCH 036/193] Add support for new data

---
 R/logist_summary.R | 19 ++++++++++++-------
 man/explicit.lm.Rd |  2 +-
 2 files changed, 13 insertions(+), 8 deletions(-)

diff --git a/R/logist_summary.R b/R/logist_summary.R
index 15de8a0..5ed2802 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -105,7 +105,7 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
 #' @param x An object
 #' @seealso \link{explicit.lm}
 #' @export
-explicit <- function(x){
+explicit <- function(x, ...){
   UseMethod('explicit')
 }
 
@@ -120,26 +120,31 @@ explicit <- function(x){
 #' @return A model with explicit formula
 #' @seealso \link[stats]{add1}
 #' @export
-explicit.lm <- function(fit){
-  ._explicit_lm(fit, meta = FALSE)
+explicit.lm <- function(fit, data = NULL){
+  new_fit <- ._explicit_lm(fit, data = data, meta = FALSE)
+  if (length(data)) new_fit$call$data <- rlang::sym(deparse(substitute(data)))
+  new_fit
 }
 
 
-._explicit_lm <- function(fit, meta = FALSE){
+._explicit_lm <- function(fit, data = NULL,  meta = FALSE){
   # browser()
   ia <- ._get_interaction_terms(fit)
   ia.vars <- ia$ia.vars
   ia.terms <- ia$ia.terms
   fit.term_labels <- attr(terms(formula(fit)),"term.labels")
+  if (!length(fit$data) & !length(fit$model) & !length(data))
+    stop('No data found within fit. Please specify data!')
   # fit_data <- model.frame(fit)
   # fit_data <- merge(as.data.frame(eval(attr(terms(fit), 'variables'))), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE)
   # fit_data <- merge(as.data.frame(fit$data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE)
   fit_data <-
-    if (is.environment(fit$data)){
+    if (length(data))
+      as.environment(merge(as.data.frame(data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE))
+    else if (is.environment(fit$data))
       as.environment(c(as.list(fit$data), as.list(fit$model)))
-    } else {
+    else
       as.environment(merge(as.data.frame(fit$data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE))
-    }
 
 
   nonia.vars <- unique(fit.term_labels[!fit.term_labels %in% unlist(c(ia.vars, ia.terms))])
diff --git a/man/explicit.lm.Rd b/man/explicit.lm.Rd
index e5e2f69..b73eb19 100644
--- a/man/explicit.lm.Rd
+++ b/man/explicit.lm.Rd
@@ -4,7 +4,7 @@
 \alias{explicit.lm}
 \title{Transform a model to its explicit form}
 \usage{
-\method{explicit}{lm}(fit)
+\method{explicit}{lm}(fit, data = NULL)
 }
 \arguments{
 \item{fit}{An object of class "lm"}

From a8a104a54b5a283802a675ffc9902bbe7083cdf0 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Tue, 24 Dec 2019 09:48:42 +0700
Subject: [PATCH 037/193] New algorithm for lik.ratio test

---
 R/.gitignore       |   1 +
 R/explicit.R       |  54 ++++++++++++
 R/logist_summary.R | 214 +++------------------------------------------
 3 files changed, 69 insertions(+), 200 deletions(-)
 create mode 100644 R/.gitignore
 create mode 100644 R/explicit.R

diff --git a/R/.gitignore b/R/.gitignore
new file mode 100644
index 0000000..718db98
--- /dev/null
+++ b/R/.gitignore
@@ -0,0 +1 @@
+.depricated.R
diff --git a/R/explicit.R b/R/explicit.R
new file mode 100644
index 0000000..056923e
--- /dev/null
+++ b/R/explicit.R
@@ -0,0 +1,54 @@
+#' Transform an object to its explicit form
+#' @description A function to transform an object to its explicit form if possible
+#' @param x An object
+#' @seealso \link{explicit.lm}
+#' @export
+explicit <- function(x, ...){
+  UseMethod('explicit')
+}
+
+#' Transform a model to its explicit form
+#' @description
+#' A function to transform an lm model formula to its explicit form.
+#' This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
+#' @param fit An object of class "lm"
+#' @examples
+#' iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
+#' explicit(iris.model)
+#' @return A model with explicit formula
+#' @seealso \link[stats]{add1}
+#' @export
+explicit.lm <- function(fit){
+  ._explicit_lm(fit, data = data, .meta = FALSE)
+  # if (length(data)) new_fit$call$data <- rlang::sym(deparse(substitute(data)))
+  # new_fit
+}
+
+._explicit_lm <- function(lm, .meta = FALSE, ...)
+{
+  formula <- formula(lm)
+  mf <- match.call(expand.dots = FALSE)
+  m <- match(c("lm", "data", "weights", "na.action",
+               "offset"), names(mf), 0L)
+  mf <- mf[c(1, m)]
+  mf$drop.unused.levels <- TRUE
+  # browser()
+  mf[[1L]] <- as.name("model.frame")
+  names(mf)[2L] <- "formula"
+  mf <- eval(mf, parent.frame())
+  y <- model.response(mf)
+  x <- model.matrix(lm)
+  new_data <- cbind(mf, model.matrix(lm)[,!colnames(x) %in% c('(Intercept)', colnames(mf))])
+  x_names <- paste0('`', gsub('(^`)|(`$)', '', colnames(x)[-1]), '`')
+  names(x_names) <- colnames(x)[-1]
+  # browser()
+  new_fml <- formula(call('~',
+                          parse(text = paste(x_names,
+                                             collapse = '+'),
+                                keep.source = FALSE)[[1L]]
+                          ))
+  new_lm <- update(lm, new_fml, data = new_data)
+  new_lm$call$data <- lm$call$data
+  if (.meta) attr(new_lm, 'name.map') <- structure(names(x_names), names = unname(x_names))
+  return(new_lm)
+}
diff --git a/R/logist_summary.R b/R/logist_summary.R
index 5ed2802..abd61e3 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -62,26 +62,18 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   has.intercept <- (names(coef(fit))[1]=="(Intercept)")
   any.ia <- any(attr(terms(formula(fit)),"order")>1)
   # browser()
-
-  if (has.intercept)
-    if (any.ia){
-    explicit_form <- ._explicit_lm(fit, meta = TRUE)
-    explicit_model <- explicit_form$model
-    explicit_meta <- explicit_form$meta
-    lr.test <- data.frame(drop1(explicit_model, test='Chisq'))[-1,c("Df","Pr..Chi.")]
-    rownames(lr.test) <- dplyr::recode(rownames(lr.test), !!!explicit_meta$names)
-    p.value <-  lr.test[,"Pr..Chi.", drop = FALSE]
-    names(p.value) <- 'p.value'
-    row_order <- factor(rownames(result), levels = rownames(result))
-    result <- merge(result, p.value, all.x = TRUE, by='row.names')
-    result$Row.names <- factor(result$Row.names, levels = row_order)
-    result <- dplyr::arrange(result, Row.names)
-    rownames(result) <- result$Row.names
-    result <- result[, -1]
-  } else {
-    lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
-    result$p.value <- c(NA,lr.test[,"Pr..Chi."])
-  }
+  logLik.full <- logLik(structure(fit, class = 'glm'))
+  x <- names(coef(fit))
+  y <- model.response(model.frame(fit, drop.unused.levels = TRUE))
+  p <- sapply(seq_along(x), function(i){
+    fit.i <- glm.fit(x = model.matrix(fit)[,-i], y = y, family = binomial())
+    logLik.i <-logLik(structure(fit.i, class = 'glm'))
+    1 - pchisq(2 * (logLik.full - logLik.i), 1)
+  })
+  names(p) <- x
+  result <- merge(result, data.frame(p.value = p), all.x = TRUE, by='row.names')
+  rownames(result) <- result[,'Row.names']
+  result <- result[, -1]
 
   for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
   if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
@@ -100,183 +92,5 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
   # return(result)
 }
 
-#' Transform an object to its explicit form
-#' @description A function to transform an object to its explicit form if possible
-#' @param x An object
-#' @seealso \link{explicit.lm}
-#' @export
-explicit <- function(x, ...){
-  UseMethod('explicit')
-}
-
-#' Transform a model to its explicit form
-#' @description
-#' A function to transform an lm model formula to its explicit form.
-#' This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
-#' @param fit An object of class "lm"
-#' @examples
-#' iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
-#' explicit(iris.model)
-#' @return A model with explicit formula
-#' @seealso \link[stats]{add1}
-#' @export
-explicit.lm <- function(fit, data = NULL){
-  new_fit <- ._explicit_lm(fit, data = data, meta = FALSE)
-  if (length(data)) new_fit$call$data <- rlang::sym(deparse(substitute(data)))
-  new_fit
-}
-
-
-._explicit_lm <- function(fit, data = NULL,  meta = FALSE){
-  # browser()
-  ia <- ._get_interaction_terms(fit)
-  ia.vars <- ia$ia.vars
-  ia.terms <- ia$ia.terms
-  fit.term_labels <- attr(terms(formula(fit)),"term.labels")
-  if (!length(fit$data) & !length(fit$model) & !length(data))
-    stop('No data found within fit. Please specify data!')
-  # fit_data <- model.frame(fit)
-  # fit_data <- merge(as.data.frame(eval(attr(terms(fit), 'variables'))), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE)
-  # fit_data <- merge(as.data.frame(fit$data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE)
-  fit_data <-
-    if (length(data))
-      as.environment(merge(as.data.frame(data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE))
-    else if (is.environment(fit$data))
-      as.environment(c(as.list(fit$data), as.list(fit$model)))
-    else
-      as.environment(merge(as.data.frame(fit$data), as.data.frame(fit$model), all.x = TRUE, all.y = TRUE))
-
-
-  nonia.vars <- unique(fit.term_labels[!fit.term_labels %in% unlist(c(ia.vars, ia.terms))])
-
-  # browser()
-  var.classes <- attr(terms(fit), 'dataClasses')
-  ia.classes <- var.classes[unique(unlist(ia.vars))]
-  dummy_vars <- ._create_dummy(fit_data, names(var.classes)[!var.classes %in% c('numeric', 'other')])
-  dummy_cols <- purrr::flatten(dummy_vars)
-  dummy_cols.names <- sapply(dummy_vars, names, simplify = FALSE)
-  explicit_data <- if (length(dummy_cols)) as.environment(c(as.list(fit_data), as.list(dummy_cols))) else fit_data
-
-  ._quote_vars <- function(vars){
-    sapply(vars,
-           function(.vars){
-             sapply(.vars,
-                    function(.var){
-                      paste0('`',.var,'`')
-                    }, simplify = FALSE)
-           }, simplify = FALSE)
-  }
-  # browser()
-  ia.vars_dummy <-
-    sapply(ia.vars,
-           function(ia.var){
-             sapply(ia.var,
-                    function(iv){
-                      if (iv %in% names(dummy_cols.names))
-                        dummy_cols.names[[iv]]
-                      else
-                        iv
-                    }, simplify = FALSE)
-           }, simplify = FALSE)
-
-  ia.vars_dummy.quoted <- ._quote_vars(ia.vars_dummy)
-
-  nonia.vars_dummy <-
-    sapply(nonia.vars,
-           function(nonia.var){
-             sapply(nonia.var,
-                    function(niv){
-                      if (niv %in% names(dummy_cols.names))
-                       dummy_cols.names[[niv]]
-                      else
-                        niv
-                    }, simplify = FALSE)
-           }, simplify = FALSE)
-
-  nonia.vars_dummy.quoted <- ._quote_vars(nonia.vars_dummy)
-
-  ia.vars_dummy.interactTerms <-
-    sapply(ia.vars_dummy,
-           function(ia.var){
-             expand_matrix <- expand.grid(ia.var)
-             return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = ' * '), ')'))
-           }, simplify = FALSE)
-
-  ia.vars_dummy.interactTerms.quoted <-
-    sapply(ia.vars_dummy.quoted,
-           function(ia.var){
-             expand_matrix <- expand.grid(ia.var)
-             return(paste0('I(', paste(expand_matrix[,1], expand_matrix[,2], sep = ' * '), ')'))
-           }, simplify = FALSE)
-
-  ia.vars_dummy.allTerms <-
-    sapply(names(ia.vars_dummy.quoted),
-           function(i) c(ia.vars_dummy.quoted[[i]], interaction = ia.vars_dummy.interactTerms.quoted[[i]]),
-           simplify = FALSE)
-
-  vars_dummy.allTerms <- c(nonia.vars_dummy.quoted, ia.vars_dummy.allTerms)
-
-  # browser()
-  all_terms.fml <- as.formula(
-    paste0('~',
-           paste(unique(unlist(vars_dummy.allTerms)), collapse = '+'))
-  )
-
-  parent.env(explicit_data) <- parent.frame()
-  # assign(deparse(fit$call$data), explicit_data)
-  # explicit_model <- get(deparse(fit$call$data)) %>% update(fit, all_terms.fml, data = .)
-  explicit_model <- update(fit, all_terms.fml, data = explicit_data)
-  explicit_model$call$data <- fit$call$data
-
-  if (meta){
-    # browser()
-    ia.vars_dummy.interactTerms.beautified <-
-      sapply(ia.vars_dummy,
-             function(ia.var){
-               expand_matrix <- expand.grid(ia.var)
-               return(paste(expand_matrix[,1], expand_matrix[,2], sep = ':'))
-             }, simplify = FALSE)
-
-    ia_vars.names <-
-      unlist(lapply(names(ia.vars_dummy),
-                    function(i) c(ia.vars_dummy[[i]], interaction = ia.vars_dummy.interactTerms.beautified[[i]])
-      ))
-
-    all_var.names <- unlist(c(nonia.vars_dummy, ia_vars.names))
-    names(all_var.names) <- unlist(attr(terms(all_terms.fml), 'term.labels'))
-  }
-
-  # browser()
-
-  if (meta) return(list(model = explicit_model, meta = list(names = all_var.names)))
-  return(explicit_model)
-}
-
-._get_interaction_terms <- function(fit){
-  fml <- formula(fit)
-  ia.terms <- attr(terms(fml),"term.labels")[attr(terms(fml),"order")>1]
-  ia.factors <- attr(terms(fml),"factors")[,ia.terms, drop = FALSE]
-  ia.vars <- sapply(ia.terms,
-                    function(ia.term) rownames(ia.factors)[ia.factors[,ia.term] == 1],
-                    simplify = FALSE)
-  return(list(ia.terms = ia.terms, ia.vars = ia.vars))
-}
-
-._create_dummy <- function(data, cols){
-  # browser()
-  sapply(
-    cols,
-    function(.col){
-      col_data <- as.factor(data[[.col]])
-      col_value <- levels(col_data)[-1]
-      new_cols <-
-        lapply(col_value,
-               function(val){
-                 as.numeric(col_data == val)
-               })
-      names(new_cols) <- paste0(.col, col_value)
-      return(new_cols)
-    }, simplify = FALSE
-  )
-}
-
+# provide a method for family to get the family of glm.fit
+family.list <- function(object,...) object$family

From 5b444165a575476ac20691f7d479da32358edbd3 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 26 Dec 2019 11:57:21 +0700
Subject: [PATCH 038/193] Add subgroup_effect to summarise covariable effect
 within each state of another interacted variable.

---
 .RDataTmp                   | Bin 0 -> 22331392 bytes
 NAMESPACE                   |   3 +
 R/group_effect.R            | 201 ++++++++++++++++++++++++++++++++++++
 R/logist_summary.R          |  16 +++
 R/ssformat.R                |  31 +++++-
 man/as_sstable.Rd           |   5 +-
 man/explicit.Rd             |   4 +-
 man/explicit.lm.Rd          |   4 +-
 man/print.logist_summary.Rd |  22 ++++
 man/subgroup_effect.Rd      |  53 ++++++++++
 10 files changed, 330 insertions(+), 9 deletions(-)
 create mode 100644 .RDataTmp
 create mode 100644 R/group_effect.R
 create mode 100644 man/print.logist_summary.Rd
 create mode 100644 man/subgroup_effect.Rd

diff --git a/.RDataTmp b/.RDataTmp
new file mode 100644
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diff --git a/NAMESPACE b/NAMESPACE
index ac951dc..17056e4 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -5,11 +5,13 @@ S3method(as_sstable,default)
 S3method(as_sstable,list)
 S3method(as_sstable,logist_summary)
 S3method(as_sstable,overlap_summary)
+S3method(as_sstable,subgroup_logist_summary)
 S3method(explicit,lm)
 S3method(mutate_f,data.frame)
 S3method(mutate_f,data.table)
 S3method(mutate_f,grouped_df)
 S3method(mutate_f,tbl)
+S3method(print,logist_summary)
 S3method(print,ss_tbl)
 S3method(ref_lv,factor)
 S3method(simple_recode,data.frame)
@@ -55,6 +57,7 @@ export(sstable.ae)
 export(sstable.baseline)
 export(sstable.survcomp)
 export(sstable.survcomp.subgroup)
+export(subgroup_effect)
 export(summarise_f)
 import(dplyr)
 import(survival)
diff --git a/R/group_effect.R b/R/group_effect.R
new file mode 100644
index 0000000..b4c567b
--- /dev/null
+++ b/R/group_effect.R
@@ -0,0 +1,201 @@
+#' Calculation of covariable effects within each value of another covariable that has interaction
+#' @description This function calculate the OR, CI, an p.value within each value of specified covariable.
+#' @param formula
+#' A formula in the the form of A + B ~ X, where
+#'
+#' - X is the covariable to be concerned. X must be of type factor.
+#' - A, B are the covarables having interaction with X whose effects will be calculated.
+#' If . or blank. All covariables having interaction with X would be included.
+#'
+#' @param model A fitted glm model
+#' @param method
+#' a string whose value is either
+#' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+#' or "wald" for CI and tests based on Wald statistics
+#' @param stat_digits  Number of decimal digits for statistics
+#' @param p_digits Number of decimal digits for the p-values
+#' @param simplify by default, if there is only one variable on each side of the formula and
+#' no LHS is a binary, then the function will combine tables in each state of X to one.
+#' Set to FALSE to avoid this behaviour.
+#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
+#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
+#' @return Under certain circumstances defined in param simplify, a flextable, an sstable,
+#' a data.frame of class 'subgroup_logist_summary',
+#' or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
+#' @author Trinh Dong Huu Khanh
+#' @export
+subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, sstable=FALSE, flextable=FALSE, simplify = TRUE)
+{
+  # browser()
+  method <- match.arg(method)
+  mf <- model.frame(model)
+  all_ia <- ._get_interaction_terms(model)
+  base_var <- formula.tools::rhs.vars(formula)
+  base_lv <- levels(as.factor(mf[[base_var]]))
+  summary_vars <- formula.tools::lhs.vars(formula)
+  assertthat::assert_that(length(base_var) == 1,
+                          msg = 'rhs must be of length 1')
+  ._assert_ia(base_var, all_ia$ia.vars)
+  has_base <- sapply(all_ia$ia.vars, function(ia_var) base_var %in% ia_var)
+  base_ia <- sapply(all_ia, `[`, has_base, simplify = FALSE)
+  summary_vars.auto <-
+    unname(unlist(lapply(base_ia$ia.vars,function(ia.var) ia.var[ia.var != base_var])))
+  if (length(summary_vars) &
+      !(length(summary_vars) == 1 & !length(setdiff(summary_vars, '.'))))
+  {
+    ._assert_ia(summary_vars, summary_vars.auto)
+  } else summary_vars <- summary_vars.auto
+  y <- model.response(mf)
+  # browser()
+  ci.p <- sapply(base_lv, function(lv){
+    new_mf <- mf
+    new_mf[[base_var]] <- relevel(as.factor(new_mf[[base_var]]), ref = lv)
+    new_model <- update(model, data = new_mf)
+    new_mm <- model.matrix(new_model)
+    est <- lapply(summary_vars, function(sv){
+      k <- which(names(new_mf) == sv) - 1
+      iS <- which(attr(new_mm, 'assign') == k)
+      est.sv <- coef(new_model)[iS]
+      names(est.sv) <- colnames(new_mm)[iS]
+      est.sv
+    })
+    if (method == 'lik.ratio'){
+      logLik.full <-logLik(new_model)
+      # browser()
+      ci.lower <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.lower.sv <- suppressMessages(confint(new_model))[iS,1]
+        names(ci.lower.sv) <- colnames(new_mm)[iS]
+        ci.lower.sv
+      })
+      ci.upper <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.upper.sv <- suppressMessages(confint(new_model))[iS,2]
+        names(ci.upper.sv) <- colnames(new_mm)[iS]
+        ci.upper.sv
+      })
+      p <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        p.sv <- sapply(iS, function(i){
+          fit.i <- glm.fit(x = new_mm[, -i], y = y, family = binomial())
+          logLik.i <- logLik(structure(fit.i, class = 'glm'))
+          1 - pchisq(2 * (logLik.full - logLik.i), 1)
+        })
+        names(p.sv) <- colnames(new_mm)[iS]
+        p.sv
+      })
+    } else {
+      ci.lower <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.lower.sv <- suppressMessages(confint.default(new_model))[iS,1]
+        names(ci.lower.sv) <- colnames(new_mm)[iS]
+        ci.lower.sv
+      })
+      ci.upper <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.upper.sv <- suppressMessages(confint.default(new_model))[iS,2]
+        names(ci.upper.sv) <- colnames(new_mm)[iS]
+        ci.upper.sv
+      })
+      ps <- coef(summary(new_model))[, 'Pr(>|z|)']
+      p <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        p.sv <- ps[iS]
+        p.sv
+      })
+    }
+
+    # browser()
+    list(
+      log.OR = do.call(c, as.list(unlist(est))),
+      OR = do.call(c, as.list(exp(unlist(est)))),
+      CI.lower = do.call(c, as.list(unlist(ci.lower))),
+      CI.upper = do.call(c, as.list(unlist(ci.upper))),
+      p.value = do.call(c, as.list(unlist(p))))
+  }, simplify = FALSE)
+  # browser()
+  out <- lapply(ci.p, function(.x) do.call(cbind, .x))
+  out <- sapply(out,
+                function(.out){
+                  for (i in 1:4)
+                    .out[,i] <- formatC(as.numeric(.out[,i]),
+                                        digits = stat_digits, format = 'f')
+                  .out[,'p.value'] <- formatC(as.numeric(.out[,'p.value']),
+                                              p_digits, format = 'f')
+                  .out
+                }, simplify = FALSE)
+  # message('- CI and p-value are based on ',
+  #         switch(method, wald = 'Wald', lik.ratio = 'Likelihood ratio'),
+  #         ' test with 95% level of confidence.')
+  if (all(sapply(out, nrow) == 1) & simplify){
+    message('- Effect table for ', crayon::green(rownames(out[[1]])))
+    grp <- names(out)
+    out <- do.call(rbind, out)
+    rownames(out) <- grp
+    lgs <- ._as_logist_summary(out, method = method, stringsAsFactor = FALSE)
+    class(lgs) <- c('subgroup_logist_summary', class(lgs))
+    attr(lgs, 'base_var') <- base_var
+    attr(lgs, 'summary_vars') <- summary_vars
+    return(lgs)
+  }
+  tbl <- structure(sapply(out, ._as_logist_summary,
+                   method = method, stringsAsFactors = FALSE,
+                   simplify = FALSE),
+            class = 'subgroup_logist_summary',
+            base_var = base_var,
+            summary_vars = summary_vars)
+  if (flextable) sstable <- TRUE
+  if (sstable) return(as_sstable.subgroup_logist_summary(tbl, flextable = flextable))
+  tbl
+}
+
+._get_interaction_terms <- function(fit){
+  fml <- formula(fit)
+  ia.terms <- attr(terms(fml),"term.labels")[attr(terms(fml),"order")>1]
+  ia.factors <- attr(terms(fml),"factors")[,ia.terms, drop = FALSE]
+  ia.vars <- sapply(ia.terms,
+                    function(ia.term) rownames(ia.factors)[ia.factors[,ia.term] == 1],
+                    simplify = FALSE)
+  return(list(ia.terms = ia.terms, ia.vars = ia.vars))
+}
+
+._assert_ia <- function(vars, ia_vars){
+  for (v in vars){
+    assertthat::assert_that(
+      v %in% unique(unlist(ia_vars)),
+      msg = paste(deparse(substitute(v)), 'not exists in interaction terms.')
+    )
+  }
+}
+
+._as_logist_summary <- function(x, method, ...){
+  x <- as.data.frame(x, ...)
+  class(x) <- c('logist_summary', class(x))
+  attr(x, 'method') <- method
+  attr(x, 'footer') <- paste('Note: 95% confidence intervals and p-values are based on', method, 'statistics.')
+  x
+}
+
+print.subgroup_logist_summary <- function(x, ...){
+  if (is.data.frame(x)) NextMethod('print')
+  else {
+    method <- attr(x[[1]], 'method')
+    base_var <- attr(x, 'base_var')
+    cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
+    cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
+    for (i in seq_along(x)){
+      name <- paste0(base_var, ' = ', names(x)[i])
+      this <- cbind(rn = rownames(x[[i]]), x[[i]])
+      colnames(this)[[1]] <- name
+      print.data.frame(this, row.names = FALSE)
+      cat('\n')
+    }
+  }
+  invisible(x)
+}
diff --git a/R/logist_summary.R b/R/logist_summary.R
index abd61e3..f7e938c 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -94,3 +94,19 @@ logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2,
 
 # provide a method for family to get the family of glm.fit
 family.list <- function(object,...) object$family
+
+
+#' Print method for logist_summary
+#' @description Print method for logist_summary table
+#' @param x an object of class logist_summary
+#' @param ... additional params passed to print.data.frame
+#' @return invisibly return itself
+#' @seealso \link{print.data.frame}
+#' @export
+print.logist_summary <- function(x, ...)
+{
+  method <- attr(x, 'method')
+  cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
+  cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
+  print.data.frame(x, ...)
+}
diff --git a/R/ssformat.R b/R/ssformat.R
index 5dd7f2e..1ba9fff 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -117,6 +117,7 @@ ss_format <- function(sstable, header = c(), section = c(), body = c(), template
   if (length(header)) sstable <- ss_header(sstable, rows = header)
   if (length(body)) sstable <- ss_body(sstable, rows = body)
   if (length(section)) sstable <- ss_section(sstable, rows = section)
+  class(sstable) <- c('formatted_sstable', class(sstable))
   sstable
 }
 
@@ -189,7 +190,7 @@ ss_flextable.list <- function(sstable, add_footer = NULL,...){
 ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
   requireNamespace("flextable")
   requireNamespace("officer")
-  sstable <- ss_format(sstable, ..., .guess = TRUE)
+  if (!inherits(sstable, 'formatted_sstable')) sstable <- ss_format(sstable, ..., .guess = TRUE)
   header <- which(grepl("header", rownames(sstable)))
   body <- which(grepl("body", rownames(sstable)))
   section <-  which(grepl("section", rownames(sstable)))
@@ -317,7 +318,7 @@ ss_huxtable.default <- function(sstable, footer = NULL,
                         bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75), wrap = FALSE,...){
   requireNamespace('huxtable')
   if (missing(caption_pos)) caption_pos <- 'bottomcenter' else caption_pos <- match.arg(caption_pos)
-  sstable <- ss_format(sstable, ..., .guess = TRUE)
+  if (!inherits(sstable, 'formatted_sstable')) sstable <- ss_format(sstable, ..., .guess = TRUE)
   header <- which(grepl("header", rownames(sstable)))
   body <- which(grepl("body", rownames(sstable)))
   section <-  which(grepl("section", rownames(sstable)))
@@ -517,8 +518,9 @@ ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
 #' @description A function to coerce objects to a sstable
 #' @param x An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")
 #' @param flextable logical value specifying whether to return a flextable. Default is FALSE
+#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
 #' @param ... additional param passed to \link{ss_flextable}
-#' @return A matrix of class ss_tbl if flextable == FALSE or a flextable
+#' @return A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
 #' @export
 #'
 as_sstable <- function(x,...){
@@ -560,7 +562,6 @@ as_sstable.list <- function(x, flextable = FALSE, ...){
 }
 
 #' @rdname as_sstable
-#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
 #' @export
 as_sstable.logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
   out <- list()
@@ -600,3 +601,25 @@ as_sstable.overlap_summary <- function(x, include_footnote = TRUE, flextable = F
   if (include_footnote) return(out)
   out$table
 }
+
+#' @rdname as_sstable
+#' @export
+as_sstable.subgroup_logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...)
+{
+  tables <- sapply(x, as_sstable, include_footnote = FALSE, ..., simplify = FALSE)
+  footer <- attr(x[[1]], 'footer')
+  first_header <- c('', tables[[1]][1,-1])
+  tables <- lapply(tables, `[`, -1,)
+  headers <- matrix(rep('', length(tables) * ncol(tables[[1]])), ncol = ncol(tables[[1]]))
+  headers[,1] <- paste(attr(x, 'base_var'), '=', names(tables))
+  # browser()
+  table <- do.call(rbind,
+                   lapply(seq_along(tables),
+                          function(i) rbind(headers[i,], tables[[i]])))
+  table <- rbind(first_header, table)
+  sstable <- ss_format(table, header = 1, section = (seq_len(length(tables)) - 1)*(nrow(tables[[1]])+1)+2)
+  if (flextable) return(ss_flextable(sstable, footer = footer))
+  if (include_footnote) return(list(table = sstable, footer = footer))
+  sstable
+}
+
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
index 9fcd61d..64a5a01 100644
--- a/man/as_sstable.Rd
+++ b/man/as_sstable.Rd
@@ -6,6 +6,7 @@
 \alias{as_sstable.list}
 \alias{as_sstable.logist_summary}
 \alias{as_sstable.overlap_summary}
+\alias{as_sstable.subgroup_logist_summary}
 \title{Coerce an object to sstable}
 \usage{
 as_sstable(x, ...)
@@ -17,6 +18,8 @@ as_sstable(x, ...)
 \method{as_sstable}{logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
 
 \method{as_sstable}{overlap_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
+
+\method{as_sstable}{subgroup_logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
 }
 \arguments{
 \item{x}{An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")}
@@ -28,7 +31,7 @@ as_sstable(x, ...)
 \item{include_footnote}{logical value specifying whether to include footnote in the output. Default is FALSE}
 }
 \value{
-A matrix of class ss_tbl if flextable == FALSE or a flextable
+A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
 }
 \description{
 A function to coerce objects to a sstable
diff --git a/man/explicit.Rd b/man/explicit.Rd
index c48b4af..aa939b1 100644
--- a/man/explicit.Rd
+++ b/man/explicit.Rd
@@ -1,10 +1,10 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/logist_summary.R
+% Please edit documentation in R/explicit.R
 \name{explicit}
 \alias{explicit}
 \title{Transform an object to its explicit form}
 \usage{
-explicit(x)
+explicit(x, ...)
 }
 \arguments{
 \item{x}{An object}
diff --git a/man/explicit.lm.Rd b/man/explicit.lm.Rd
index b73eb19..471731b 100644
--- a/man/explicit.lm.Rd
+++ b/man/explicit.lm.Rd
@@ -1,10 +1,10 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/logist_summary.R
+% Please edit documentation in R/explicit.R
 \name{explicit.lm}
 \alias{explicit.lm}
 \title{Transform a model to its explicit form}
 \usage{
-\method{explicit}{lm}(fit, data = NULL)
+\method{explicit}{lm}(fit)
 }
 \arguments{
 \item{fit}{An object of class "lm"}
diff --git a/man/print.logist_summary.Rd b/man/print.logist_summary.Rd
new file mode 100644
index 0000000..e83fd26
--- /dev/null
+++ b/man/print.logist_summary.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logist_summary.R
+\name{print.logist_summary}
+\alias{print.logist_summary}
+\title{Print method for logist_summary}
+\usage{
+\method{print}{logist_summary}(x, ...)
+}
+\arguments{
+\item{x}{an object of class logist_summary}
+
+\item{...}{additional params passed to print.data.frame}
+}
+\value{
+invisibly return itself
+}
+\description{
+Print method for logist_summary table
+}
+\seealso{
+\link{print.data.frame}
+}
diff --git a/man/subgroup_effect.Rd b/man/subgroup_effect.Rd
new file mode 100644
index 0000000..28a910f
--- /dev/null
+++ b/man/subgroup_effect.Rd
@@ -0,0 +1,53 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/group_effect.R
+\name{subgroup_effect}
+\alias{subgroup_effect}
+\title{Calculation of covariable effects within each value of another covariable that has interaction}
+\usage{
+subgroup_effect(
+  formula,
+  model,
+  method = c("lik.ratio", "wald"),
+  stat_digits = 2,
+  p_digits = 4,
+  sstable = FALSE,
+  flextable = FALSE,
+  simplify = TRUE
+)
+}
+\arguments{
+\item{formula}{A formula in the the form of A + B ~ X, where
+
+- X is the covariable to be concerned. X must be of type factor.
+- A, B are the covarables having interaction with X whose effects will be calculated.
+If . or blank. All covariables having interaction with X would be included.}
+
+\item{model}{A fitted glm model}
+
+\item{method}{a string whose value is either
+"lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+or "wald" for CI and tests based on Wald statistics}
+
+\item{stat_digits}{Number of decimal digits for statistics}
+
+\item{p_digits}{Number of decimal digits for the p-values}
+
+\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE}
+
+\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.}
+
+\item{simplify}{by default, if there is only one variable on each side of the formula and
+no LHS is a binary, then the function will combine tables in each state of X to one.
+Set to FALSE to avoid this behaviour.}
+}
+\value{
+Under certain circumstances defined in param simplify, a flextable, an sstable,
+a data.frame of class 'subgroup_logist_summary',
+or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
+}
+\description{
+This function calculate the OR, CI, an p.value within each value of specified covariable.
+}
+\author{
+Trinh Dong Huu Khanh
+}

From 97b9f83a1b5c9fb1bf51cb4e606175bc4515259a Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 26 Dec 2019 12:01:30 +0700
Subject: [PATCH 039/193] remove cached

---
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diff --git a/.Rbuildignore b/.Rbuildignore
deleted file mode 100644
index 91114bf..0000000
--- a/.Rbuildignore
+++ /dev/null
@@ -1,2 +0,0 @@
-^.*\.Rproj$
-^\.Rproj\.user$
diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index 381c7d7..0000000
--- a/.gitignore
+++ /dev/null
@@ -1,5 +0,0 @@
-.Rproj.user
-.Rhistory
-.RData
-.Ruserdata
-R/.depricated.R
diff --git a/C306.Rproj b/C306.Rproj
deleted file mode 100644
index 270314b..0000000
--- a/C306.Rproj
+++ /dev/null
@@ -1,21 +0,0 @@
-Version: 1.0
-
-RestoreWorkspace: Default
-SaveWorkspace: Default
-AlwaysSaveHistory: Default
-
-EnableCodeIndexing: Yes
-UseSpacesForTab: Yes
-NumSpacesForTab: 2
-Encoding: UTF-8
-
-RnwWeave: Sweave
-LaTeX: pdfLaTeX
-
-AutoAppendNewline: Yes
-StripTrailingWhitespace: Yes
-
-BuildType: Package
-PackageUseDevtools: Yes
-PackageInstallArgs: --no-multiarch --with-keep.source
-PackageRoxygenize: rd,collate,namespace
diff --git a/DESCRIPTION b/DESCRIPTION
deleted file mode 100644
index 8703d10..0000000
--- a/DESCRIPTION
+++ /dev/null
@@ -1,42 +0,0 @@
-Package: C306
-Type: Package
-Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.5-201912
-Author: Lam Phung Khanh
-Maintainer@R: 
-    c(
-        person(
-            given = "Khanh Lam",
-            family = "Phung",
-            role = c("author", "maintainer"),
-            email = "phungkhanhlam@gmail.com"),
-        person(
-            given = "Huu Khanh Trinh",
-            family = "Dong"
-            role = "maintainer",
-            email = "trindhk@oucru.org"),
-        person(
-            given = 'Biostatistic Group',
-            role = "maintainer"
-        )
-     )
-Description: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-    Use four spaces when indenting paragraphs within the Description.
-License: The MIT License (MIT)
-Encoding: UTF-8
-LazyData: true
-Depends: data.table
-Imports: lubridate,
-    car,
-    readxl,
-    dplyr,
-    flextable,
-    officer,
-    survival,
-    tidyr,
-    rlang
-RoxygenNote: 7.0.2
-Suggests: knitr,
-    rmarkdown,
-    huxtable
-VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
deleted file mode 100644
index 17056e4..0000000
--- a/NAMESPACE
+++ /dev/null
@@ -1,65 +0,0 @@
-# Generated by roxygen2: do not edit by hand
-
-S3method("ref_lv<-",factor)
-S3method(as_sstable,default)
-S3method(as_sstable,list)
-S3method(as_sstable,logist_summary)
-S3method(as_sstable,overlap_summary)
-S3method(as_sstable,subgroup_logist_summary)
-S3method(explicit,lm)
-S3method(mutate_f,data.frame)
-S3method(mutate_f,data.table)
-S3method(mutate_f,grouped_df)
-S3method(mutate_f,tbl)
-S3method(print,logist_summary)
-S3method(print,ss_tbl)
-S3method(ref_lv,factor)
-S3method(simple_recode,data.frame)
-S3method(simple_recode,default)
-S3method(simple_relevel,data.frame)
-S3method(simple_relevel,default)
-S3method(ss_flextable,default)
-S3method(ss_flextable,list)
-S3method(ss_huxtable,default)
-S3method(ss_huxtable,list)
-S3method(summarise_f,data.frame)
-S3method(summarise_f,data.table)
-S3method(summarise_f,grouped_df)
-S3method(summarise_f,tbl)
-export("ref_lv<-")
-export(as_sstable)
-export(contSummary)
-export(convert.info)
-export(createProject)
-export(explicit)
-export(getlabel)
-export(ht_theme_kable)
-export(ht_theme_markdown)
-export(import.info)
-export(inspect.data)
-export(labAE)
-export(logist_summary)
-export(mutate_f)
-export(myformat.data)
-export(pct)
-export(ref_lv)
-export(simple_recode)
-export(simple_relevel)
-export(simple_sort)
-export(ss_body)
-export(ss_flextable)
-export(ss_format)
-export(ss_header)
-export(ss_huxtable)
-export(ss_section)
-export(ss_template)
-export(sstable.ae)
-export(sstable.baseline)
-export(sstable.survcomp)
-export(sstable.survcomp.subgroup)
-export(subgroup_effect)
-export(summarise_f)
-import(dplyr)
-import(survival)
-import(tidyr)
-importFrom(data.table,":=")
diff --git a/R/.depricated.R b/R/.depricated.R
deleted file mode 100644
index a55163e..0000000
--- a/R/.depricated.R
+++ /dev/null
@@ -1,82 +0,0 @@
-
-
-
-._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
-  any.ia <- any(attr(terms(formula(fit)),"order")>1)
-  if (any.ia){
-    message('Interaction terms detected. Using the explicit form.')
-    return(._lik.ratio_summary(explicit(fit), stat_digits = stat_digits, p_digits = p_digits, verbose = verbose))
-  }
-
-  est <- coef(fit)
-  ci <- suppressMessages(confint(fit))
-  result <- data.frame(log.OR = est, OR = exp(est),
-                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
-
-  has.intercept <- (names(coef(fit))[1]=="(Intercept)")
-  lr.test <- data.frame(drop1(fit,test="Chisq"))[-1,c("Df","Pr..Chi.")]
-
-  if (has.intercept) result$p.value <- c(NA,lr.test[,"Pr..Chi."])
-
-  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
-  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
-  result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
-  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
-  if (verbose) {
-    cat("\nNote: 95% confidence intervals and p-values are based on likelihood ratio statistics.\n\n")
-    if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
-  }
-  return(result)
-}
-
-#' Create new variables as-is
-#'
-#' @description A function to create new variable(s) based on existing ones.
-#' @param .data A data.frame or tbl
-#' @param ... Relevant columns involved in the calculation of new variables and is matched by fun
-#' @param fun A function returning a named list of new variables. Element names will serve as new columns' names.
-#' @return a data.frame or a tbl
-#' @examples
-#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
-#'
-#' df %>%
-#' dplyr::group_by(foo) %>%
-#' mutate_asis(foo, baz, fun = function(foo, baz) return(list(a = cumsum(baz), b = baz*2)))
-mutate_asis <- function(.data, ..., fun)
-{
-  # fun <- rlang::enquo(fun)
-  dots <- lapply(rlang::enquos(...), rlang::quo_get_expr)
-  group_names <- dplyr::group_vars(.data)
-  .data %>%
-    dplyr::group_modify(
-      function(.x, .y){
-        data_tbl <- data.table::as.data.table(.x)
-        # browser()
-        expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, fun(!!!dots)]))
-        data_tbl <- rlang::eval_tidy(expr)
-        new_cols <- names(data_tbl)[!names(data_tbl) %in% group_names]
-        cbind(.x, as.data.frame(data_tbl)[,new_cols])
-      }
-    )
-}
-
-
-mutate_asis <- function(.data, .fun)
-{
-  .fun <- rlang::quo_get_expr(rlang::enquo(.fun))
-  # dots <- lapply(rlang::enquos(...), rlang::quo_get_expr)
-  group_names <- dplyr::group_vars(.data)
-  browser()
-  .data %>%
-    dplyr::group_modify(
-      function(.x, .y){
-        data_tbl <- data.table::as.data.table(.x)
-        # browser()
-        expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, !!.fun]))
-        data_tbl <- rlang::eval_tidy(expr)
-        new_cols <- names(data_tbl)[!names(data_tbl) %in% group_names]
-        cbind(.x, as.data.frame(data_tbl)[,new_cols])
-      }
-    )
-}
-
diff --git a/R/.gitignore b/R/.gitignore
deleted file mode 100644
index 718db98..0000000
--- a/R/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-.depricated.R
diff --git a/R/OUCRU_data_dictionary.R b/R/OUCRU_data_dictionary.R
deleted file mode 100644
index 6cd9853..0000000
--- a/R/OUCRU_data_dictionary.R
+++ /dev/null
@@ -1,112 +0,0 @@
-
-# import OUCRU data dictionary --------------------------------------------
-
-#' Import OUCRU's data dictionary into R
-#'
-#' @description A function to import OUCRU's data dictionary into R.
-#'
-#' @param table_name a character vector specifies names of Excel sheets (in OUCRU's data dictionary) to be imported.
-#' @param input a character value specifies path to the OUCRU's data dictionary file (in Excel format).
-#' @param output a character value specifies where to save imported data.
-#'
-#' @return Nothing (imported data will be saved in the pre-defined output directory)
-#' @export
-import.info <- function(table_name, input, output) {
-  requireNamespace("readxl")
-
-  ### get all available sheets
-  crfs <- readxl::read_excel(path = input, sheet = "CRFs")
-  ### check Grids table
-  input_sheet <- readxl::excel_sheets(input)
-  grid_id <- grep(pattern = "grids", x = input_sheet, ignore.case = TRUE)
-  if (length(grid_id) > 0) {
-    grids <- readxl::read_excel(path = input, sheet = grid_id)
-    sheet_grid <- grids$sheet_grid <- with(grids, paste(CRF, Grid, sep = "_"))
-  } else {
-    sheet_grid <- NULL
-  }
-  sheet_final <- intersect(unique(c(crfs$CRF, sheet_grid)),
-                           table_name)
-
-  ### import
-  #### no-grid sheets
-  for (i in sheet_final[!sheet_final %in% sheet_grid] ) {
-    assign(paste(i, "info", sep = "_"),
-           subset(readxl::read_excel(path = input, sheet = i), (!`Data type` %in% "Title")))
-  }
-  #### grid sheets
-  #browser()
-  if (!is.null(sheet_grid)) {
-    grids <- grids[grids$sheet_grid %in% sheet_final, ]
-    for (i in (1:nrow(grids))) {
-      tmp <- rbind(subset(get(paste(grids$CRF[i], "info", sep = "_")),
-                          Grid == grids$Grid[i]),
-                   c(paste(grids$CRF[i], grids$Grid[i], "SEQ", sep = "_"), "", "Number", rep("", 5)),
-                   c("USUBJID", "Unique subject id", "Free Text", rep("", 5)))
-      assign(paste(grids$CRF[i], grids$Grid[i], "info", sep = "_"),
-             tmp)
-    }
-  }
-  #### all info-sheet names
-  sheet_info_name <- paste(sheet_final, "info", sep = "_")
-
-  ### save
-  save(list = c(sheet_info_name, "sheet_info_name"), file = output)
-}
-
-# convert OUCRU’s data dictionary to a general data dictionary -----------------
-
-#' Convert imported OUCRU's data dictionary into a general data dictionary
-#'
-#' @description A function to convert imported OUCRU's data dictionary into a general data dictionary.
-#'
-#' @param oucru_info a data frame contains imported data of a sheet from OUCRU's data dictionary.
-#' @param oucru_category a data frame specifies how categorical variables are coded in OUCRU's database.
-#'
-#' @return A data frame contains data dictionary information in a general format.
-#' @import dplyr
-#' @export
-convert.info <- function(oucru_info, oucru_category) {
-  requireNamespace("dplyr")
-  requireNamespace("car")
-
-  ## get value & level for factors
-  cat_tmp <- distinct(oucru_category) %>%
-    rename(Category = category) %>%
-    mutate(submissionvalue = ifelse(is.na(suppressWarnings(as.numeric(submissionvalue))),
-                                    paste0("'", submissionvalue, "'", sep = ""),
-                                    submissionvalue),
-           text = paste0("'", gsub(pattern = "=", replacement = " equal ",
-                                   x = gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
-                                            x = gsub(pattern = ";", replacement = ",", x = text))), "'")) %>%
-    group_by(Category) %>%
-    summarise(value = paste(submissionvalue, text, sep = "=", collapse = ";"),
-              level = paste(text, collapse = ";")) %>%
-    ungroup()
-
-  ## convert
-  output <- merge(oucru_info, cat_tmp, by = "Category", all.x = TRUE) %>%
-    mutate(Format = tolower(Format)) %>%
-    transmute(varname = Variable,
-              label   = Caption,
-              type    = car::Recode(`Data type`,
-                               recodes = "c('Category', 'ExCategory', 'RadioList') = 'factor';
-                               c('Free Text', 'Title', 'CombinedKey', 'Time', 'Check', 'Other') = 'character';
-                               c('EDateTime', 'SDateTime', 'DateTime', 'DateTime2', 'DateTime3') = 'datetime';
-                               c('Integer', 'Float', 'Number') = 'numeric';
-                               else = NA"),
-              unit    = NA,
-              value   = ifelse(is.na(type), NA,
-                               ifelse(type == "factor", value,
-                                      ifelse(type == "character", NA,
-                                             ifelse(type == "datetime" & Format %in% c("dd/mm/yy"), "ymd_hms",
-                                                    ifelse(type == "datetime" & Format %in% c("hh:mm"), "ymd_hms",
-                                                           ifelse(type == "numeric", NA, NA)))))),
-              levels  = ifelse(is.na(type), NA,
-                               ifelse(type != "factor", NA, level)),
-              missing = NA,
-              scale = NA,
-              condition = NA,
-              strict = "Yes")
-  return(subset(output, !is.na(varname)))
-}
diff --git a/R/checking.R b/R/checking.R
deleted file mode 100644
index 61c2f8b..0000000
--- a/R/checking.R
+++ /dev/null
@@ -1,174 +0,0 @@
-
-# find, match and correct variable names ----------------------------------
-
-find_match_correct_var <- function(x, realvar) {
-  if (is.atomic(x) || is.name(x)) {
-    x
-  } else {
-    if (is.call(x)) {
-      if (identical(x[[1]], quote(`==`)) | identical(x[[1]], quote(`is.na`)) | identical(x[[1]], quote(`%in%`)) | identical(x[[1]], quote(`as.numeric`))) {
-        id <- na.omit(match(tolower(x[[2]]), tolower(realvar)))
-        if (length(id) > 0) {
-          x[[2]] <- parse(text = realvar[id])[[1]]
-          x
-        }
-      } else {
-        as.call(lapply(x, find_match_correct_var, realvar = realvar))
-      }
-    } else {
-      as.call(lapply(x, find_match_correct_var, realvar = realvar))
-    }
-  }
-}
-
-find_match_correct_var_final <- function(cond, realvar) {
-  out <- deparse(find_match_correct_var(parse(text = cond)[[1]], realvar = realvar), width.cutoff = 500L)
-  return(gsub(pattern = "[\"]", replacement = "'", x = out))
-}
-
-
-# check data --------------------------------------------------------------
-
-#' Check formatted data based on a pre-defined information
-#'
-#' @description A function to check a formatted data frame based on a pre-defined information.
-#'
-#' @param data a formatted data frame to be checked.
-#' @param info a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable), condition (character variable specifies conditional checking), strict (a character variable [Yes, No] specifies whether missing data should be checked for each variable).
-#' @param id a character specifies name of subject id variable.
-#' @param check_missing a logical value specifies whether missing data should be checked.
-#' @param plot a logical value specifies whether plot (bar plot for categorical variables, boxplot for continuous variables) should be produced.
-#' @param prefix a character to be appended as prefix of all output files.
-#' @param outdir a character specifies where to save output files.
-#'
-#' @return A data frame lists all identified potential data errors.
-#' @export
-inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot = FALSE, prefix = "", outdir) {
-  requireNamespace("lubridate")
-  if (missing(outdir))
-    outdir <- "."
-  data <- data[, names(data)[tolower(names(data)) %in% tolower(info$varname)]]
-  info <- info[match(tolower(names(data)), tolower(info$varname)), ]
-
-  if (missing(check_missing) | (!missing(check_missing) & check_missing == TRUE)) {
-    info$check_missing <- TRUE
-
-    if ("strict" %in% names(info)) {
-      info$check_missing <- ifelse(info$strict == "Yes", TRUE, FALSE)
-    }
-  }
-  else {
-    info$check_missing <- FALSE
-  }
-  #browser()
-  output <- do.call("rbind",
-                    lapply(X = 1:ncol(data),
-                           FUN = function(x) {
-                             tmpdata <- data[, x]
-                             if ("condition" %in% names(info)) {
-                               if (!is.na(info$condition[x])) {
-                                 ## match variable name is condition
-                                 tmpcondition <- find_match_correct_var_final(cond = info$condition[x], realvar = names(data))
-                                 tmpdata <- eval(parse(text = paste0("subset(data,", tmpcondition, ")[, x]")))
-                               }
-                             }
-                             inspect.each(x = tmpdata,
-                                          varname = info$varname[x],
-                                          value = info$value[x],
-                                          type = info$type[x],
-                                          check_missing = info$check_missing[x])
-                           }))
-
-  if (!missing(id) & !is.null(output)) {
-    output[, id] <- paste("\"=\"\"", as.character(data[output$index,
-                                                       id]), "\"\"\"", sep = "")
-    output <- output[, c(id, "index", "error")]
-  }
-
-  if (plot) {
-    pdf(file = file.path(outdir, paste(prefix, "distribution.pdf",
-                                       sep = "_")), width = 12, height = 10, family = "Helvetica",
-        fonts = NULL, paper = "a4r")
-    layout(matrix(c(1:12), ncol = 4, nrow = 3, byrow = TRUE),
-           respect = TRUE)
-    N <- nrow(data)
-    for (i in (1:length(info$varname))) {
-      tmpdata <- data[, names(data)[tolower(names(data)) == tolower(info$varname[i])]]
-      tmplabel <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
-                              x = info$label[i]), start = 1, stop = 30)
-      if (length(na.omit(tmpdata)) == 0) {
-        plot(x = 1:10, y = 1:10,
-             main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ")", sep = ""),
-             type = "n", xlab = "", ylab = "")
-        text(x = 5, y = 5, labels = "No non-missing value")
-      }
-      else {
-        nNA <- sum(is.na(tmpdata))
-        if (mode(tmpdata) != "numeric" |
-            is.factor(tmpdata)) {
-          x <- barplot(table(tmpdata),
-                       main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""),
-                       xaxt = "n")
-          labs <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
-                              x = names(table(tmpdata))), start = 1, stop = 10)
-          text(cex = 1, x = x, y = 0, labs, xpd = TRUE, srt = 45, adj = 1)
-        }
-        else {
-          if (lubridate::is.POSIXct(tmpdata)) {
-            boxplot(as.Date(tmpdata),
-                    main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""))
-          }
-          else {
-            boxplot(tmpdata,
-                    main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""))
-          }
-        }
-      }
-    }
-    dev.off()
-  }
-  if (!is.null(output)) {
-    write.csv(output, file = file.path(outdir, paste(prefix,
-                                                     "error.csv", sep = "_")), quote = FALSE, row.names = FALSE)
-    return(output)
-  }
-  else {
-    cat("No error was found !")
-  }
-}
-
-inspect.each <- function (x, varname, type, value = NA, check_missing = TRUE) {
-  tmp <- NULL
-  if (check_missing) {
-    if (anyNA(x) | any(as.character(x) == "")) {
-      tmp <- rbind(tmp, data.frame(index = which(is.na(x) |
-                                                   as.character(x) == ""), error = paste("Missing value for",
-                                                                                         varname)))
-    }
-  }
-  if (type == "numeric" & (!is.na(value) & value != "")) {
-    range <- as.numeric(unlist(strsplit(value, split = ";")))
-    if (any(x < range[1] & !is.na(x))) {
-      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
-                                                   x < range[1]), error = paste("Out of range:",
-                                                                                varname, "<", range[1])))
-    }
-    if (any(x > range[2] & !is.na(x))) {
-      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
-                                                   x > range[2]), error = paste("Out of range:",
-                                                                                varname, ">", range[2])))
-    }
-  }
-  if (type == "factor" & !is.na(value)) {
-    range <- sapply(unlist(strsplit(value, split = ";")),
-                    function(x) gsub("[']", "", unlist(strsplit(x, split = "="))[2]),
-                    USE.NAMES = FALSE)
-    if (any(!x %in% range & !is.na(x))) {
-      xx <- x[!is.na(x) & !x %in% range]
-      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
-                                                   !x %in% range), error = paste("Out of range:",
-                                                                                 varname, "=", xx)))
-    }
-  }
-  return(tmp)
-}
diff --git a/R/createProject.R b/R/createProject.R
deleted file mode 100644
index d23b6d5..0000000
--- a/R/createProject.R
+++ /dev/null
@@ -1,27 +0,0 @@
-#' Create project's folder based on pre-defined folder structure
-#'
-#' @description A generic function to create a project's folder based on pre-defined folder structure.
-#'
-#' @param dir a character specifies where to create the project's folder.
-#' @param structure a character specifies the pre-defined folder structure to be used.
-#'
-#' @return A message to confirm that the project's folder is created at the designed place.
-#' @export
-createProject <- function(dir, structure = c("OUCRU_RCT_wInterim")){
-  ## to create project directory
-  ## initial version: 23 July 2015
-
-  if (length(structure) > 1) {structure <- "OUCRU_RCT_wInterim"}
-
-  ## create destination folder
-  dir.create(dir)
-
-  ## copy folder structure into destination folder
-  file.copy(from = file.path(system.file(package = "C306"), "structure", structure, "."),
-            to = dir, recursive = TRUE)
-  file.rename(from = file.path(dir, "OUCRU_RCT_wInterim.Rproj"), to = file.path(dir, paste0(basename(dir), ".Rproj")))
-
-  # inform
-  cat(paste("Project", basename(dir), "was created in", dirname(dir), "\n", sep = " "))
-}
-
diff --git a/R/explicit.R b/R/explicit.R
deleted file mode 100644
index 056923e..0000000
--- a/R/explicit.R
+++ /dev/null
@@ -1,54 +0,0 @@
-#' Transform an object to its explicit form
-#' @description A function to transform an object to its explicit form if possible
-#' @param x An object
-#' @seealso \link{explicit.lm}
-#' @export
-explicit <- function(x, ...){
-  UseMethod('explicit')
-}
-
-#' Transform a model to its explicit form
-#' @description
-#' A function to transform an lm model formula to its explicit form.
-#' This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
-#' @param fit An object of class "lm"
-#' @examples
-#' iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
-#' explicit(iris.model)
-#' @return A model with explicit formula
-#' @seealso \link[stats]{add1}
-#' @export
-explicit.lm <- function(fit){
-  ._explicit_lm(fit, data = data, .meta = FALSE)
-  # if (length(data)) new_fit$call$data <- rlang::sym(deparse(substitute(data)))
-  # new_fit
-}
-
-._explicit_lm <- function(lm, .meta = FALSE, ...)
-{
-  formula <- formula(lm)
-  mf <- match.call(expand.dots = FALSE)
-  m <- match(c("lm", "data", "weights", "na.action",
-               "offset"), names(mf), 0L)
-  mf <- mf[c(1, m)]
-  mf$drop.unused.levels <- TRUE
-  # browser()
-  mf[[1L]] <- as.name("model.frame")
-  names(mf)[2L] <- "formula"
-  mf <- eval(mf, parent.frame())
-  y <- model.response(mf)
-  x <- model.matrix(lm)
-  new_data <- cbind(mf, model.matrix(lm)[,!colnames(x) %in% c('(Intercept)', colnames(mf))])
-  x_names <- paste0('`', gsub('(^`)|(`$)', '', colnames(x)[-1]), '`')
-  names(x_names) <- colnames(x)[-1]
-  # browser()
-  new_fml <- formula(call('~',
-                          parse(text = paste(x_names,
-                                             collapse = '+'),
-                                keep.source = FALSE)[[1L]]
-                          ))
-  new_lm <- update(lm, new_fml, data = new_data)
-  new_lm$call$data <- lm$call$data
-  if (.meta) attr(new_lm, 'name.map') <- structure(names(x_names), names = unname(x_names))
-  return(new_lm)
-}
diff --git a/R/formating.R b/R/formating.R
deleted file mode 100644
index 7259b96..0000000
--- a/R/formating.R
+++ /dev/null
@@ -1,106 +0,0 @@
-#' Format data based on pre-defined information
-#'
-#' @description A function to format each variable in data frame based on pre-defined information.
-#'
-#' @param data a data frame contains variables to be formatted
-#' @param info a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable).
-#'
-#' @return a data frame with variables are formatted according information specified in info
-#' @export
-myformat.data <- function(data, info){
-  # info should have these columns
-  #- varname: name of variables
-  #- label: label of variables
-  #- type: type of variables (numeric, factor, character, datetime)
-  #- unit: units of variables
-  #- value: values of variables (format of datetime variables/values of categorical variables)
-  #- levels: order of levels of categorical variables
-  #- missing: coding for missing values
-
-  ## recognize variable in data
-  allvars <- tolower(names(data))
-  flag <- names(data)[tolower(names(data)) %in% tolower(na.omit(info$varname))]
-  if (length(flag) == 0){stop("No variable in this data present in info !!!")}
-  info <- info[na.omit(match(tolower(flag), tolower(info$varname))),]
-
-  ## select variables mentioned in info
-  tmp <- data[, flag]
-
-  ## if scale & center are missing --> using NA
-  if (!"scale" %in% names(info)){info$scale <- NA}
-  if (!"center" %in% names(info)){info$center <- NA}
-
-  ## set type to lower case and no space
-  info$type <- gsub(" ", "", tolower(info$type))
-
-  ## perform formating
-  return(data.frame(mapply(myformat.each,
-                           x = as.list(tmp),
-                           label = info$label,
-                           type = info$type,
-                           unit = info$unit,
-                           scale = info$scale,
-                           center = info$center,
-                           value = info$value,
-                           levels = info$levels,
-                           missing = info$missing,
-                           SIMPLIFY = FALSE),
-                    stringsAsFactors = FALSE))
-}
-
-myformat.each <- function(x, label = NA, type, unit = NA, scale = NA, center = NA, value = NA, levels = NA, missing = NA){
-  type <- tolower(type)
-  ## missing data
-  if (!is.na(missing)){
-    missing <- gsub("['']", "", unlist(strsplit(as.character(missing), split = ";")))
-    for (i in missing) x[x == i] <- NA
-  }
-
-  ## check type
-  if (!type %in% c("numeric", "datetime", "character", "factor")){
-    stop("This type of data is not implemented yet !!!")
-  }
-
-  ## numeric data
-  if (type == "numeric"){
-    tmp <- as.numeric(x)
-    tmp <- structure(tmp,
-                     label = ifelse(is.na(label), "", label),
-                     unit = ifelse(is.na(unit), "", unit),
-                     scale = ifelse(is.na(scale), 1, scale),
-                     center = ifelse(is.na(center), 0, center))
-  }
-
-  ## datetime data
-  if (type == "datetime"){
-    requireNamespace("lubridate")
-    tmp <- eval(parse(text = paste("lubridate::", value, "(as.character(x))", sep = "")))
-    tmp <- structure(tmp, label = ifelse(is.na(label), "", label))
-  }
-
-  ## character data
-  if (type == "character"){
-    x[x == ""] <- NA
-    if (is.na(value)){tmp <- as.character(as.vector(x))} else {
-      requireNamespace("car")
-      tmp <- as.character(car::Recode(var = x, recodes = value, as.factor = FALSE))
-      tmp <- structure(tmp, label = ifelse(is.na(label), "", label))
-    }
-  }
-
-  ## factor data
-  if (type == "factor"){
-    requireNamespace("car")
-    #browser()
-    if (is.na(levels)|levels == ""){
-      tmp <- car::Recode(var = x, recodes = value, as.factor = TRUE)
-    } else {
-      tmp <- car::Recode(var = x, recodes = value, as.factor = TRUE,
-                         levels = gsub("['']", "", unlist(strsplit(levels, split = ";"))))
-    }
-    tmp <- structure(tmp, label = ifelse(is.na(label), "", label))
-  }
-
-  ## return
-  return(tmp)
-}
diff --git a/R/func_mult.R b/R/func_mult.R
deleted file mode 100644
index c59f467..0000000
--- a/R/func_mult.R
+++ /dev/null
@@ -1,113 +0,0 @@
-#' Create or transform variables, with support for multiple assignment
-#'
-#' @description A function to create new variable(s) based on existing ones.
-#' @param .data A data.frame, data.table, or tbl
-#' @param ... Name-value pairs of expressions, following data.table syntax: "new_col" := expression.
-#' Multiple assignments can be done via c("new_col1", "new_col2") := expression_returning_a_list.
-#'
-#' If unnamed, names of each list elements will be used
-#' @return a data.frame, data.table, or a tbl
-#' @examples
-#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
-#'
-#' df %>%
-#' dplyr::group_by(foo) %>%
-#' mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
-#' @importFrom data.table :=
-#' @export
-mutate_f <- function(.data, ...){
-  UseMethod('mutate_f')
-}
-
-#' @rdname mutate_f
-#' @export
-mutate_f.data.table <- function(.data, ...){
-  dt_out <- mutate_f.data.frame(.data, ...)
-  setDT(dt_out)
-  dt_out
-}
-
-#' @rdname mutate_f
-#' @export
-mutate_f.tbl <- function(.data, ...){
-  dt_out <- mutate_f.data.frame(.data, ...)
-  dt_out <- tibble::as_tibble(dt_out)
-  dt_out
-}
-
-#' @rdname mutate_f
-#' @export
-mutate_f.grouped_df <- function(.data, ...){
-  dt_out <- mutate_f.data.frame(.data, ...)
-  group_names <- dplyr::group_vars(.data)
-  dplyr::group_by_at(dt_out, dplyr::vars(!!!{{group_names}}))
-}
-
-#' @rdname mutate_f
-#' @export
-mutate_f.data.frame <- function(.data, ...){
-  group_names <- dplyr::group_vars(.data)
-  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
-  data_tbl <- data_tbl[, ..., by = group_names]
-  new_cols <- names(data_tbl)[!names(data_tbl) %in% union(group_names, names(.data))]
-  data_tbl <- cbind(as.data.frame(.data), as.data.frame(data_tbl)[,new_cols])
-  data_tbl
-}
-
-#########################################################
-
-#' Reduce multiple values by summarisation functions.
-#'
-#' @description Create variables summarising exisiting variables, by using summarisation function.
-#' @param .data A data.frame, data.table, or tbl
-#' @param ... Summarisation functions.
-#' Each of which must return a named list, whose names stand for new variables' names.
-#' Anonymous functions must be wrapped in parentheses.
-#'
-#' @return a data.frame, data.table, or a tbl
-#' @examples
-#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
-#'
-#' df %>%
-#' dplyr::group_by(foo) %>%
-#' summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
-#' @importFrom data.table :=
-#' @export
-summarise_f <- summarize_f <- function(.data, ...){
-  UseMethod('summarise_f')
-}
-
-#' @rdname summarise_f
-#' @export
-summarise_f.data.frame <- function(.data, ...){
-  # browser()
-  .fun <- lapply(rlang::enquos(...), rlang::quo_get_expr)
-  group_names <- dplyr::group_vars(.data)
-  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
-  expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, c(!!!.fun), by = group_names]))
-  rlang::eval_tidy(expr)
-}
-
-#' @rdname summarise_f
-#' @export
-summarise_f.data.table <- function(.data, ...){
-  dt_out <- summarise_f.data.frame(.data, ...)
-  setDT(dt_out)
-  dt_out
-}
-
-#' @rdname summarise_f
-#' @export
-summarise_f.tbl <- function(.data, ...){
-  dt_out <- summarise_f.data.frame(.data, ...)
-  dt_out <- tibble::as_tibble(dt_out)
-  dt_out
-}
-
-#' @rdname summarise_f
-#' @export
-summarise_f.grouped_df <- function(.data, ...){
-  dt_out <- summarise_f.data.frame(.data, ...)
-  group_names <- dplyr::group_vars(.data)
-  dplyr::group_by_at(dt_out, dplyr::vars(!!!{{group_names}}))
-}
diff --git a/R/getlabel.R b/R/getlabel.R
deleted file mode 100644
index 8f0808c..0000000
--- a/R/getlabel.R
+++ /dev/null
@@ -1,104 +0,0 @@
-#' Obtain label of variable(s) based on metadata information
-#'
-#' @description A function to obtain label of one vector or each variable in one data frame based on pre-defined metadata information.
-#'
-#' @param x a vector or data frame to get label.
-#' @param meta a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).
-#' @param unit a logical value specifies whether unit will be appendded in the label of continous variables.
-#' @param fit a logical value specifies whether the label will use presentation as in model fitting.
-#'
-#' @return vector of character of label
-#' @export
-getlabel <- function(x, meta = NULL, unit = TRUE, fit = FALSE){
-  if (is.null(dim(x))) {
-    getlabel.one(x, meta = meta, unit = unit, fit = fit)
-  } else {
-    getlabel.data(x, meta = meta, unit = unit, fit = fit)
-  }
-}
-
-getlabel.default <- function(x, unit = TRUE, fit = FALSE){
-  if (is.null(attr(x, "type"))) attr(x, "type") <- ""
-  if (is.null(attr(x, "label"))) attr(x, "label") <- ""
-
-  # to create polished label
-  if ((is.factor(x) | attr(x, 'type') == 'factor') | unit == FALSE) {
-    # if factor or do not need unit
-    as.character(attr(x, 'label'))
-  } else {
-    # if not factor and need unit
-    new_unit <- ifelse(fit == FALSE, ifelse(is.null(attr(x, 'unit')), '', attr(x, 'unit')),
-                       paste('+',
-                             ifelse(is.null(attr(x, 'scale')), 1, attr(x, 'scale')),
-                             ' ',
-                             ifelse(is.null(attr(x, 'unit')), '', attr(x, 'unit')), sep = ''))
-    ifelse(new_unit == "",
-           as.character(attr(x, 'label')),
-           as.character(paste(attr(x, 'label'), ' [', new_unit, ']', sep = '')))
-
-  }
-}
-
-getlabel.one <- function(x, meta = NULL, unit = TRUE, fit = FALSE){
-  # to create polished label for variable x from meta information
-
-  if (!is.null(meta)) {
-    # extract meta info
-    .label <- ifelse(is.na(meta$label[meta$varname == x]), '', meta$label[meta$varname == x])
-    .unit <- ifelse(is.na(meta$unit[meta$varname == x]), '', meta$unit[meta$varname == x])
-    .scale <- ifelse(is.na(meta$scale[meta$varname == x]), 1, meta$scale[meta$varname == x])
-    .type <- meta$type[meta$varname == x]
-
-    # create label
-    if (.type == 'factor' | unit == FALSE) {
-      # if factor or do not need unit
-      out <- as.character(.label)
-    } else {
-      # if not factor and need unit
-      new_unit <- ifelse(fit == FALSE, .unit, paste('+', .scale, ' ', .unit, sep = ''))
-      out <- as.character(paste(.label, ' [', new_unit, ']', sep = ''))
-    }
-  } else {
-    # if no meta information
-    out <- getlabel.default(x, unit = unit, fit = fit)
-  }
-
-  # return
-  out
-}
-
-getlabel.data <- function(data, meta = NULL, unit = TRUE, fit = FALSE){
-  # to create polished label for variables in data frame data from meta information
-
-  out <- names(data)
-
-  if (!is.null(meta)) {
-    namedat <- merge(data.frame(varname = out), meta, by = 'varname', all.x = TRUE)
-
-    # extract meta info
-    namedat <- transform(.label = ifelse(is.na(label), varname, label),
-                         .unit = ifelse(is.na(unit), '', unit),
-                         .scale = ifelse(is.na(scale),  1, scale))
-
-    # create label
-    if (unit == FALSE) {
-      out <- as.character(namedat$.label)
-    } else {
-      if (fit) {namedat$.unit <- with(namedat, paste('+', .scale, ' ', .unit, sep = ''))}
-      out <- with(namedat, ifelse(type == 'factor', as.character(.label), as.character(paste0(.label, ' [', .unit, ']'))))
-    }
-  } else {
-    if (ncol(data) == 1) {
-      out <- getlabel.default(data)
-    } else {
-      out <- sapply(data, getlabel.default)
-    }
-    if (any(out == "")){
-      tmp <- colnames(data)
-      out <- ifelse(out == "", tmp, out)
-    }
-  }
-
-  # return
-  out
-}
diff --git a/R/group_effect.R b/R/group_effect.R
deleted file mode 100644
index b4c567b..0000000
--- a/R/group_effect.R
+++ /dev/null
@@ -1,201 +0,0 @@
-#' Calculation of covariable effects within each value of another covariable that has interaction
-#' @description This function calculate the OR, CI, an p.value within each value of specified covariable.
-#' @param formula
-#' A formula in the the form of A + B ~ X, where
-#'
-#' - X is the covariable to be concerned. X must be of type factor.
-#' - A, B are the covarables having interaction with X whose effects will be calculated.
-#' If . or blank. All covariables having interaction with X would be included.
-#'
-#' @param model A fitted glm model
-#' @param method
-#' a string whose value is either
-#' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
-#' or "wald" for CI and tests based on Wald statistics
-#' @param stat_digits  Number of decimal digits for statistics
-#' @param p_digits Number of decimal digits for the p-values
-#' @param simplify by default, if there is only one variable on each side of the formula and
-#' no LHS is a binary, then the function will combine tables in each state of X to one.
-#' Set to FALSE to avoid this behaviour.
-#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
-#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
-#' @return Under certain circumstances defined in param simplify, a flextable, an sstable,
-#' a data.frame of class 'subgroup_logist_summary',
-#' or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
-#' @author Trinh Dong Huu Khanh
-#' @export
-subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, sstable=FALSE, flextable=FALSE, simplify = TRUE)
-{
-  # browser()
-  method <- match.arg(method)
-  mf <- model.frame(model)
-  all_ia <- ._get_interaction_terms(model)
-  base_var <- formula.tools::rhs.vars(formula)
-  base_lv <- levels(as.factor(mf[[base_var]]))
-  summary_vars <- formula.tools::lhs.vars(formula)
-  assertthat::assert_that(length(base_var) == 1,
-                          msg = 'rhs must be of length 1')
-  ._assert_ia(base_var, all_ia$ia.vars)
-  has_base <- sapply(all_ia$ia.vars, function(ia_var) base_var %in% ia_var)
-  base_ia <- sapply(all_ia, `[`, has_base, simplify = FALSE)
-  summary_vars.auto <-
-    unname(unlist(lapply(base_ia$ia.vars,function(ia.var) ia.var[ia.var != base_var])))
-  if (length(summary_vars) &
-      !(length(summary_vars) == 1 & !length(setdiff(summary_vars, '.'))))
-  {
-    ._assert_ia(summary_vars, summary_vars.auto)
-  } else summary_vars <- summary_vars.auto
-  y <- model.response(mf)
-  # browser()
-  ci.p <- sapply(base_lv, function(lv){
-    new_mf <- mf
-    new_mf[[base_var]] <- relevel(as.factor(new_mf[[base_var]]), ref = lv)
-    new_model <- update(model, data = new_mf)
-    new_mm <- model.matrix(new_model)
-    est <- lapply(summary_vars, function(sv){
-      k <- which(names(new_mf) == sv) - 1
-      iS <- which(attr(new_mm, 'assign') == k)
-      est.sv <- coef(new_model)[iS]
-      names(est.sv) <- colnames(new_mm)[iS]
-      est.sv
-    })
-    if (method == 'lik.ratio'){
-      logLik.full <-logLik(new_model)
-      # browser()
-      ci.lower <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.lower.sv <- suppressMessages(confint(new_model))[iS,1]
-        names(ci.lower.sv) <- colnames(new_mm)[iS]
-        ci.lower.sv
-      })
-      ci.upper <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.upper.sv <- suppressMessages(confint(new_model))[iS,2]
-        names(ci.upper.sv) <- colnames(new_mm)[iS]
-        ci.upper.sv
-      })
-      p <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        p.sv <- sapply(iS, function(i){
-          fit.i <- glm.fit(x = new_mm[, -i], y = y, family = binomial())
-          logLik.i <- logLik(structure(fit.i, class = 'glm'))
-          1 - pchisq(2 * (logLik.full - logLik.i), 1)
-        })
-        names(p.sv) <- colnames(new_mm)[iS]
-        p.sv
-      })
-    } else {
-      ci.lower <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.lower.sv <- suppressMessages(confint.default(new_model))[iS,1]
-        names(ci.lower.sv) <- colnames(new_mm)[iS]
-        ci.lower.sv
-      })
-      ci.upper <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.upper.sv <- suppressMessages(confint.default(new_model))[iS,2]
-        names(ci.upper.sv) <- colnames(new_mm)[iS]
-        ci.upper.sv
-      })
-      ps <- coef(summary(new_model))[, 'Pr(>|z|)']
-      p <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        p.sv <- ps[iS]
-        p.sv
-      })
-    }
-
-    # browser()
-    list(
-      log.OR = do.call(c, as.list(unlist(est))),
-      OR = do.call(c, as.list(exp(unlist(est)))),
-      CI.lower = do.call(c, as.list(unlist(ci.lower))),
-      CI.upper = do.call(c, as.list(unlist(ci.upper))),
-      p.value = do.call(c, as.list(unlist(p))))
-  }, simplify = FALSE)
-  # browser()
-  out <- lapply(ci.p, function(.x) do.call(cbind, .x))
-  out <- sapply(out,
-                function(.out){
-                  for (i in 1:4)
-                    .out[,i] <- formatC(as.numeric(.out[,i]),
-                                        digits = stat_digits, format = 'f')
-                  .out[,'p.value'] <- formatC(as.numeric(.out[,'p.value']),
-                                              p_digits, format = 'f')
-                  .out
-                }, simplify = FALSE)
-  # message('- CI and p-value are based on ',
-  #         switch(method, wald = 'Wald', lik.ratio = 'Likelihood ratio'),
-  #         ' test with 95% level of confidence.')
-  if (all(sapply(out, nrow) == 1) & simplify){
-    message('- Effect table for ', crayon::green(rownames(out[[1]])))
-    grp <- names(out)
-    out <- do.call(rbind, out)
-    rownames(out) <- grp
-    lgs <- ._as_logist_summary(out, method = method, stringsAsFactor = FALSE)
-    class(lgs) <- c('subgroup_logist_summary', class(lgs))
-    attr(lgs, 'base_var') <- base_var
-    attr(lgs, 'summary_vars') <- summary_vars
-    return(lgs)
-  }
-  tbl <- structure(sapply(out, ._as_logist_summary,
-                   method = method, stringsAsFactors = FALSE,
-                   simplify = FALSE),
-            class = 'subgroup_logist_summary',
-            base_var = base_var,
-            summary_vars = summary_vars)
-  if (flextable) sstable <- TRUE
-  if (sstable) return(as_sstable.subgroup_logist_summary(tbl, flextable = flextable))
-  tbl
-}
-
-._get_interaction_terms <- function(fit){
-  fml <- formula(fit)
-  ia.terms <- attr(terms(fml),"term.labels")[attr(terms(fml),"order")>1]
-  ia.factors <- attr(terms(fml),"factors")[,ia.terms, drop = FALSE]
-  ia.vars <- sapply(ia.terms,
-                    function(ia.term) rownames(ia.factors)[ia.factors[,ia.term] == 1],
-                    simplify = FALSE)
-  return(list(ia.terms = ia.terms, ia.vars = ia.vars))
-}
-
-._assert_ia <- function(vars, ia_vars){
-  for (v in vars){
-    assertthat::assert_that(
-      v %in% unique(unlist(ia_vars)),
-      msg = paste(deparse(substitute(v)), 'not exists in interaction terms.')
-    )
-  }
-}
-
-._as_logist_summary <- function(x, method, ...){
-  x <- as.data.frame(x, ...)
-  class(x) <- c('logist_summary', class(x))
-  attr(x, 'method') <- method
-  attr(x, 'footer') <- paste('Note: 95% confidence intervals and p-values are based on', method, 'statistics.')
-  x
-}
-
-print.subgroup_logist_summary <- function(x, ...){
-  if (is.data.frame(x)) NextMethod('print')
-  else {
-    method <- attr(x[[1]], 'method')
-    base_var <- attr(x, 'base_var')
-    cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
-    cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
-    for (i in seq_along(x)){
-      name <- paste0(base_var, ' = ', names(x)[i])
-      this <- cbind(rn = rownames(x[[i]]), x[[i]])
-      colnames(this)[[1]] <- name
-      print.data.frame(this, row.names = FALSE)
-      cat('\n')
-    }
-  }
-  invisible(x)
-}
diff --git a/R/labAE.R b/R/labAE.R
deleted file mode 100644
index 31ee63d..0000000
--- a/R/labAE.R
+++ /dev/null
@@ -1,15 +0,0 @@
-#' Identify new lab adverse event to report
-#'
-#' @description A function to identify new lab adverse event to report from a vector of consecutive lab adverse event grade.
-#'
-#' @param data a numeric vector of consecutive lab adverse event grade.
-#' @param gradecut a grade threshold to report.
-#'
-#' @return A factor specifies whether new lab adverse event to report is identified or not.
-#' @export
-labAE <- function(data, gradecut){
-  cur <- data; pre <- lag(cur, k = 1)
-  out <- ifelse(is.na(cur), NA,
-                ifelse((is.na(pre) | (!is.na(pre) & (pre < cur))) & (cur >= gradecut), "Yes", "No"))
-  return(factor(out, levels = c("Yes", "No")))
-}
diff --git a/R/logist_summary.R b/R/logist_summary.R
deleted file mode 100644
index f7e938c..0000000
--- a/R/logist_summary.R
+++ /dev/null
@@ -1,112 +0,0 @@
-#' An alternative summary for a logistic model with OR, CI, and p-values
-#' @description a function to create summary table for glm logistic model
-#' @param fit a logistic regression model of class "glm"
-#' @param method
-#' a string whose value is either
-#' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
-#' or "wald" for CI and tests based on Wald statistics
-#' @param stat_digits  Number of decimal digits for statistics
-#' @param p_digits Number of decimal digits for the p-values
-#' @param verbose logical value specifying whether to print out result and notation. Default is FALSE
-#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
-#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
-#' Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}
-#' @param ... additional params passed to \link{ss_flextable}
-#' @author Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
-#' @seealso \link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
-#' @return A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
-#' @export
-logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE,
-                           sstable = FALSE, flextable = FALSE, ...){
-  compatible <- FALSE
-  if (length(fit$family)) {
-    if ((fit$family$family=='binomial')|(fit$family$link=='logit')) compatible <- TRUE
-  }
-  # browser()
-  if (!compatible) stop("This function only works for logistic regression.")
-  method <- match.arg(method)
-  if (flextable) sstable <- TRUE
-  if (sstable) verbose <- FALSE
-
-  summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
-  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
-
-  out <- structure(result_obj$table, footer = result_obj$footer, method = method, class = c('logist_summary','data.frame'))
-  if (sstable) return(as_sstable.logist_summary(out, flextable = flextable))
-  if (verbose) return(invisible(print(out)))
-  return(out)
-}
-
-._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
-  est <- coef(fit)
-  ci <- suppressMessages(confint.default(fit))
-  result <- data.frame(log.OR = est, OR = exp(est),
-                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]), p.value = summary(fit)$coef[,"Pr(>|z|)"])
-  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
-  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
-  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
-  if (verbose){
-    cat("\nNote: 95% confidence intervals and p-values are based on Wald statistics.\n\n",
-        "\n(Inference based on likelihood ratio statistics can be obtained with logist.summary(",deparse(substitute(obj)),") and is usually more accurate.\n)",sep="")
-  }
-  return(list(table = result,
-              footer = "Note: 95% confidence intervals and p-values are based on Wald statistics."))
-}
-
-._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE, sstable = FALSE){
-  est <- coef(fit)
-  ci <- suppressMessages(confint(fit))
-  result <- data.frame(log.OR = est, OR = exp(est),
-                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
-
-  has.intercept <- (names(coef(fit))[1]=="(Intercept)")
-  any.ia <- any(attr(terms(formula(fit)),"order")>1)
-  # browser()
-  logLik.full <- logLik(structure(fit, class = 'glm'))
-  x <- names(coef(fit))
-  y <- model.response(model.frame(fit, drop.unused.levels = TRUE))
-  p <- sapply(seq_along(x), function(i){
-    fit.i <- glm.fit(x = model.matrix(fit)[,-i], y = y, family = binomial())
-    logLik.i <-logLik(structure(fit.i, class = 'glm'))
-    1 - pchisq(2 * (logLik.full - logLik.i), 1)
-  })
-  names(p) <- x
-  result <- merge(result, data.frame(p.value = p), all.x = TRUE, by='row.names')
-  rownames(result) <- result[,'Row.names']
-  result <- result[, -1]
-
-  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
-  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
-  result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
-  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
-  if (verbose) {
-    cat("\nNote: 95% confidence intervals and p-values are based on likelihood ratio statistics.\n\n")
-    if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
-  }
-
-  return(list(table = result,
-              footer = c(
-                "Note: 95% confidence intervals and p-values are based on likelihood ratio statistics.",
-                if (!has.intercept)
-                  "p-values of LR-tests not calculated because model has no intercept.")))
-  # return(result)
-}
-
-# provide a method for family to get the family of glm.fit
-family.list <- function(object,...) object$family
-
-
-#' Print method for logist_summary
-#' @description Print method for logist_summary table
-#' @param x an object of class logist_summary
-#' @param ... additional params passed to print.data.frame
-#' @return invisibly return itself
-#' @seealso \link{print.data.frame}
-#' @export
-print.logist_summary <- function(x, ...)
-{
-  method <- attr(x, 'method')
-  cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
-  cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
-  print.data.frame(x, ...)
-}
diff --git a/R/simple_relevel.R b/R/simple_relevel.R
deleted file mode 100644
index b8824ca..0000000
--- a/R/simple_relevel.R
+++ /dev/null
@@ -1,95 +0,0 @@
-#' Relevel in correspondence to another factor
-#'
-#' @description Function to relevel a variable in accordance to a another variable of class "factor".
-#' @return An object of the same class as the input
-#' @export
-simple_relevel <- function(x, ...){
-  UseMethod('simple_relevel')
-}
-
-#' @rdname simple_relevel
-#'
-#' @param data A data.frame
-#' @param by A vector or unquoted variable name the relevelling process will base on
-#' @param ... Unquoted variable names that will be relevelled
-#' @export
-simple_relevel.data.frame <- function(data, ..., by){
-  #... variables to relevel
-  # by: variable that is based on
-  require(dplyr)
-  requireNamespace('rlang')
-  dep.vars <- rlang::enquos(...)
-  dep.vars.2 <- sapply(dep.vars, function(dep.var) rlang::quo_name(dep.var))
-  by <- rlang::enquo(by)
-  by.2 <- rlang::quo_name(by)
-  # browser()
-  if (!is.factor(data[[by.2]])) data[[by.2]] <- as.factor(data[[by.2]])
-  for(i in seq_along(dep.vars.2)){
-    # browser()
-    dep.var.2 <- dep.vars.2[[i]]
-    dep.var <- dep.vars[[i]]
-    isolated.data <-
-      data[c(by.2, dep.var.2)] %>%
-      unique() %>% #remove all dup
-      arrange({{dep.var}}) %>% arrange({{by}})# first, sort the data by dep.var to retain prev levels, second by "by"
-    dep.var.lv <- isolated.data[[dep.var.2]]
-    # browser()
-    data[[dep.var.2]] <- factor(data[[dep.var.2]], levels = dep.var.lv)
-  }
-  data
-}
-
-#' @rdname simple_relevel
-#'
-#' @param x a vector that will be relevelled
-#' @param by a vector that the relevelling process will base on
-#' @param map a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
-#' or a data.frame with two columns "from" and "to" serving the same purpose.
-#' @param value a string: whether to return
-#'
-#' - "levels": new levels only
-#'
-#' - "unsorted" (default): an unsorted, relevelled factor
-#'
-#' - "sorted": a sorted, relevelled factor
-#' @return A factor or a numeric vector of order
-#' @export
-simple_relevel.default <- function(x, by, map, value = c('unsorted', 'sorted', 'levels')){
-  requireNamespace('dplyr')
-  value <- match.arg(value)
-  if (!is.data.frame(map)){
-    map <- do.call(rbind,
-                   lapply(seq_along(map),
-                          function(i){
-                            .map <- map[i]
-                            name <- names(.map)
-                            data.frame(from = rep(name, length(map[[i]])), to = map[[i]])
-                          }))
-  }
-  # browser()
-  stopifnot(setequal(unique(x), map$to))
-  stopifnot(setequal(unique(by), map$from))
-  map$from <- factor(map$from, levels = levels(by))
-  X <- data.frame(to = x)
-  data <- merge(X, map, by = 'to', all.x = TRUE)
-  to <- simple_relevel.data.frame(data, to, by = from)$to
-  if (value == 'sorted') return(to)
-  lv <- levels(to)
-  if (value == 'levels') return(lv)
-  factor(x, levels = lv)
-}
-
-#' Sort a vector in a user-defined order
-#' @description A function to sort a vector i an user-defined order
-#' @param x A vector to be sorted
-#' @param order A manually defined order vector
-#' @return A vector
-#' @export
-simple_sort <- function(x, order = levels(as.factor(x))){
-  stopifnot(length(order) == length(unique(x)))
-  x_factor <- factor(x, levels = order)
-  x_sort <- sort(x_factor)
-  x_retrieve <- as(levels(x_sort), typeof(x))[x_sort]
-  attributes(x_retrieve) <- attributes(x)
-  x_retrieve
-}
diff --git a/R/ssformat.R b/R/ssformat.R
deleted file mode 100644
index 1ba9fff..0000000
--- a/R/ssformat.R
+++ /dev/null
@@ -1,625 +0,0 @@
-## Quick sstable drawing helpers
-## Author: trinhdhk
-## Day first written: Sep 20 2019
-## Latest build: Sep 27 2019
-## Ver 0.1.0.092019
-
-## Check legitibility
-ss_legit <- function(sstable){
-  requireNamespace('tibble')
-  if (!is.matrix(sstable) & !is.data.frame(sstable)) stop('sstable must be of type matrix or data frame.')
-  return(as.matrix(sstable))
-}
-#' Set template for sstable
-#'
-#' @description This function set the template for sstable
-#' @param sstable a data frame following sstable's grammar
-#' @param template
-#' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
-#'
-#' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
-#' @return a matrix of class ss_tbl
-#' @export
-ss_template <- function(sstable, template =  c('baseline', 'survcomp', 'ae')){
-  sstable <- ss_legit(sstable)
-  ss.class <- class(sstable)
-  if (missing(template)) template <- NA
-  if (!is.na(template)) template <- match.arg(template)
-  if (is.na(template)){
-    template <- c('baseline', 'survcomp', 'ae')
-    template.match <- match(template, ss.class)
-    template.match <- template.match[!is.na(template.match)]
-    if (length(template.match) > 1) template.match <- template.match[[1]]
-    template <- template[template.match]
-  }
-
-  template <- paste0(template, '_tbl')
-  class(sstable) <- unique(c(template, 'ss_tbl', 'matrix', class(sstable)))
-  return(sstable)
-}
-
-#' Designation of header rows for custom sstable
-#'
-#' @description This function set the designated rows as header rows of a sstable
-#' @param sstable a data frame following sstable's grammar
-#' @param rows a numeric vector
-#' @return a matrix of class ss_tbl
-#' @export
-ss_header <- function(sstable, rows) {
-  sstable <- ss_legit(sstable)
-  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
-  rownames(sstable)[rows] <- paste("header", seq_along(rows), sep=".")
-  ss_table <- ss_template(sstable, template = NA)
-  sstable
-}
-
-#' Designation of body part for custom sstable
-#'
-#' @description This function set the designated rows as body part of a sstable
-#' @param sstable a data frame following sstable's grammar
-#' @param rows a numeric vector
-#' @return a matrix of class ss_tbl
-#' @export
-ss_body <- function(sstable, rows){
-  sstable <- ss_legit(sstable)
-  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
-  rownames(sstable)[rows] <- paste("body", seq_along(rows), sep=".")
-  ss_table <- ss_template(sstable, template = NA)
-  sstable
-}
-
-#' Designation of section title rows for custom sstable
-#'
-#' @description This function set the designated rows as section title rows of an sstable
-#' @param sstable a data frame following sstable's grammar
-#' @param rows a numeric vector
-#' @return a matrix of class ss_tbl
-#' @export
-ss_section <- function(sstable, rows){
-  sstable <- ss_legit(sstable)
-  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
-  rownames(sstable)[rows] <- paste("section", seq_along(rows), sep=".")
-  ss_table <- ss_template(sstable, template = NA)
-  sstable
-}
-
-#' Quick format a sstable in preparation for create flextable/huxtable
-#'
-#' @description This function is the combination of ss_header, ss_body, and ss_section.
-#' @param sstable a data frame following sstable's grammar
-#' @param header a numeric vector that will be passed to ss_header
-#' @param section a numeric vector that will be passed to ss_section
-#' @param body a numeric vector that will be passed to ss_body
-#' @param template
-#' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
-#'
-#' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
-#' @param .guess a logical value. If TRUE, the function will try to get each row belongs to which part.
-#' @return a matrix of class ss_tbl
-#' @export
-ss_format <- function(sstable, header = c(), section = c(), body = c(), template =  c('baseline', 'survcomp', 'ae'), .guess= TRUE){
-  if (missing(template)) template <- NA
-  if (!is.na(template)) template <- match.arg(template)
-  sstable <- ss_template(sstable, template = template)
-  if (.guess) {
-    no.guess <- na.omit(as.numeric(c(header, section, body)))
-    # filter out from guess what have been defined
-    guess <- ss_guess_format(sstable)
-    h <- which(guess == 'header')
-    s <- which(guess == 'section')
-    b <- which(guess == 'body')
-    # filling the undecided row with auto guess
-    header <- unique(c(h[!h %in% no.guess], header))
-    # if (length(colnames(sstable))) header <- c('colnames', header)
-    section <- unique(c(s[!s %in% no.guess], section))
-    body <- unique(c(b[!b %in% no.guess], body))
-  }
-  if (length(header)) sstable <- ss_header(sstable, rows = header)
-  if (length(body)) sstable <- ss_body(sstable, rows = body)
-  if (length(section)) sstable <- ss_section(sstable, rows = section)
-  class(sstable) <- c('formatted_sstable', class(sstable))
-  sstable
-}
-
-# An incomplete algorithm to guess the format of each sstable row.
-ss_guess_format <- function(sstable){
-  UseMethod('ss_guess_format')
-}
-
-ss_guess_format.default <- function(sstable){
-  guess <- sapply(1:nrow(sstable),
-                  function(i){
-                    r <- sstable[i,]
-                    if (isTRUE(grepl("header", rownames(sstable)[i]))) return("header")
-                    if (all(is.na(suppressWarnings(as.numeric(r)))) && i <= 2) return("header")
-                    if (sum(r == '') == ncol(sstable)-1) return("section")
-                    return("body")
-                  })
-  return(guess)
-}
-
-ss_guess_format.ae_tbl <- function(sstable){
-  guess <- sapply(1:nrow(sstable),
-                  function(i){
-                    if (i <= 2) return('header')
-                    r <- sstable[i, ]
-                    if (sum(r == '') >= 2) return('section')
-                    return('body')
-                  })
-  return(guess)
-}
-
-ss_guess_format.baseline_tbl <- function(sstable){
-  guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
-  return(guess)
-}
-
-ss_guess_format.survcomp_tbl <- function(sstable){
-  guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
-  return(guess)
-}
-
-ss_guess_format.summary_tbl <- function(sstable){
-  guess <- c('header', rep('body', nrow(sstable)-1))
-  return(guess)
-}
-
-#' Create summary table using flextable package.
-#'
-#' @description This function generate a flextable from a sstable.
-#' @param sstable a data frame following sstable's grammar
-#' @param footer a character vector each of which is the footnote of the flextable
-#' @param bg a character string that defines stripped background color of the flextable
-#' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
-#' @seealso \link[flextable]{flextable}
-#' @return an object of class flextable
-#' @export
-ss_flextable <- function(sstable, ...){
-  UseMethod('ss_flextable')
-}
-
-#' @rdname ss_flextable
-#' @param add_footer additional footer lines to be appended to object footers
-#' @export
-ss_flextable.list <- function(sstable, add_footer = NULL,...){
-  ss_flextable(sstable$table, footer = c(sstable$footer, add_footer), ...)
-}
-
-#' @rdname ss_flextable
-#' @export
-ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
-  requireNamespace("flextable")
-  requireNamespace("officer")
-  if (!inherits(sstable, 'formatted_sstable')) sstable <- ss_format(sstable, ..., .guess = TRUE)
-  header <- which(grepl("header", rownames(sstable)))
-  body <- which(grepl("body", rownames(sstable)))
-  section <-  which(grepl("section", rownames(sstable)))
-
-  colnames(sstable) <- NULL
-  sstable <- as.data.frame(sstable, stringsAsFactors = FALSE)
-  col.even <- ncol(sstable) %% 2 == 0
-
-  ## headers
-  ss.header <- sstable[header,]
-  names(ss.header) <- colnames(sstable)
-  # browser()
-
-  ss.header2 <-
-      lapply(seq_along(header),
-             function(i){
-               h <- ss.header[i, ]
-               if (col.even) col <- 2:(ncol(sstable)-1)
-               else col <- 2:ncol(sstable)
-               right_fill <- h[[max(col)]] != "" & h[[1]] == ""
-
-               h <- sapply(seq_along(h),
-                      function(j){
-                        if (h[[j]] == "") {
-                          if (j == ncol(sstable) && i>1) return(ss.header[i-1,j])
-                          if (j == 1){
-                            if (i > 1) return(ss.header[i-1,j]) #lag 1 row
-                            return(h[[j]]) #return ""
-                          }
-                          if (right_fill) return(h[[j+1]])
-                          return(h[[j-1]])
-                        }
-                        return(h[[j]])
-                      })
-               names(h) <- paste0('V',1:ncol(sstable))
-               return(h)
-             }
-    )
-  # browser()
-
-  ## Create the flextable
-  ft <- flextable::flextable(sstable[-header,, drop = FALSE])
-  # browser()
-
-  ## header format
-  ft <- flextable::set_header_labels(ft, values = ss.header2[[1]])
-  if (length(ss.header2) > 1)
-    for (i in seq_along(ss.header2)[-1])
-      ft <- flextable::add_header_row(ft, values = ss.header2[[i]], top = F)
-
-  ft <- flextable::merge_h(ft, part = "header")
-  ft <- flextable::merge_v(ft, part = "header")
-
-  ## footer format
-  for (k in (seq_along(footer))) {
-    ft <- flextable::add_footer(ft, V1 = footer[k], top = FALSE)
-    ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = "footer")
-  }
-
-  ## section format
-  for (k in section){
-    ft <- flextable::bold(ft, i = k-length(header), j = 1:ncol(sstable), part = 'body')
-    ### merging cells that from the left if the whole row is empty
-    if (all(sstable[k, -1] == ''))
-      ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = 'body')
-  }
-
-  ## format flextable
-  ## width
-  ft <- flextable::autofit(ft)
-  ### alignment
-  ft <- flextable::align(ft, j = 1, align = "left", part = "all")
-  ### faces of header
-  ft <- flextable::bold(ft, part = "header")
-  ### background
-  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(sstable[-header,]), by = 2), j = 1:length(ss.header2[[1]]),
-                      bg = bg, part = "body")
-  ### border
-  tabbd <- officer::fp_border(color="black", width = 1.5)
-  ft <- flextable::border_remove(ft)
-  ft <- flextable::hline(ft, border = tabbd, part = "header")
-  ft <- flextable::hline_top(ft, border = tabbd, part = "all")
-  ft <- flextable::hline_bottom(ft, border = tabbd, part = "body")
-  return(ft)
-}
-
-#' Create summary table using huxtable package.
-#'
-#' @description This function generate a huxtable from a sstable.
-#' @param sstable a data frame following sstable's grammar
-#' @param footer a character vector each of which is the footnote of the flextable
-#' @param caption a string containing table caption. Default is NULL
-#' @param caption_pos
-#' A length-one character vector,
-#' one of "top", "bottom", "topleft", "topcenter", "topright", "bottomleft", "bottomcenter", "bottomright".
-#' Default is "bottomcenter".
-#'
-#' See also \link[huxtable]{caption_pos}
-#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
-#' @param border_width a number that defines huxtable border width
-#' @param border_color a character string that defines huxtable border color
-#' @param wrap a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
-#' This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
-#' See also \link[huxtable]{wrap}
-#' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
-#' @return an object of class huxtable
-#' @seealso \link[huxtable]{huxtable}
-#' @export
-ss_huxtable <- function(sstable,...){
-  UseMethod('ss_huxtable')
-}
-
-#' @rdname ss_huxtable
-#' @param add_footer additional footer lines to be appended to object footers
-#' @export
-ss_huxtable.list <- function(sstable, add_footer = NULL,...){
-  ss_huxtable(sstable$table, footer = c(sstable$footer, add_footer), ...)
-}
-
-#' @rdname ss_huxtable
-#' @export
-ss_huxtable.default <- function(sstable, footer = NULL,
-                        caption = NULL, caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
-                                                        "bottomleft", "bottomcenter", "bottomright"),
-                        bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75), wrap = FALSE,...){
-  requireNamespace('huxtable')
-  if (missing(caption_pos)) caption_pos <- 'bottomcenter' else caption_pos <- match.arg(caption_pos)
-  if (!inherits(sstable, 'formatted_sstable')) sstable <- ss_format(sstable, ..., .guess = TRUE)
-  header <- which(grepl("header", rownames(sstable)))
-  body <- which(grepl("body", rownames(sstable)))
-  section <-  which(grepl("section", rownames(sstable)))
-
-  colnames(sstable) <- NULL
-  sstable <- as.data.frame(sstable, stringsAsFactors = FALSE)
-  col.even <- ncol(sstable) %% 2 == 0
-
-  ## headers pre-processing
-  ss.header <- sstable[header,]
-  names(ss.header) <- colnames(sstable)
-  # browser()
-
-  ss.header2 <-
-    lapply(seq_along(header),
-           function(i){
-             h <- ss.header[i, ]
-             if (col.even) col <- 2:(ncol(sstable)-1)
-             else col <- 2:ncol(sstable)
-             right_fill <- h[[max(col)]] != "" & h[[2]] == ""
-
-             h <- sapply(seq_along(h),
-                         function(j){
-                           if (h[[j]] == "") {
-                             if (j == ncol(sstable) && i>1) return(ss.header[i-1,j])
-                             if (j == 1){
-                               if (i > 1) return(ss.header[i-1,j]) #lag 1 row
-                               return(h[[j]]) #return ""
-                             }
-                             if (right_fill) return(h[[j+1]])
-                             return(h[[j-1]])
-                           }
-                           return(h[[j]])
-                         })
-             return(h)
-           }
-    )
-
-  sstable.headless <- sstable[-header,]
-  colnames(sstable.headless) <- ss.header2[[length(ss.header2)]]
-
-  ## create table
-  ht <- huxtable::as_hux(sstable.headless, add_colnames = TRUE, add_rownames = FALSE)
-
-  ## insert header
-  if (nrow(ss.header)>1){
-    for (i in seq_along(ss.header2)[-length(ss.header2)]){
-      ht <- huxtable::insert_row(ht, ss.header2[[i]])
-    }
-  }
-
-  ## format header
-  # browser()
-
-  # merge cols that have same values
-  for (i in seq_along(ss.header2)){
-    which.start <- 1
-    for (j in seq_along(ss.header2[[i]])){
-      if (j > 1){
-        if (ss.header2[[i]][[j]] != ss.header2[[i]][[j-1]])  which.start <- c(which.start, j)
-      }
-      ht <- huxtable::set_align(ht, i, j, value = 'center')
-    }
-
-    which.start <- sort(unique(c(which.start, ncol(sstable)+1)))
-
-    for (k in seq_along(which.start)){
-      if (k < length(which.start) & which.start[k+1] - which.start[k] > 1){
-        ht <- huxtable::merge_cells(ht, i, which.start[k]:(which.start[k+1]-1))
-      }
-    }
-  }
-  # merge rows that have same values
-  for (i in 1:ncol(sstable)){
-    which.start <- 1
-    for (j in seq_along(ss.header2)){
-      if (j > 1){
-        if (ss.header2[[j]][[i]] != ss.header2[[j-1]][[i]]) which.start <- c(which.start, j)
-      }
-    }
-
-    which.start <- sort(unique(c(which.start, length(ss.header2)+1)))
-
-    for (k in seq_along(which.start)){
-      if (k < length(which.start) & which.start[k+1] - which.start[k] > 1){
-        ht <- huxtable::merge_cells(ht, which.start[k]:(which.start[k+1]-1), i)
-      }
-    }
-  }
-
-  ## format sections
-  for (i in section){
-    ht <- huxtable::set_bold(ht, i, huxtable::everywhere, value = TRUE)
-    ### merging cells that from the left if the whole row is empty
-    if (all(sstable[i, -1] == ''))
-      ht <- huxtable::merge_cells(ht, i, huxtable::everywhere)
-  }
-
-  ## footer
-  for (i in seq_along(footer)){
-    ht <- huxtable::add_footnote(ht, footer[i], border = if (i>1) 0 else border_width)
-  }
-
-  ## caption
-  if (length(caption)){
-    huxtable::caption(ht) <- caption
-    huxtable::caption_pos(ht) <- caption_pos
-  }
-
-  ## format huxtable
-  ht <- huxtable::set_width(ht, 1)
-
-  ht <- ht_theme_markdown(ht, header_rows = header, header_cols = NULL,
-                          border_width = border_width,
-                          border_color = border_color,
-                          bg = bg)
-
-  ## format wrapping
-  huxtable::wrap(ht) <- wrap
-
-  return(ht)
-}
-
-
-#' A stripe theme for huxtable object
-#'
-#' @description This function provides a stripped theme for huxtable object
-#' @param ht an object of class huxtable
-#' @param header_rows a numeric vector that delimits the header zone.
-#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
-#' @param border_width a number that defines huxtable border width
-#' @param border_color a character string that defines huxtable border color
-#' @return an object of class huxtable
-#' @export
-ht_theme_markdown <- function(ht, header_rows = 1:2, header_cols = NULL,
-                              border_width=0.8, border_color = grey(0.75), bg = c(grey(.95),'white')){
-  huxtable::top_border(ht)[1, ] <- border_width
-  huxtable::bottom_border(ht)[nrow(ht),] <- border_width
-
-  for (header_row in header_rows){
-    huxtable::bold(ht)[header_row, ] <- TRUE
-  }
-
-  huxtable::bottom_border(ht)[max(header_rows), ] <- border_width
-  huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width
-
-  for (header_col in header_cols){
-    huxtable::bold(ht)[, header_col] <- TRUE
-  }
-  ht <- huxtable::set_all_border_colors(ht, border_color)
-  if (length(bg > 1)) ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, as.list(bg)))
-  else huxtable::background_color(ht) <- bg
-  ht
-}
-
-#' A kable-esque theme for huxtable object
-#'
-#' @description This function provides a kable-esque theme for huxtable object
-#' @param ht an object of class huxtable
-#' @param header_rows a numeric vector that delimits the header zone.
-#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
-#' @param border_width a number that defines huxtable border width
-#' @param border_color a character string that defines huxtable border color
-#' @return an object of class huxtable
-#' @export
-ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
-                           border_width = 1, border_color = '#dddddd', bg = c('white', '#f9f9f9')){
-  huxtable::top_border(ht)[1, ] <- 0
-  huxtable::bottom_border(ht)[nrow(ht),] <- border_width
-
-  for (header_row in header_rows){
-    huxtable::bold(ht)[header_row, ] <- TRUE
-    for (col in 1:ncol(ht)){
-      if (!is.na(ht[header_row, col]) & stringr::str_trim(ht[header_row, col]) != ''){
-        huxtable::bottom_border(ht)[header_row, col] <- border_width
-      }
-    }
-  }
-  # browser()
-
-  huxtable::bottom_border(ht)[max(header_rows):nrow(ht), ] <- border_width
-  huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width*2
-
-  for (header_col in header_cols){
-    huxtable::bold(ht)[, header_col] <- TRUE
-  }
-
-  ht <- huxtable::set_all_border_colors(ht, border_color)
-  if (length(bg > 1)){
-    ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, append(as.list(bg), c(from = max(header_rows)+1))))
-    huxtable::background_color(ht)[header_rows,] <- bg[[1]]
-  } else huxtable::background_color(ht) <- bg
-  ht
-}
-
-#' Coerce an object to sstable
-#' @description A function to coerce objects to a sstable
-#' @param x An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")
-#' @param flextable logical value specifying whether to return a flextable. Default is FALSE
-#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
-#' @param ... additional param passed to \link{ss_flextable}
-#' @return A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
-#' @export
-#'
-as_sstable <- function(x,...){
-  UseMethod('as_sstable')
-}
-
-#' @rdname as_sstable
-#' @export
-as_sstable.default <- function(x, flextable = FALSE, ...){
-  out <- list()
-  out$table <- as.matrix(x$table)
-  out$table <- rbind(colnames(out$table), out$table)
-  out$table <- cbind(rownames(out$table), out$table)
-  colnames(out$table) <- rownames(out$table) <- NULL
-  if (length(attr(x, 'footer'))) out$footer <- attr(x, 'footer')
-
-  class(out) <- c('ss_tbl', 'matrix')
-  if (flextable) ss_flextable(out, ...)
-  return(out)
-}
-
-#' @rdname as_sstable
-#' @export
-as_sstable.list <- function(x, flextable = FALSE, ...){
-  out <- list()
-  out$table <- as.matrix(x$table)
-  out$table <- rbind(colnames(out$table), out$table)
-  out$table <- cbind(rownames(out$table), out$table)
-  colnames(out$table) <- rownames(out$table) <- NULL
-  out$footer <- x$footer
-  class(out$table) <- c('ss_tbl', 'matrix')
-
-  if (flextable){
-    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
-    return(logist_summary.sstable)
-  }
-
-  out
-}
-
-#' @rdname as_sstable
-#' @export
-as_sstable.logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
-  out <- list()
-  out$table <- as.matrix(x)
-  out$table <- rbind(colnames(out$table), out$table)
-  out$table <- cbind(rownames(out$table), out$table)
-  colnames(out$table) <- rownames(out$table) <- NULL
-  out$footer <- attr(x, 'footer')
-  class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
-
-  if (flextable){
-    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
-    return(logist_summary.sstable)
-  }
-
-  if (include_footnote) return(out)
-  out$table
-}
-
-#' @rdname as_sstable
-#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
-#' @export
-as_sstable.overlap_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
-  out <- list()
-  out$table <- as.matrix(x)
-  out$table <- rbind(colnames(out$table), out$table)
-  out$table <- cbind(rownames(out$table), out$table)
-  colnames(out$table) <- rownames(out$table) <- NULL
-  out$footer <- attr(x, 'footer')
-  class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
-
-  if (flextable){
-    overlap_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
-    return(overlap_summary.sstable)
-  }
-
-  if (include_footnote) return(out)
-  out$table
-}
-
-#' @rdname as_sstable
-#' @export
-as_sstable.subgroup_logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...)
-{
-  tables <- sapply(x, as_sstable, include_footnote = FALSE, ..., simplify = FALSE)
-  footer <- attr(x[[1]], 'footer')
-  first_header <- c('', tables[[1]][1,-1])
-  tables <- lapply(tables, `[`, -1,)
-  headers <- matrix(rep('', length(tables) * ncol(tables[[1]])), ncol = ncol(tables[[1]]))
-  headers[,1] <- paste(attr(x, 'base_var'), '=', names(tables))
-  # browser()
-  table <- do.call(rbind,
-                   lapply(seq_along(tables),
-                          function(i) rbind(headers[i,], tables[[i]])))
-  table <- rbind(first_header, table)
-  sstable <- ss_format(table, header = 1, section = (seq_len(length(tables)) - 1)*(nrow(tables[[1]])+1)+2)
-  if (flextable) return(ss_flextable(sstable, footer = footer))
-  if (include_footnote) return(list(table = sstable, footer = footer))
-  sstable
-}
-
diff --git a/R/sstable.R b/R/sstable.R
deleted file mode 100644
index 1bd763f..0000000
--- a/R/sstable.R
+++ /dev/null
@@ -1,1250 +0,0 @@
-
-# extract x variables from formula for sstable ----------------------------
-
-getvar <- function(formula) {
-  if (!is.call(formula)) {
-    deparse(formula)
-  } else {
-    if (identical(formula[[1]], quote(`~`)) | identical(formula[[1]], quote(`+`)) | identical(formula[[1]], quote(`|`))) {
-      unlist(lapply(c(formula[[2]], formula[[3]]), getvar))
-    } else {
-      deparse(formula)
-    }
-  }
-}
-
-# extract the sign from quo/formula for sstable - trinhdhk ----------------
-
-getsign <- function(fml){
-  fml <- unclass(fml)[[2]]
-  .getsign = function(x){
-    c(x[[1]],
-      unlist(lapply(x[-1],
-                    function(.x) if(is.call(.x)) .getsign(.x))))
-  }
-
-  out <- .getsign(fml)
-  out[length(out):1]
-}
-
-# extract information from formula for sstable ----------------------------
-
-sstable.formula <- function(formula) {
-  if (length(formula) < 3) {
-    stop("Missing row-wise variable(s) !!!")
-  }
-
-  ## get formula to extract all required variables (formula0)
-  formula0 <- if (identical(formula[[3]], 1)) {
-    as.formula(paste("~", deparse(formula[[2]])))
-  } else {
-    as.formula(paste("~", paste(getvar(formula), collapse = "+")))
-  }
-
-
-  ## get index of each element in formula
-  xlen <- length(all.vars(formula[[2]]))
-  if (xlen == 0) {stop("Missing row-wise variable(s) !!!")}
-
-  if (length(formula[[3]]) > 1) {
-    if (deparse(formula[[3]][[1]]) == "|") {
-      ylen <- ifelse(identical(formula[[3]][[2]], 1), 0, length(all.vars(formula[[3]][[2]])))
-      zlen <- length(all.vars(formula[[3]][[3]]))
-    } else {
-      ylen <- ifelse(identical(formula[[3]], 1), 0, length(all.vars(formula[[3]])))
-      zlen <- 0
-    }
-  } else {
-    ylen <- ifelse(identical(formula[[3]], 1), 0, length(all.vars(formula[[3]])))
-    zlen <- 0
-  }
-
-  if (ylen > 1) {stop("Only 1 column-wise variable is allowed !!!")}
-  if (zlen > 1) {stop("Only 1 third dimension variable is allowed !!!")}
-
-  ## get all formulas required for tabulation
-  xs <- getvar(formula[[2]])
-  formula1 <- sapply(xs, function(x) update.formula(old = formula, new = paste(x, " ~ .")))
-
-  ## output
-  return(list(formula0 = formula0,
-              index = list(x = 1:xlen,
-                           y = if (ylen == 0) 0 else (xlen + 1),
-                           z = if (zlen == 0) 0 else (xlen + 2)),
-              formula1 = formula1))
-}
-
-
-# calculate summary statistics for continuous variable --------------------
-
-#' Calculate summary statistics for continuous variable
-#'
-#' @description A function to calculate summary statistics for continuous variable.
-#'
-#' @param x a numeric vector to be summarised.
-#' @param statistics a character specifies summary statistics for continuous row variables.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param n a logical value specifies whether output will contain the number of non-missing values.
-#'
-#' @return a string displays formatted summary statistics.
-#' @export
-contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mean.sd"), digits = 1, n = TRUE){
-  if (length(statistics) > 1) statistics <- "med.IQR"
-  loc <- formatC(ifelse(statistics == "mean.sd",
-                        mean(x, na.rm = TRUE),
-                        median(x, na.rm = TRUE)), digits = digits, format = "f")
-  dis <- switch(statistics,
-                mean.sd   = formatC(sd(x, na.rm = TRUE), digits = digits, format = "f"),
-                med.IQR   = paste(
-                  formatC(quantile(x, probs = c(0.25, 0.75), na.rm = TRUE), digits = digits, format = "f"),
-                  collapse = ", "),
-                med.90    = paste(
-                  formatC(quantile(x, probs = c(0.05, 0.95), na.rm = TRUE), digits = digits, format = "f"),
-                  collapse = ", "),
-                med.range = paste(
-                  formatC(quantile(x, probs = c(0.00, 1.00), na.rm = TRUE), digits = digits, format = "f"),
-                  collapse = ", "))
-  if (n == TRUE){
-    output <- paste(loc, " (", dis, ") - ", length(na.omit(x)), sep = "")
-    names(output) <- paste(statistics, "- n")
-  } else {
-    output <- paste(loc, " (", dis, ")", sep = "")
-    names(output) <- statistics
-  }
-  return(output)
-}
-
-# create baseline table ---------------------------------------------------
-
-#' Create baseline table
-#'
-#' @description A function to create a simple summary baseline table.
-#'
-#' @param formula a formula specifies variables for rows, variable for column and third-dimension variable.
-#' @param data a data frame to derive baseline table from.
-#' @param bycol a logical value specifies whether the summary will be by column or by row.
-#' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
-#' @param keepEmptyGroup a logical value specifying whether should keep empty groups
-#' @param statistics a character specifies summary statistics for continuous row variables.
-#' @param continuous a logical vector specifies whether each row variables is continuous or categorical.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
-#' @param pdigits a number specifies number of significant digits for p value.
-#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param chisq.test a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
-#' @param correct a parameter for chisq.test().
-#' @param simulate.p.value a parameter for chisq.test() and fisher.test().
-#' @param B a parameter for chisq.test() and fisher.test().
-#' @param workspace a parameter for fisher.test().
-#' @param hybrid a parameter for fisher.test().
-#' @param footer a vector of strings to be used as footnote of table.
-#' @param flextable a logical value specifies whether output will be a flextable-type table.
-#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
-#'
-#' @return a flextable-type table or a list with values/headers/footers
-#' @export
-sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
-                             statistics = "med.IQR", continuous = NA, fullfreq = TRUE, digits = 1,
-                             test = FALSE, pdigits = 3, pcutoff = 0.0001,
-                             chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
-                             workspace = 1000000, hybrid = FALSE,
-                             footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
-
-  ## get information from formula
-  info <- sstable.formula(formula)
-
-  ## strip the tibble class which causes issue - trinhdhk
-  data <- as.data.frame(data)
-
-  ## get data
-  dat <- model.frame(info$formula0, data = data, na.action = NULL)
-  x <- xlabel <- dat[, info$index$x, drop = FALSE]
-  y <- if (info$index$y > 0) dat[, info$index$y] else NULL
-  z <- if (info$index$z > 0) dat[, info$index$z] else NULL
-
-  ## y must be categorical variable
-  if (!is.null(y)) {
-    if (all(!c("character", "factor", "logical") %in% class(y)) |
-        (any(c("numeric", "integer") %in% class(y)) & length(unique(na.omit(y))) > 5)) {
-      stop("Column-wise variable must be categorical !!!")
-    }
-    if (is.factor(y)){
-      if (!keepEmptyGroup) y <- droplevels(y)
-      y <- addNA(y, ifany = TRUE)
-    } else {
-      y <- factor(as.character(y), levels = sort(unique(as.character(y)), na.last = TRUE), exclude = NULL)
-    }
-  } else {
-    y <- factor(rep("Total", nrow(dat)))
-  }
-
-  #browser()
-
-  ## determine type of x (argument: continuous)
-  if (length(continuous) == 1) {
-    continuous <- rep(continuous, ncol(x))
-  } else {
-    if (length(continuous) != ncol(x)) stop("continuous argument must have length 1 or similar length as number of row-wise variables !!!")
-  }
-
-  continuous <- sapply(1:ncol(x), function(i) {
-    out <- ifelse(is.na(continuous[i]),
-                  ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
-                           (any(c("numeric", "integer") %in% class(x[, i])) & length(unique(na.omit(x[, i]))) <= 5), FALSE, TRUE),
-                  continuous[i])
-    return(out)
-  })
-
-
-  for (i in (1:ncol(x))) {
-    if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
-  }
-
-  ## if z exists, x must be categorical
-  if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
-
-  ## if use by-row layout, x must be categorical
-  #browser()
-  if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
-
-  ## determine type of z
-  if (!is.null(z)) {
-    zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
-                            (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
-    # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
-    if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
-  }
-  # browser()
-  ## digits
-  if (length(digits) == 1) {
-    digits <- rep(digits, ncol(x))
-  } else {
-    if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
-  }
-
-  ## if pooledGroup
-  if (pooledGroup) {
-    x <- rbind(x, x)
-    ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
-    y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
-    z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
-  }
-  # else{
-  #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
-  # }
-
-  ## get variable name
-  varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
-
-  ## get summary
-  value <- do.call(rbind,
-                   lapply(1:ncol(x), function(i) {
-                     sstable.baseline.each(varname = varname[i][[1]],
-                                           x = x[, i], y = y, z = z, bycol = bycol,
-                                           pooledGroup = pooledGroup, statistics = statistics,
-                                           continuous = continuous[i], fullfreq = fullfreq, test = test,
-                                           digits = digits[i], pdigits = pdigits, pcutoff = pcutoff,
-                                           chisq.test = chisq.test, correct = correct,
-                                           workspace = workspace, hybrid = hybrid,
-                                           simulate.p.value = simulate.p.value, B = B)
-                   }))
-
-  ## indication of unestimatable values
-  value_dim <- dim(value)
-  value <- apply(value, 2, function(x) ifelse(is.na(x) | x %in% c("NA (NA, NA)", "0/0 (NaN%)"), "-", x))
-  dim(value) <- value_dim
-
-  ## output
-  ### header
-  gr.lev <- levels(y)
-  header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
-  header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
-  if (test) {
-    header1 <- c(header1, "p value")
-    header2 <- c(header2, "")
-  }
-
-  ### footer
-  footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
-  #### summary statistics
-  if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
-    footer.con <- paste0(switch(statistics,
-                                med.IQR = "median (IQR)",
-                                med.90  = "median (90% range)",
-                                med.range = "median (range)",
-                                mean.sd = "mean (sd)"),
-                         " for continuous variable(s).")
-  }
-  if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
-    footer.cat <- paste0("absolute count (%) for categorical variable(s)")
-  }
-  footer1.after <- if (is.null(footer.con)) {
-    paste0(footer.cat, ".")
-  } else {
-    if (is.null(footer.cat)) {
-      footer.con
-    } else {
-      paste0(footer.cat, " and ", footer.con)
-    }
-  }
-  footer1 <- paste("Summary statistic is", footer1.after)
-
-  #### test
-  if (test) {
-    footer2.cat <- paste(ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), "for categorical variable(s)")
-    footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
-    footer2.after <- if (is.null(footer.con)) {
-      paste0(footer2.cat, ".")
-    } else {
-      if (is.null(footer.cat)) {
-        footer2.con
-      } else {
-        paste0(footer2.cat, " and ", footer2.con)
-      }
-    }
-    footer2 <- paste("p-values were based on", footer2.after)
-  }
-
-  footer <- c("N is number of all patients, n is number of patients with non-missing value.",
-              footer1,
-              if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
-              footer2,
-              footer)
-
-  ### flextable
-  if (flextable) {
-    requireNamespace("flextable")
-    requireNamespace("officer")
-
-    ## main table
-    tab <- flextable::flextable(as.data.frame(value))
-
-    ## header
-    header1[1] <- header2[1]
-    header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
-    if (test) header2[length(header1)] <- header1[length(header1)]
-    assign("tab",
-           eval(parse(text = paste0("flextable::set_header_labels(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
-                                    ")"))))
-    assign("tab",
-           eval(parse(text = paste0("flextable::add_header(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
-                                    ", top = FALSE)"))))
-
-    tab <- flextable::merge_h(tab, part = "header")
-    tab <- flextable::merge_v(tab, part = "header")
-
-    ## footer
-    for (k in (1:length(footer))) {
-      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
-      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
-    }
-
-    ## format
-    ### width
-    tab <- flextable::autofit(tab)
-    ### alignment
-    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
-    ### faces of header
-    tab <- flextable::bold(tab, part = "header")
-    ### background
-    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
-    ### border
-    tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- flextable::border_remove(tab)
-    tab <- flextable::hline(tab, border = tabbd, part = "header")
-    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
-    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-
-  } else {
-    tab <- list(table = rbind(header1, header2, value),
-                footer = footer)
-    class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
-  }
-  ## output
-  return(tab)
-}
-
-sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup = FALSE,
-                                  statistics = "med.IQR", continuous = NA, fullfreq = TRUE, test = FALSE,
-                                  digits = 1, pdigits = pdigits, pcutoff = 0.0001, chisq.test = FALSE, correct = FALSE, workspace = 1000000,
-                                  hybrid = FALSE, simulate.p.value = FALSE, B = 2000) {
-
-  ## functions
-  mycont.summary <- function(x, y, z) {
-    ngroup <- length(levels(y))
-
-    if (is.null(z)) {
-      summarystat.nice <- by(unclass(x), y, contSummary, statistics = statistics, digits = digits, n = FALSE)
-      #n <- c(by(x, y, function(x) length(na.omit(x))))
-      n <- table(y[!is.na(x)])
-
-      result <- matrix("", ncol = ngroup * 2 + 1, nrow = 1)
-      result[1, seq(2, ncol(result), by = 2)] <- n
-      result[1, seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
-
-    } else {
-      summarystat.nice <- by(unclass(z), list(x, y), contSummary, statistics = statistics, digits = digits, n = FALSE)
-      n <- table(x, y)
-      result <- matrix("", ncol = ngroup * 2 + 1, nrow = length(levels(x)) + 1)
-      result[1, seq(2, ncol(result), by = 2)] <- apply(n, 2, sum)
-      result[2:nrow(result), seq(2, ncol(result), by = 2)] <- n
-      result[2:nrow(result), 1] <- paste0("- ", levels(x), " (n = ", apply(n, 1, sum), ")")
-      result[2:nrow(result), seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
-    }
-
-    if (test == TRUE & ngroup > 1) {
-      # overall Kruskal-Wallis test for group differences
-      if (is.null(z)) {
-        m <- 1:(length(x) * (1 - 0.5 * as.numeric(pooledGroup)))
-        pval <- tryCatch(format.pval(kruskal.test(x = x[m], g = y[m])$p.value,
-                                     eps = pcutoff, digits = pdigits, scientific = FALSE),
-                         error = function(c) NA)
-        result <- cbind(result, pval)
-      } else {
-        pval <- sapply(1:length(levels(x)), function(i) {
-          q <- which(x == levels(x)[i])
-          if (length(q) == 0) {
-            out <- NA
-          } else {
-            m <- q[q %in% 1:(length(z) * (1 - 0.5 * as.numeric(pooledGroup)))]
-            out <- tryCatch(format.pval(kruskal.test(x = z[m], g = y[m])$p.value,
-                                        eps = pcutoff, digits = pdigits, scientific = FALSE),
-                            error = function(c) NA)
-          }
-          return(out)
-        })
-        result <- cbind(result, c("", pval))
-      }
-
-    }
-    return(result)
-  }
-
-  mycat.summary <- function(x, y, z, fullfreq = fullfreq) {
-    ngroup <- length(levels(y))
-    result <- matrix("", ncol = ngroup * 2 + 1, nrow = length(levels(x)) + 1)
-
-    if (is.null(z)) {
-      ta <- table(x, y)
-      n <- if (bycol) {
-        apply(ta, 2, sum)
-      } else {
-        if (pooledGroup) {apply(ta[, -ncol(ta)], 1, sum)} else {apply(ta, 1, sum)}
-      }
-      ta.prop <- if (bycol) {
-        unclass(ta/rep(n, each = length(levels(x))))
-      } else {
-        unclass(ta/rep(n, ngroup))
-      }
-
-      ta.nice <- matrix(paste0(" (", formatC(100 * unclass(ta.prop), digits, format = "f"), "%)"),
-                        nrow = nrow(ta), ncol = ncol(ta))
-      result[2:nrow(result), 1] <- paste0("- ", levels(x))
-      if (bycol) {
-        #browser()
-        result[1, seq(2, ncol(result), by = 2)] <- n
-        if (fullfreq) {
-          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, "/", rep(apply(ta, 2, sum), each = length(levels(x))), ta.nice)
-        } else {
-          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, ta.nice)
-        }
-
-      } else {
-        result[2:nrow(result), 1] <- paste0(result[2:nrow(result), 1], " (n=", n, ")")
-        if (fullfreq) {
-          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, "/", rep(n, ngroup), ta.nice)
-        } else {
-          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, ta.nice)
-        }
-
-      }
-    } else {
-      tn <- table(x, y)
-      tn2 <- if (pooledGroup) {tn[, -ncol(tn)]} else {tn}
-      ta.nice <- matrix(by(z, list(x, y), function(z) {
-        ta <- sum(z == TRUE, na.rm = TRUE)
-        n <- length(na.omit(z))
-        if (fullfreq) {
-          output <- paste0(ta, "/", n, " (", formatC(100 * (ta/n), digits, format = "f"), "%)")
-        } else {
-          output <- paste0(ta, " (", formatC(100 * (ta/n), digits, format = "f"), "%)")
-        }
-        return(output)
-      }), ncol = ngroup)
-      result[2:nrow(result), 1] <- paste0("- ", levels(x), " (n=", apply(tn2, 1, sum), ")")
-      result[2:nrow(result), seq(3, ncol(result), by = 2)] <- ta.nice
-      result[1, seq(2, ncol(result), by = 2)] <- apply(tn, 2, sum)
-      result[2:nrow(result), seq(2, ncol(result), by = 2)] <- tn
-    }
-
-    if (test == TRUE & ngroup > 1) {
-      if (is.null(z)) {
-        m <- 1:(length(x) * (1 - 0.5 * as.numeric(pooledGroup)))
-        pval <- if (chisq.test) {
-          tryCatch(format.pval(chisq.test(x = x[m], y = y[m], correct = correct,
-                                          simulate.p.value = simulate.p.value, B = B)$p.value,
-                               eps = pcutoff, digits = pdigits, scientific = FALSE),
-                   error = function(c) NA)
-        } else {
-          tryCatch(format.pval(fisher.test(x = x[m], y = y[m], workspace = workspace, hybrid = hybrid,
-                                           simulate.p.value = simulate.p.value, B = B)$p.value,
-                               eps = pcutoff, digits = pdigits, scientific = FALSE),
-                   error = function(c) NA)
-        }
-        result <- cbind(result, "")
-        result[1,ngroup * 2 + 2] <- pval
-      } else {
-        pval <- sapply(1:length(levels(x)), function(i) {
-          q <- which(x == levels(x)[i])
-          if (length(q) == 0) {
-            out <- NA
-          } else {
-            m <- q[q %in% 1:(length(z) * (1 - 0.5 * as.numeric(pooledGroup)))]
-            out <- if (chisq.test) {
-              tryCatch(format.pval(chisq.test(x = z[m], y = y[m], correct = correct,
-                                              simulate.p.value = simulate.p.value, B = B)$p.value,
-                                   eps = pcutoff, digits = pdigits, scientific = FALSE),
-                       error = function(c) NA)
-            } else {
-              tryCatch(format.pval(fisher.test(x = z[m], y = y[m], workspace = workspace, hybrid = hybrid,
-                                               simulate.p.value = simulate.p.value, B = B)$p.value,
-                                   eps = pcutoff, digits = pdigits, scientific = FALSE),
-                       error = function(c) NA)
-            }
-          }
-          return(out)
-        })
-        result <- cbind(result, c("", pval))
-      }
-    }
-    result
-  }
-
-  if (is.null(z)) {
-    out <- if (continuous) {
-      mycont.summary(x = x, y = y, z = NULL)
-    } else {
-      mycat.summary(x = x, y = y, z = NULL, fullfreq = fullfreq)
-    }
-  } else {
-    out <- if (is.factor(z)) {
-      mycat.summary(x = x, y = y, z = z, fullfreq = fullfreq)
-    } else {
-      mycont.summary(x = x, y = y, z = z)
-    }
-  }
-
-  out[1, 1] <- varname
-  return(out)
-}
-
-# create adverse event table ---------------------------------------------------
-
-#' Create an adverse event summary table
-#'
-#' @description A function to create a simple adverse event summary table.
-#'
-#' @param ae_data a data frame contains adverse event data.
-#' @param fullid_data a data frame contains treatment arm data of all participants (not just those had adverse event).
-#' @param group_data a reference data frame contains the group name of each ae.
-#' @param id.var a character specifies name of study id variable (exists in both adverse event data and treatment arm data).
-#' @param aetype.var a character specifies name of adverse event type variable (exists in adverse event data).
-#' @param grade.var a character specifies name of adverse event grade variable (exists in adverse event data).
-#' @param group.var a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).
-#' @param arm.var a character specifies name of treatment arm variable (exists in treatment arm data).
-#' @param sort.by
-#' An unquoted formula of sorting options.
-#'
-#' Available options are `ep`, `pt`, `p`, or a combination of them (eg ep+pt-p);
-#' A minus sign indicates a descending order.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
-#' @param pdigits a number specifies number of significant digits for p value.
-#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param chisq.test
-#' a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
-#'
-#' Be aware that even when chisq.test==TRUE, if expected values are < 1, the later test will take over.
-#' @param correct a parameter for chisq.test().
-#' @param simulate.p.value a parameter for chisq.test() and fisher.test().
-#' @param B a parameter for chisq.test() and fisher.test().
-#' @param workspace a parameter for fisher.test().
-#' @param hybrid a parameter for fisher.test().
-#' @param footer a vector of strings to be used as footnote of table.
-#' @param flextable a logical value specifies whether output will be a flextable-type table.
-#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
-#'
-#' @return a flextable-type table or a list with values/headers/footers
-#' @import dplyr
-#' @import tidyr
-#' @export
-sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
-                       group.var = NULL, arm.var, sort.by, digits = 0,
-                       test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
-                       simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
-                       footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
-  requireNamespace("dplyr")
-  requireNamespace("tidyr")
-
-  ## check variable's name
-  tmp <- match.call()
-  if (!id.var %in% names(ae_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
-  if (!id.var %in% names(fullid_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
-  if (!aetype.var %in% names(ae_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
-  if (!is.null(grade.var)) {
-    if (!grade.var %in% names(ae_data)){stop(paste(tmp[[7]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
-  }
-  if (!is.null(group.var)){
-    if (!is.null(group_data)){
-      if (!group.var %in% names(group_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[4]]), '!!!'))
-      if (!aetype.var %in% names(group_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[4]]), "!!!"))}
-    } else
-      if (!group.var %in% names(ae_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[2]]), '!!!'))
-  }
-  if (!arm.var %in% names(fullid_data)){stop(paste(tmp[[9]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
-  if (!missing(sort.by)){
-    sort.by <- rlang::enquo(sort.by)
-    sort.vars <- all.vars(sort.by)
-    sort.signs <- getsign(sort.by)
-    if (length(sort.signs) < length(sort.vars)) sort.signs <- purrr::prepend(sort.signs, quote(`+`))
-    if (length(setdiff(sort.vars, c('pt','ep','p'))))
-      stop('Sorting can only apply to `pt`, `ep`, and `p`')
-  }
-
-  # strip the tibble class which causes issues - trinhdhk
-  ae_data <- as.data.frame(ae_data)
-  fullid_data <- as.data.frame(fullid_data)
-  group_data <- as.data.frame(group_data)
-  is.grouped <- !missing(group.var)
-
-  ## format study arms
-  idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
-  if (is.factor(idarm$arm)){
-    idarm$arm <- addNA(idarm$arm, ifany = TRUE)
-    arm_lev <-levels(idarm$arm)
-  } else {
-    arm_lev <- sort(unique(as.character(idarm$arm)), na.last = TRUE)
-    idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
-  }
-
-  ## add aetype of "Any selected AE" & format aetype
-  ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
-  ae <- rbind(ae_data, ae_any)
-  # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
-  # browser()
-
-  ## extract grades of ae
-  if (!is.null(grade.var)) {
-    grade <- sort(unique(na.omit(ae_data[, grade.var])))
-    grade2 <- ifelse(grepl(pattern = "grade", ignore.case = TRUE, x = grade), grade, paste("Grade", grade))
-    ae_grade <- do.call(rbind,
-                        lapply(1:length(grade), function(i) {
-                          tmpdat <- ae_data[ae_data[, grade.var] == grade[i], ]
-                          tmpdat[, aetype.var] <- paste("-", grade2[i])
-                          return(tmpdat)
-                        }))
-    ae <- rbind(ae, ae_grade)
-    # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
-  }
-  ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
-  # browser()
-
-  aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
-  aetype_lev <- c("Any selected adverse event",
-                  if (!is.null(grade.var)) paste("-", grade2),
-                  aetype_lev.raw)
-
-  ## add randomized arm to AE
-  ae_arm <- merge(idarm, ae, by = "id", all.y = TRUE) %>%
-    mutate(arm = addNA(factor(as.character(arm), levels = arm_lev, exclude = NULL), ifany = TRUE),
-           aetype = addNA(factor(as.character(aetype), levels = aetype_lev, exclude = NULL), ifany = TRUE))
-
-  ## calculate episodes and patients
-  ae_count <- ae_arm %>%
-    group_by(aetype, arm) %>%
-    summarise(n_episode = n(),
-              n_patient = length(unique(id))) %>%
-    ungroup() %>%
-    complete(aetype, arm)
-  if (!is.factor(ae_count$aetype)) {ae_count$aetype <- factor(ae_count$aetype, levels = levels(ae_arm$aetype))}
-  if (!is.factor(ae_count$arm)) {ae_count$arm <- factor(ae_count$arm, levels = levels(ae_arm$arm))}
-
-  episode_n <- unlist(spread(select(as.data.frame(ae_count), -n_patient), key = arm, value = n_episode)[, -1])
-  episode_n[is.na(episode_n)] <- 0
-  patient_n <- unlist(spread(select(ae_count, -n_episode), key = arm, value = n_patient)[, -1])
-  patient_n[is.na(patient_n)] <- 0
-  patient_N <- rep(table(idarm$arm), each = nlevels(ae_arm$aetype))
-  patient_p <- patient_n/patient_N
-
-  ## table
-  #browser()
-  value <- matrix(ncol = nlevels(ae_arm$arm)*3, nrow = nlevels(ae_arm$aetype))
-  value[, seq(from = 1, to = nlevels(ae_arm$arm)*2, by = 2)] <- episode_n
-  value[, seq(from = 2, to = nlevels(ae_arm$arm)*2, by = 2)] <- paste0(patient_n, "/", patient_N,
-                                                             " (", formatC(100 * patient_p, digits, format = "f"), "%)")
-  ## add raw values to 2 dummy columns for sorting purpose
-  value[, (nlevels(ae_arm$arm)*2 + 1):(nlevels(ae_arm$arm)*3)] <- patient_n
-  ae_value <- cbind(aename = levels(ae_arm$aetype), value)
-
-  ## get the aehead -trinhdhk
-  ae_value.head <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% filter(!aename %in% aetype_lev.raw)
-
-  ## categorizing ae into groups
-  ## author: trinhdhk
-  if (!is.null(group.var)) {
-    if (is.null(group_data)) {
-      group_data <- unique(ae_data[,c(aetype.var, group.var)])
-    }
-    group_data[[group.var]] <- replace_na(group_data[[group.var]], 'Uncategorised')
-    if (!is.factor(group_data[, group.var])) group_data[, group.var] <- as.factor(group_data[, group.var])
-    group_data <- group_data[, c(aetype.var, group.var)]
-    group_data[,aetype.var] <- as.character(group_data[,aetype.var])
-    names(group_data) <- c(aetype.var, '.tmp.group')
-  # } else {
-  #   ## - create a fake grouping
-  #   group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
-  #   names(group_data) <- c(aetype.var, '.tmp.group')
-  # }
-
-  # browser()
-
-    ### bind group back to summary table -trinhdhk
-    ae_value.headless <-
-      as.data.frame(ae_value, stringsAsFactors = FALSE) %>%
-      filter(aename %in% aetype_lev.raw) %>%
-      rename({{aetype.var}} := aename) %>%
-      right_join(group_data, by = aetype.var) %>%
-      group_by(.tmp.group) %>%
-      group_modify(~ rbind(c(as.character(.y$.tmp.group),
-                             unlist(lapply(seq_along(arm_lev),
-                                           function(i){
-                                             return(c(
-                                               sum(as.numeric(unlist(.x[, 2*i]))),
-                                               ''))
-                                             # paste(sum(as.numeric(unlist(.x[, length(arm_lev)*2+i+1])))))
-                                           })),
-                             rep('',ncol(ae_value)-1-2*length(arm_lev))
-      ),.x))
-    # browser()
-
-    grouptitle_index <- ae_value.headless %>% group_rows() %>% sapply(., function(x) head(x, 1))
-
-    ae_value.headless <-
-      ae_value.headless %>%
-      ungroup %>%
-      select(-.tmp.group)
-
-    #adjust the row number of group title by combining with the head
-    grouptitle_index <- grouptitle_index + nrow(ae_value.head)
-    ae_value <-
-      ae_value.head %>%
-      `names<-`(names(ae_value.headless)) %>%
-      rbind(ae_value.headless)
-  } else ae_value <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% rename({{aetype.var}} := aename)
-  # browser()
-
-  ## test
-  if (test) {
-    ## <trinhdhk:
-    ## - requested by Ronald, add the ability to override the chisq.test with fisher.test when the expected var is <1.
-    ## - this should work even when chisq.test == T
-    ## >
-
-    do_fisher <- function(mat, workspace = workspace, hybrid = hybrid,
-                          simulate.p.value = simulate.p.value, B = B){
-      tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
-                                       simulate.p.value = simulate.p.value, B = B)$p.value,
-                           eps = pcutoff, digits = pdigits, scientific = FALSE),
-               error = function(e) NA)
-    }
-
-    do_chisq <- function(mat, correct = correct,
-                         simulate.p.value = simulate.p.value, B = B,
-                         workspace = workspace, hybrid = hybrid){
-      chi.out <- tryCatch(suppressWarnings(chisq.test(x = mat, correct = correct,
-                                     simulate.p.value = simulate.p.value, B = B)),
-                          error = function(e) NA)
-      if (length(chi.out) == 1) # that implicits the NA value, so no more NA check here
-        return(chi.out)
-
-      if (any(chi.out$expected<1))
-        return(do_fisher(mat=mat, workspace = workspace, hybrid = hybrid,
-                         simulate.p.value = simulate.p.value, B = B))
-      #else
-      return(format.pval(chi.out$p.value,eps = pcutoff, digits = pdigits, scientific = FALSE))
-    }
-
-    pval <- sapply(1:nrow(value), function(i) {
-      idx <- seq(from = i, to = length(patient_n), by = nrow(value))
-      mat <- matrix(c(patient_n[idx], patient_N[idx] - patient_n[idx]), nrow = 2, byrow = TRUE)
-      out <- if (chisq.test) {
-        # tryCatch(format.pval(chisq.test(x = mat, correct = correct,
-        #                                 simulate.p.value = simulate.p.value, B = B)$p.value,
-        #                      eps = pcutoff, digits = pdigits, scientific = FALSE),
-        #          error = function(c) NA)
-        do_chisq(mat, correct = correct,
-                 simulate.p.value = simulate.p.value, B = B,
-                 workspace = workspace, hybrid = hybrid)
-      } else {
-        # tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
-        #                                  simulate.p.value = simulate.p.value, B = B)$p.value,
-        #                      eps = pcutoff, digits = pdigits, scientific = FALSE),
-        #          error = function(c) NA)
-        do_fisher(mat, workspace = workspace, hybrid = hybrid,
-                  simulate.p.value = simulate.p.value, B = B)
-      }
-      return(out)
-    })
-    pval[is.na(pval)] <- "-"
-
-    ## add grouping row - trinhdhk
-    # browser()
-      ae_value <-
-        left_join(
-          ae_value,
-          cbind(aetype=aetype_lev, pval) %>%
-            as.data.frame(stringsAsFactors = FALSE) %>%
-            rename({{aetype.var}} := aetype),
-          by = aetype.var
-        ) %>%
-        mutate(pval = replace_na(pval, ''))
-  }
-
-  # browser()
-
-  ## sorting - trinhdhk
-  if (!missing(sort.by)){
-    ## - the head will not be sorted.
-    split.parts <- c(1, if(is.null(group.var)) (nrow(ae_value.head)+1) else grouptitle_index)
-    col.name <- arrange(mutate(expand.grid(c('ep', 'n.pt'), 1:nlevels(ae_arm$arm)), out = paste(Var1, Var2, sep='.')), Var2)$out
-    dummy.col.name <- paste('pt', 1:nlevels(ae_arm$arm), sep='.')
-    colnames(ae_value) <- c('aetype', col.name, dummy.col.name, if (test) 'p')
-    ae_value <-
-      mutate_at(as.data.frame(ae_value, stringsAsFactors = FALSE),
-                vars(matches('(^pt.\\d)|(^ep.\\d)'), dummy.col.name), as.numeric) %>%
-      mutate(
-        pt.all = by(select(., starts_with('pt.')), 1:nrow(.), sum),
-        ep.all = by(select(., starts_with('ep.')), 1:nrow(.), sum)
-      )
-
-    ae_value.group <- lapply(seq_along(split.parts),
-                             function(i){
-                               return(ae_value[split.parts[i]:(c(split.parts, nrow(ae_value) + 1)[i+1]-1),])
-                             })
-    ## - remove the head
-    ae_value.head <- ae_value.group[[1]]
-    ae_value.group.headless <- ae_value.group[-1]
-
-    ## - convert the sign and var into arrange-friendly quosures.
-
-    arrange.params <- rlang::as_quosures(
-      unlist(lapply(seq_along(sort.vars),
-                    function(i){
-                      sort.var <- sort.vars[[i]]
-                      sort.sign <- sort.signs[[i]]
-                      if (identical(sort.sign, quote(`+`)))
-                        lapply(paste0('~', sort.var, if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev)))), env = parent.frame(), as.formula)
-                      else
-                        lapply(paste0('~desc(', sort.var,if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev))), ')'), env = parent.frame(), as.formula)
-                    })
-      ))
-
-
-    ae_value.sorted <- do.call(rbind,
-                               lapply(ae_value.group.headless,
-                                      function(grouped_ae){
-                                        if (is.grouped){
-                                          rbind(
-                                            grouped_ae[1, ],
-                                            do.call(arrange, rlang::flatten(list(
-                                              .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
-                                              unlist(arrange.params))))
-                                          )
-                                        } else {
-                                          do.call(arrange, rlang::flatten(list(
-                                            .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE),
-                                            unlist(arrange.params))))
-                                        }
-                                      }))
-    ## - bind the head again
-    ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '') %>% select(-pt.all, -ep.all)
-
-    # browser()
-  }
-
-  ## remove the dummy col -trinhdhk
-  ae_value <- ae_value[,-(nlevels(ae_arm$arm)*2 + 2):-(nlevels(ae_arm$arm)*3+1)]
-  ae_value <- as.matrix(ae_value) #convert back to matrix to avoid conflicts
-  colnames(ae_value) <- NULL
-  ## output
-  ### header
-  gr.lev <- levels(ae_arm$arm)
-  header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(idarm$arm), ")", sep = ""))))
-  header2 <- c("Type of adverse event", rep(c("n episode", "n patient"), length(gr.lev)))
-  if (test) {
-    header1 <- c(header1, "p value")
-    header2 <- c(header2, "")
-  }
-
-  ### footer
-  footer <- c("n episode refer to the number of adverse events in each study arm.",
-              "n patient refer to the number of patients with at least one event in each study arm.",
-              if (any(value == "-")) "- : value cannot be estimated." else NULL,
-              if (test) {paste("p-values were based on",
-                               ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test if applicable and Fisher's exact test otherwise "),
-                               "comparing n patient between study arms for each type of adverse event.")} else NULL,
-              footer)
-
-  ### flextable
-  if (flextable) {
-    requireNamespace("flextable")
-    requireNamespace("officer")
-
-    ## main table
-    colnames(ae_value) <- rep("", ncol(ae_value))
-    tab <- flextable::flextable(as.data.frame(ae_value))
-
-    ## header
-    header1[1] <- header2[1]
-    header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
-
-    if (test) header2[length(header1)] <- header1[length(header1)]
-
-    assign("tab",
-           eval(parse(text = paste0("flextable::set_header_labels(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
-                                    ")"))))
-    assign("tab",
-           eval(parse(text = paste0("flextable::add_header(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
-                                    ", top = FALSE)"))))
-
-    tab <- flextable::merge_h(tab, part = "header")
-    tab <- flextable::merge_v(tab, part = "header")
-
-    ## footer
-    for (k in (1:length(footer))) {
-      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
-      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
-    }
-
-    ## format
-    ### width
-    tab <- flextable::autofit(tab)
-    ### alignment
-    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
-    ### faces of header
-    tab <- flextable::bold(tab, part = "header")
-    ### background
-    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
-    ### border
-    tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- flextable::border_remove(tab)
-    tab <- flextable::hline(tab, border = tabbd, part = "header")
-    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
-    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    ### group-name rows-trinhdhk
-    if (is.grouped) tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
-
-  } else {
-    tab <- list(table = rbind(header1, header2, ae_value),
-                footer = footer)
-    class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
-  }
-  return(tab)
-}
-
-# create survival comparison table ----------------------------------------
-
-#' Summarize results for a Cox survival model with the treatment arm as the main covariate
-#'
-#' @description A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate
-#'
-#' @param model a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
-#' @param data a data frame to fir the Cox survival model.
-#' @param add.risk a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
-#' @param add.prop.haz.test a logical value specifies whether a test for proportional hazards should be added.
-#' @param medsum a logical value specifies whether median (IQR) of time to event should be described.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param pdigits a number specifies number of significant digits for p value.
-#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param footer a vector of strings to be used as footnote of table.
-#' @param flextable a logical value specifies whether output will be a flextable-type table.
-#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
-#'
-#' @return a flextable-type table or a list with values/headers/footers
-#'
-#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
-#' @import survival
-#' @export
-sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = TRUE, medsum = TRUE,
-                             digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
-  requireNamespace("survival")
-
-  ## strip the tibble class which causes issue - trinhdhk
-  data <- as.data.frame(data)
-
-  arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
-  arm.names <- levels(data[, arm.var])
-
-  # Table header
-  header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
-  header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), "HR (95%CI); p-value")
-  header <- rbind(header1, header2)
-  result <- rbind(header, "")
-
-  ## footer
-  footer <- c("HR = hazard ratio; IQR = interquartile range.", "HR and p value were based on Cox proportional hazards models.", footer)
-
-  # add number of events and risks
-  fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
-  fit.surv <- summary(fit.surv0, time = Inf, extend = TRUE)
-
-  if (length(unique(data[, arm.var])) < length(arm.names)) {
-    tmp <- fit.surv$table
-    dim(tmp) <- c(length(unique(data[, arm.var])), length(tmp))
-    colnames(tmp) <- names(fit.surv$table)
-  } else {
-    tmp <- fit.surv$table
-  }
-  events.n <- paste(tmp[, "events"], tmp[, "n.max"], sep = "/")
-  if (add.risk) events.n <- paste(events.n, " (", formatC(100*(1 - fit.surv$surv), digits, format = "f"), ")", sep="")
-  idx <- which(arm.names %in% unique(data[, arm.var]))
-  result[3, 1:length(arm.names)] <- rep("-", length(arm.names))
-  result[3, idx] <- events.n
-  #browser()
-  if (length(events.n) < length(arm.names)) {
-    result[3, length(arm.names) + 1] <- "-"
-    if (add.prop.haz.test){result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))}
-  } else {
-    # add HR, CI, p-value
-    fit.coxph <- survival::coxph(model, data)
-    est <- coef(fit.coxph)
-    hr <- formatC(exp(est), digits, format = "f")
-    result[3, length(arm.names) + 1] <- if (is.na(coef(fit.coxph))) {
-      "-"
-    } else {
-      se <- sqrt(fit.coxph$var)
-      z <- abs(est/se)
-      pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
-      ci <- paste(formatC(exp(c(est - qnorm(0.975) * se, est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
-      hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
-      result[3, length(arm.names) + 1] <- hr.ci.p
-    }
-
-    # add test for proportional hazards
-    if (add.prop.haz.test){
-      if (is.na(est)) {
-        result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))
-      } else {
-        attr(model, ".Environment") <- environment() # needed for cox.zph to work
-        p.prop.haz <- survival::cox.zph(survival::coxph(model, data))$table[1, "p"]
-        if (is.na(p.prop.haz)) {
-          p.prop.haz <- "-"
-        } else {
-          p.prop.haz <- format.pval(p.prop.haz, eps = pcutoff, digits = pdigits)
-        }
-        result <- cbind(result, c("Test for proportional hazards", "p-value", p.prop.haz))
-      }
-    }
-  }
-  rownames(result) <- NULL
-
-  # add label
-  #browser()
-  varname <- all.vars(model)[2:1]
-  varlabel <- sapply(varname, function(x){
-    ifelse(is.null(attr(data[, x], "label")), x, attr(data[, x], "label"))
-  })
-  # output
-  output <- if (medsum) {
-    result <- rbind(result, "", "", "", "")
-    # add median (IQR) of time-to-event
-    qfit <- as.matrix(do.call(cbind, quantile(fit.surv0, probs = c(0.5, 0.25, 0.75))))
-    result[5:7, 1:length(arm.names)] <- apply(formatC(qfit, digits, format = "f"), 1, function(x){
-      sapply(1:3, function(z) paste(x[z], " (", x[z + 3], ", ", x[z + 6], ")", sep = ""))
-    })
-    cbind(c("Endpoint", "", varlabel, "- Median (95%CI)", "- Lower IQR (95%CI)", "- Upper IQR (95%CI)"), result)
-  } else {
-    output <- cbind(c("Endpoint", "", varlabel[1]), result)
-  }
-  rownames(output) <- NULL
-  value <- output[-c(1:2), , drop = FALSE]
-  #browser()
-  ## flextable
-  if (flextable) {
-    requireNamespace("flextable")
-    requireNamespace("officer")
-
-    ## main table
-    tab <- flextable::flextable(as.data.frame(value))
-
-    ## header
-    header1 <- output[1, ]; header2 <- output[2, ]
-    header2[1] <- header1[1]
-    assign("tab",
-           eval(parse(text = paste0("flextable::set_header_labels(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
-                                    ")"))))
-    assign("tab",
-           eval(parse(text = paste0("flextable::add_header(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
-                                    ", top = FALSE)"))))
-
-    tab <- flextable::merge_v(tab, part = "header")
-
-    if (any(value == "-")) footer <- c(footer, "- : value cannot be estimated.")
-
-    for (k in (1:length(footer))) {
-      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
-      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
-    }
-
-    ## format
-    ### width
-    tab <- flextable::autofit(tab)
-    ### alignment
-    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
-    ### faces of header
-    tab <- flextable::bold(tab, part = "header")
-    ### background
-    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
-    ### border
-    tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- flextable::border_remove(tab)
-    tab <- flextable::hline(tab, border = tabbd, part = "header")
-    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
-    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-
-  } else {
-    tab <- list(table = output,
-                footer = footer)
-    class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
-  }
-  return(tab)
-}
-
-#' Summarize results for a Cox survival model by treatment arm and subgroup
-#'
-#' @description A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.
-#'
-#' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
-#' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
-#' @param data a data frame to fir the Cox survival model.
-#' @param ... arguments that are passed to sstable.survcomp.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param pdigits a number specifies number of significant digits for p value.
-#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param footer a vector of strings to be used as footnote of table.
-#' @param flextable a logical value specifies whether output will be a flextable-type table.
-#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
-#'
-#' @return a flextable-type table or a list with values/headers/footers
-#'
-#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
-#' @import survival
-#' @export
-sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
-  requireNamespace("survival")
-
-  ## strip the tibble class which causes issue - trinhdhk
-  data <- as.data.frame(data)
-
-  # result in entire population
-  result <- sstable.survcomp(model = base.model, data = data, medsum = FALSE, digits = digits,
-                             pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
-  result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
-
-  # Preparation of models and data
-  subgroup.char <- all.vars(subgroup.model)
-  #browser()
-  for (k in 1:length(subgroup.char)){
-    main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
-    ia.model <- update(base.model, as.formula(paste(". ~ . + arm *", subgroup.char[k], sep = "")))
-    data$.subgroup.var <- data[, subgroup.char[k]]
-    factor.levels <- levels(data[, subgroup.char[k]])
-
-    # Add interaction test for heterogeneity
-    result <- rbind(result, "")
-    result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
-                                      subgroup.char[k], attr(data[, subgroup.char[k]], "label"))
-    ia.pval <- anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "P(>|Chi|)"]
-    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
-
-    # Add results for each subgroup level
-    for (j in 1:length(factor.levels)){
-      result <- rbind(result, "")
-      result[nrow(result), 1] <- paste("-", factor.levels[j])
-      d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
-      result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup,
-                                                                     medsum = FALSE, digits = digits, pdigits = pdigits, pcutoff = pcutoff,
-                                                                     flextable = FALSE, ...)$table[3,-1]
-    }
-  }
-  ## footer
-  footer <- c("HR = hazard ratio.",
-              "HR and p value were based on Cox proportional hazards models.",
-              "Test for heterogeneity is an interaction test between treatment effect and each subgroup in a Cox proportional hazard model (not include other variables).",
-              footer)
-
-  # flextable
-  if (flextable) {
-    requireNamespace("flextable")
-    requireNamespace("officer")
-
-    ## main table
-    value <- result[-c(1, 2), ]
-    tab <- flextable::flextable(as.data.frame(value))
-
-    ## header
-    header1 <- result[1, ]; header2 <- result[2, ]
-    header2[1] <- header1[1]
-    assign("tab",
-           eval(parse(text = paste0("flextable::set_header_labels(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
-                                    ")"))))
-    assign("tab",
-           eval(parse(text = paste0("flextable::add_header(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
-                                    ", top = FALSE)"))))
-
-    tab <- flextable::merge_v(tab, part = "header")
-
-    ## footer
-    if (any(value == "-")) footer <- c(footer, "- : value cannot be estimated.")
-    for (k in (1:length(footer))) {
-      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
-      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
-    }
-
-    ## format
-    ### width
-    tab <- flextable::autofit(tab)
-    ### alignment
-    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
-    ### faces of header
-    tab <- flextable::bold(tab, part = "header")
-    ### background
-    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(result[-c(1:2), ]), by = 2), j = 1:length(header1), bg = bg, part = "body")
-    ### border
-    tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- flextable::border_remove(tab)
-    tab <- flextable::hline(tab, border = tabbd, part = "header")
-    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
-    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-
-  } else {
-    tab <- list(table = result,
-                footer = footer)
-    class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
-  }
-  return(tab)
-}
-
-#' @export
-print.ss_tbl <- function(sstable){
-  class(sstable) <- 'matrix'
-  print(sstable)
-}
diff --git a/R/toolkits.R b/R/toolkits.R
deleted file mode 100644
index b6c256f..0000000
--- a/R/toolkits.R
+++ /dev/null
@@ -1,194 +0,0 @@
-#' Do a simple recode via pattern for data
-#'
-#' @description
-#' A function to re-encode data by using a map. Patterns are accepted. Unmentioned data are left intact.
-#'
-#' Method for class data.frame supports a robust replacement for data by providing relevant map in the form of var = map.
-#'
-#' @param x a vector
-#' @param map
-#' A map.
-#'
-#' Map can be a list in the form of recoded_text = c(to_be_recoded_text)
-#'
-#' Or as a data frame having 2 columns named "from" and "to".
-#'
-#' @param as A character string defining the post-recoded data type of x. Default is keeping as-is.
-#' @param ignore.case,perl Parameters passed to gsub().
-#' @param .data A data frame to modify
-#' @param ...
-#' For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
-#'
-#' For default method: Additional parameters passed to factor()
-#'
-#' @param ignore.case Specify whether the pattern is case-insensitive. Default is FALSE (case sensitive)
-#' @param perl Are patterns follow the Perl-style regular expression.
-#' @return A data frame with recoded variables.
-#' @seealso \link{regex} \link{case_when}
-#'
-#' @return
-#' If input is a vector, return a vector of the same length.
-#'
-#' If input is a data frame, return a data frame with relevant variables recoded.
-#'
-#' @export
-simple_recode <- function(...){
-  UseMethod('simple_recode')
-}
-
-#' @rdname simple_recode
-#' @aliases recode_var var_recode
-#' @method simple_recode data.frame
-#' @export
-simple_recode.data.frame <- function(.data, ..., ignore.case = FALSE, fixed = FALSE, perl = TRUE){
-  .maps <- list(...)
-  .vars <- names(.maps)
-  for (.var in .vars){
-    .data[[.var]] <- simple_recode.default(x = .data[[.var]], map = .maps[[.var]], ignore.case = ignore.case, fixed = fixed, perl = perl)
-  }
-  return(.data)
-}
-
-#' @rdname simple_recode
-#' @method simple_recode default
-#' @export
-simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', 'character', 'logical'), ignore.case = FALSE, fixed = FALSE, perl = TRUE, ...){
-  requireNamespace('tidyr')
-  as <- match.arg(as)
-  if (missing(map)) stop ('A conversion map should be provided!')
-
-  if (is.data.frame(map)) Map <- map
-  else {
-    Map <- data.frame(
-      to = unlist(lapply(names(map),
-                         function(name) rep(name, length(map[[name]])))),
-      from = unlist(map),
-      stringsAsFactors = FALSE
-    )}
-
-  if (length(Map$from) != length(unique(Map$from))) stop('Patterns should be unique.')
-
-  x.recoded <- x
-  for (i in 1:nrow(Map)){
-    if (is.na(Map$from[i])) x.recoded <- tidyr::replace_na(x.recoded, Map$to[i])
-    else x.recoded <- gsub(Map$from[i], Map$to[i], x.recoded, ignore.case = ignore.case, fixed = fixed, perl=perl)
-  }
-
-
-  if (as != 'as_is') {
-    x.recoded <-
-      switch(as,
-             numeric = as.numeric(x.recoded),
-             character = as.character(x.recoded),
-             factor = factor(x.recoded, ...),
-             logical = as.logical(x.recoded))
-  } else {
-    if (is.factor(x)) {
-      tryCatch(if(length(levels(x))==2) x.recoded <- as.logical(x.recoded),
-               error = function(e){
-                 levels.x <- levels(x)
-                 levels.recoded <- simple_recode(levels.x, map=Map)
-                 x.recoded <- factor(x.recoded, levels = levels.recoded)
-               })
-    }
-    if (is.numeric(x)) x.recode <- tryCatch(as.numeric(x.recoded), warning = function(w) x.recoded)
-  }
-  return(x.recoded)
-}
-
-
-`do_to<-` <- function(x, value){
-  match.fun(value)(x)
-}
-
-#' Get or set the reference level
-#' @description A function to quickly get or set the reference level of a factor
-#' @export
-ref_lv <- function(x){
-  UseMethod('ref_lv')
-}
-
-#' @rdname ref_lv
-#' @param x A factor
-#' @return A character object the represents the reference level
-#' @export
-ref_lv.factor <- function(x){
-  levels(x)[[1]]
-}
-
-#' @rdname ref_lv
-#' @export
-`ref_lv<-` <- function(x, value){
-  UseMethod('ref_lv<-')
-}
-
-#' @rdname ref_lv
-#' @param value An existing level to be set as reference
-#' @export
-`ref_lv<-.factor` <- function(x, value){
-  relevel(x, value)
-}
-
-#' Get the proportion for each level or range of a vector
-#' @description A function to calculate the proportion of each value range
-#' @param x An object
-#' @param method
-#' A method to calculate the percentage.
-#' Default is 'auto' which will attempt to choose the most fit method.
-#' 'bin' is only meaningful for vector that only has to values.
-#' 'fct' is meaningful for descrete variable
-#' 'cont' is used for continuous variables. This will break the variable into several ranges
-#' depended on the breaks specified in ...
-#' @param na.rm A logical value deciding whether NA should be removed
-#' @param ... Break points to cut the continuous variables into ranges. These are passed to function cut.
-#' See \link{cut}
-#' @return
-#' If method == 'bin': the percentage of non-reference level
-#'
-#' If method == 'fct': the percentages of all levels
-#'
-#' If method == 'cont': the percentages of all ranges based on specified breaks
-#' @export
-pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
-  method <- match.arg(method)
-  if (method == 'auto') method <- ._pct_get_method(unlist(x))
-
-  if (method == 'bin' & !is.logical(x)){
-    if (length(unique(x)) > 2) stop('Forcing binary method for factor variable is meaningless.')
-    if (length(unique(x)) == 1) return(100)
-    warning('Binary method apply to non logical variable. This will calculate the pct of x != ref_lv')
-    x <- x == levels(as.factor(x))[2]
-  }
-
-  res <- switch(method,
-                bin = ._pct_bin(x, na.rm),
-                cont = ._pct_cont(x, na.rm, ...),
-                fct = ._pct_fct(x, na.rm))
-
-  return(res)
-}
-
-._pct_get_method <- function(x){
-  if (is.logical(x) | length(unique(x)) <= 2) return('bin')
-  if (is.factor(x) | is.character(x) | (is.numeric(x) & length(unique(x)) <= 5)) return('fct')
-  return('cont')
-}
-
-._pct_bin <- function(x, na.rm = TRUE){
-  n <- if (na.rm) sum(!is.na(x)) else length(x)
-  return(sum(x)/n*100)
-}
-
-._pct_fct <- function(x, na.rm = TRUE){
-  n <- if (na.rm) sum(!is.na(x)) else length(x)
-  lvs <- if (na.rm) levels(x) else levels(addNA(x, ifany = TRUE))
-  sapply(lvs,
-         function(lv){
-           sum(x == lv)/n*100
-         })
-}
-
-._pct_cont <- function(x, na.rm = TRUE, ...){
-  x <- cut(x, ...)
-  pct(x, method = 'auto', na.rm = na.rm)
-}
diff --git a/README.Rmd b/README.Rmd
deleted file mode 100644
index 53f0540..0000000
--- a/README.Rmd
+++ /dev/null
@@ -1,31 +0,0 @@
----
-output: github_document
----
-
-<!-- README.md is generated from README.Rmd. Please edit that file -->
-
-```{r, echo = FALSE}
-knitr::opts_chunk$set(
-  collapse = TRUE,
-  comment = "#>",
-  fig.path = "README-"
-)
-```
-
-# C306
-
-This package provides a collection of useful R codes for data analysis from the Biostatistics group at OUCRU-HCM.
-
-## Installation
-
-You can install C306 from github with:
-
-```{r gh-installation, eval = FALSE}
-# install.packages("devtools")
-devtools::install_github("lampk/C306")
-```
-
-## Website
-
-Documentation of this package can be found at:
-[http://lampk.github.io/C306/](http://lampk.github.io/C306/)
diff --git a/README.md b/README.md
deleted file mode 100644
index c27583c..0000000
--- a/README.md
+++ /dev/null
@@ -1,21 +0,0 @@
-
-<!-- README.md is generated from README.Rmd. Please edit that file -->
-
-# C306
-
-This package provides a collection of useful R codes for data analysis
-from the Biostatistics group at OUCRU-HCM.
-
-## Installation
-
-You can install C306 from github with:
-
-``` r
-# install.packages("devtools")
-devtools::install_github("oucru-biostats/C306")
-```
-
-## Website
-
-Documentation of this package can be found at:
-<http://lampk.github.io/C306/>
diff --git a/docs/articles/data_analysis_pipeline.html b/docs/articles/data_analysis_pipeline.html
deleted file mode 100644
index 27859ee..0000000
--- a/docs/articles/data_analysis_pipeline.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en">
-<head>
-<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>Data analysis pipeline • C306</title>
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-      <h1>Data analysis pipeline</h1>
-                        <h4 class="author">Lam Phung Khanh</h4>
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-            <h4 class="date">2018-11-24</h4>
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-<p>This vignette summarise one approach to data analysis pipeline and layouts how functions in this package fit to this pipeline.</p>
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diff --git a/docs/articles/figures/C306.png b/docs/articles/figures/C306.png
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-                        <h4 class="author">Lam Phung Khanh</h4>
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-            <h4 class="date">2018-11-24</h4>
-      
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-    
-<p>This vignette tries to explain how a formula to supply to function sstable.baseline() can be formulate.</p>
-<div id="basic-types-of-table" class="section level2">
-<h2 class="hasAnchor">
-<a href="#basic-types-of-table" class="anchor"></a>Basic types of table</h2>
-<p>A table can be used to display summary information of one or several variables. A specific table can summarize information of variable(s) X(s) on all subjects, by groups of variable Y, or summarize variable Z by variable X and variable Y. There are different ways these summaries statistics can be derived, depending on the existence and type of variables X, Y and Z. Figure 1 below summarizes 4 basic types of table and how to specify them using the sstable.baseline() function in this package:</p>
-<div class="figure">
-<img src="figures/sstable1.png" alt="Figure 1. Four basic types of table and the corresponding sstable.baseline() syntax and constraint on existence and type of relevant variables" style="width:90.0%"><p class="caption"><em>Figure 1. Four basic types of table and the corresponding sstable.baseline() syntax and constraint on existence and type of relevant variables</em></p>
-</div>
-</div>
-<div id="basic-layouts-of-table" class="section level2">
-<h2 class="hasAnchor">
-<a href="#basic-layouts-of-table" class="anchor"></a>Basic layouts of table</h2>
-<p>Figure 2 displays 4 basic layouts of table corresponding to 4 basic table types mentioned in Figure 1:</p>
-<div class="figure">
-<img src="figures/sstable2.png" alt="Figure 2. Four basic layouts of table" style="width:90.0%"><p class="caption"><em>Figure 2. Four basic layouts of table</em></p>
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-<div id="c306" class="section level1">
-<div class="page-header"><h1 class="hasAnchor">
-<a href="#c306" class="anchor"></a>C306</h1></div>
-<p>This package provides a collection of useful R codes for data analysis from the Biostatistics group at OUCRU-HCM.</p>
-<div id="installation" class="section level2">
-<h2 class="hasAnchor">
-<a href="#installation" class="anchor"></a>Installation</h2>
-<p>You can install C306 from github with:</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="co"># install.packages("devtools")</span></a>
-<a class="sourceLine" id="cb1-2" title="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/install_github">install_github</a></span>(<span class="st">"lampk/C306"</span>)</a></code></pre></div>
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-<a href="#website" class="anchor"></a>Website</h2>
-<p>Documentation of this package can be found at: <a href="http://lampk.github.io/C306/index.html">http://lampk.github.io/C306/index.html</a></p>
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-<h2>License</h2>
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-<li>The <a href="https://opensource.org/licenses/mit-license.php">MIT</a> License (<a href="https://opensource.org/licenses/mit-license.php">MIT</a>)</li>
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-<h2>Developers</h2>
-<ul class="list-unstyled">
-<li>Lam Phung Khanh <br><small class="roles"> Maintainer </small>  </li>
-</ul>
-</div>
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diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
deleted file mode 100644
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diff --git a/docs/reference/contSummary.html b/docs/reference/contSummary.html
deleted file mode 100644
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-  <span class='st'>"mean.sd"</span>), <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>n</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</pre>
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-
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diff --git a/docs/reference/convert.info.html b/docs/reference/convert.info.html
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-    
-    <div class="hidden name"><code>convert.info.Rd</code></div>
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-    <div class="ref-description">
-    
-    <p>A function to convert imported OUCRU's data dictionary into a general data dictionary.</p>
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-    <pre class="usage"><span class='fu'>convert.info</span>(<span class='no'>oucru_info</span>, <span class='no'>oucru_category</span>)</pre>
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-    <table class="ref-arguments">
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-    <tr>
-      <th>oucru_info</th>
-      <td><p>a data frame contains imported data of a sheet from OUCRU's data dictionary.</p></td>
-    </tr>
-    <tr>
-      <th>oucru_category</th>
-      <td><p>a data frame specifies how categorical variables are coded in OUCRU's database.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>A data frame contains data dictionary information in a general format.</p>
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diff --git a/docs/reference/createProject.html b/docs/reference/createProject.html
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-    <div class="hidden name"><code>createProject.Rd</code></div>
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-
-    <div class="ref-description">
-    
-    <p>A generic function to create a project's folder based on pre-defined folder structure.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>createProject</span>(<span class='no'>dir</span>, <span class='kw'>structure</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"OUCRU_RCT_wInterim"</span>))</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>dir</th>
-      <td><p>a character specifies where to create the project's folder.</p></td>
-    </tr>
-    <tr>
-      <th>structure</th>
-      <td><p>a character specifies the pre-defined folder structure to be used.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>A message to confirm that the project's folder is created at the designed place.</p>
-    
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diff --git a/docs/reference/getlabel.html b/docs/reference/getlabel.html
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-    
-    <div class="hidden name"><code>getlabel.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to obtain label of one vector or each variable in one data frame based on pre-defined metadata information.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>getlabel</span>(<span class='no'>x</span>, <span class='kw'>meta</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>unit</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>fit</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>x</th>
-      <td><p>a vector or data frame to get label.</p></td>
-    </tr>
-    <tr>
-      <th>meta</th>
-      <td><p>a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).</p></td>
-    </tr>
-    <tr>
-      <th>unit</th>
-      <td><p>a logical value specifies whether unit will be appendded in the label of continous variables.</p></td>
-    </tr>
-    <tr>
-      <th>fit</th>
-      <td><p>a logical value specifies whether the label will use presentation as in model fitting.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>vector of character of label</p>
-    
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-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
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diff --git a/docs/reference/hello.html b/docs/reference/hello.html
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-      <th>table_name</th>
-      <td><p>a character vector specifies names of Excel sheets (in OUCRU's data dictionary) to be imported.</p></td>
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-      <th>input</th>
-      <td><p>a character value specifies path to the OUCRU's data dictionary file (in Excel format).</p></td>
-    </tr>
-    <tr>
-      <th>output</th>
-      <td><p>a character value specifies where to save imported data.</p></td>
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-      <tr>
-        
-        <td>
-          <p><code><a href="contSummary.html">contSummary()</a></code> </p>
-        </td>
-        <td><p>Calculate summary statistics for continuous variable</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="convert.info.html">convert.info()</a></code> </p>
-        </td>
-        <td><p>Convert imported OUCRU's data dictionary into a general data dictionary</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="createProject.html">createProject()</a></code> </p>
-        </td>
-        <td><p>Create project's folder based on pre-defined folder structure</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="getlabel.html">getlabel()</a></code> </p>
-        </td>
-        <td><p>Obtain label of variable(s) based on metadata information</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="hello.html">hello()</a></code> </p>
-        </td>
-        <td><p>Hello, World!</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="import.info.html">import.info()</a></code> </p>
-        </td>
-        <td><p>Import OUCRU's data dictionary into R</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="inspect.data.html">inspect.data()</a></code> </p>
-        </td>
-        <td><p>Check formatted data based on a pre-defined information</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="labAE.html">labAE()</a></code> </p>
-        </td>
-        <td><p>Identify new lab adverse event to report</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="myformat.data.html">myformat.data()</a></code> </p>
-        </td>
-        <td><p>Format data based on pre-defined information</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="sstable.ae.html">sstable.ae()</a></code> </p>
-        </td>
-        <td><p>Create an adverse event summary table</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="sstable.baseline.html">sstable.baseline()</a></code> </p>
-        </td>
-        <td><p>Create baseline table</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="sstable.survcomp.html">sstable.survcomp()</a></code> </p>
-        </td>
-        <td><p>Summarize results for a Cox survival model with the treatment arm as the main covariate</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="sstable.survcomp.subgroup.html">sstable.survcomp.subgroup()</a></code> </p>
-        </td>
-        <td><p>Summarize results for a Cox survival model by treatment arm and subgroup</p></td>
-      </tr>
-    </tbody>
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-    <h1>Check formatted data based on a pre-defined information</h1>
-    
-    <div class="hidden name"><code>inspect.data.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to check a formatted data frame based on a pre-defined information.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>inspect.data</span>(<span class='no'>data</span>, <span class='no'>info</span>, <span class='no'>id</span>, <span class='kw'>check_missing</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='fl'>TRUE</span>, <span class='fl'>FALSE</span>),
-  <span class='kw'>plot</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>prefix</span> <span class='kw'>=</span> <span class='st'>""</span>, <span class='no'>outdir</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>data</th>
-      <td><p>a formatted data frame to be checked.</p></td>
-    </tr>
-    <tr>
-      <th>info</th>
-      <td><p>a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable), condition (character variable specifies conditional checking), strict (a character variable [Yes, No] specifies whether missing data should be checked for each variable).</p></td>
-    </tr>
-    <tr>
-      <th>id</th>
-      <td><p>a character specifies name of subject id variable.</p></td>
-    </tr>
-    <tr>
-      <th>check_missing</th>
-      <td><p>a logical value specifies whether missing data should be checked.</p></td>
-    </tr>
-    <tr>
-      <th>plot</th>
-      <td><p>a logical value specifies whether plot (bar plot for categorical variables, boxplot for continuous variables) should be produced.</p></td>
-    </tr>
-    <tr>
-      <th>prefix</th>
-      <td><p>a character to be appended as prefix of all output files.</p></td>
-    </tr>
-    <tr>
-      <th>outdir</th>
-      <td><p>a character specifies where to save output files.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>A data frame lists all identified potential data errors.</p>
-    
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-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
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diff --git a/docs/reference/labAE.html b/docs/reference/labAE.html
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-    <h1>Identify new lab adverse event to report</h1>
-    
-    <div class="hidden name"><code>labAE.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to identify new lab adverse event to report from a vector of consecutive lab adverse event grade.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>labAE</span>(<span class='no'>data</span>, <span class='no'>gradecut</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>data</th>
-      <td><p>a numeric vector of consecutive lab adverse event grade.</p></td>
-    </tr>
-    <tr>
-      <th>gradecut</th>
-      <td><p>a grade threshold to report.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>A factor specifies whether new lab adverse event to report is identified or not.</p>
-    
-
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-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
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diff --git a/docs/reference/myformat.data.html b/docs/reference/myformat.data.html
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-    
-    <div class="hidden name"><code>myformat.data.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to format each variable in data frame based on pre-defined information.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>myformat.data</span>(<span class='no'>data</span>, <span class='no'>info</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>data</th>
-      <td><p>a data frame contains variables to be formatted</p></td>
-    </tr>
-    <tr>
-      <th>info</th>
-      <td><p>a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable).</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>a data frame with variables are formatted according information specified in info</p>
-    
-
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
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-      <li><a href="#value">Value</a></li>
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diff --git a/docs/reference/sstable.ae.html b/docs/reference/sstable.ae.html
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-    <h1>Create an adverse event summary table</h1>
-    
-    <div class="hidden name"><code>sstable.ae.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to create a simple adverse event summary table.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>sstable.ae</span>(<span class='no'>ae_data</span>, <span class='no'>fullid_data</span>, <span class='no'>id.var</span>, <span class='no'>aetype.var</span>, <span class='kw'>grade.var</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='no'>arm.var</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>0</span>, <span class='kw'>test</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>0.001</span>,
-  <span class='kw'>chisq.test</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>correct</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>simulate.p.value</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
-  <span class='kw'>B</span> <span class='kw'>=</span> <span class='fl'>2000</span>, <span class='kw'>workspace</span> <span class='kw'>=</span> <span class='fl'>1e+06</span>, <span class='kw'>hybrid</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>ae_data</th>
-      <td><p>a data frame contains adverse event data.</p></td>
-    </tr>
-    <tr>
-      <th>fullid_data</th>
-      <td><p>a data frame contains treatment arm data of all participants (not just those had adverse event).</p></td>
-    </tr>
-    <tr>
-      <th>id.var</th>
-      <td><p>a character specifies name of study id variable (exists in both adverse event data and treatment arm data).</p></td>
-    </tr>
-    <tr>
-      <th>aetype.var</th>
-      <td><p>a character specifies name of adverse event type variable (exists in adverse event data).</p></td>
-    </tr>
-    <tr>
-      <th>grade.var</th>
-      <td><p>a character specifies name of adverse event grade variable (exists in adverse event data).</p></td>
-    </tr>
-    <tr>
-      <th>arm.var</th>
-      <td><p>a character specifies name of treatment arm variable (exists in treatment arm data).</p></td>
-    </tr>
-    <tr>
-      <th>digits</th>
-      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
-    </tr>
-    <tr>
-      <th>test</th>
-      <td><p>a logical value specifies whether a statistical test will be performed to compare between treatment arms.</p></td>
-    </tr>
-    <tr>
-      <th>pdigits</th>
-      <td><p>a number specifies number of significant digits for p value.</p></td>
-    </tr>
-    <tr>
-      <th>pcutoff</th>
-      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
-    </tr>
-    <tr>
-      <th>chisq.test</th>
-      <td><p>a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.</p></td>
-    </tr>
-    <tr>
-      <th>correct</th>
-      <td><p>a parameter for chisq.test().</p></td>
-    </tr>
-    <tr>
-      <th>simulate.p.value</th>
-      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>B</th>
-      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>workspace</th>
-      <td><p>a parameter for fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>hybrid</th>
-      <td><p>a parameter for fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>footer</th>
-      <td><p>a vector of strings to be used as footnote of table.</p></td>
-    </tr>
-    <tr>
-      <th>flextable</th>
-      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
-    </tr>
-    <tr>
-      <th>bg</th>
-      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>a flextable-type table or a list with values/headers/footers</p>
-    
-
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
-      
-      <li><a href="#value">Value</a></li>
-          </ul>
-
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-</div>
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-      <div class="copyright">
-  <p>Developed by Lam Phung Khanh.</p>
-</div>
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diff --git a/docs/reference/sstable.baseline.html b/docs/reference/sstable.baseline.html
deleted file mode 100644
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-    <h1>Create baseline table</h1>
-    
-    <div class="hidden name"><code>sstable.baseline.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to create a simple summary baseline table.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>sstable.baseline</span>(<span class='no'>formula</span>, <span class='no'>data</span>, <span class='kw'>bycol</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>pooledGroup</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
-  <span class='kw'>statistics</span> <span class='kw'>=</span> <span class='st'>"med.IQR"</span>, <span class='kw'>continuous</span> <span class='kw'>=</span> <span class='fl'>NA</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>1</span>,
-  <span class='kw'>test</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>1e-04</span>, <span class='kw'>chisq.test</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
-  <span class='kw'>correct</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>simulate.p.value</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>B</span> <span class='kw'>=</span> <span class='fl'>2000</span>,
-  <span class='kw'>workspace</span> <span class='kw'>=</span> <span class='fl'>1e+06</span>, <span class='kw'>hybrid</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>formula</th>
-      <td><p>a formula specifies variables for rows, variable for column and third-dimension variable.</p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>a data frame to derive baseline table from.</p></td>
-    </tr>
-    <tr>
-      <th>bycol</th>
-      <td><p>a logical value specifies whether the summary will be by column or by row.</p></td>
-    </tr>
-    <tr>
-      <th>pooledGroup</th>
-      <td><p>a logical value specifies whether to pool all subgroups of column variable.</p></td>
-    </tr>
-    <tr>
-      <th>statistics</th>
-      <td><p>a character specifies summary statistics for continuous row variables.</p></td>
-    </tr>
-    <tr>
-      <th>continuous</th>
-      <td><p>a logical vector specifies whether each row variables is continuous or categorical.</p></td>
-    </tr>
-    <tr>
-      <th>digits</th>
-      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
-    </tr>
-    <tr>
-      <th>test</th>
-      <td><p>a logical value specifies whether a statistical test will be performed to compare between treatment arms.</p></td>
-    </tr>
-    <tr>
-      <th>pdigits</th>
-      <td><p>a number specifies number of significant digits for p value.</p></td>
-    </tr>
-    <tr>
-      <th>pcutoff</th>
-      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
-    </tr>
-    <tr>
-      <th>chisq.test</th>
-      <td><p>a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.</p></td>
-    </tr>
-    <tr>
-      <th>correct</th>
-      <td><p>a parameter for chisq.test().</p></td>
-    </tr>
-    <tr>
-      <th>simulate.p.value</th>
-      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>B</th>
-      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>workspace</th>
-      <td><p>a parameter for fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>hybrid</th>
-      <td><p>a parameter for fisher.test().</p></td>
-    </tr>
-    <tr>
-      <th>footer</th>
-      <td><p>a vector of strings to be used as footnote of table.</p></td>
-    </tr>
-    <tr>
-      <th>flextable</th>
-      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
-    </tr>
-    <tr>
-      <th>bg</th>
-      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>a flextable-type table or a list with values/headers/footers</p>
-    
-
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
-      
-      <li><a href="#value">Value</a></li>
-          </ul>
-
-  </div>
-</div>
-
-      <footer>
-      <div class="copyright">
-  <p>Developed by Lam Phung Khanh.</p>
-</div>
-
-<div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
-</div>
-      </footer>
-   </div>
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-
-  </body>
-</html>
-
diff --git a/docs/reference/sstable.survcomp.html b/docs/reference/sstable.survcomp.html
deleted file mode 100644
index b53b586..0000000
--- a/docs/reference/sstable.survcomp.html
+++ /dev/null
@@ -1,210 +0,0 @@
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-    <h1>Summarize results for a Cox survival model with the treatment arm as the main covariate</h1>
-    
-    <div class="hidden name"><code>sstable.survcomp.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>sstable.survcomp</span>(<span class='no'>model</span>, <span class='no'>data</span>, <span class='kw'>add.risk</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
-  <span class='kw'>add.prop.haz.test</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>medsum</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>2</span>, <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>,
-  <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>0.001</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>model</th>
-      <td><p>a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.</p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>a data frame to fir the Cox survival model.</p></td>
-    </tr>
-    <tr>
-      <th>add.risk</th>
-      <td><p>a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.</p></td>
-    </tr>
-    <tr>
-      <th>add.prop.haz.test</th>
-      <td><p>a logical value specifies whether a test for proportional hazards should be added.</p></td>
-    </tr>
-    <tr>
-      <th>medsum</th>
-      <td><p>a logical value specifies whether median (IQR) of time to event should be described.</p></td>
-    </tr>
-    <tr>
-      <th>digits</th>
-      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
-    </tr>
-    <tr>
-      <th>pdigits</th>
-      <td><p>a number specifies number of significant digits for p value.</p></td>
-    </tr>
-    <tr>
-      <th>pcutoff</th>
-      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
-    </tr>
-    <tr>
-      <th>footer</th>
-      <td><p>a vector of strings to be used as footnote of table.</p></td>
-    </tr>
-    <tr>
-      <th>flextable</th>
-      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
-    </tr>
-    <tr>
-      <th>bg</th>
-      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>a flextable-type table or a list with values/headers/footers</p>
-    
-
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
-      
-      <li><a href="#value">Value</a></li>
-          </ul>
-
-    <h2>Author</h2>
-    <p>This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.</p>
-  </div>
-</div>
-
-      <footer>
-      <div class="copyright">
-  <p>Developed by Lam Phung Khanh.</p>
-</div>
-
-<div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
-</div>
-      </footer>
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-</html>
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diff --git a/docs/reference/sstable.survcomp.subgroup.html b/docs/reference/sstable.survcomp.subgroup.html
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-    <div class="page-header">
-    <h1>Summarize results for a Cox survival model by treatment arm and subgroup</h1>
-    
-    <div class="hidden name"><code>sstable.survcomp.subgroup.Rd</code></div>
-    </div>
-
-    <div class="ref-description">
-    
-    <p>A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.</p>
-    
-    </div>
-
-    <pre class="usage"><span class='fu'>sstable.survcomp.subgroup</span>(<span class='no'>base.model</span>, <span class='no'>subgroup.model</span>, <span class='no'>data</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>2</span>,
-  <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>0.001</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
-  <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>, <span class='no'>...</span>)</pre>
-    
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>base.model</th>
-      <td><p>a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).</p></td>
-    </tr>
-    <tr>
-      <th>subgroup.model</th>
-      <td><p>a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).</p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>a data frame to fir the Cox survival model.</p></td>
-    </tr>
-    <tr>
-      <th>digits</th>
-      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
-    </tr>
-    <tr>
-      <th>pdigits</th>
-      <td><p>a number specifies number of significant digits for p value.</p></td>
-    </tr>
-    <tr>
-      <th>pcutoff</th>
-      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
-    </tr>
-    <tr>
-      <th>footer</th>
-      <td><p>a vector of strings to be used as footnote of table.</p></td>
-    </tr>
-    <tr>
-      <th>flextable</th>
-      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
-    </tr>
-    <tr>
-      <th>bg</th>
-      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>arguments that are passed to sstable.survcomp.</p></td>
-    </tr>
-    </table>
-    
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>a flextable-type table or a list with values/headers/footers</p>
-    
-
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
-    <h2>Contents</h2>
-    <ul class="nav nav-pills nav-stacked">
-      <li><a href="#arguments">Arguments</a></li>
-      
-      <li><a href="#value">Value</a></li>
-          </ul>
-
-    <h2>Author</h2>
-    <p>This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.</p>
-  </div>
-</div>
-
-      <footer>
-      <div class="copyright">
-  <p>Developed by Lam Phung Khanh.</p>
-</div>
-
-<div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
-</div>
-      </footer>
-   </div>
-
-  
-
-  </body>
-</html>
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/01_import.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/01_import.R
deleted file mode 100644
index 2afcf4c..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/01_import.R
+++ /dev/null
@@ -1,23 +0,0 @@
-##******************************************************************************
-## Import raw data into R
-## Author:
-## Version:
-##******************************************************************************
-
-# set up ------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-# import ------------------------------------------------------------------
-
-## import raw data from file.path("..", "Data", "Raw", "Final")
-
-## import metadata from file.path("..", "Data", "Info")
-
-# save --------------------------------------------------------------------
-
-## save as .Rdata in file.path("..", "Data", "Imported")
-save(..., file = file.path("..", "Data", "Imported", "xxx.Rdata"))
-
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/02_clean.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/02_clean.R
deleted file mode 100644
index 3a0bfb5..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/02_clean.R
+++ /dev/null
@@ -1,24 +0,0 @@
-##******************************************************************************
-## Check and Clean imported data
-## Author:
-## Version:
-##******************************************************************************
-
-# set up ------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-## load imported data from file.path("..", "Data", "Imported")
-load(file.path("..", "Data", "Imported", "xxx.Rdata"))
-
-# check -------------------------------------------------------------------
-
-
-# clean -------------------------------------------------------------------
-
-
-# save --------------------------------------------------------------------
-
-## save as .Rdata in file.path("..", "Data", "Cleaned")
-save(..., file = file.path("..", "Data", "Cleaned", "xxx.Rdata"))
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/03_createVAD.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/03_createVAD.R
deleted file mode 100644
index 87dc20d..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/03_createVAD.R
+++ /dev/null
@@ -1,26 +0,0 @@
-##******************************************************************************
-## Create value-added data for analysis
-## Author:
-## Version:
-##******************************************************************************
-
-# set up ------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-## load imported data from file.path("..", "Data", "Cleaned")
-load(file.path("..", "Data", "Cleaned", "xxx.Rdata"))
-
-# format ------------------------------------------------------------------
-
-
-# manipulate --------------------------------------------------------------
-
-
-# save --------------------------------------------------------------------
-
-## save as .Rdata in file.path("..", "Data", "VAD")
-save(..., file = file.path("..", "Data", "VAD", "xxx.Rdata"))
-
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/04_analysis.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/04_analysis.R
deleted file mode 100644
index 845b019..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/04_analysis.R
+++ /dev/null
@@ -1,38 +0,0 @@
-##******************************************************************************
-## Main analysis
-## Author:
-## Version:
-##******************************************************************************
-
-
-# setup -------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-## load functions
-# source(file.path("functions", "xxx.R"))
-
-## fake or real analysis
-## (T for all analysis based on the dummy (fake) randomization list; set to F for the real analysis)
-dummy <- TRUE
-
-## import randomization list
-randolist <- read.csv(file.path("..", "Data", "RandomizationList", "xxx.csv"))
-arm_levels <- ifelse(dummy == TRUE,
-                     paste("Dummy", LETTERS[1:length(unique(randolist$arm))]),
-                     unique(randolist$arm))
-randolist$arm <- factor(randolist$arm, levels = arm_levels)
-
-## load data
-load(file.path("..", "Data", "VAD", "xxx.Rdata"))
-
-
-# analysis ----------------------------------------------------------------
-
-## intermediate results/R objects should be saved in folder tmp
-## figures should be saved in folder figures
-
-
-
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/05_report.Rmd b/inst/structure/OUCRU_RCT_wInterim/Analysis/05_report.Rmd
deleted file mode 100644
index 8dbcdfc..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/05_report.Rmd
+++ /dev/null
@@ -1,49 +0,0 @@
----
-title: "Analysis (BLINDED VERSION)"
-author: "Code preparation: "
-date: "`r Sys.Date()`"
-output:
-   html_document:
-    toc: true
-    theme: cerulean   
----
-
-## Background
-
-```{r set_up, echo = FALSE}
-## load required libraries and functions
-
-## fake or real analysis 
-## (T for all analysis based on the dummy (fake) randomization list; set to F for the real analysis)
-dummy <- TRUE
-
-## import randomization list
-randolist <- read.csv(file.path("..", "Data", "RandomizationList", "xxx.csv"))
-arm_levels <- ifelse(dummy == TRUE,
-                     paste("Dummy", LETTERS[1:length(unique(randolist$arm))]),
-                     unique(randolist$arm))
-randolist$arm <- factor(randolist$arm, levels = arm_levels)
-
-## import VAD from file.path("..", "Data", "VAD")
-load(file.path("..", "Data", "VAD", "xxx.Rdata"))
-
-## merge randomization list with data
-```
-
-## General description
-
-## Primary endpoints
-
-## Secondary endpoints
-
-## Adverse events
-
-### Clinical adverse events
-
-### Laboratory adverse events
-
-## Additional analyses
-
-## Appendix
-
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/Readme.txt
deleted file mode 100644
index 6da1763..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/Readme.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-This folder contains all codes for the final analysis.
-
-To prepare data for the interim analysis:
-1) Run interim_01_import.R
-2) Run interim_02_clean.R
-3) Run interim_03_createVAD.R
-(.Rdata files should be saved in Data and InterimAnalysis folders at the top level)
-
-To prepare data for the final analysis:
-1) Run 01_import.R
-2) Run 02_clean.R
-3) Run 03_createVAD.R
-(.Rdata files should be saved in Data at the top level)
-
-To reproduce the final analysis:
-1) Run 04_analysis.R
-2) Run 05_report.Rmd
-(figures should be saved in subfolder figures)
-
-Additional functions/libraries should be saved in subfolder functions
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/figures/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/figures/Readme.txt
deleted file mode 100644
index 383324f..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/figures/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains graphical output.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/functions/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/functions/Readme.txt
deleted file mode 100644
index 6a288f1..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/functions/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains all additional functions/packages
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_01_import.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_01_import.R
deleted file mode 100644
index e531dda..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_01_import.R
+++ /dev/null
@@ -1,21 +0,0 @@
-##******************************************************************************
-## Import raw interim data into R
-## Author:
-## Version:
-##******************************************************************************
-
-# set up ------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-# import ------------------------------------------------------------------
-
-## import raw data from file.path("..", "Data", "Raw", "Interim")
-
-## import metadata from file.path("..", "Data", "Info")
-
-# save --------------------------------------------------------------------
-
-## save as .Rdata in file.path("..", "Data", "Imported")
-save(..., file = file.path("..", "Data", "Imported", "interim_xxx.Rdata"))
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_02_clean.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_02_clean.R
deleted file mode 100644
index d541973..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_02_clean.R
+++ /dev/null
@@ -1,24 +0,0 @@
-##******************************************************************************
-## Check and Clean imported interim data
-## Author:
-## Version:
-##******************************************************************************
-
-# set up ------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-## load imported data from file.path("..", "Data", "Imported")
-load(file.path("..", "Data", "Imported", "interim_xxx.Rdata"))
-
-# check -------------------------------------------------------------------
-
-
-# clean -------------------------------------------------------------------
-
-
-# save --------------------------------------------------------------------
-
-## save as .Rdata in file.path("..", "Data", "Cleaned")
-save(..., file = file.path("..", "Data", "Cleaned", "interim_xxx.Rdata"))
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_03_createVAD.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_03_createVAD.R
deleted file mode 100644
index 4cbb65a..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_03_createVAD.R
+++ /dev/null
@@ -1,27 +0,0 @@
-##******************************************************************************
-## Create value-added data for analysis
-## Author:
-## Version:
-##******************************************************************************
-
-# set up ------------------------------------------------------------------
-
-## set working directory
-setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
-
-## load imported data from file.path("..", "Data", "Cleaned")
-load(file.path("..", "Data", "Cleaned", "interim_xxx.Rdata"))
-
-# format ------------------------------------------------------------------
-
-
-# manipulate --------------------------------------------------------------
-
-
-# save --------------------------------------------------------------------
-
-## save as .Rdata in file.path("..", "Data", "VAD")
-save(..., file = file.path("..", "Data", "VAD", "interim_xxx.Rdata"))
-save(..., file = file.path("..", "InterimAnalysis", "InterimAnalysis_01", "Data", "InterimData", "interim_xxx.Rdata"))
-
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/tmp/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/tmp/Readme.txt
deleted file mode 100644
index 27ae940..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Analysis/tmp/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains intermediate/temporary outputs.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Cleaned/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Cleaned/Readme.txt
deleted file mode 100644
index c70aa95..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Cleaned/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains cleaned data.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Imported/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Imported/Readme.txt
deleted file mode 100644
index 0c8b6a9..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Imported/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains data imported to R from raw data
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Info/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Info/Readme.txt
deleted file mode 100644
index 408ef11..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Info/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains metadata information of the database.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/RandomizationList/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/RandomizationList/Readme.txt
deleted file mode 100644
index aaaf1d6..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/RandomizationList/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains randomization list(s)
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Final/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Final/Readme.txt
deleted file mode 100644
index 156886b..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Final/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains raw data for final analysis.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Interim/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Interim/Readme.txt
deleted file mode 100644
index 8cf9e95..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Interim/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains raw data for interim analysis.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Readme.txt
deleted file mode 100644
index fece4d8..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Readme.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-This folder contains raw data
-
-Subfolder:
-- Interim: raw data for interim analysis
-- Final:   raw data for final analysis
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Readme.txt
deleted file mode 100644
index 7f23e2c..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/Readme.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-This folder stores all data required for the analysis
-1) Raw: stores raw data in the Access database (.mdb) format, plus the data dictionary
-2) Randomization_list: stores randomization list(s) (in the interim phase, this folder only stores the dummy-randomization lists)
-3) Imported: stores R/SAS raw data imported from Access format
-4) VAD: stores value-added dataset that will be used for the analysis (in R/SAS format)
-5) VAD_csv: stores value-added dataset that will be used for the analysis (in csv format)
-
-Data for the interim analysis can be found in the InterimAnalyses folder.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/VAD/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/VAD/Readme.txt
deleted file mode 100644
index d4e558d..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Data/VAD/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains value-added data for analysis.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/DSMB_documents/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/DSMB_documents/Readme.txt
deleted file mode 100644
index 7015f80..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Documents/DSMB_documents/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains all DSMB-related documents (charter, meeting minutes).
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/Manuscript/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/Manuscript/Readme.txt
deleted file mode 100644
index fa74a11..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Documents/Manuscript/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains all manuscript/report/final paper from this study.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/Protocol_CRF/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/Protocol_CRF/Readme.txt
deleted file mode 100644
index 624d128..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Documents/Protocol_CRF/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains all protocol, CRFs of the study.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/SAP/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/SAP/Readme.txt
deleted file mode 100644
index dcd855f..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/Documents/SAP/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains statistical analysis plan.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/InterimData/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/InterimData/Readme.txt
deleted file mode 100644
index 56016fa..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/InterimData/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains value-added interim data.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/RandomizationList/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/RandomizationList/Readme.txt
deleted file mode 100644
index d8c488f..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/RandomizationList/Readme.txt
+++ /dev/null
@@ -1 +0,0 @@
-This folder contains randomization lists
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/interimAnalysis_01.Rmd b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/interimAnalysis_01.Rmd
deleted file mode 100644
index 26af229..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/interimAnalysis_01.Rmd
+++ /dev/null
@@ -1,52 +0,0 @@
----
-title: "Interim analysis (BLINDED VERSION)"
-author: "Code preparation: ...; DSMB statistician: ..."
-date: "`r Sys.Date()`"
-output:
-   html_document:
-    toc: true
-    theme: cerulean   
----
-
-## Background 
-
-```{r set_up, echo = FALSE}
-## load required libraries and functions
-
-## fake or real analysis 
-## (T for all analysis based on the dummy (fake) randomization list; set to F for the real analysis)
-dummy <- TRUE
-
-## import randomization list
-randolist <- read.csv(file.path("Data", "RandomizationList", "xxx.csv"))
-arm_levels <- ifelse(dummy == TRUE,
-                     paste("Dummy", LETTERS[1:length(unique(randolist$arm))]),
-                     unique(randolist$arm))
-randolist$arm <- factor(randolist$arm, levels = arm_levels)
-
-## import study data
-load(file.path("Data", "InterimData", "xxx.Rdata"))
-
-## merge randomization list with data
-```
-
-## General description
-
-## Primary endpoints
-
-## Secondary endpoints
-
-## Adverse events
-
-### Clinical adverse events
-
-### Laboratory adverse events
-
-## Additional analyses
-
-## Appendix
-
-
-
-
-
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/Readme.txt
deleted file mode 100644
index b954553..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/Readme.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-This folder contains all final data and codes for interim analysis.
-
-Process for an interim analysis:
-- Copy value-added data from folder Data/VAD (at top level) to subfolder Data/interimData.
-- Copy Dummy-randomization list from folder Data/RandomizationList (at top level) to subfolder Data/RandomizationList.
-- Run interimAnalysis.Rmd to create interim analysis report.
-- Zip the whole folder to send to DSMB statistician.
-
-DSMB statistician needs to:
-- Put the true randomization list in the Data/RandomizationList subfolder (and remove the dummy list)
-- change lines 5,6 and 14 of the code in interimAnalysis.Rmd
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/OUCRU_RCT_wInterim.Rproj b/inst/structure/OUCRU_RCT_wInterim/OUCRU_RCT_wInterim.Rproj
deleted file mode 100644
index 8e3c2eb..0000000
--- a/inst/structure/OUCRU_RCT_wInterim/OUCRU_RCT_wInterim.Rproj
+++ /dev/null
@@ -1,13 +0,0 @@
-Version: 1.0
-
-RestoreWorkspace: Default
-SaveWorkspace: Default
-AlwaysSaveHistory: Default
-
-EnableCodeIndexing: Yes
-UseSpacesForTab: Yes
-NumSpacesForTab: 2
-Encoding: UTF-8
-
-RnwWeave: Sweave
-LaTeX: pdfLaTeX
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
deleted file mode 100644
index 64a5a01..0000000
--- a/man/as_sstable.Rd
+++ /dev/null
@@ -1,38 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{as_sstable}
-\alias{as_sstable}
-\alias{as_sstable.default}
-\alias{as_sstable.list}
-\alias{as_sstable.logist_summary}
-\alias{as_sstable.overlap_summary}
-\alias{as_sstable.subgroup_logist_summary}
-\title{Coerce an object to sstable}
-\usage{
-as_sstable(x, ...)
-
-\method{as_sstable}{default}(x, flextable = FALSE, ...)
-
-\method{as_sstable}{list}(x, flextable = FALSE, ...)
-
-\method{as_sstable}{logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
-
-\method{as_sstable}{overlap_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
-
-\method{as_sstable}{subgroup_logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
-}
-\arguments{
-\item{x}{An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")}
-
-\item{...}{additional param passed to \link{ss_flextable}}
-
-\item{flextable}{logical value specifying whether to return a flextable. Default is FALSE}
-
-\item{include_footnote}{logical value specifying whether to include footnote in the output. Default is FALSE}
-}
-\value{
-A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
-}
-\description{
-A function to coerce objects to a sstable
-}
diff --git a/man/contSummary.Rd b/man/contSummary.Rd
deleted file mode 100644
index 0312f60..0000000
--- a/man/contSummary.Rd
+++ /dev/null
@@ -1,28 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/sstable.R
-\name{contSummary}
-\alias{contSummary}
-\title{Calculate summary statistics for continuous variable}
-\usage{
-contSummary(
-  x,
-  statistics = c("med.IQR", "med.90", "med.range", "mean.sd"),
-  digits = 1,
-  n = TRUE
-)
-}
-\arguments{
-\item{x}{a numeric vector to be summarised.}
-
-\item{statistics}{a character specifies summary statistics for continuous row variables.}
-
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
-
-\item{n}{a logical value specifies whether output will contain the number of non-missing values.}
-}
-\value{
-a string displays formatted summary statistics.
-}
-\description{
-A function to calculate summary statistics for continuous variable.
-}
diff --git a/man/convert.info.Rd b/man/convert.info.Rd
deleted file mode 100644
index b9ba986..0000000
--- a/man/convert.info.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/OUCRU_data_dictionary.R
-\name{convert.info}
-\alias{convert.info}
-\title{Convert imported OUCRU's data dictionary into a general data dictionary}
-\usage{
-convert.info(oucru_info, oucru_category)
-}
-\arguments{
-\item{oucru_info}{a data frame contains imported data of a sheet from OUCRU's data dictionary.}
-
-\item{oucru_category}{a data frame specifies how categorical variables are coded in OUCRU's database.}
-}
-\value{
-A data frame contains data dictionary information in a general format.
-}
-\description{
-A function to convert imported OUCRU's data dictionary into a general data dictionary.
-}
diff --git a/man/createProject.Rd b/man/createProject.Rd
deleted file mode 100644
index 336e795..0000000
--- a/man/createProject.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/createProject.R
-\name{createProject}
-\alias{createProject}
-\title{Create project's folder based on pre-defined folder structure}
-\usage{
-createProject(dir, structure = c("OUCRU_RCT_wInterim"))
-}
-\arguments{
-\item{dir}{a character specifies where to create the project's folder.}
-
-\item{structure}{a character specifies the pre-defined folder structure to be used.}
-}
-\value{
-A message to confirm that the project's folder is created at the designed place.
-}
-\description{
-A generic function to create a project's folder based on pre-defined folder structure.
-}
diff --git a/man/explicit.Rd b/man/explicit.Rd
deleted file mode 100644
index aa939b1..0000000
--- a/man/explicit.Rd
+++ /dev/null
@@ -1,17 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/explicit.R
-\name{explicit}
-\alias{explicit}
-\title{Transform an object to its explicit form}
-\usage{
-explicit(x, ...)
-}
-\arguments{
-\item{x}{An object}
-}
-\description{
-A function to transform an object to its explicit form if possible
-}
-\seealso{
-\link{explicit.lm}
-}
diff --git a/man/explicit.lm.Rd b/man/explicit.lm.Rd
deleted file mode 100644
index 471731b..0000000
--- a/man/explicit.lm.Rd
+++ /dev/null
@@ -1,25 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/explicit.R
-\name{explicit.lm}
-\alias{explicit.lm}
-\title{Transform a model to its explicit form}
-\usage{
-\method{explicit}{lm}(fit)
-}
-\arguments{
-\item{fit}{An object of class "lm"}
-}
-\value{
-A model with explicit formula
-}
-\description{
-A function to transform an lm model formula to its explicit form.
-This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
-}
-\examples{
-iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
-explicit(iris.model)
-}
-\seealso{
-\link[stats]{add1}
-}
diff --git a/man/getlabel.Rd b/man/getlabel.Rd
deleted file mode 100644
index 2dcb9c4..0000000
--- a/man/getlabel.Rd
+++ /dev/null
@@ -1,23 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/getlabel.R
-\name{getlabel}
-\alias{getlabel}
-\title{Obtain label of variable(s) based on metadata information}
-\usage{
-getlabel(x, meta = NULL, unit = TRUE, fit = FALSE)
-}
-\arguments{
-\item{x}{a vector or data frame to get label.}
-
-\item{meta}{a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).}
-
-\item{unit}{a logical value specifies whether unit will be appendded in the label of continous variables.}
-
-\item{fit}{a logical value specifies whether the label will use presentation as in model fitting.}
-}
-\value{
-vector of character of label
-}
-\description{
-A function to obtain label of one vector or each variable in one data frame based on pre-defined metadata information.
-}
diff --git a/man/hello.Rd b/man/hello.Rd
deleted file mode 100644
index 0fa7c4b..0000000
--- a/man/hello.Rd
+++ /dev/null
@@ -1,12 +0,0 @@
-\name{hello}
-\alias{hello}
-\title{Hello, World!}
-\usage{
-hello()
-}
-\description{
-Prints 'Hello, world!'.
-}
-\examples{
-hello()
-}
diff --git a/man/ht_theme_kable.Rd b/man/ht_theme_kable.Rd
deleted file mode 100644
index 38d9569..0000000
--- a/man/ht_theme_kable.Rd
+++ /dev/null
@@ -1,32 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ht_theme_kable}
-\alias{ht_theme_kable}
-\title{A kable-esque theme for huxtable object}
-\usage{
-ht_theme_kable(
-  ht,
-  header_rows = 1:2,
-  header_cols = NULL,
-  border_width = 1,
-  border_color = "#dddddd",
-  bg = c("white", "#f9f9f9")
-)
-}
-\arguments{
-\item{ht}{an object of class huxtable}
-
-\item{header_rows}{a numeric vector that delimits the header zone.}
-
-\item{border_width}{a number that defines huxtable border width}
-
-\item{border_color}{a character string that defines huxtable border color}
-
-\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
-}
-\value{
-an object of class huxtable
-}
-\description{
-This function provides a kable-esque theme for huxtable object
-}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
deleted file mode 100644
index a66434f..0000000
--- a/man/ht_theme_markdown.Rd
+++ /dev/null
@@ -1,32 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ht_theme_markdown}
-\alias{ht_theme_markdown}
-\title{A stripe theme for huxtable object}
-\usage{
-ht_theme_markdown(
-  ht,
-  header_rows = 1:2,
-  header_cols = NULL,
-  border_width = 0.8,
-  border_color = grey(0.75),
-  bg = c(grey(0.95), "white")
-)
-}
-\arguments{
-\item{ht}{an object of class huxtable}
-
-\item{header_rows}{a numeric vector that delimits the header zone.}
-
-\item{border_width}{a number that defines huxtable border width}
-
-\item{border_color}{a character string that defines huxtable border color}
-
-\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
-}
-\value{
-an object of class huxtable
-}
-\description{
-This function provides a stripped theme for huxtable object
-}
diff --git a/man/import.info.Rd b/man/import.info.Rd
deleted file mode 100644
index f24e849..0000000
--- a/man/import.info.Rd
+++ /dev/null
@@ -1,21 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/OUCRU_data_dictionary.R
-\name{import.info}
-\alias{import.info}
-\title{Import OUCRU's data dictionary into R}
-\usage{
-import.info(table_name, input, output)
-}
-\arguments{
-\item{table_name}{a character vector specifies names of Excel sheets (in OUCRU's data dictionary) to be imported.}
-
-\item{input}{a character value specifies path to the OUCRU's data dictionary file (in Excel format).}
-
-\item{output}{a character value specifies where to save imported data.}
-}
-\value{
-Nothing (imported data will be saved in the pre-defined output directory)
-}
-\description{
-A function to import OUCRU's data dictionary into R.
-}
diff --git a/man/inspect.data.Rd b/man/inspect.data.Rd
deleted file mode 100644
index e4ec4ea..0000000
--- a/man/inspect.data.Rd
+++ /dev/null
@@ -1,37 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/checking.R
-\name{inspect.data}
-\alias{inspect.data}
-\title{Check formatted data based on a pre-defined information}
-\usage{
-inspect.data(
-  data,
-  info,
-  id,
-  check_missing = c(TRUE, FALSE),
-  plot = FALSE,
-  prefix = "",
-  outdir
-)
-}
-\arguments{
-\item{data}{a formatted data frame to be checked.}
-
-\item{info}{a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable), condition (character variable specifies conditional checking), strict (a character variable [Yes, No] specifies whether missing data should be checked for each variable).}
-
-\item{id}{a character specifies name of subject id variable.}
-
-\item{check_missing}{a logical value specifies whether missing data should be checked.}
-
-\item{plot}{a logical value specifies whether plot (bar plot for categorical variables, boxplot for continuous variables) should be produced.}
-
-\item{prefix}{a character to be appended as prefix of all output files.}
-
-\item{outdir}{a character specifies where to save output files.}
-}
-\value{
-A data frame lists all identified potential data errors.
-}
-\description{
-A function to check a formatted data frame based on a pre-defined information.
-}
diff --git a/man/labAE.Rd b/man/labAE.Rd
deleted file mode 100644
index 229dc98..0000000
--- a/man/labAE.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/labAE.R
-\name{labAE}
-\alias{labAE}
-\title{Identify new lab adverse event to report}
-\usage{
-labAE(data, gradecut)
-}
-\arguments{
-\item{data}{a numeric vector of consecutive lab adverse event grade.}
-
-\item{gradecut}{a grade threshold to report.}
-}
-\value{
-A factor specifies whether new lab adverse event to report is identified or not.
-}
-\description{
-A function to identify new lab adverse event to report from a vector of consecutive lab adverse event grade.
-}
diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
deleted file mode 100644
index be42e09..0000000
--- a/man/logist_summary.Rd
+++ /dev/null
@@ -1,49 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/logist_summary.R
-\name{logist_summary}
-\alias{logist_summary}
-\title{An alternative summary for a logistic model with OR, CI, and p-values}
-\usage{
-logist_summary(
-  fit,
-  method = c("lik.ratio", "wald"),
-  stat_digits = 2,
-  p_digits = 4,
-  verbose = FALSE,
-  sstable = FALSE,
-  flextable = FALSE,
-  ...
-)
-}
-\arguments{
-\item{fit}{a logistic regression model of class "glm"}
-
-\item{method}{a string whose value is either
-"lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
-or "wald" for CI and tests based on Wald statistics}
-
-\item{stat_digits}{Number of decimal digits for statistics}
-
-\item{p_digits}{Number of decimal digits for the p-values}
-
-\item{verbose}{logical value specifying whether to print out result and notation. Default is FALSE}
-
-\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE}
-
-\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
-Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}}
-
-\item{...}{additional params passed to \link{ss_flextable}}
-}
-\value{
-A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
-}
-\description{
-a function to create summary table for glm logistic model
-}
-\seealso{
-\link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
-}
-\author{
-Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
-}
diff --git a/man/mutate_f.Rd b/man/mutate_f.Rd
deleted file mode 100644
index 0e679f6..0000000
--- a/man/mutate_f.Rd
+++ /dev/null
@@ -1,41 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/func_mult.R
-\name{mutate_f}
-\alias{mutate_f}
-\alias{mutate_f.data.table}
-\alias{mutate_f.tbl}
-\alias{mutate_f.grouped_df}
-\alias{mutate_f.data.frame}
-\title{Create or transform variables, with support for multiple assignment}
-\usage{
-mutate_f(.data, ...)
-
-\method{mutate_f}{data.table}(.data, ...)
-
-\method{mutate_f}{tbl}(.data, ...)
-
-\method{mutate_f}{grouped_df}(.data, ...)
-
-\method{mutate_f}{data.frame}(.data, ...)
-}
-\arguments{
-\item{.data}{A data.frame, data.table, or tbl}
-
-\item{...}{Name-value pairs of expressions, following data.table syntax: "new_col" := expression.
-Multiple assignments can be done via c("new_col1", "new_col2") := expression_returning_a_list.
-
-If unnamed, names of each list elements will be used}
-}
-\value{
-a data.frame, data.table, or a tbl
-}
-\description{
-A function to create new variable(s) based on existing ones.
-}
-\examples{
-df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
-
-df \%>\%
-dplyr::group_by(foo) \%>\%
-mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
-}
diff --git a/man/myformat.data.Rd b/man/myformat.data.Rd
deleted file mode 100644
index 3306bc6..0000000
--- a/man/myformat.data.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/formating.R
-\name{myformat.data}
-\alias{myformat.data}
-\title{Format data based on pre-defined information}
-\usage{
-myformat.data(data, info)
-}
-\arguments{
-\item{data}{a data frame contains variables to be formatted}
-
-\item{info}{a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable).}
-}
-\value{
-a data frame with variables are formatted according information specified in info
-}
-\description{
-A function to format each variable in data frame based on pre-defined information.
-}
diff --git a/man/pct.Rd b/man/pct.Rd
deleted file mode 100644
index 9de98b5..0000000
--- a/man/pct.Rd
+++ /dev/null
@@ -1,33 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/toolkits.R
-\name{pct}
-\alias{pct}
-\title{Get the proportion for each level or range of a vector}
-\usage{
-pct(x, method = c("auto", "bin", "cont", "fct"), na.rm = TRUE, ...)
-}
-\arguments{
-\item{x}{An object}
-
-\item{method}{A method to calculate the percentage.
-Default is 'auto' which will attempt to choose the most fit method.
-'bin' is only meaningful for vector that only has to values.
-'fct' is meaningful for descrete variable
-'cont' is used for continuous variables. This will break the variable into several ranges
-depended on the breaks specified in ...}
-
-\item{na.rm}{A logical value deciding whether NA should be removed}
-
-\item{...}{Break points to cut the continuous variables into ranges. These are passed to function cut.
-See \link{cut}}
-}
-\value{
-If method == 'bin': the percentage of non-reference level
-
-If method == 'fct': the percentages of all levels
-
-If method == 'cont': the percentages of all ranges based on specified breaks
-}
-\description{
-A function to calculate the proportion of each value range
-}
diff --git a/man/print.logist_summary.Rd b/man/print.logist_summary.Rd
deleted file mode 100644
index e83fd26..0000000
--- a/man/print.logist_summary.Rd
+++ /dev/null
@@ -1,22 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/logist_summary.R
-\name{print.logist_summary}
-\alias{print.logist_summary}
-\title{Print method for logist_summary}
-\usage{
-\method{print}{logist_summary}(x, ...)
-}
-\arguments{
-\item{x}{an object of class logist_summary}
-
-\item{...}{additional params passed to print.data.frame}
-}
-\value{
-invisibly return itself
-}
-\description{
-Print method for logist_summary table
-}
-\seealso{
-\link{print.data.frame}
-}
diff --git a/man/ref_lv.Rd b/man/ref_lv.Rd
deleted file mode 100644
index 615f1c3..0000000
--- a/man/ref_lv.Rd
+++ /dev/null
@@ -1,28 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/toolkits.R
-\name{ref_lv}
-\alias{ref_lv}
-\alias{ref_lv.factor}
-\alias{ref_lv<-}
-\alias{ref_lv<-.factor}
-\title{Get or set the reference level}
-\usage{
-ref_lv(x)
-
-\method{ref_lv}{factor}(x)
-
-ref_lv(x) <- value
-
-\method{ref_lv}{factor}(x) <- value
-}
-\arguments{
-\item{x}{A factor}
-
-\item{value}{An existing level to be set as reference}
-}
-\value{
-A character object the represents the reference level
-}
-\description{
-A function to quickly get or set the reference level of a factor
-}
diff --git a/man/simple_recode.Rd b/man/simple_recode.Rd
deleted file mode 100644
index 923cea8..0000000
--- a/man/simple_recode.Rd
+++ /dev/null
@@ -1,62 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/toolkits.R
-\name{simple_recode}
-\alias{simple_recode}
-\alias{simple_recode.data.frame}
-\alias{recode_var}
-\alias{var_recode}
-\alias{simple_recode.default}
-\title{Do a simple recode via pattern for data}
-\usage{
-simple_recode(...)
-
-\method{simple_recode}{data.frame}(.data, ..., ignore.case = FALSE, fixed = FALSE, perl = TRUE)
-
-\method{simple_recode}{default}(
-  x,
-  map,
-  as = c("as_is", "numeric", "factor", "character", "logical"),
-  ignore.case = FALSE,
-  fixed = FALSE,
-  perl = TRUE,
-  ...
-)
-}
-\arguments{
-\item{...}{For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
-
-For default method: Additional parameters passed to factor()}
-
-\item{.data}{A data frame to modify}
-
-\item{ignore.case, perl}{Parameters passed to gsub().}
-
-\item{perl}{Are patterns follow the Perl-style regular expression.}
-
-\item{x}{a vector}
-
-\item{map}{A map.
-
-Map can be a list in the form of recoded_text = c(to_be_recoded_text)
-
-Or as a data frame having 2 columns named "from" and "to".}
-
-\item{as}{A character string defining the post-recoded data type of x. Default is keeping as-is.}
-
-\item{ignore.case}{Specify whether the pattern is case-insensitive. Default is FALSE (case sensitive)}
-}
-\value{
-A data frame with recoded variables.
-
-If input is a vector, return a vector of the same length.
-
-If input is a data frame, return a data frame with relevant variables recoded.
-}
-\description{
-A function to re-encode data by using a map. Patterns are accepted. Unmentioned data are left intact.
-
-Method for class data.frame supports a robust replacement for data by providing relevant map in the form of var = map.
-}
-\seealso{
-\link{regex} \link{case_when}
-}
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
deleted file mode 100644
index 28b62d1..0000000
--- a/man/simple_relevel.Rd
+++ /dev/null
@@ -1,42 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/simple_relevel.R
-\name{simple_relevel}
-\alias{simple_relevel}
-\alias{simple_relevel.data.frame}
-\alias{simple_relevel.default}
-\title{Relevel in correspondence to another factor}
-\usage{
-simple_relevel(x, ...)
-
-\method{simple_relevel}{data.frame}(data, ..., by)
-
-\method{simple_relevel}{default}(x, by, map, value = c("unsorted", "sorted", "levels"))
-}
-\arguments{
-\item{x}{a vector that will be relevelled}
-
-\item{...}{Unquoted variable names that will be relevelled}
-
-\item{data}{A data.frame}
-
-\item{by}{a vector that the relevelling process will base on}
-
-\item{map}{a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
-or a data.frame with two columns "from" and "to" serving the same purpose.}
-
-\item{value}{a string: whether to return
-
-- "levels": new levels only
-
-- "unsorted" (default): an unsorted, relevelled factor
-
-- "sorted": a sorted, relevelled factor}
-}
-\value{
-An object of the same class as the input
-
-A factor or a numeric vector of order
-}
-\description{
-Function to relevel a variable in accordance to a another variable of class "factor".
-}
diff --git a/man/simple_sort.Rd b/man/simple_sort.Rd
deleted file mode 100644
index 17670eb..0000000
--- a/man/simple_sort.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/simple_relevel.R
-\name{simple_sort}
-\alias{simple_sort}
-\title{Sort a vector in a user-defined order}
-\usage{
-simple_sort(x, order = levels(as.factor(x)))
-}
-\arguments{
-\item{x}{A vector to be sorted}
-
-\item{order}{A manually defined order vector}
-}
-\value{
-A vector
-}
-\description{
-A function to sort a vector i an user-defined order
-}
diff --git a/man/ss_body.Rd b/man/ss_body.Rd
deleted file mode 100644
index 532efa7..0000000
--- a/man/ss_body.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_body}
-\alias{ss_body}
-\title{Designation of body part for custom sstable}
-\usage{
-ss_body(sstable, rows)
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{rows}{a numeric vector}
-}
-\value{
-a matrix of class ss_tbl
-}
-\description{
-This function set the designated rows as body part of a sstable
-}
diff --git a/man/ss_flextable.Rd b/man/ss_flextable.Rd
deleted file mode 100644
index 3e08984..0000000
--- a/man/ss_flextable.Rd
+++ /dev/null
@@ -1,34 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_flextable}
-\alias{ss_flextable}
-\alias{ss_flextable.list}
-\alias{ss_flextable.default}
-\title{Create summary table using flextable package.}
-\usage{
-ss_flextable(sstable, ...)
-
-\method{ss_flextable}{list}(sstable, add_footer = NULL, ...)
-
-\method{ss_flextable}{default}(sstable, footer = NULL, bg = "#F2EFEE", ...)
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
-
-\item{add_footer}{additional footer lines to be appended to object footers}
-
-\item{footer}{a character vector each of which is the footnote of the flextable}
-
-\item{bg}{a character string that defines stripped background color of the flextable}
-}
-\value{
-an object of class flextable
-}
-\description{
-This function generate a flextable from a sstable.
-}
-\seealso{
-\link[flextable]{flextable}
-}
diff --git a/man/ss_format.Rd b/man/ss_format.Rd
deleted file mode 100644
index 0c9fac5..0000000
--- a/man/ss_format.Rd
+++ /dev/null
@@ -1,36 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_format}
-\alias{ss_format}
-\title{Quick format a sstable in preparation for create flextable/huxtable}
-\usage{
-ss_format(
-  sstable,
-  header = c(),
-  section = c(),
-  body = c(),
-  template = c("baseline", "survcomp", "ae"),
-  .guess = TRUE
-)
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{header}{a numeric vector that will be passed to ss_header}
-
-\item{section}{a numeric vector that will be passed to ss_section}
-
-\item{body}{a numeric vector that will be passed to ss_body}
-
-\item{template}{An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
-
-If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
-
-\item{.guess}{a logical value. If TRUE, the function will try to get each row belongs to which part.}
-}
-\value{
-a matrix of class ss_tbl
-}
-\description{
-This function is the combination of ss_header, ss_body, and ss_section.
-}
diff --git a/man/ss_header.Rd b/man/ss_header.Rd
deleted file mode 100644
index 8d1880b..0000000
--- a/man/ss_header.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_header}
-\alias{ss_header}
-\title{Designation of header rows for custom sstable}
-\usage{
-ss_header(sstable, rows)
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{rows}{a numeric vector}
-}
-\value{
-a matrix of class ss_tbl
-}
-\description{
-This function set the designated rows as header rows of a sstable
-}
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
deleted file mode 100644
index 6af4387..0000000
--- a/man/ss_huxtable.Rd
+++ /dev/null
@@ -1,61 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_huxtable}
-\alias{ss_huxtable}
-\alias{ss_huxtable.list}
-\alias{ss_huxtable.default}
-\title{Create summary table using huxtable package.}
-\usage{
-ss_huxtable(sstable, ...)
-
-\method{ss_huxtable}{list}(sstable, add_footer = NULL, ...)
-
-\method{ss_huxtable}{default}(
-  sstable,
-  footer = NULL,
-  caption = NULL,
-  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright", "bottomleft",
-    "bottomcenter", "bottomright"),
-  bg = c(grey(0.95), "white"),
-  border_width = 0.8,
-  border_color = grey(0.75),
-  wrap = FALSE,
-  ...
-)
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
-
-\item{add_footer}{additional footer lines to be appended to object footers}
-
-\item{footer}{a character vector each of which is the footnote of the flextable}
-
-\item{caption}{a string containing table caption. Default is NULL}
-
-\item{caption_pos}{A length-one character vector,
-one of "top", "bottom", "topleft", "topcenter", "topright", "bottomleft", "bottomcenter", "bottomright".
-Default is "bottomcenter".
-
-See also \link[huxtable]{caption_pos}}
-
-\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
-
-\item{border_width}{a number that defines huxtable border width}
-
-\item{border_color}{a character string that defines huxtable border color}
-
-\item{wrap}{a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
-This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
-See also \link[huxtable]{wrap}}
-}
-\value{
-an object of class huxtable
-}
-\description{
-This function generate a huxtable from a sstable.
-}
-\seealso{
-\link[huxtable]{huxtable}
-}
diff --git a/man/ss_section.Rd b/man/ss_section.Rd
deleted file mode 100644
index 3ac6654..0000000
--- a/man/ss_section.Rd
+++ /dev/null
@@ -1,19 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_section}
-\alias{ss_section}
-\title{Designation of section title rows for custom sstable}
-\usage{
-ss_section(sstable, rows)
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{rows}{a numeric vector}
-}
-\value{
-a matrix of class ss_tbl
-}
-\description{
-This function set the designated rows as section title rows of an sstable
-}
diff --git a/man/ss_template.Rd b/man/ss_template.Rd
deleted file mode 100644
index 0f95b83..0000000
--- a/man/ss_template.Rd
+++ /dev/null
@@ -1,21 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ssformat.R
-\name{ss_template}
-\alias{ss_template}
-\title{Set template for sstable}
-\usage{
-ss_template(sstable, template = c("baseline", "survcomp", "ae"))
-}
-\arguments{
-\item{sstable}{a data frame following sstable's grammar}
-
-\item{template}{An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
-
-If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
-}
-\value{
-a matrix of class ss_tbl
-}
-\description{
-This function set the template for sstable
-}
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
deleted file mode 100644
index 1f44070..0000000
--- a/man/sstable.ae.Rd
+++ /dev/null
@@ -1,87 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/sstable.R
-\name{sstable.ae}
-\alias{sstable.ae}
-\title{Create an adverse event summary table}
-\usage{
-sstable.ae(
-  ae_data,
-  fullid_data,
-  group_data = NULL,
-  id.var,
-  aetype.var,
-  grade.var = NULL,
-  group.var = NULL,
-  arm.var,
-  sort.by,
-  digits = 0,
-  test = TRUE,
-  pdigits = 3,
-  pcutoff = 0.001,
-  chisq.test = FALSE,
-  correct = FALSE,
-  simulate.p.value = FALSE,
-  B = 2000,
-  workspace = 1e+06,
-  hybrid = FALSE,
-  footer = NULL,
-  flextable = TRUE,
-  bg = "#F2EFEE"
-)
-}
-\arguments{
-\item{ae_data}{a data frame contains adverse event data.}
-
-\item{fullid_data}{a data frame contains treatment arm data of all participants (not just those had adverse event).}
-
-\item{group_data}{a reference data frame contains the group name of each ae.}
-
-\item{id.var}{a character specifies name of study id variable (exists in both adverse event data and treatment arm data).}
-
-\item{aetype.var}{a character specifies name of adverse event type variable (exists in adverse event data).}
-
-\item{grade.var}{a character specifies name of adverse event grade variable (exists in adverse event data).}
-
-\item{group.var}{a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).}
-
-\item{arm.var}{a character specifies name of treatment arm variable (exists in treatment arm data).}
-
-\item{sort.by}{An unquoted formula of sorting options.
-
-Available options are `ep`, `pt`, `p`, or a combination of them (eg ep+pt-p);
-A minus sign indicates a descending order.}
-
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
-
-\item{test}{a logical value specifies whether a statistical test will be performed to compare between treatment arms.}
-
-\item{pdigits}{a number specifies number of significant digits for p value.}
-
-\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
-
-\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
-
-Be aware that even when chisq.test==TRUE, if expected values are < 1, the later test will take over.}
-
-\item{correct}{a parameter for chisq.test().}
-
-\item{simulate.p.value}{a parameter for chisq.test() and fisher.test().}
-
-\item{B}{a parameter for chisq.test() and fisher.test().}
-
-\item{workspace}{a parameter for fisher.test().}
-
-\item{hybrid}{a parameter for fisher.test().}
-
-\item{footer}{a vector of strings to be used as footnote of table.}
-
-\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
-
-\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
-}
-\value{
-a flextable-type table or a list with values/headers/footers
-}
-\description{
-A function to create a simple adverse event summary table.
-}
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
deleted file mode 100644
index 1860d67..0000000
--- a/man/sstable.baseline.Rd
+++ /dev/null
@@ -1,77 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/sstable.R
-\name{sstable.baseline}
-\alias{sstable.baseline}
-\title{Create baseline table}
-\usage{
-sstable.baseline(
-  formula,
-  data,
-  bycol = TRUE,
-  pooledGroup = FALSE,
-  keepEmptyGroup = FALSE,
-  statistics = "med.IQR",
-  continuous = NA,
-  fullfreq = TRUE,
-  digits = 1,
-  test = FALSE,
-  pdigits = 3,
-  pcutoff = 1e-04,
-  chisq.test = FALSE,
-  correct = FALSE,
-  simulate.p.value = FALSE,
-  B = 2000,
-  workspace = 1e+06,
-  hybrid = FALSE,
-  footer = NULL,
-  flextable = FALSE,
-  bg = "#F2EFEE"
-)
-}
-\arguments{
-\item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.}
-
-\item{data}{a data frame to derive baseline table from.}
-
-\item{bycol}{a logical value specifies whether the summary will be by column or by row.}
-
-\item{pooledGroup}{a logical value specifies whether to pool all subgroups of column variable.}
-
-\item{keepEmptyGroup}{a logical value specifying whether should keep empty groups}
-
-\item{statistics}{a character specifies summary statistics for continuous row variables.}
-
-\item{continuous}{a logical vector specifies whether each row variables is continuous or categorical.}
-
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
-
-\item{test}{a logical value specifies whether a statistical test will be performed to compare between treatment arms.}
-
-\item{pdigits}{a number specifies number of significant digits for p value.}
-
-\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
-
-\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.}
-
-\item{correct}{a parameter for chisq.test().}
-
-\item{simulate.p.value}{a parameter for chisq.test() and fisher.test().}
-
-\item{B}{a parameter for chisq.test() and fisher.test().}
-
-\item{workspace}{a parameter for fisher.test().}
-
-\item{hybrid}{a parameter for fisher.test().}
-
-\item{footer}{a vector of strings to be used as footnote of table.}
-
-\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
-
-\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
-}
-\value{
-a flextable-type table or a list with values/headers/footers
-}
-\description{
-A function to create a simple summary baseline table.
-}
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
deleted file mode 100644
index 2b37e47..0000000
--- a/man/sstable.survcomp.Rd
+++ /dev/null
@@ -1,52 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/sstable.R
-\name{sstable.survcomp}
-\alias{sstable.survcomp}
-\title{Summarize results for a Cox survival model with the treatment arm as the main covariate}
-\usage{
-sstable.survcomp(
-  model,
-  data,
-  add.risk = TRUE,
-  add.prop.haz.test = TRUE,
-  medsum = TRUE,
-  digits = 2,
-  pdigits = 3,
-  pcutoff = 0.001,
-  footer = NULL,
-  flextable = TRUE,
-  bg = "#F2EFEE"
-)
-}
-\arguments{
-\item{model}{a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.}
-
-\item{data}{a data frame to fir the Cox survival model.}
-
-\item{add.risk}{a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
-
-\item{add.prop.haz.test}{a logical value specifies whether a test for proportional hazards should be added.}
-
-\item{medsum}{a logical value specifies whether median (IQR) of time to event should be described.}
-
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
-
-\item{pdigits}{a number specifies number of significant digits for p value.}
-
-\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
-
-\item{footer}{a vector of strings to be used as footnote of table.}
-
-\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
-
-\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
-}
-\value{
-a flextable-type table or a list with values/headers/footers
-}
-\description{
-A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate
-}
-\author{
-This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
-}
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
deleted file mode 100644
index c1e110e..0000000
--- a/man/sstable.survcomp.subgroup.Rd
+++ /dev/null
@@ -1,49 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/sstable.R
-\name{sstable.survcomp.subgroup}
-\alias{sstable.survcomp.subgroup}
-\title{Summarize results for a Cox survival model by treatment arm and subgroup}
-\usage{
-sstable.survcomp.subgroup(
-  base.model,
-  subgroup.model,
-  data,
-  digits = 2,
-  pdigits = 3,
-  pcutoff = 0.001,
-  footer = NULL,
-  flextable = TRUE,
-  bg = "#F2EFEE",
-  ...
-)
-}
-\arguments{
-\item{base.model}{a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).}
-
-\item{subgroup.model}{a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).}
-
-\item{data}{a data frame to fir the Cox survival model.}
-
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
-
-\item{pdigits}{a number specifies number of significant digits for p value.}
-
-\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
-
-\item{footer}{a vector of strings to be used as footnote of table.}
-
-\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
-
-\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
-
-\item{...}{arguments that are passed to sstable.survcomp.}
-}
-\value{
-a flextable-type table or a list with values/headers/footers
-}
-\description{
-A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.
-}
-\author{
-This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
-}
diff --git a/man/subgroup_effect.Rd b/man/subgroup_effect.Rd
deleted file mode 100644
index 28a910f..0000000
--- a/man/subgroup_effect.Rd
+++ /dev/null
@@ -1,53 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/group_effect.R
-\name{subgroup_effect}
-\alias{subgroup_effect}
-\title{Calculation of covariable effects within each value of another covariable that has interaction}
-\usage{
-subgroup_effect(
-  formula,
-  model,
-  method = c("lik.ratio", "wald"),
-  stat_digits = 2,
-  p_digits = 4,
-  sstable = FALSE,
-  flextable = FALSE,
-  simplify = TRUE
-)
-}
-\arguments{
-\item{formula}{A formula in the the form of A + B ~ X, where
-
-- X is the covariable to be concerned. X must be of type factor.
-- A, B are the covarables having interaction with X whose effects will be calculated.
-If . or blank. All covariables having interaction with X would be included.}
-
-\item{model}{A fitted glm model}
-
-\item{method}{a string whose value is either
-"lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
-or "wald" for CI and tests based on Wald statistics}
-
-\item{stat_digits}{Number of decimal digits for statistics}
-
-\item{p_digits}{Number of decimal digits for the p-values}
-
-\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE}
-
-\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.}
-
-\item{simplify}{by default, if there is only one variable on each side of the formula and
-no LHS is a binary, then the function will combine tables in each state of X to one.
-Set to FALSE to avoid this behaviour.}
-}
-\value{
-Under certain circumstances defined in param simplify, a flextable, an sstable,
-a data.frame of class 'subgroup_logist_summary',
-or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
-}
-\description{
-This function calculate the OR, CI, an p.value within each value of specified covariable.
-}
-\author{
-Trinh Dong Huu Khanh
-}
diff --git a/man/summarise_f.Rd b/man/summarise_f.Rd
deleted file mode 100644
index 6143934..0000000
--- a/man/summarise_f.Rd
+++ /dev/null
@@ -1,40 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/func_mult.R
-\name{summarise_f}
-\alias{summarise_f}
-\alias{summarise_f.data.frame}
-\alias{summarise_f.data.table}
-\alias{summarise_f.tbl}
-\alias{summarise_f.grouped_df}
-\title{Reduce multiple values by summarisation functions.}
-\usage{
-summarise_f(.data, ...)
-
-\method{summarise_f}{data.frame}(.data, ...)
-
-\method{summarise_f}{data.table}(.data, ...)
-
-\method{summarise_f}{tbl}(.data, ...)
-
-\method{summarise_f}{grouped_df}(.data, ...)
-}
-\arguments{
-\item{.data}{A data.frame, data.table, or tbl}
-
-\item{...}{Summarisation functions.
-Each of which must return a named list, whose names stand for new variables' names.
-Anonymous functions must be wrapped in parentheses.}
-}
-\value{
-a data.frame, data.table, or a tbl
-}
-\description{
-Create variables summarising exisiting variables, by using summarisation function.
-}
-\examples{
-df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
-
-df \%>\%
-dplyr::group_by(foo) \%>\%
-summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
-}
diff --git a/vignettes/data_analysis_pipeline.Rmd b/vignettes/data_analysis_pipeline.Rmd
deleted file mode 100644
index 7cb0e57..0000000
--- a/vignettes/data_analysis_pipeline.Rmd
+++ /dev/null
@@ -1,21 +0,0 @@
----
-title: "Data analysis pipeline"
-author: "Lam Phung Khanh"
-date: "`r Sys.Date()`"
-output: rmarkdown::html_vignette
-vignette: >
-  %\VignetteIndexEntry{Vignette Title}
-  %\VignetteEngine{knitr::rmarkdown}
-  %\VignetteEncoding{UTF-8}
----
-
-```{r setup, include = FALSE}
-knitr::opts_chunk$set(
-  collapse = TRUE,
-  comment = "#>"
-)
-```
-
-This vignette summarise one approach to data analysis pipeline and layouts how functions in this package fit to this pipeline.
-
-![](figures/C306.png){width=100%}
diff --git a/vignettes/figures/C306.png b/vignettes/figures/C306.png
deleted file mode 100644
index 69adf95a9b3d27aa9b5088b9252f25ef2d7f19be..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/vignettes/sstable.Rmd b/vignettes/sstable.Rmd
deleted file mode 100644
index 50219ff..0000000
--- a/vignettes/sstable.Rmd
+++ /dev/null
@@ -1,32 +0,0 @@
----
-title: "Simple Summary Table"
-author: "Lam Phung Khanh"
-date: "`r Sys.Date()`"
-output: rmarkdown::html_vignette
-vignette: >
-  %\VignetteIndexEntry{Vignette Title}
-  %\VignetteEngine{knitr::rmarkdown}
-  %\VignetteEncoding{UTF-8}
----
-
-```{r setup, include = FALSE}
-knitr::opts_chunk$set(
-  collapse = TRUE,
-  comment = "#>"
-)
-```
-
-This vignette tries to explain how a formula to supply to function sstable.baseline() can be formulate.
-
-## Basic types of table
-
-A table can be used to display summary information of one or several variables. A specific table can summarize information of variable(s) X(s) on all subjects, by groups of variable Y, or summarize variable Z by variable X and variable Y. There are different ways these summaries statistics can be derived, depending on the existence and type of variables X, Y and Z. Figure 1 below summarizes 4 basic types of table and how to specify them using the sstable.baseline() function in this package:
-
-![_Figure 1. Four basic types of table and the corresponding sstable.baseline() syntax and constraint on existence and type of relevant variables_](figures/sstable1.png){width=90%}
-
-## Basic layouts of table
-
-Figure 2 displays 4 basic layouts of table corresponding to 4 basic table types mentioned in Figure 1:
-
-![_Figure 2. Four basic layouts of table_](figures/sstable2.png){width=90%}
-

From ccf1012f09bef7cbfaa7f1b42a95640896d61e79 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Thu, 26 Dec 2019 12:09:24 +0700
Subject: [PATCH 040/193] restore

---
 .RDataTmp                                     |  Bin 0 -> 22331392 bytes
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 .gitignore                                    |    5 +
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 NAMESPACE                                     |   65 +
 R/.gitignore                                  |    1 +
 R/OUCRU_data_dictionary.R                     |  112 ++
 R/checking.R                                  |  174 +++
 R/createProject.R                             |   27 +
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 R/formating.R                                 |  106 ++
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 R/getlabel.R                                  |  104 ++
 R/group_effect.R                              |  201 +++
 R/labAE.R                                     |   15 +
 R/logist_summary.R                            |  112 ++
 R/simple_relevel.R                            |   95 ++
 R/ssformat.R                                  |  625 +++++++++
 R/sstable.R                                   | 1250 +++++++++++++++++
 R/toolkits.R                                  |  194 +++
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 README.md                                     |   21 +
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 docs/link.svg                                 |   12 +
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 man/as_sstable.Rd                             |   38 +
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 man/createProject.Rd                          |   19 +
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diff --git a/.Rbuildignore b/.Rbuildignore
new file mode 100644
index 0000000..91114bf
--- /dev/null
+++ b/.Rbuildignore
@@ -0,0 +1,2 @@
+^.*\.Rproj$
+^\.Rproj\.user$
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..381c7d7
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,5 @@
+.Rproj.user
+.Rhistory
+.RData
+.Ruserdata
+R/.depricated.R
diff --git a/C306.Rproj b/C306.Rproj
new file mode 100644
index 0000000..270314b
--- /dev/null
+++ b/C306.Rproj
@@ -0,0 +1,21 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX
+
+AutoAppendNewline: Yes
+StripTrailingWhitespace: Yes
+
+BuildType: Package
+PackageUseDevtools: Yes
+PackageInstallArgs: --no-multiarch --with-keep.source
+PackageRoxygenize: rd,collate,namespace
diff --git a/DESCRIPTION b/DESCRIPTION
new file mode 100644
index 0000000..8703d10
--- /dev/null
+++ b/DESCRIPTION
@@ -0,0 +1,42 @@
+Package: C306
+Type: Package
+Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
+Version: 0.1.5-201912
+Author: Lam Phung Khanh
+Maintainer@R: 
+    c(
+        person(
+            given = "Khanh Lam",
+            family = "Phung",
+            role = c("author", "maintainer"),
+            email = "phungkhanhlam@gmail.com"),
+        person(
+            given = "Huu Khanh Trinh",
+            family = "Dong"
+            role = "maintainer",
+            email = "trindhk@oucru.org"),
+        person(
+            given = 'Biostatistic Group',
+            role = "maintainer"
+        )
+     )
+Description: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
+    Use four spaces when indenting paragraphs within the Description.
+License: The MIT License (MIT)
+Encoding: UTF-8
+LazyData: true
+Depends: data.table
+Imports: lubridate,
+    car,
+    readxl,
+    dplyr,
+    flextable,
+    officer,
+    survival,
+    tidyr,
+    rlang
+RoxygenNote: 7.0.2
+Suggests: knitr,
+    rmarkdown,
+    huxtable
+VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
new file mode 100644
index 0000000..17056e4
--- /dev/null
+++ b/NAMESPACE
@@ -0,0 +1,65 @@
+# Generated by roxygen2: do not edit by hand
+
+S3method("ref_lv<-",factor)
+S3method(as_sstable,default)
+S3method(as_sstable,list)
+S3method(as_sstable,logist_summary)
+S3method(as_sstable,overlap_summary)
+S3method(as_sstable,subgroup_logist_summary)
+S3method(explicit,lm)
+S3method(mutate_f,data.frame)
+S3method(mutate_f,data.table)
+S3method(mutate_f,grouped_df)
+S3method(mutate_f,tbl)
+S3method(print,logist_summary)
+S3method(print,ss_tbl)
+S3method(ref_lv,factor)
+S3method(simple_recode,data.frame)
+S3method(simple_recode,default)
+S3method(simple_relevel,data.frame)
+S3method(simple_relevel,default)
+S3method(ss_flextable,default)
+S3method(ss_flextable,list)
+S3method(ss_huxtable,default)
+S3method(ss_huxtable,list)
+S3method(summarise_f,data.frame)
+S3method(summarise_f,data.table)
+S3method(summarise_f,grouped_df)
+S3method(summarise_f,tbl)
+export("ref_lv<-")
+export(as_sstable)
+export(contSummary)
+export(convert.info)
+export(createProject)
+export(explicit)
+export(getlabel)
+export(ht_theme_kable)
+export(ht_theme_markdown)
+export(import.info)
+export(inspect.data)
+export(labAE)
+export(logist_summary)
+export(mutate_f)
+export(myformat.data)
+export(pct)
+export(ref_lv)
+export(simple_recode)
+export(simple_relevel)
+export(simple_sort)
+export(ss_body)
+export(ss_flextable)
+export(ss_format)
+export(ss_header)
+export(ss_huxtable)
+export(ss_section)
+export(ss_template)
+export(sstable.ae)
+export(sstable.baseline)
+export(sstable.survcomp)
+export(sstable.survcomp.subgroup)
+export(subgroup_effect)
+export(summarise_f)
+import(dplyr)
+import(survival)
+import(tidyr)
+importFrom(data.table,":=")
diff --git a/R/.gitignore b/R/.gitignore
new file mode 100644
index 0000000..718db98
--- /dev/null
+++ b/R/.gitignore
@@ -0,0 +1 @@
+.depricated.R
diff --git a/R/OUCRU_data_dictionary.R b/R/OUCRU_data_dictionary.R
new file mode 100644
index 0000000..6cd9853
--- /dev/null
+++ b/R/OUCRU_data_dictionary.R
@@ -0,0 +1,112 @@
+
+# import OUCRU data dictionary --------------------------------------------
+
+#' Import OUCRU's data dictionary into R
+#'
+#' @description A function to import OUCRU's data dictionary into R.
+#'
+#' @param table_name a character vector specifies names of Excel sheets (in OUCRU's data dictionary) to be imported.
+#' @param input a character value specifies path to the OUCRU's data dictionary file (in Excel format).
+#' @param output a character value specifies where to save imported data.
+#'
+#' @return Nothing (imported data will be saved in the pre-defined output directory)
+#' @export
+import.info <- function(table_name, input, output) {
+  requireNamespace("readxl")
+
+  ### get all available sheets
+  crfs <- readxl::read_excel(path = input, sheet = "CRFs")
+  ### check Grids table
+  input_sheet <- readxl::excel_sheets(input)
+  grid_id <- grep(pattern = "grids", x = input_sheet, ignore.case = TRUE)
+  if (length(grid_id) > 0) {
+    grids <- readxl::read_excel(path = input, sheet = grid_id)
+    sheet_grid <- grids$sheet_grid <- with(grids, paste(CRF, Grid, sep = "_"))
+  } else {
+    sheet_grid <- NULL
+  }
+  sheet_final <- intersect(unique(c(crfs$CRF, sheet_grid)),
+                           table_name)
+
+  ### import
+  #### no-grid sheets
+  for (i in sheet_final[!sheet_final %in% sheet_grid] ) {
+    assign(paste(i, "info", sep = "_"),
+           subset(readxl::read_excel(path = input, sheet = i), (!`Data type` %in% "Title")))
+  }
+  #### grid sheets
+  #browser()
+  if (!is.null(sheet_grid)) {
+    grids <- grids[grids$sheet_grid %in% sheet_final, ]
+    for (i in (1:nrow(grids))) {
+      tmp <- rbind(subset(get(paste(grids$CRF[i], "info", sep = "_")),
+                          Grid == grids$Grid[i]),
+                   c(paste(grids$CRF[i], grids$Grid[i], "SEQ", sep = "_"), "", "Number", rep("", 5)),
+                   c("USUBJID", "Unique subject id", "Free Text", rep("", 5)))
+      assign(paste(grids$CRF[i], grids$Grid[i], "info", sep = "_"),
+             tmp)
+    }
+  }
+  #### all info-sheet names
+  sheet_info_name <- paste(sheet_final, "info", sep = "_")
+
+  ### save
+  save(list = c(sheet_info_name, "sheet_info_name"), file = output)
+}
+
+# convert OUCRU’s data dictionary to a general data dictionary -----------------
+
+#' Convert imported OUCRU's data dictionary into a general data dictionary
+#'
+#' @description A function to convert imported OUCRU's data dictionary into a general data dictionary.
+#'
+#' @param oucru_info a data frame contains imported data of a sheet from OUCRU's data dictionary.
+#' @param oucru_category a data frame specifies how categorical variables are coded in OUCRU's database.
+#'
+#' @return A data frame contains data dictionary information in a general format.
+#' @import dplyr
+#' @export
+convert.info <- function(oucru_info, oucru_category) {
+  requireNamespace("dplyr")
+  requireNamespace("car")
+
+  ## get value & level for factors
+  cat_tmp <- distinct(oucru_category) %>%
+    rename(Category = category) %>%
+    mutate(submissionvalue = ifelse(is.na(suppressWarnings(as.numeric(submissionvalue))),
+                                    paste0("'", submissionvalue, "'", sep = ""),
+                                    submissionvalue),
+           text = paste0("'", gsub(pattern = "=", replacement = " equal ",
+                                   x = gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
+                                            x = gsub(pattern = ";", replacement = ",", x = text))), "'")) %>%
+    group_by(Category) %>%
+    summarise(value = paste(submissionvalue, text, sep = "=", collapse = ";"),
+              level = paste(text, collapse = ";")) %>%
+    ungroup()
+
+  ## convert
+  output <- merge(oucru_info, cat_tmp, by = "Category", all.x = TRUE) %>%
+    mutate(Format = tolower(Format)) %>%
+    transmute(varname = Variable,
+              label   = Caption,
+              type    = car::Recode(`Data type`,
+                               recodes = "c('Category', 'ExCategory', 'RadioList') = 'factor';
+                               c('Free Text', 'Title', 'CombinedKey', 'Time', 'Check', 'Other') = 'character';
+                               c('EDateTime', 'SDateTime', 'DateTime', 'DateTime2', 'DateTime3') = 'datetime';
+                               c('Integer', 'Float', 'Number') = 'numeric';
+                               else = NA"),
+              unit    = NA,
+              value   = ifelse(is.na(type), NA,
+                               ifelse(type == "factor", value,
+                                      ifelse(type == "character", NA,
+                                             ifelse(type == "datetime" & Format %in% c("dd/mm/yy"), "ymd_hms",
+                                                    ifelse(type == "datetime" & Format %in% c("hh:mm"), "ymd_hms",
+                                                           ifelse(type == "numeric", NA, NA)))))),
+              levels  = ifelse(is.na(type), NA,
+                               ifelse(type != "factor", NA, level)),
+              missing = NA,
+              scale = NA,
+              condition = NA,
+              strict = "Yes")
+  return(subset(output, !is.na(varname)))
+}
diff --git a/R/checking.R b/R/checking.R
new file mode 100644
index 0000000..61c2f8b
--- /dev/null
+++ b/R/checking.R
@@ -0,0 +1,174 @@
+
+# find, match and correct variable names ----------------------------------
+
+find_match_correct_var <- function(x, realvar) {
+  if (is.atomic(x) || is.name(x)) {
+    x
+  } else {
+    if (is.call(x)) {
+      if (identical(x[[1]], quote(`==`)) | identical(x[[1]], quote(`is.na`)) | identical(x[[1]], quote(`%in%`)) | identical(x[[1]], quote(`as.numeric`))) {
+        id <- na.omit(match(tolower(x[[2]]), tolower(realvar)))
+        if (length(id) > 0) {
+          x[[2]] <- parse(text = realvar[id])[[1]]
+          x
+        }
+      } else {
+        as.call(lapply(x, find_match_correct_var, realvar = realvar))
+      }
+    } else {
+      as.call(lapply(x, find_match_correct_var, realvar = realvar))
+    }
+  }
+}
+
+find_match_correct_var_final <- function(cond, realvar) {
+  out <- deparse(find_match_correct_var(parse(text = cond)[[1]], realvar = realvar), width.cutoff = 500L)
+  return(gsub(pattern = "[\"]", replacement = "'", x = out))
+}
+
+
+# check data --------------------------------------------------------------
+
+#' Check formatted data based on a pre-defined information
+#'
+#' @description A function to check a formatted data frame based on a pre-defined information.
+#'
+#' @param data a formatted data frame to be checked.
+#' @param info a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable), condition (character variable specifies conditional checking), strict (a character variable [Yes, No] specifies whether missing data should be checked for each variable).
+#' @param id a character specifies name of subject id variable.
+#' @param check_missing a logical value specifies whether missing data should be checked.
+#' @param plot a logical value specifies whether plot (bar plot for categorical variables, boxplot for continuous variables) should be produced.
+#' @param prefix a character to be appended as prefix of all output files.
+#' @param outdir a character specifies where to save output files.
+#'
+#' @return A data frame lists all identified potential data errors.
+#' @export
+inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot = FALSE, prefix = "", outdir) {
+  requireNamespace("lubridate")
+  if (missing(outdir))
+    outdir <- "."
+  data <- data[, names(data)[tolower(names(data)) %in% tolower(info$varname)]]
+  info <- info[match(tolower(names(data)), tolower(info$varname)), ]
+
+  if (missing(check_missing) | (!missing(check_missing) & check_missing == TRUE)) {
+    info$check_missing <- TRUE
+
+    if ("strict" %in% names(info)) {
+      info$check_missing <- ifelse(info$strict == "Yes", TRUE, FALSE)
+    }
+  }
+  else {
+    info$check_missing <- FALSE
+  }
+  #browser()
+  output <- do.call("rbind",
+                    lapply(X = 1:ncol(data),
+                           FUN = function(x) {
+                             tmpdata <- data[, x]
+                             if ("condition" %in% names(info)) {
+                               if (!is.na(info$condition[x])) {
+                                 ## match variable name is condition
+                                 tmpcondition <- find_match_correct_var_final(cond = info$condition[x], realvar = names(data))
+                                 tmpdata <- eval(parse(text = paste0("subset(data,", tmpcondition, ")[, x]")))
+                               }
+                             }
+                             inspect.each(x = tmpdata,
+                                          varname = info$varname[x],
+                                          value = info$value[x],
+                                          type = info$type[x],
+                                          check_missing = info$check_missing[x])
+                           }))
+
+  if (!missing(id) & !is.null(output)) {
+    output[, id] <- paste("\"=\"\"", as.character(data[output$index,
+                                                       id]), "\"\"\"", sep = "")
+    output <- output[, c(id, "index", "error")]
+  }
+
+  if (plot) {
+    pdf(file = file.path(outdir, paste(prefix, "distribution.pdf",
+                                       sep = "_")), width = 12, height = 10, family = "Helvetica",
+        fonts = NULL, paper = "a4r")
+    layout(matrix(c(1:12), ncol = 4, nrow = 3, byrow = TRUE),
+           respect = TRUE)
+    N <- nrow(data)
+    for (i in (1:length(info$varname))) {
+      tmpdata <- data[, names(data)[tolower(names(data)) == tolower(info$varname[i])]]
+      tmplabel <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
+                              x = info$label[i]), start = 1, stop = 30)
+      if (length(na.omit(tmpdata)) == 0) {
+        plot(x = 1:10, y = 1:10,
+             main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ")", sep = ""),
+             type = "n", xlab = "", ylab = "")
+        text(x = 5, y = 5, labels = "No non-missing value")
+      }
+      else {
+        nNA <- sum(is.na(tmpdata))
+        if (mode(tmpdata) != "numeric" |
+            is.factor(tmpdata)) {
+          x <- barplot(table(tmpdata),
+                       main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""),
+                       xaxt = "n")
+          labs <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
+                              x = names(table(tmpdata))), start = 1, stop = 10)
+          text(cex = 1, x = x, y = 0, labs, xpd = TRUE, srt = 45, adj = 1)
+        }
+        else {
+          if (lubridate::is.POSIXct(tmpdata)) {
+            boxplot(as.Date(tmpdata),
+                    main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""))
+          }
+          else {
+            boxplot(tmpdata,
+                    main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""))
+          }
+        }
+      }
+    }
+    dev.off()
+  }
+  if (!is.null(output)) {
+    write.csv(output, file = file.path(outdir, paste(prefix,
+                                                     "error.csv", sep = "_")), quote = FALSE, row.names = FALSE)
+    return(output)
+  }
+  else {
+    cat("No error was found !")
+  }
+}
+
+inspect.each <- function (x, varname, type, value = NA, check_missing = TRUE) {
+  tmp <- NULL
+  if (check_missing) {
+    if (anyNA(x) | any(as.character(x) == "")) {
+      tmp <- rbind(tmp, data.frame(index = which(is.na(x) |
+                                                   as.character(x) == ""), error = paste("Missing value for",
+                                                                                         varname)))
+    }
+  }
+  if (type == "numeric" & (!is.na(value) & value != "")) {
+    range <- as.numeric(unlist(strsplit(value, split = ";")))
+    if (any(x < range[1] & !is.na(x))) {
+      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
+                                                   x < range[1]), error = paste("Out of range:",
+                                                                                varname, "<", range[1])))
+    }
+    if (any(x > range[2] & !is.na(x))) {
+      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
+                                                   x > range[2]), error = paste("Out of range:",
+                                                                                varname, ">", range[2])))
+    }
+  }
+  if (type == "factor" & !is.na(value)) {
+    range <- sapply(unlist(strsplit(value, split = ";")),
+                    function(x) gsub("[']", "", unlist(strsplit(x, split = "="))[2]),
+                    USE.NAMES = FALSE)
+    if (any(!x %in% range & !is.na(x))) {
+      xx <- x[!is.na(x) & !x %in% range]
+      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
+                                                   !x %in% range), error = paste("Out of range:",
+                                                                                 varname, "=", xx)))
+    }
+  }
+  return(tmp)
+}
diff --git a/R/createProject.R b/R/createProject.R
new file mode 100644
index 0000000..d23b6d5
--- /dev/null
+++ b/R/createProject.R
@@ -0,0 +1,27 @@
+#' Create project's folder based on pre-defined folder structure
+#'
+#' @description A generic function to create a project's folder based on pre-defined folder structure.
+#'
+#' @param dir a character specifies where to create the project's folder.
+#' @param structure a character specifies the pre-defined folder structure to be used.
+#'
+#' @return A message to confirm that the project's folder is created at the designed place.
+#' @export
+createProject <- function(dir, structure = c("OUCRU_RCT_wInterim")){
+  ## to create project directory
+  ## initial version: 23 July 2015
+
+  if (length(structure) > 1) {structure <- "OUCRU_RCT_wInterim"}
+
+  ## create destination folder
+  dir.create(dir)
+
+  ## copy folder structure into destination folder
+  file.copy(from = file.path(system.file(package = "C306"), "structure", structure, "."),
+            to = dir, recursive = TRUE)
+  file.rename(from = file.path(dir, "OUCRU_RCT_wInterim.Rproj"), to = file.path(dir, paste0(basename(dir), ".Rproj")))
+
+  # inform
+  cat(paste("Project", basename(dir), "was created in", dirname(dir), "\n", sep = " "))
+}
+
diff --git a/R/explicit.R b/R/explicit.R
new file mode 100644
index 0000000..056923e
--- /dev/null
+++ b/R/explicit.R
@@ -0,0 +1,54 @@
+#' Transform an object to its explicit form
+#' @description A function to transform an object to its explicit form if possible
+#' @param x An object
+#' @seealso \link{explicit.lm}
+#' @export
+explicit <- function(x, ...){
+  UseMethod('explicit')
+}
+
+#' Transform a model to its explicit form
+#' @description
+#' A function to transform an lm model formula to its explicit form.
+#' This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
+#' @param fit An object of class "lm"
+#' @examples
+#' iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
+#' explicit(iris.model)
+#' @return A model with explicit formula
+#' @seealso \link[stats]{add1}
+#' @export
+explicit.lm <- function(fit){
+  ._explicit_lm(fit, data = data, .meta = FALSE)
+  # if (length(data)) new_fit$call$data <- rlang::sym(deparse(substitute(data)))
+  # new_fit
+}
+
+._explicit_lm <- function(lm, .meta = FALSE, ...)
+{
+  formula <- formula(lm)
+  mf <- match.call(expand.dots = FALSE)
+  m <- match(c("lm", "data", "weights", "na.action",
+               "offset"), names(mf), 0L)
+  mf <- mf[c(1, m)]
+  mf$drop.unused.levels <- TRUE
+  # browser()
+  mf[[1L]] <- as.name("model.frame")
+  names(mf)[2L] <- "formula"
+  mf <- eval(mf, parent.frame())
+  y <- model.response(mf)
+  x <- model.matrix(lm)
+  new_data <- cbind(mf, model.matrix(lm)[,!colnames(x) %in% c('(Intercept)', colnames(mf))])
+  x_names <- paste0('`', gsub('(^`)|(`$)', '', colnames(x)[-1]), '`')
+  names(x_names) <- colnames(x)[-1]
+  # browser()
+  new_fml <- formula(call('~',
+                          parse(text = paste(x_names,
+                                             collapse = '+'),
+                                keep.source = FALSE)[[1L]]
+                          ))
+  new_lm <- update(lm, new_fml, data = new_data)
+  new_lm$call$data <- lm$call$data
+  if (.meta) attr(new_lm, 'name.map') <- structure(names(x_names), names = unname(x_names))
+  return(new_lm)
+}
diff --git a/R/formating.R b/R/formating.R
new file mode 100644
index 0000000..7259b96
--- /dev/null
+++ b/R/formating.R
@@ -0,0 +1,106 @@
+#' Format data based on pre-defined information
+#'
+#' @description A function to format each variable in data frame based on pre-defined information.
+#'
+#' @param data a data frame contains variables to be formatted
+#' @param info a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable).
+#'
+#' @return a data frame with variables are formatted according information specified in info
+#' @export
+myformat.data <- function(data, info){
+  # info should have these columns
+  #- varname: name of variables
+  #- label: label of variables
+  #- type: type of variables (numeric, factor, character, datetime)
+  #- unit: units of variables
+  #- value: values of variables (format of datetime variables/values of categorical variables)
+  #- levels: order of levels of categorical variables
+  #- missing: coding for missing values
+
+  ## recognize variable in data
+  allvars <- tolower(names(data))
+  flag <- names(data)[tolower(names(data)) %in% tolower(na.omit(info$varname))]
+  if (length(flag) == 0){stop("No variable in this data present in info !!!")}
+  info <- info[na.omit(match(tolower(flag), tolower(info$varname))),]
+
+  ## select variables mentioned in info
+  tmp <- data[, flag]
+
+  ## if scale & center are missing --> using NA
+  if (!"scale" %in% names(info)){info$scale <- NA}
+  if (!"center" %in% names(info)){info$center <- NA}
+
+  ## set type to lower case and no space
+  info$type <- gsub(" ", "", tolower(info$type))
+
+  ## perform formating
+  return(data.frame(mapply(myformat.each,
+                           x = as.list(tmp),
+                           label = info$label,
+                           type = info$type,
+                           unit = info$unit,
+                           scale = info$scale,
+                           center = info$center,
+                           value = info$value,
+                           levels = info$levels,
+                           missing = info$missing,
+                           SIMPLIFY = FALSE),
+                    stringsAsFactors = FALSE))
+}
+
+myformat.each <- function(x, label = NA, type, unit = NA, scale = NA, center = NA, value = NA, levels = NA, missing = NA){
+  type <- tolower(type)
+  ## missing data
+  if (!is.na(missing)){
+    missing <- gsub("['']", "", unlist(strsplit(as.character(missing), split = ";")))
+    for (i in missing) x[x == i] <- NA
+  }
+
+  ## check type
+  if (!type %in% c("numeric", "datetime", "character", "factor")){
+    stop("This type of data is not implemented yet !!!")
+  }
+
+  ## numeric data
+  if (type == "numeric"){
+    tmp <- as.numeric(x)
+    tmp <- structure(tmp,
+                     label = ifelse(is.na(label), "", label),
+                     unit = ifelse(is.na(unit), "", unit),
+                     scale = ifelse(is.na(scale), 1, scale),
+                     center = ifelse(is.na(center), 0, center))
+  }
+
+  ## datetime data
+  if (type == "datetime"){
+    requireNamespace("lubridate")
+    tmp <- eval(parse(text = paste("lubridate::", value, "(as.character(x))", sep = "")))
+    tmp <- structure(tmp, label = ifelse(is.na(label), "", label))
+  }
+
+  ## character data
+  if (type == "character"){
+    x[x == ""] <- NA
+    if (is.na(value)){tmp <- as.character(as.vector(x))} else {
+      requireNamespace("car")
+      tmp <- as.character(car::Recode(var = x, recodes = value, as.factor = FALSE))
+      tmp <- structure(tmp, label = ifelse(is.na(label), "", label))
+    }
+  }
+
+  ## factor data
+  if (type == "factor"){
+    requireNamespace("car")
+    #browser()
+    if (is.na(levels)|levels == ""){
+      tmp <- car::Recode(var = x, recodes = value, as.factor = TRUE)
+    } else {
+      tmp <- car::Recode(var = x, recodes = value, as.factor = TRUE,
+                         levels = gsub("['']", "", unlist(strsplit(levels, split = ";"))))
+    }
+    tmp <- structure(tmp, label = ifelse(is.na(label), "", label))
+  }
+
+  ## return
+  return(tmp)
+}
diff --git a/R/func_mult.R b/R/func_mult.R
new file mode 100644
index 0000000..c59f467
--- /dev/null
+++ b/R/func_mult.R
@@ -0,0 +1,113 @@
+#' Create or transform variables, with support for multiple assignment
+#'
+#' @description A function to create new variable(s) based on existing ones.
+#' @param .data A data.frame, data.table, or tbl
+#' @param ... Name-value pairs of expressions, following data.table syntax: "new_col" := expression.
+#' Multiple assignments can be done via c("new_col1", "new_col2") := expression_returning_a_list.
+#'
+#' If unnamed, names of each list elements will be used
+#' @return a data.frame, data.table, or a tbl
+#' @examples
+#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
+#'
+#' df %>%
+#' dplyr::group_by(foo) %>%
+#' mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
+#' @importFrom data.table :=
+#' @export
+mutate_f <- function(.data, ...){
+  UseMethod('mutate_f')
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.data.table <- function(.data, ...){
+  dt_out <- mutate_f.data.frame(.data, ...)
+  setDT(dt_out)
+  dt_out
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.tbl <- function(.data, ...){
+  dt_out <- mutate_f.data.frame(.data, ...)
+  dt_out <- tibble::as_tibble(dt_out)
+  dt_out
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.grouped_df <- function(.data, ...){
+  dt_out <- mutate_f.data.frame(.data, ...)
+  group_names <- dplyr::group_vars(.data)
+  dplyr::group_by_at(dt_out, dplyr::vars(!!!{{group_names}}))
+}
+
+#' @rdname mutate_f
+#' @export
+mutate_f.data.frame <- function(.data, ...){
+  group_names <- dplyr::group_vars(.data)
+  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
+  data_tbl <- data_tbl[, ..., by = group_names]
+  new_cols <- names(data_tbl)[!names(data_tbl) %in% union(group_names, names(.data))]
+  data_tbl <- cbind(as.data.frame(.data), as.data.frame(data_tbl)[,new_cols])
+  data_tbl
+}
+
+#########################################################
+
+#' Reduce multiple values by summarisation functions.
+#'
+#' @description Create variables summarising exisiting variables, by using summarisation function.
+#' @param .data A data.frame, data.table, or tbl
+#' @param ... Summarisation functions.
+#' Each of which must return a named list, whose names stand for new variables' names.
+#' Anonymous functions must be wrapped in parentheses.
+#'
+#' @return a data.frame, data.table, or a tbl
+#' @examples
+#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
+#'
+#' df %>%
+#' dplyr::group_by(foo) %>%
+#' summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
+#' @importFrom data.table :=
+#' @export
+summarise_f <- summarize_f <- function(.data, ...){
+  UseMethod('summarise_f')
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.data.frame <- function(.data, ...){
+  # browser()
+  .fun <- lapply(rlang::enquos(...), rlang::quo_get_expr)
+  group_names <- dplyr::group_vars(.data)
+  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
+  expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, c(!!!.fun), by = group_names]))
+  rlang::eval_tidy(expr)
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.data.table <- function(.data, ...){
+  dt_out <- summarise_f.data.frame(.data, ...)
+  setDT(dt_out)
+  dt_out
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.tbl <- function(.data, ...){
+  dt_out <- summarise_f.data.frame(.data, ...)
+  dt_out <- tibble::as_tibble(dt_out)
+  dt_out
+}
+
+#' @rdname summarise_f
+#' @export
+summarise_f.grouped_df <- function(.data, ...){
+  dt_out <- summarise_f.data.frame(.data, ...)
+  group_names <- dplyr::group_vars(.data)
+  dplyr::group_by_at(dt_out, dplyr::vars(!!!{{group_names}}))
+}
diff --git a/R/getlabel.R b/R/getlabel.R
new file mode 100644
index 0000000..8f0808c
--- /dev/null
+++ b/R/getlabel.R
@@ -0,0 +1,104 @@
+#' Obtain label of variable(s) based on metadata information
+#'
+#' @description A function to obtain label of one vector or each variable in one data frame based on pre-defined metadata information.
+#'
+#' @param x a vector or data frame to get label.
+#' @param meta a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).
+#' @param unit a logical value specifies whether unit will be appendded in the label of continous variables.
+#' @param fit a logical value specifies whether the label will use presentation as in model fitting.
+#'
+#' @return vector of character of label
+#' @export
+getlabel <- function(x, meta = NULL, unit = TRUE, fit = FALSE){
+  if (is.null(dim(x))) {
+    getlabel.one(x, meta = meta, unit = unit, fit = fit)
+  } else {
+    getlabel.data(x, meta = meta, unit = unit, fit = fit)
+  }
+}
+
+getlabel.default <- function(x, unit = TRUE, fit = FALSE){
+  if (is.null(attr(x, "type"))) attr(x, "type") <- ""
+  if (is.null(attr(x, "label"))) attr(x, "label") <- ""
+
+  # to create polished label
+  if ((is.factor(x) | attr(x, 'type') == 'factor') | unit == FALSE) {
+    # if factor or do not need unit
+    as.character(attr(x, 'label'))
+  } else {
+    # if not factor and need unit
+    new_unit <- ifelse(fit == FALSE, ifelse(is.null(attr(x, 'unit')), '', attr(x, 'unit')),
+                       paste('+',
+                             ifelse(is.null(attr(x, 'scale')), 1, attr(x, 'scale')),
+                             ' ',
+                             ifelse(is.null(attr(x, 'unit')), '', attr(x, 'unit')), sep = ''))
+    ifelse(new_unit == "",
+           as.character(attr(x, 'label')),
+           as.character(paste(attr(x, 'label'), ' [', new_unit, ']', sep = '')))
+
+  }
+}
+
+getlabel.one <- function(x, meta = NULL, unit = TRUE, fit = FALSE){
+  # to create polished label for variable x from meta information
+
+  if (!is.null(meta)) {
+    # extract meta info
+    .label <- ifelse(is.na(meta$label[meta$varname == x]), '', meta$label[meta$varname == x])
+    .unit <- ifelse(is.na(meta$unit[meta$varname == x]), '', meta$unit[meta$varname == x])
+    .scale <- ifelse(is.na(meta$scale[meta$varname == x]), 1, meta$scale[meta$varname == x])
+    .type <- meta$type[meta$varname == x]
+
+    # create label
+    if (.type == 'factor' | unit == FALSE) {
+      # if factor or do not need unit
+      out <- as.character(.label)
+    } else {
+      # if not factor and need unit
+      new_unit <- ifelse(fit == FALSE, .unit, paste('+', .scale, ' ', .unit, sep = ''))
+      out <- as.character(paste(.label, ' [', new_unit, ']', sep = ''))
+    }
+  } else {
+    # if no meta information
+    out <- getlabel.default(x, unit = unit, fit = fit)
+  }
+
+  # return
+  out
+}
+
+getlabel.data <- function(data, meta = NULL, unit = TRUE, fit = FALSE){
+  # to create polished label for variables in data frame data from meta information
+
+  out <- names(data)
+
+  if (!is.null(meta)) {
+    namedat <- merge(data.frame(varname = out), meta, by = 'varname', all.x = TRUE)
+
+    # extract meta info
+    namedat <- transform(.label = ifelse(is.na(label), varname, label),
+                         .unit = ifelse(is.na(unit), '', unit),
+                         .scale = ifelse(is.na(scale),  1, scale))
+
+    # create label
+    if (unit == FALSE) {
+      out <- as.character(namedat$.label)
+    } else {
+      if (fit) {namedat$.unit <- with(namedat, paste('+', .scale, ' ', .unit, sep = ''))}
+      out <- with(namedat, ifelse(type == 'factor', as.character(.label), as.character(paste0(.label, ' [', .unit, ']'))))
+    }
+  } else {
+    if (ncol(data) == 1) {
+      out <- getlabel.default(data)
+    } else {
+      out <- sapply(data, getlabel.default)
+    }
+    if (any(out == "")){
+      tmp <- colnames(data)
+      out <- ifelse(out == "", tmp, out)
+    }
+  }
+
+  # return
+  out
+}
diff --git a/R/group_effect.R b/R/group_effect.R
new file mode 100644
index 0000000..b4c567b
--- /dev/null
+++ b/R/group_effect.R
@@ -0,0 +1,201 @@
+#' Calculation of covariable effects within each value of another covariable that has interaction
+#' @description This function calculate the OR, CI, an p.value within each value of specified covariable.
+#' @param formula
+#' A formula in the the form of A + B ~ X, where
+#'
+#' - X is the covariable to be concerned. X must be of type factor.
+#' - A, B are the covarables having interaction with X whose effects will be calculated.
+#' If . or blank. All covariables having interaction with X would be included.
+#'
+#' @param model A fitted glm model
+#' @param method
+#' a string whose value is either
+#' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+#' or "wald" for CI and tests based on Wald statistics
+#' @param stat_digits  Number of decimal digits for statistics
+#' @param p_digits Number of decimal digits for the p-values
+#' @param simplify by default, if there is only one variable on each side of the formula and
+#' no LHS is a binary, then the function will combine tables in each state of X to one.
+#' Set to FALSE to avoid this behaviour.
+#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
+#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
+#' @return Under certain circumstances defined in param simplify, a flextable, an sstable,
+#' a data.frame of class 'subgroup_logist_summary',
+#' or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
+#' @author Trinh Dong Huu Khanh
+#' @export
+subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, sstable=FALSE, flextable=FALSE, simplify = TRUE)
+{
+  # browser()
+  method <- match.arg(method)
+  mf <- model.frame(model)
+  all_ia <- ._get_interaction_terms(model)
+  base_var <- formula.tools::rhs.vars(formula)
+  base_lv <- levels(as.factor(mf[[base_var]]))
+  summary_vars <- formula.tools::lhs.vars(formula)
+  assertthat::assert_that(length(base_var) == 1,
+                          msg = 'rhs must be of length 1')
+  ._assert_ia(base_var, all_ia$ia.vars)
+  has_base <- sapply(all_ia$ia.vars, function(ia_var) base_var %in% ia_var)
+  base_ia <- sapply(all_ia, `[`, has_base, simplify = FALSE)
+  summary_vars.auto <-
+    unname(unlist(lapply(base_ia$ia.vars,function(ia.var) ia.var[ia.var != base_var])))
+  if (length(summary_vars) &
+      !(length(summary_vars) == 1 & !length(setdiff(summary_vars, '.'))))
+  {
+    ._assert_ia(summary_vars, summary_vars.auto)
+  } else summary_vars <- summary_vars.auto
+  y <- model.response(mf)
+  # browser()
+  ci.p <- sapply(base_lv, function(lv){
+    new_mf <- mf
+    new_mf[[base_var]] <- relevel(as.factor(new_mf[[base_var]]), ref = lv)
+    new_model <- update(model, data = new_mf)
+    new_mm <- model.matrix(new_model)
+    est <- lapply(summary_vars, function(sv){
+      k <- which(names(new_mf) == sv) - 1
+      iS <- which(attr(new_mm, 'assign') == k)
+      est.sv <- coef(new_model)[iS]
+      names(est.sv) <- colnames(new_mm)[iS]
+      est.sv
+    })
+    if (method == 'lik.ratio'){
+      logLik.full <-logLik(new_model)
+      # browser()
+      ci.lower <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.lower.sv <- suppressMessages(confint(new_model))[iS,1]
+        names(ci.lower.sv) <- colnames(new_mm)[iS]
+        ci.lower.sv
+      })
+      ci.upper <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.upper.sv <- suppressMessages(confint(new_model))[iS,2]
+        names(ci.upper.sv) <- colnames(new_mm)[iS]
+        ci.upper.sv
+      })
+      p <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        p.sv <- sapply(iS, function(i){
+          fit.i <- glm.fit(x = new_mm[, -i], y = y, family = binomial())
+          logLik.i <- logLik(structure(fit.i, class = 'glm'))
+          1 - pchisq(2 * (logLik.full - logLik.i), 1)
+        })
+        names(p.sv) <- colnames(new_mm)[iS]
+        p.sv
+      })
+    } else {
+      ci.lower <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.lower.sv <- suppressMessages(confint.default(new_model))[iS,1]
+        names(ci.lower.sv) <- colnames(new_mm)[iS]
+        ci.lower.sv
+      })
+      ci.upper <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        ci.upper.sv <- suppressMessages(confint.default(new_model))[iS,2]
+        names(ci.upper.sv) <- colnames(new_mm)[iS]
+        ci.upper.sv
+      })
+      ps <- coef(summary(new_model))[, 'Pr(>|z|)']
+      p <- lapply(summary_vars, function(sv){
+        k <- which(names(new_mf) == sv) - 1
+        iS <- which(attr(new_mm, 'assign') == k)
+        p.sv <- ps[iS]
+        p.sv
+      })
+    }
+
+    # browser()
+    list(
+      log.OR = do.call(c, as.list(unlist(est))),
+      OR = do.call(c, as.list(exp(unlist(est)))),
+      CI.lower = do.call(c, as.list(unlist(ci.lower))),
+      CI.upper = do.call(c, as.list(unlist(ci.upper))),
+      p.value = do.call(c, as.list(unlist(p))))
+  }, simplify = FALSE)
+  # browser()
+  out <- lapply(ci.p, function(.x) do.call(cbind, .x))
+  out <- sapply(out,
+                function(.out){
+                  for (i in 1:4)
+                    .out[,i] <- formatC(as.numeric(.out[,i]),
+                                        digits = stat_digits, format = 'f')
+                  .out[,'p.value'] <- formatC(as.numeric(.out[,'p.value']),
+                                              p_digits, format = 'f')
+                  .out
+                }, simplify = FALSE)
+  # message('- CI and p-value are based on ',
+  #         switch(method, wald = 'Wald', lik.ratio = 'Likelihood ratio'),
+  #         ' test with 95% level of confidence.')
+  if (all(sapply(out, nrow) == 1) & simplify){
+    message('- Effect table for ', crayon::green(rownames(out[[1]])))
+    grp <- names(out)
+    out <- do.call(rbind, out)
+    rownames(out) <- grp
+    lgs <- ._as_logist_summary(out, method = method, stringsAsFactor = FALSE)
+    class(lgs) <- c('subgroup_logist_summary', class(lgs))
+    attr(lgs, 'base_var') <- base_var
+    attr(lgs, 'summary_vars') <- summary_vars
+    return(lgs)
+  }
+  tbl <- structure(sapply(out, ._as_logist_summary,
+                   method = method, stringsAsFactors = FALSE,
+                   simplify = FALSE),
+            class = 'subgroup_logist_summary',
+            base_var = base_var,
+            summary_vars = summary_vars)
+  if (flextable) sstable <- TRUE
+  if (sstable) return(as_sstable.subgroup_logist_summary(tbl, flextable = flextable))
+  tbl
+}
+
+._get_interaction_terms <- function(fit){
+  fml <- formula(fit)
+  ia.terms <- attr(terms(fml),"term.labels")[attr(terms(fml),"order")>1]
+  ia.factors <- attr(terms(fml),"factors")[,ia.terms, drop = FALSE]
+  ia.vars <- sapply(ia.terms,
+                    function(ia.term) rownames(ia.factors)[ia.factors[,ia.term] == 1],
+                    simplify = FALSE)
+  return(list(ia.terms = ia.terms, ia.vars = ia.vars))
+}
+
+._assert_ia <- function(vars, ia_vars){
+  for (v in vars){
+    assertthat::assert_that(
+      v %in% unique(unlist(ia_vars)),
+      msg = paste(deparse(substitute(v)), 'not exists in interaction terms.')
+    )
+  }
+}
+
+._as_logist_summary <- function(x, method, ...){
+  x <- as.data.frame(x, ...)
+  class(x) <- c('logist_summary', class(x))
+  attr(x, 'method') <- method
+  attr(x, 'footer') <- paste('Note: 95% confidence intervals and p-values are based on', method, 'statistics.')
+  x
+}
+
+print.subgroup_logist_summary <- function(x, ...){
+  if (is.data.frame(x)) NextMethod('print')
+  else {
+    method <- attr(x[[1]], 'method')
+    base_var <- attr(x, 'base_var')
+    cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
+    cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
+    for (i in seq_along(x)){
+      name <- paste0(base_var, ' = ', names(x)[i])
+      this <- cbind(rn = rownames(x[[i]]), x[[i]])
+      colnames(this)[[1]] <- name
+      print.data.frame(this, row.names = FALSE)
+      cat('\n')
+    }
+  }
+  invisible(x)
+}
diff --git a/R/labAE.R b/R/labAE.R
new file mode 100644
index 0000000..31ee63d
--- /dev/null
+++ b/R/labAE.R
@@ -0,0 +1,15 @@
+#' Identify new lab adverse event to report
+#'
+#' @description A function to identify new lab adverse event to report from a vector of consecutive lab adverse event grade.
+#'
+#' @param data a numeric vector of consecutive lab adverse event grade.
+#' @param gradecut a grade threshold to report.
+#'
+#' @return A factor specifies whether new lab adverse event to report is identified or not.
+#' @export
+labAE <- function(data, gradecut){
+  cur <- data; pre <- lag(cur, k = 1)
+  out <- ifelse(is.na(cur), NA,
+                ifelse((is.na(pre) | (!is.na(pre) & (pre < cur))) & (cur >= gradecut), "Yes", "No"))
+  return(factor(out, levels = c("Yes", "No")))
+}
diff --git a/R/logist_summary.R b/R/logist_summary.R
new file mode 100644
index 0000000..f7e938c
--- /dev/null
+++ b/R/logist_summary.R
@@ -0,0 +1,112 @@
+#' An alternative summary for a logistic model with OR, CI, and p-values
+#' @description a function to create summary table for glm logistic model
+#' @param fit a logistic regression model of class "glm"
+#' @param method
+#' a string whose value is either
+#' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+#' or "wald" for CI and tests based on Wald statistics
+#' @param stat_digits  Number of decimal digits for statistics
+#' @param p_digits Number of decimal digits for the p-values
+#' @param verbose logical value specifying whether to print out result and notation. Default is FALSE
+#' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
+#' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
+#' Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}
+#' @param ... additional params passed to \link{ss_flextable}
+#' @author Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
+#' @seealso \link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
+#' @return A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
+#' @export
+logist_summary <- function(fit, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, verbose = FALSE,
+                           sstable = FALSE, flextable = FALSE, ...){
+  compatible <- FALSE
+  if (length(fit$family)) {
+    if ((fit$family$family=='binomial')|(fit$family$link=='logit')) compatible <- TRUE
+  }
+  # browser()
+  if (!compatible) stop("This function only works for logistic regression.")
+  method <- match.arg(method)
+  if (flextable) sstable <- TRUE
+  if (sstable) verbose <- FALSE
+
+  summary_method <- switch(method, lik.ratio = ._lik.ratio_summary, wald = ._wald_summary)
+  result_obj <- summary_method(fit, stat_digits = stat_digits, p_digits = p_digits, verbose = verbose)
+
+  out <- structure(result_obj$table, footer = result_obj$footer, method = method, class = c('logist_summary','data.frame'))
+  if (sstable) return(as_sstable.logist_summary(out, flextable = flextable))
+  if (verbose) return(invisible(print(out)))
+  return(out)
+}
+
+._wald_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE){
+  est <- coef(fit)
+  ci <- suppressMessages(confint.default(fit))
+  result <- data.frame(log.OR = est, OR = exp(est),
+                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]), p.value = summary(fit)$coef[,"Pr(>|z|)"])
+  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
+  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
+  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
+  if (verbose){
+    cat("\nNote: 95% confidence intervals and p-values are based on Wald statistics.\n\n",
+        "\n(Inference based on likelihood ratio statistics can be obtained with logist.summary(",deparse(substitute(obj)),") and is usually more accurate.\n)",sep="")
+  }
+  return(list(table = result,
+              footer = "Note: 95% confidence intervals and p-values are based on Wald statistics."))
+}
+
+._lik.ratio_summary <- function(fit, stat_digits=2, p_digits=4, verbose = FALSE, sstable = FALSE){
+  est <- coef(fit)
+  ci <- suppressMessages(confint(fit))
+  result <- data.frame(log.OR = est, OR = exp(est),
+                       lower.CI = exp(ci[,1]), upper.CI = exp(ci[,2]))
+
+  has.intercept <- (names(coef(fit))[1]=="(Intercept)")
+  any.ia <- any(attr(terms(formula(fit)),"order")>1)
+  # browser()
+  logLik.full <- logLik(structure(fit, class = 'glm'))
+  x <- names(coef(fit))
+  y <- model.response(model.frame(fit, drop.unused.levels = TRUE))
+  p <- sapply(seq_along(x), function(i){
+    fit.i <- glm.fit(x = model.matrix(fit)[,-i], y = y, family = binomial())
+    logLik.i <-logLik(structure(fit.i, class = 'glm'))
+    1 - pchisq(2 * (logLik.full - logLik.i), 1)
+  })
+  names(p) <- x
+  result <- merge(result, data.frame(p.value = p), all.x = TRUE, by='row.names')
+  rownames(result) <- result[,'Row.names']
+  result <- result[, -1]
+
+  for (i in 1:4) result[,i] <- formatC(result[,i], digits = stat_digits, format = 'f')
+  if (length(result$p.value)) result$p.value <- formatC(result$p.value, p_digits, format = 'f')
+  result$p.value <- ifelse(grepl('NA', result$p.value), '', result$p.value)
+  if (naprint(fit$na.action)!="") message("\nNote:",naprint(fit$na.action))
+  if (verbose) {
+    cat("\nNote: 95% confidence intervals and p-values are based on likelihood ratio statistics.\n\n")
+    if (!has.intercept) cat("\nNote: p-values of LR-tests not calculated because model has no intercept.\n\n")
+  }
+
+  return(list(table = result,
+              footer = c(
+                "Note: 95% confidence intervals and p-values are based on likelihood ratio statistics.",
+                if (!has.intercept)
+                  "p-values of LR-tests not calculated because model has no intercept.")))
+  # return(result)
+}
+
+# provide a method for family to get the family of glm.fit
+family.list <- function(object,...) object$family
+
+
+#' Print method for logist_summary
+#' @description Print method for logist_summary table
+#' @param x an object of class logist_summary
+#' @param ... additional params passed to print.data.frame
+#' @return invisibly return itself
+#' @seealso \link{print.data.frame}
+#' @export
+print.logist_summary <- function(x, ...)
+{
+  method <- attr(x, 'method')
+  cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
+  cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
+  print.data.frame(x, ...)
+}
diff --git a/R/simple_relevel.R b/R/simple_relevel.R
new file mode 100644
index 0000000..b8824ca
--- /dev/null
+++ b/R/simple_relevel.R
@@ -0,0 +1,95 @@
+#' Relevel in correspondence to another factor
+#'
+#' @description Function to relevel a variable in accordance to a another variable of class "factor".
+#' @return An object of the same class as the input
+#' @export
+simple_relevel <- function(x, ...){
+  UseMethod('simple_relevel')
+}
+
+#' @rdname simple_relevel
+#'
+#' @param data A data.frame
+#' @param by A vector or unquoted variable name the relevelling process will base on
+#' @param ... Unquoted variable names that will be relevelled
+#' @export
+simple_relevel.data.frame <- function(data, ..., by){
+  #... variables to relevel
+  # by: variable that is based on
+  require(dplyr)
+  requireNamespace('rlang')
+  dep.vars <- rlang::enquos(...)
+  dep.vars.2 <- sapply(dep.vars, function(dep.var) rlang::quo_name(dep.var))
+  by <- rlang::enquo(by)
+  by.2 <- rlang::quo_name(by)
+  # browser()
+  if (!is.factor(data[[by.2]])) data[[by.2]] <- as.factor(data[[by.2]])
+  for(i in seq_along(dep.vars.2)){
+    # browser()
+    dep.var.2 <- dep.vars.2[[i]]
+    dep.var <- dep.vars[[i]]
+    isolated.data <-
+      data[c(by.2, dep.var.2)] %>%
+      unique() %>% #remove all dup
+      arrange({{dep.var}}) %>% arrange({{by}})# first, sort the data by dep.var to retain prev levels, second by "by"
+    dep.var.lv <- isolated.data[[dep.var.2]]
+    # browser()
+    data[[dep.var.2]] <- factor(data[[dep.var.2]], levels = dep.var.lv)
+  }
+  data
+}
+
+#' @rdname simple_relevel
+#'
+#' @param x a vector that will be relevelled
+#' @param by a vector that the relevelling process will base on
+#' @param map a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
+#' or a data.frame with two columns "from" and "to" serving the same purpose.
+#' @param value a string: whether to return
+#'
+#' - "levels": new levels only
+#'
+#' - "unsorted" (default): an unsorted, relevelled factor
+#'
+#' - "sorted": a sorted, relevelled factor
+#' @return A factor or a numeric vector of order
+#' @export
+simple_relevel.default <- function(x, by, map, value = c('unsorted', 'sorted', 'levels')){
+  requireNamespace('dplyr')
+  value <- match.arg(value)
+  if (!is.data.frame(map)){
+    map <- do.call(rbind,
+                   lapply(seq_along(map),
+                          function(i){
+                            .map <- map[i]
+                            name <- names(.map)
+                            data.frame(from = rep(name, length(map[[i]])), to = map[[i]])
+                          }))
+  }
+  # browser()
+  stopifnot(setequal(unique(x), map$to))
+  stopifnot(setequal(unique(by), map$from))
+  map$from <- factor(map$from, levels = levels(by))
+  X <- data.frame(to = x)
+  data <- merge(X, map, by = 'to', all.x = TRUE)
+  to <- simple_relevel.data.frame(data, to, by = from)$to
+  if (value == 'sorted') return(to)
+  lv <- levels(to)
+  if (value == 'levels') return(lv)
+  factor(x, levels = lv)
+}
+
+#' Sort a vector in a user-defined order
+#' @description A function to sort a vector i an user-defined order
+#' @param x A vector to be sorted
+#' @param order A manually defined order vector
+#' @return A vector
+#' @export
+simple_sort <- function(x, order = levels(as.factor(x))){
+  stopifnot(length(order) == length(unique(x)))
+  x_factor <- factor(x, levels = order)
+  x_sort <- sort(x_factor)
+  x_retrieve <- as(levels(x_sort), typeof(x))[x_sort]
+  attributes(x_retrieve) <- attributes(x)
+  x_retrieve
+}
diff --git a/R/ssformat.R b/R/ssformat.R
new file mode 100644
index 0000000..1ba9fff
--- /dev/null
+++ b/R/ssformat.R
@@ -0,0 +1,625 @@
+## Quick sstable drawing helpers
+## Author: trinhdhk
+## Day first written: Sep 20 2019
+## Latest build: Sep 27 2019
+## Ver 0.1.0.092019
+
+## Check legitibility
+ss_legit <- function(sstable){
+  requireNamespace('tibble')
+  if (!is.matrix(sstable) & !is.data.frame(sstable)) stop('sstable must be of type matrix or data frame.')
+  return(as.matrix(sstable))
+}
+#' Set template for sstable
+#'
+#' @description This function set the template for sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param template
+#' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+#'
+#' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
+#' @return a matrix of class ss_tbl
+#' @export
+ss_template <- function(sstable, template =  c('baseline', 'survcomp', 'ae')){
+  sstable <- ss_legit(sstable)
+  ss.class <- class(sstable)
+  if (missing(template)) template <- NA
+  if (!is.na(template)) template <- match.arg(template)
+  if (is.na(template)){
+    template <- c('baseline', 'survcomp', 'ae')
+    template.match <- match(template, ss.class)
+    template.match <- template.match[!is.na(template.match)]
+    if (length(template.match) > 1) template.match <- template.match[[1]]
+    template <- template[template.match]
+  }
+
+  template <- paste0(template, '_tbl')
+  class(sstable) <- unique(c(template, 'ss_tbl', 'matrix', class(sstable)))
+  return(sstable)
+}
+
+#' Designation of header rows for custom sstable
+#'
+#' @description This function set the designated rows as header rows of a sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param rows a numeric vector
+#' @return a matrix of class ss_tbl
+#' @export
+ss_header <- function(sstable, rows) {
+  sstable <- ss_legit(sstable)
+  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  rownames(sstable)[rows] <- paste("header", seq_along(rows), sep=".")
+  ss_table <- ss_template(sstable, template = NA)
+  sstable
+}
+
+#' Designation of body part for custom sstable
+#'
+#' @description This function set the designated rows as body part of a sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param rows a numeric vector
+#' @return a matrix of class ss_tbl
+#' @export
+ss_body <- function(sstable, rows){
+  sstable <- ss_legit(sstable)
+  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  rownames(sstable)[rows] <- paste("body", seq_along(rows), sep=".")
+  ss_table <- ss_template(sstable, template = NA)
+  sstable
+}
+
+#' Designation of section title rows for custom sstable
+#'
+#' @description This function set the designated rows as section title rows of an sstable
+#' @param sstable a data frame following sstable's grammar
+#' @param rows a numeric vector
+#' @return a matrix of class ss_tbl
+#' @export
+ss_section <- function(sstable, rows){
+  sstable <- ss_legit(sstable)
+  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  rownames(sstable)[rows] <- paste("section", seq_along(rows), sep=".")
+  ss_table <- ss_template(sstable, template = NA)
+  sstable
+}
+
+#' Quick format a sstable in preparation for create flextable/huxtable
+#'
+#' @description This function is the combination of ss_header, ss_body, and ss_section.
+#' @param sstable a data frame following sstable's grammar
+#' @param header a numeric vector that will be passed to ss_header
+#' @param section a numeric vector that will be passed to ss_section
+#' @param body a numeric vector that will be passed to ss_body
+#' @param template
+#' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+#'
+#' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
+#' @param .guess a logical value. If TRUE, the function will try to get each row belongs to which part.
+#' @return a matrix of class ss_tbl
+#' @export
+ss_format <- function(sstable, header = c(), section = c(), body = c(), template =  c('baseline', 'survcomp', 'ae'), .guess= TRUE){
+  if (missing(template)) template <- NA
+  if (!is.na(template)) template <- match.arg(template)
+  sstable <- ss_template(sstable, template = template)
+  if (.guess) {
+    no.guess <- na.omit(as.numeric(c(header, section, body)))
+    # filter out from guess what have been defined
+    guess <- ss_guess_format(sstable)
+    h <- which(guess == 'header')
+    s <- which(guess == 'section')
+    b <- which(guess == 'body')
+    # filling the undecided row with auto guess
+    header <- unique(c(h[!h %in% no.guess], header))
+    # if (length(colnames(sstable))) header <- c('colnames', header)
+    section <- unique(c(s[!s %in% no.guess], section))
+    body <- unique(c(b[!b %in% no.guess], body))
+  }
+  if (length(header)) sstable <- ss_header(sstable, rows = header)
+  if (length(body)) sstable <- ss_body(sstable, rows = body)
+  if (length(section)) sstable <- ss_section(sstable, rows = section)
+  class(sstable) <- c('formatted_sstable', class(sstable))
+  sstable
+}
+
+# An incomplete algorithm to guess the format of each sstable row.
+ss_guess_format <- function(sstable){
+  UseMethod('ss_guess_format')
+}
+
+ss_guess_format.default <- function(sstable){
+  guess <- sapply(1:nrow(sstable),
+                  function(i){
+                    r <- sstable[i,]
+                    if (isTRUE(grepl("header", rownames(sstable)[i]))) return("header")
+                    if (all(is.na(suppressWarnings(as.numeric(r)))) && i <= 2) return("header")
+                    if (sum(r == '') == ncol(sstable)-1) return("section")
+                    return("body")
+                  })
+  return(guess)
+}
+
+ss_guess_format.ae_tbl <- function(sstable){
+  guess <- sapply(1:nrow(sstable),
+                  function(i){
+                    if (i <= 2) return('header')
+                    r <- sstable[i, ]
+                    if (sum(r == '') >= 2) return('section')
+                    return('body')
+                  })
+  return(guess)
+}
+
+ss_guess_format.baseline_tbl <- function(sstable){
+  guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
+  return(guess)
+}
+
+ss_guess_format.survcomp_tbl <- function(sstable){
+  guess <- c(rep('header',2), rep('body', nrow(sstable)-2))
+  return(guess)
+}
+
+ss_guess_format.summary_tbl <- function(sstable){
+  guess <- c('header', rep('body', nrow(sstable)-1))
+  return(guess)
+}
+
+#' Create summary table using flextable package.
+#'
+#' @description This function generate a flextable from a sstable.
+#' @param sstable a data frame following sstable's grammar
+#' @param footer a character vector each of which is the footnote of the flextable
+#' @param bg a character string that defines stripped background color of the flextable
+#' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
+#' @seealso \link[flextable]{flextable}
+#' @return an object of class flextable
+#' @export
+ss_flextable <- function(sstable, ...){
+  UseMethod('ss_flextable')
+}
+
+#' @rdname ss_flextable
+#' @param add_footer additional footer lines to be appended to object footers
+#' @export
+ss_flextable.list <- function(sstable, add_footer = NULL,...){
+  ss_flextable(sstable$table, footer = c(sstable$footer, add_footer), ...)
+}
+
+#' @rdname ss_flextable
+#' @export
+ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
+  requireNamespace("flextable")
+  requireNamespace("officer")
+  if (!inherits(sstable, 'formatted_sstable')) sstable <- ss_format(sstable, ..., .guess = TRUE)
+  header <- which(grepl("header", rownames(sstable)))
+  body <- which(grepl("body", rownames(sstable)))
+  section <-  which(grepl("section", rownames(sstable)))
+
+  colnames(sstable) <- NULL
+  sstable <- as.data.frame(sstable, stringsAsFactors = FALSE)
+  col.even <- ncol(sstable) %% 2 == 0
+
+  ## headers
+  ss.header <- sstable[header,]
+  names(ss.header) <- colnames(sstable)
+  # browser()
+
+  ss.header2 <-
+      lapply(seq_along(header),
+             function(i){
+               h <- ss.header[i, ]
+               if (col.even) col <- 2:(ncol(sstable)-1)
+               else col <- 2:ncol(sstable)
+               right_fill <- h[[max(col)]] != "" & h[[1]] == ""
+
+               h <- sapply(seq_along(h),
+                      function(j){
+                        if (h[[j]] == "") {
+                          if (j == ncol(sstable) && i>1) return(ss.header[i-1,j])
+                          if (j == 1){
+                            if (i > 1) return(ss.header[i-1,j]) #lag 1 row
+                            return(h[[j]]) #return ""
+                          }
+                          if (right_fill) return(h[[j+1]])
+                          return(h[[j-1]])
+                        }
+                        return(h[[j]])
+                      })
+               names(h) <- paste0('V',1:ncol(sstable))
+               return(h)
+             }
+    )
+  # browser()
+
+  ## Create the flextable
+  ft <- flextable::flextable(sstable[-header,, drop = FALSE])
+  # browser()
+
+  ## header format
+  ft <- flextable::set_header_labels(ft, values = ss.header2[[1]])
+  if (length(ss.header2) > 1)
+    for (i in seq_along(ss.header2)[-1])
+      ft <- flextable::add_header_row(ft, values = ss.header2[[i]], top = F)
+
+  ft <- flextable::merge_h(ft, part = "header")
+  ft <- flextable::merge_v(ft, part = "header")
+
+  ## footer format
+  for (k in (seq_along(footer))) {
+    ft <- flextable::add_footer(ft, V1 = footer[k], top = FALSE)
+    ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = "footer")
+  }
+
+  ## section format
+  for (k in section){
+    ft <- flextable::bold(ft, i = k-length(header), j = 1:ncol(sstable), part = 'body')
+    ### merging cells that from the left if the whole row is empty
+    if (all(sstable[k, -1] == ''))
+      ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = 'body')
+  }
+
+  ## format flextable
+  ## width
+  ft <- flextable::autofit(ft)
+  ### alignment
+  ft <- flextable::align(ft, j = 1, align = "left", part = "all")
+  ### faces of header
+  ft <- flextable::bold(ft, part = "header")
+  ### background
+  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(sstable[-header,]), by = 2), j = 1:length(ss.header2[[1]]),
+                      bg = bg, part = "body")
+  ### border
+  tabbd <- officer::fp_border(color="black", width = 1.5)
+  ft <- flextable::border_remove(ft)
+  ft <- flextable::hline(ft, border = tabbd, part = "header")
+  ft <- flextable::hline_top(ft, border = tabbd, part = "all")
+  ft <- flextable::hline_bottom(ft, border = tabbd, part = "body")
+  return(ft)
+}
+
+#' Create summary table using huxtable package.
+#'
+#' @description This function generate a huxtable from a sstable.
+#' @param sstable a data frame following sstable's grammar
+#' @param footer a character vector each of which is the footnote of the flextable
+#' @param caption a string containing table caption. Default is NULL
+#' @param caption_pos
+#' A length-one character vector,
+#' one of "top", "bottom", "topleft", "topcenter", "topright", "bottomleft", "bottomcenter", "bottomright".
+#' Default is "bottomcenter".
+#'
+#' See also \link[huxtable]{caption_pos}
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
+#' @param border_width a number that defines huxtable border width
+#' @param border_color a character string that defines huxtable border color
+#' @param wrap a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
+#' This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
+#' See also \link[huxtable]{wrap}
+#' @param ... additional parameters that will be passed to ss_format if the sstable has yet to be formatted.
+#' @return an object of class huxtable
+#' @seealso \link[huxtable]{huxtable}
+#' @export
+ss_huxtable <- function(sstable,...){
+  UseMethod('ss_huxtable')
+}
+
+#' @rdname ss_huxtable
+#' @param add_footer additional footer lines to be appended to object footers
+#' @export
+ss_huxtable.list <- function(sstable, add_footer = NULL,...){
+  ss_huxtable(sstable$table, footer = c(sstable$footer, add_footer), ...)
+}
+
+#' @rdname ss_huxtable
+#' @export
+ss_huxtable.default <- function(sstable, footer = NULL,
+                        caption = NULL, caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
+                                                        "bottomleft", "bottomcenter", "bottomright"),
+                        bg = c(grey(.95), 'white'), border_width=0.8, border_color = grey(.75), wrap = FALSE,...){
+  requireNamespace('huxtable')
+  if (missing(caption_pos)) caption_pos <- 'bottomcenter' else caption_pos <- match.arg(caption_pos)
+  if (!inherits(sstable, 'formatted_sstable')) sstable <- ss_format(sstable, ..., .guess = TRUE)
+  header <- which(grepl("header", rownames(sstable)))
+  body <- which(grepl("body", rownames(sstable)))
+  section <-  which(grepl("section", rownames(sstable)))
+
+  colnames(sstable) <- NULL
+  sstable <- as.data.frame(sstable, stringsAsFactors = FALSE)
+  col.even <- ncol(sstable) %% 2 == 0
+
+  ## headers pre-processing
+  ss.header <- sstable[header,]
+  names(ss.header) <- colnames(sstable)
+  # browser()
+
+  ss.header2 <-
+    lapply(seq_along(header),
+           function(i){
+             h <- ss.header[i, ]
+             if (col.even) col <- 2:(ncol(sstable)-1)
+             else col <- 2:ncol(sstable)
+             right_fill <- h[[max(col)]] != "" & h[[2]] == ""
+
+             h <- sapply(seq_along(h),
+                         function(j){
+                           if (h[[j]] == "") {
+                             if (j == ncol(sstable) && i>1) return(ss.header[i-1,j])
+                             if (j == 1){
+                               if (i > 1) return(ss.header[i-1,j]) #lag 1 row
+                               return(h[[j]]) #return ""
+                             }
+                             if (right_fill) return(h[[j+1]])
+                             return(h[[j-1]])
+                           }
+                           return(h[[j]])
+                         })
+             return(h)
+           }
+    )
+
+  sstable.headless <- sstable[-header,]
+  colnames(sstable.headless) <- ss.header2[[length(ss.header2)]]
+
+  ## create table
+  ht <- huxtable::as_hux(sstable.headless, add_colnames = TRUE, add_rownames = FALSE)
+
+  ## insert header
+  if (nrow(ss.header)>1){
+    for (i in seq_along(ss.header2)[-length(ss.header2)]){
+      ht <- huxtable::insert_row(ht, ss.header2[[i]])
+    }
+  }
+
+  ## format header
+  # browser()
+
+  # merge cols that have same values
+  for (i in seq_along(ss.header2)){
+    which.start <- 1
+    for (j in seq_along(ss.header2[[i]])){
+      if (j > 1){
+        if (ss.header2[[i]][[j]] != ss.header2[[i]][[j-1]])  which.start <- c(which.start, j)
+      }
+      ht <- huxtable::set_align(ht, i, j, value = 'center')
+    }
+
+    which.start <- sort(unique(c(which.start, ncol(sstable)+1)))
+
+    for (k in seq_along(which.start)){
+      if (k < length(which.start) & which.start[k+1] - which.start[k] > 1){
+        ht <- huxtable::merge_cells(ht, i, which.start[k]:(which.start[k+1]-1))
+      }
+    }
+  }
+  # merge rows that have same values
+  for (i in 1:ncol(sstable)){
+    which.start <- 1
+    for (j in seq_along(ss.header2)){
+      if (j > 1){
+        if (ss.header2[[j]][[i]] != ss.header2[[j-1]][[i]]) which.start <- c(which.start, j)
+      }
+    }
+
+    which.start <- sort(unique(c(which.start, length(ss.header2)+1)))
+
+    for (k in seq_along(which.start)){
+      if (k < length(which.start) & which.start[k+1] - which.start[k] > 1){
+        ht <- huxtable::merge_cells(ht, which.start[k]:(which.start[k+1]-1), i)
+      }
+    }
+  }
+
+  ## format sections
+  for (i in section){
+    ht <- huxtable::set_bold(ht, i, huxtable::everywhere, value = TRUE)
+    ### merging cells that from the left if the whole row is empty
+    if (all(sstable[i, -1] == ''))
+      ht <- huxtable::merge_cells(ht, i, huxtable::everywhere)
+  }
+
+  ## footer
+  for (i in seq_along(footer)){
+    ht <- huxtable::add_footnote(ht, footer[i], border = if (i>1) 0 else border_width)
+  }
+
+  ## caption
+  if (length(caption)){
+    huxtable::caption(ht) <- caption
+    huxtable::caption_pos(ht) <- caption_pos
+  }
+
+  ## format huxtable
+  ht <- huxtable::set_width(ht, 1)
+
+  ht <- ht_theme_markdown(ht, header_rows = header, header_cols = NULL,
+                          border_width = border_width,
+                          border_color = border_color,
+                          bg = bg)
+
+  ## format wrapping
+  huxtable::wrap(ht) <- wrap
+
+  return(ht)
+}
+
+
+#' A stripe theme for huxtable object
+#'
+#' @description This function provides a stripped theme for huxtable object
+#' @param ht an object of class huxtable
+#' @param header_rows a numeric vector that delimits the header zone.
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
+#' @param border_width a number that defines huxtable border width
+#' @param border_color a character string that defines huxtable border color
+#' @return an object of class huxtable
+#' @export
+ht_theme_markdown <- function(ht, header_rows = 1:2, header_cols = NULL,
+                              border_width=0.8, border_color = grey(0.75), bg = c(grey(.95),'white')){
+  huxtable::top_border(ht)[1, ] <- border_width
+  huxtable::bottom_border(ht)[nrow(ht),] <- border_width
+
+  for (header_row in header_rows){
+    huxtable::bold(ht)[header_row, ] <- TRUE
+  }
+
+  huxtable::bottom_border(ht)[max(header_rows), ] <- border_width
+  huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width
+
+  for (header_col in header_cols){
+    huxtable::bold(ht)[, header_col] <- TRUE
+  }
+  ht <- huxtable::set_all_border_colors(ht, border_color)
+  if (length(bg > 1)) ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, as.list(bg)))
+  else huxtable::background_color(ht) <- bg
+  ht
+}
+
+#' A kable-esque theme for huxtable object
+#'
+#' @description This function provides a kable-esque theme for huxtable object
+#' @param ht an object of class huxtable
+#' @param header_rows a numeric vector that delimits the header zone.
+#' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
+#' @param border_width a number that defines huxtable border width
+#' @param border_color a character string that defines huxtable border color
+#' @return an object of class huxtable
+#' @export
+ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
+                           border_width = 1, border_color = '#dddddd', bg = c('white', '#f9f9f9')){
+  huxtable::top_border(ht)[1, ] <- 0
+  huxtable::bottom_border(ht)[nrow(ht),] <- border_width
+
+  for (header_row in header_rows){
+    huxtable::bold(ht)[header_row, ] <- TRUE
+    for (col in 1:ncol(ht)){
+      if (!is.na(ht[header_row, col]) & stringr::str_trim(ht[header_row, col]) != ''){
+        huxtable::bottom_border(ht)[header_row, col] <- border_width
+      }
+    }
+  }
+  # browser()
+
+  huxtable::bottom_border(ht)[max(header_rows):nrow(ht), ] <- border_width
+  huxtable::top_border(ht)[max(header_rows)+1, ] <- border_width*2
+
+  for (header_col in header_cols){
+    huxtable::bold(ht)[, header_col] <- TRUE
+  }
+
+  ht <- huxtable::set_all_border_colors(ht, border_color)
+  if (length(bg > 1)){
+    ht <- huxtable::map_background_color(ht, do.call(huxtable::by_rows, append(as.list(bg), c(from = max(header_rows)+1))))
+    huxtable::background_color(ht)[header_rows,] <- bg[[1]]
+  } else huxtable::background_color(ht) <- bg
+  ht
+}
+
+#' Coerce an object to sstable
+#' @description A function to coerce objects to a sstable
+#' @param x An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")
+#' @param flextable logical value specifying whether to return a flextable. Default is FALSE
+#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
+#' @param ... additional param passed to \link{ss_flextable}
+#' @return A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
+#' @export
+#'
+as_sstable <- function(x,...){
+  UseMethod('as_sstable')
+}
+
+#' @rdname as_sstable
+#' @export
+as_sstable.default <- function(x, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x$table)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  if (length(attr(x, 'footer'))) out$footer <- attr(x, 'footer')
+
+  class(out) <- c('ss_tbl', 'matrix')
+  if (flextable) ss_flextable(out, ...)
+  return(out)
+}
+
+#' @rdname as_sstable
+#' @export
+as_sstable.list <- function(x, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x$table)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  out$footer <- x$footer
+  class(out$table) <- c('ss_tbl', 'matrix')
+
+  if (flextable){
+    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
+    return(logist_summary.sstable)
+  }
+
+  out
+}
+
+#' @rdname as_sstable
+#' @export
+as_sstable.logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  out$footer <- attr(x, 'footer')
+  class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
+
+  if (flextable){
+    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
+    return(logist_summary.sstable)
+  }
+
+  if (include_footnote) return(out)
+  out$table
+}
+
+#' @rdname as_sstable
+#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
+#' @export
+as_sstable.overlap_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
+  out <- list()
+  out$table <- as.matrix(x)
+  out$table <- rbind(colnames(out$table), out$table)
+  out$table <- cbind(rownames(out$table), out$table)
+  colnames(out$table) <- rownames(out$table) <- NULL
+  out$footer <- attr(x, 'footer')
+  class(out$table) <- c('summary_tbl', 'ss_tbl', 'matrix')
+
+  if (flextable){
+    overlap_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
+    return(overlap_summary.sstable)
+  }
+
+  if (include_footnote) return(out)
+  out$table
+}
+
+#' @rdname as_sstable
+#' @export
+as_sstable.subgroup_logist_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...)
+{
+  tables <- sapply(x, as_sstable, include_footnote = FALSE, ..., simplify = FALSE)
+  footer <- attr(x[[1]], 'footer')
+  first_header <- c('', tables[[1]][1,-1])
+  tables <- lapply(tables, `[`, -1,)
+  headers <- matrix(rep('', length(tables) * ncol(tables[[1]])), ncol = ncol(tables[[1]]))
+  headers[,1] <- paste(attr(x, 'base_var'), '=', names(tables))
+  # browser()
+  table <- do.call(rbind,
+                   lapply(seq_along(tables),
+                          function(i) rbind(headers[i,], tables[[i]])))
+  table <- rbind(first_header, table)
+  sstable <- ss_format(table, header = 1, section = (seq_len(length(tables)) - 1)*(nrow(tables[[1]])+1)+2)
+  if (flextable) return(ss_flextable(sstable, footer = footer))
+  if (include_footnote) return(list(table = sstable, footer = footer))
+  sstable
+}
+
diff --git a/R/sstable.R b/R/sstable.R
new file mode 100644
index 0000000..1bd763f
--- /dev/null
+++ b/R/sstable.R
@@ -0,0 +1,1250 @@
+
+# extract x variables from formula for sstable ----------------------------
+
+getvar <- function(formula) {
+  if (!is.call(formula)) {
+    deparse(formula)
+  } else {
+    if (identical(formula[[1]], quote(`~`)) | identical(formula[[1]], quote(`+`)) | identical(formula[[1]], quote(`|`))) {
+      unlist(lapply(c(formula[[2]], formula[[3]]), getvar))
+    } else {
+      deparse(formula)
+    }
+  }
+}
+
+# extract the sign from quo/formula for sstable - trinhdhk ----------------
+
+getsign <- function(fml){
+  fml <- unclass(fml)[[2]]
+  .getsign = function(x){
+    c(x[[1]],
+      unlist(lapply(x[-1],
+                    function(.x) if(is.call(.x)) .getsign(.x))))
+  }
+
+  out <- .getsign(fml)
+  out[length(out):1]
+}
+
+# extract information from formula for sstable ----------------------------
+
+sstable.formula <- function(formula) {
+  if (length(formula) < 3) {
+    stop("Missing row-wise variable(s) !!!")
+  }
+
+  ## get formula to extract all required variables (formula0)
+  formula0 <- if (identical(formula[[3]], 1)) {
+    as.formula(paste("~", deparse(formula[[2]])))
+  } else {
+    as.formula(paste("~", paste(getvar(formula), collapse = "+")))
+  }
+
+
+  ## get index of each element in formula
+  xlen <- length(all.vars(formula[[2]]))
+  if (xlen == 0) {stop("Missing row-wise variable(s) !!!")}
+
+  if (length(formula[[3]]) > 1) {
+    if (deparse(formula[[3]][[1]]) == "|") {
+      ylen <- ifelse(identical(formula[[3]][[2]], 1), 0, length(all.vars(formula[[3]][[2]])))
+      zlen <- length(all.vars(formula[[3]][[3]]))
+    } else {
+      ylen <- ifelse(identical(formula[[3]], 1), 0, length(all.vars(formula[[3]])))
+      zlen <- 0
+    }
+  } else {
+    ylen <- ifelse(identical(formula[[3]], 1), 0, length(all.vars(formula[[3]])))
+    zlen <- 0
+  }
+
+  if (ylen > 1) {stop("Only 1 column-wise variable is allowed !!!")}
+  if (zlen > 1) {stop("Only 1 third dimension variable is allowed !!!")}
+
+  ## get all formulas required for tabulation
+  xs <- getvar(formula[[2]])
+  formula1 <- sapply(xs, function(x) update.formula(old = formula, new = paste(x, " ~ .")))
+
+  ## output
+  return(list(formula0 = formula0,
+              index = list(x = 1:xlen,
+                           y = if (ylen == 0) 0 else (xlen + 1),
+                           z = if (zlen == 0) 0 else (xlen + 2)),
+              formula1 = formula1))
+}
+
+
+# calculate summary statistics for continuous variable --------------------
+
+#' Calculate summary statistics for continuous variable
+#'
+#' @description A function to calculate summary statistics for continuous variable.
+#'
+#' @param x a numeric vector to be summarised.
+#' @param statistics a character specifies summary statistics for continuous row variables.
+#' @param digits a number specifies number of significant digits for numeric statistics.
+#' @param n a logical value specifies whether output will contain the number of non-missing values.
+#'
+#' @return a string displays formatted summary statistics.
+#' @export
+contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mean.sd"), digits = 1, n = TRUE){
+  if (length(statistics) > 1) statistics <- "med.IQR"
+  loc <- formatC(ifelse(statistics == "mean.sd",
+                        mean(x, na.rm = TRUE),
+                        median(x, na.rm = TRUE)), digits = digits, format = "f")
+  dis <- switch(statistics,
+                mean.sd   = formatC(sd(x, na.rm = TRUE), digits = digits, format = "f"),
+                med.IQR   = paste(
+                  formatC(quantile(x, probs = c(0.25, 0.75), na.rm = TRUE), digits = digits, format = "f"),
+                  collapse = ", "),
+                med.90    = paste(
+                  formatC(quantile(x, probs = c(0.05, 0.95), na.rm = TRUE), digits = digits, format = "f"),
+                  collapse = ", "),
+                med.range = paste(
+                  formatC(quantile(x, probs = c(0.00, 1.00), na.rm = TRUE), digits = digits, format = "f"),
+                  collapse = ", "))
+  if (n == TRUE){
+    output <- paste(loc, " (", dis, ") - ", length(na.omit(x)), sep = "")
+    names(output) <- paste(statistics, "- n")
+  } else {
+    output <- paste(loc, " (", dis, ")", sep = "")
+    names(output) <- statistics
+  }
+  return(output)
+}
+
+# create baseline table ---------------------------------------------------
+
+#' Create baseline table
+#'
+#' @description A function to create a simple summary baseline table.
+#'
+#' @param formula a formula specifies variables for rows, variable for column and third-dimension variable.
+#' @param data a data frame to derive baseline table from.
+#' @param bycol a logical value specifies whether the summary will be by column or by row.
+#' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
+#' @param keepEmptyGroup a logical value specifying whether should keep empty groups
+#' @param statistics a character specifies summary statistics for continuous row variables.
+#' @param continuous a logical vector specifies whether each row variables is continuous or categorical.
+#' @param digits a number specifies number of significant digits for numeric statistics.
+#' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
+#' @param pdigits a number specifies number of significant digits for p value.
+#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param chisq.test a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+#' @param correct a parameter for chisq.test().
+#' @param simulate.p.value a parameter for chisq.test() and fisher.test().
+#' @param B a parameter for chisq.test() and fisher.test().
+#' @param workspace a parameter for fisher.test().
+#' @param hybrid a parameter for fisher.test().
+#' @param footer a vector of strings to be used as footnote of table.
+#' @param flextable a logical value specifies whether output will be a flextable-type table.
+#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#'
+#' @return a flextable-type table or a list with values/headers/footers
+#' @export
+sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
+                             statistics = "med.IQR", continuous = NA, fullfreq = TRUE, digits = 1,
+                             test = FALSE, pdigits = 3, pcutoff = 0.0001,
+                             chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
+                             workspace = 1000000, hybrid = FALSE,
+                             footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
+
+  ## get information from formula
+  info <- sstable.formula(formula)
+
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+
+  ## get data
+  dat <- model.frame(info$formula0, data = data, na.action = NULL)
+  x <- xlabel <- dat[, info$index$x, drop = FALSE]
+  y <- if (info$index$y > 0) dat[, info$index$y] else NULL
+  z <- if (info$index$z > 0) dat[, info$index$z] else NULL
+
+  ## y must be categorical variable
+  if (!is.null(y)) {
+    if (all(!c("character", "factor", "logical") %in% class(y)) |
+        (any(c("numeric", "integer") %in% class(y)) & length(unique(na.omit(y))) > 5)) {
+      stop("Column-wise variable must be categorical !!!")
+    }
+    if (is.factor(y)){
+      if (!keepEmptyGroup) y <- droplevels(y)
+      y <- addNA(y, ifany = TRUE)
+    } else {
+      y <- factor(as.character(y), levels = sort(unique(as.character(y)), na.last = TRUE), exclude = NULL)
+    }
+  } else {
+    y <- factor(rep("Total", nrow(dat)))
+  }
+
+  #browser()
+
+  ## determine type of x (argument: continuous)
+  if (length(continuous) == 1) {
+    continuous <- rep(continuous, ncol(x))
+  } else {
+    if (length(continuous) != ncol(x)) stop("continuous argument must have length 1 or similar length as number of row-wise variables !!!")
+  }
+
+  continuous <- sapply(1:ncol(x), function(i) {
+    out <- ifelse(is.na(continuous[i]),
+                  ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
+                           (any(c("numeric", "integer") %in% class(x[, i])) & length(unique(na.omit(x[, i]))) <= 5), FALSE, TRUE),
+                  continuous[i])
+    return(out)
+  })
+
+
+  for (i in (1:ncol(x))) {
+    if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
+  }
+
+  ## if z exists, x must be categorical
+  if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
+
+  ## if use by-row layout, x must be categorical
+  #browser()
+  if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
+
+  ## determine type of z
+  if (!is.null(z)) {
+    zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
+                            (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
+    # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
+    if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
+  }
+  # browser()
+  ## digits
+  if (length(digits) == 1) {
+    digits <- rep(digits, ncol(x))
+  } else {
+    if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
+  }
+
+  ## if pooledGroup
+  if (pooledGroup) {
+    x <- rbind(x, x)
+    ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
+    y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
+    z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
+  }
+  # else{
+  #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
+  # }
+
+  ## get variable name
+  varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
+
+  ## get summary
+  value <- do.call(rbind,
+                   lapply(1:ncol(x), function(i) {
+                     sstable.baseline.each(varname = varname[i][[1]],
+                                           x = x[, i], y = y, z = z, bycol = bycol,
+                                           pooledGroup = pooledGroup, statistics = statistics,
+                                           continuous = continuous[i], fullfreq = fullfreq, test = test,
+                                           digits = digits[i], pdigits = pdigits, pcutoff = pcutoff,
+                                           chisq.test = chisq.test, correct = correct,
+                                           workspace = workspace, hybrid = hybrid,
+                                           simulate.p.value = simulate.p.value, B = B)
+                   }))
+
+  ## indication of unestimatable values
+  value_dim <- dim(value)
+  value <- apply(value, 2, function(x) ifelse(is.na(x) | x %in% c("NA (NA, NA)", "0/0 (NaN%)"), "-", x))
+  dim(value) <- value_dim
+
+  ## output
+  ### header
+  gr.lev <- levels(y)
+  header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
+  header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
+  if (test) {
+    header1 <- c(header1, "p value")
+    header2 <- c(header2, "")
+  }
+
+  ### footer
+  footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
+  #### summary statistics
+  if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
+    footer.con <- paste0(switch(statistics,
+                                med.IQR = "median (IQR)",
+                                med.90  = "median (90% range)",
+                                med.range = "median (range)",
+                                mean.sd = "mean (sd)"),
+                         " for continuous variable(s).")
+  }
+  if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
+    footer.cat <- paste0("absolute count (%) for categorical variable(s)")
+  }
+  footer1.after <- if (is.null(footer.con)) {
+    paste0(footer.cat, ".")
+  } else {
+    if (is.null(footer.cat)) {
+      footer.con
+    } else {
+      paste0(footer.cat, " and ", footer.con)
+    }
+  }
+  footer1 <- paste("Summary statistic is", footer1.after)
+
+  #### test
+  if (test) {
+    footer2.cat <- paste(ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), "for categorical variable(s)")
+    footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
+    footer2.after <- if (is.null(footer.con)) {
+      paste0(footer2.cat, ".")
+    } else {
+      if (is.null(footer.cat)) {
+        footer2.con
+      } else {
+        paste0(footer2.cat, " and ", footer2.con)
+      }
+    }
+    footer2 <- paste("p-values were based on", footer2.after)
+  }
+
+  footer <- c("N is number of all patients, n is number of patients with non-missing value.",
+              footer1,
+              if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
+              footer2,
+              footer)
+
+  ### flextable
+  if (flextable) {
+    requireNamespace("flextable")
+    requireNamespace("officer")
+
+    ## main table
+    tab <- flextable::flextable(as.data.frame(value))
+
+    ## header
+    header1[1] <- header2[1]
+    header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
+    if (test) header2[length(header1)] <- header1[length(header1)]
+    assign("tab",
+           eval(parse(text = paste0("flextable::set_header_labels(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
+                                    ")"))))
+    assign("tab",
+           eval(parse(text = paste0("flextable::add_header(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
+                                    ", top = FALSE)"))))
+
+    tab <- flextable::merge_h(tab, part = "header")
+    tab <- flextable::merge_v(tab, part = "header")
+
+    ## footer
+    for (k in (1:length(footer))) {
+      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
+      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
+    }
+
+    ## format
+    ### width
+    tab <- flextable::autofit(tab)
+    ### alignment
+    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
+    ### faces of header
+    tab <- flextable::bold(tab, part = "header")
+    ### background
+    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
+    ### border
+    tabbd <- officer::fp_border(color="black", width = 1.5)
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+
+  } else {
+    tab <- list(table = rbind(header1, header2, value),
+                footer = footer)
+    class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
+  }
+  ## output
+  return(tab)
+}
+
+sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup = FALSE,
+                                  statistics = "med.IQR", continuous = NA, fullfreq = TRUE, test = FALSE,
+                                  digits = 1, pdigits = pdigits, pcutoff = 0.0001, chisq.test = FALSE, correct = FALSE, workspace = 1000000,
+                                  hybrid = FALSE, simulate.p.value = FALSE, B = 2000) {
+
+  ## functions
+  mycont.summary <- function(x, y, z) {
+    ngroup <- length(levels(y))
+
+    if (is.null(z)) {
+      summarystat.nice <- by(unclass(x), y, contSummary, statistics = statistics, digits = digits, n = FALSE)
+      #n <- c(by(x, y, function(x) length(na.omit(x))))
+      n <- table(y[!is.na(x)])
+
+      result <- matrix("", ncol = ngroup * 2 + 1, nrow = 1)
+      result[1, seq(2, ncol(result), by = 2)] <- n
+      result[1, seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
+
+    } else {
+      summarystat.nice <- by(unclass(z), list(x, y), contSummary, statistics = statistics, digits = digits, n = FALSE)
+      n <- table(x, y)
+      result <- matrix("", ncol = ngroup * 2 + 1, nrow = length(levels(x)) + 1)
+      result[1, seq(2, ncol(result), by = 2)] <- apply(n, 2, sum)
+      result[2:nrow(result), seq(2, ncol(result), by = 2)] <- n
+      result[2:nrow(result), 1] <- paste0("- ", levels(x), " (n = ", apply(n, 1, sum), ")")
+      result[2:nrow(result), seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
+    }
+
+    if (test == TRUE & ngroup > 1) {
+      # overall Kruskal-Wallis test for group differences
+      if (is.null(z)) {
+        m <- 1:(length(x) * (1 - 0.5 * as.numeric(pooledGroup)))
+        pval <- tryCatch(format.pval(kruskal.test(x = x[m], g = y[m])$p.value,
+                                     eps = pcutoff, digits = pdigits, scientific = FALSE),
+                         error = function(c) NA)
+        result <- cbind(result, pval)
+      } else {
+        pval <- sapply(1:length(levels(x)), function(i) {
+          q <- which(x == levels(x)[i])
+          if (length(q) == 0) {
+            out <- NA
+          } else {
+            m <- q[q %in% 1:(length(z) * (1 - 0.5 * as.numeric(pooledGroup)))]
+            out <- tryCatch(format.pval(kruskal.test(x = z[m], g = y[m])$p.value,
+                                        eps = pcutoff, digits = pdigits, scientific = FALSE),
+                            error = function(c) NA)
+          }
+          return(out)
+        })
+        result <- cbind(result, c("", pval))
+      }
+
+    }
+    return(result)
+  }
+
+  mycat.summary <- function(x, y, z, fullfreq = fullfreq) {
+    ngroup <- length(levels(y))
+    result <- matrix("", ncol = ngroup * 2 + 1, nrow = length(levels(x)) + 1)
+
+    if (is.null(z)) {
+      ta <- table(x, y)
+      n <- if (bycol) {
+        apply(ta, 2, sum)
+      } else {
+        if (pooledGroup) {apply(ta[, -ncol(ta)], 1, sum)} else {apply(ta, 1, sum)}
+      }
+      ta.prop <- if (bycol) {
+        unclass(ta/rep(n, each = length(levels(x))))
+      } else {
+        unclass(ta/rep(n, ngroup))
+      }
+
+      ta.nice <- matrix(paste0(" (", formatC(100 * unclass(ta.prop), digits, format = "f"), "%)"),
+                        nrow = nrow(ta), ncol = ncol(ta))
+      result[2:nrow(result), 1] <- paste0("- ", levels(x))
+      if (bycol) {
+        #browser()
+        result[1, seq(2, ncol(result), by = 2)] <- n
+        if (fullfreq) {
+          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, "/", rep(apply(ta, 2, sum), each = length(levels(x))), ta.nice)
+        } else {
+          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, ta.nice)
+        }
+
+      } else {
+        result[2:nrow(result), 1] <- paste0(result[2:nrow(result), 1], " (n=", n, ")")
+        if (fullfreq) {
+          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, "/", rep(n, ngroup), ta.nice)
+        } else {
+          result[2:nrow(result), seq(3, ncol(result), by = 2)] <- paste0(ta, ta.nice)
+        }
+
+      }
+    } else {
+      tn <- table(x, y)
+      tn2 <- if (pooledGroup) {tn[, -ncol(tn)]} else {tn}
+      ta.nice <- matrix(by(z, list(x, y), function(z) {
+        ta <- sum(z == TRUE, na.rm = TRUE)
+        n <- length(na.omit(z))
+        if (fullfreq) {
+          output <- paste0(ta, "/", n, " (", formatC(100 * (ta/n), digits, format = "f"), "%)")
+        } else {
+          output <- paste0(ta, " (", formatC(100 * (ta/n), digits, format = "f"), "%)")
+        }
+        return(output)
+      }), ncol = ngroup)
+      result[2:nrow(result), 1] <- paste0("- ", levels(x), " (n=", apply(tn2, 1, sum), ")")
+      result[2:nrow(result), seq(3, ncol(result), by = 2)] <- ta.nice
+      result[1, seq(2, ncol(result), by = 2)] <- apply(tn, 2, sum)
+      result[2:nrow(result), seq(2, ncol(result), by = 2)] <- tn
+    }
+
+    if (test == TRUE & ngroup > 1) {
+      if (is.null(z)) {
+        m <- 1:(length(x) * (1 - 0.5 * as.numeric(pooledGroup)))
+        pval <- if (chisq.test) {
+          tryCatch(format.pval(chisq.test(x = x[m], y = y[m], correct = correct,
+                                          simulate.p.value = simulate.p.value, B = B)$p.value,
+                               eps = pcutoff, digits = pdigits, scientific = FALSE),
+                   error = function(c) NA)
+        } else {
+          tryCatch(format.pval(fisher.test(x = x[m], y = y[m], workspace = workspace, hybrid = hybrid,
+                                           simulate.p.value = simulate.p.value, B = B)$p.value,
+                               eps = pcutoff, digits = pdigits, scientific = FALSE),
+                   error = function(c) NA)
+        }
+        result <- cbind(result, "")
+        result[1,ngroup * 2 + 2] <- pval
+      } else {
+        pval <- sapply(1:length(levels(x)), function(i) {
+          q <- which(x == levels(x)[i])
+          if (length(q) == 0) {
+            out <- NA
+          } else {
+            m <- q[q %in% 1:(length(z) * (1 - 0.5 * as.numeric(pooledGroup)))]
+            out <- if (chisq.test) {
+              tryCatch(format.pval(chisq.test(x = z[m], y = y[m], correct = correct,
+                                              simulate.p.value = simulate.p.value, B = B)$p.value,
+                                   eps = pcutoff, digits = pdigits, scientific = FALSE),
+                       error = function(c) NA)
+            } else {
+              tryCatch(format.pval(fisher.test(x = z[m], y = y[m], workspace = workspace, hybrid = hybrid,
+                                               simulate.p.value = simulate.p.value, B = B)$p.value,
+                                   eps = pcutoff, digits = pdigits, scientific = FALSE),
+                       error = function(c) NA)
+            }
+          }
+          return(out)
+        })
+        result <- cbind(result, c("", pval))
+      }
+    }
+    result
+  }
+
+  if (is.null(z)) {
+    out <- if (continuous) {
+      mycont.summary(x = x, y = y, z = NULL)
+    } else {
+      mycat.summary(x = x, y = y, z = NULL, fullfreq = fullfreq)
+    }
+  } else {
+    out <- if (is.factor(z)) {
+      mycat.summary(x = x, y = y, z = z, fullfreq = fullfreq)
+    } else {
+      mycont.summary(x = x, y = y, z = z)
+    }
+  }
+
+  out[1, 1] <- varname
+  return(out)
+}
+
+# create adverse event table ---------------------------------------------------
+
+#' Create an adverse event summary table
+#'
+#' @description A function to create a simple adverse event summary table.
+#'
+#' @param ae_data a data frame contains adverse event data.
+#' @param fullid_data a data frame contains treatment arm data of all participants (not just those had adverse event).
+#' @param group_data a reference data frame contains the group name of each ae.
+#' @param id.var a character specifies name of study id variable (exists in both adverse event data and treatment arm data).
+#' @param aetype.var a character specifies name of adverse event type variable (exists in adverse event data).
+#' @param grade.var a character specifies name of adverse event grade variable (exists in adverse event data).
+#' @param group.var a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).
+#' @param arm.var a character specifies name of treatment arm variable (exists in treatment arm data).
+#' @param sort.by
+#' An unquoted formula of sorting options.
+#'
+#' Available options are `ep`, `pt`, `p`, or a combination of them (eg ep+pt-p);
+#' A minus sign indicates a descending order.
+#' @param digits a number specifies number of significant digits for numeric statistics.
+#' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
+#' @param pdigits a number specifies number of significant digits for p value.
+#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param chisq.test
+#' a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+#'
+#' Be aware that even when chisq.test==TRUE, if expected values are < 1, the later test will take over.
+#' @param correct a parameter for chisq.test().
+#' @param simulate.p.value a parameter for chisq.test() and fisher.test().
+#' @param B a parameter for chisq.test() and fisher.test().
+#' @param workspace a parameter for fisher.test().
+#' @param hybrid a parameter for fisher.test().
+#' @param footer a vector of strings to be used as footnote of table.
+#' @param flextable a logical value specifies whether output will be a flextable-type table.
+#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#'
+#' @return a flextable-type table or a list with values/headers/footers
+#' @import dplyr
+#' @import tidyr
+#' @export
+sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
+                       group.var = NULL, arm.var, sort.by, digits = 0,
+                       test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
+                       simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
+                       footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
+  requireNamespace("dplyr")
+  requireNamespace("tidyr")
+
+  ## check variable's name
+  tmp <- match.call()
+  if (!id.var %in% names(ae_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+  if (!id.var %in% names(fullid_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
+  if (!aetype.var %in% names(ae_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+  if (!is.null(grade.var)) {
+    if (!grade.var %in% names(ae_data)){stop(paste(tmp[[7]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+  }
+  if (!is.null(group.var)){
+    if (!is.null(group_data)){
+      if (!group.var %in% names(group_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[4]]), '!!!'))
+      if (!aetype.var %in% names(group_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[4]]), "!!!"))}
+    } else
+      if (!group.var %in% names(ae_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[2]]), '!!!'))
+  }
+  if (!arm.var %in% names(fullid_data)){stop(paste(tmp[[9]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
+  if (!missing(sort.by)){
+    sort.by <- rlang::enquo(sort.by)
+    sort.vars <- all.vars(sort.by)
+    sort.signs <- getsign(sort.by)
+    if (length(sort.signs) < length(sort.vars)) sort.signs <- purrr::prepend(sort.signs, quote(`+`))
+    if (length(setdiff(sort.vars, c('pt','ep','p'))))
+      stop('Sorting can only apply to `pt`, `ep`, and `p`')
+  }
+
+  # strip the tibble class which causes issues - trinhdhk
+  ae_data <- as.data.frame(ae_data)
+  fullid_data <- as.data.frame(fullid_data)
+  group_data <- as.data.frame(group_data)
+  is.grouped <- !missing(group.var)
+
+  ## format study arms
+  idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
+  if (is.factor(idarm$arm)){
+    idarm$arm <- addNA(idarm$arm, ifany = TRUE)
+    arm_lev <-levels(idarm$arm)
+  } else {
+    arm_lev <- sort(unique(as.character(idarm$arm)), na.last = TRUE)
+    idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
+  }
+
+  ## add aetype of "Any selected AE" & format aetype
+  ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
+  ae <- rbind(ae_data, ae_any)
+  # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
+  # browser()
+
+  ## extract grades of ae
+  if (!is.null(grade.var)) {
+    grade <- sort(unique(na.omit(ae_data[, grade.var])))
+    grade2 <- ifelse(grepl(pattern = "grade", ignore.case = TRUE, x = grade), grade, paste("Grade", grade))
+    ae_grade <- do.call(rbind,
+                        lapply(1:length(grade), function(i) {
+                          tmpdat <- ae_data[ae_data[, grade.var] == grade[i], ]
+                          tmpdat[, aetype.var] <- paste("-", grade2[i])
+                          return(tmpdat)
+                        }))
+    ae <- rbind(ae, ae_grade)
+    # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
+  }
+  ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
+  # browser()
+
+  aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
+  aetype_lev <- c("Any selected adverse event",
+                  if (!is.null(grade.var)) paste("-", grade2),
+                  aetype_lev.raw)
+
+  ## add randomized arm to AE
+  ae_arm <- merge(idarm, ae, by = "id", all.y = TRUE) %>%
+    mutate(arm = addNA(factor(as.character(arm), levels = arm_lev, exclude = NULL), ifany = TRUE),
+           aetype = addNA(factor(as.character(aetype), levels = aetype_lev, exclude = NULL), ifany = TRUE))
+
+  ## calculate episodes and patients
+  ae_count <- ae_arm %>%
+    group_by(aetype, arm) %>%
+    summarise(n_episode = n(),
+              n_patient = length(unique(id))) %>%
+    ungroup() %>%
+    complete(aetype, arm)
+  if (!is.factor(ae_count$aetype)) {ae_count$aetype <- factor(ae_count$aetype, levels = levels(ae_arm$aetype))}
+  if (!is.factor(ae_count$arm)) {ae_count$arm <- factor(ae_count$arm, levels = levels(ae_arm$arm))}
+
+  episode_n <- unlist(spread(select(as.data.frame(ae_count), -n_patient), key = arm, value = n_episode)[, -1])
+  episode_n[is.na(episode_n)] <- 0
+  patient_n <- unlist(spread(select(ae_count, -n_episode), key = arm, value = n_patient)[, -1])
+  patient_n[is.na(patient_n)] <- 0
+  patient_N <- rep(table(idarm$arm), each = nlevels(ae_arm$aetype))
+  patient_p <- patient_n/patient_N
+
+  ## table
+  #browser()
+  value <- matrix(ncol = nlevels(ae_arm$arm)*3, nrow = nlevels(ae_arm$aetype))
+  value[, seq(from = 1, to = nlevels(ae_arm$arm)*2, by = 2)] <- episode_n
+  value[, seq(from = 2, to = nlevels(ae_arm$arm)*2, by = 2)] <- paste0(patient_n, "/", patient_N,
+                                                             " (", formatC(100 * patient_p, digits, format = "f"), "%)")
+  ## add raw values to 2 dummy columns for sorting purpose
+  value[, (nlevels(ae_arm$arm)*2 + 1):(nlevels(ae_arm$arm)*3)] <- patient_n
+  ae_value <- cbind(aename = levels(ae_arm$aetype), value)
+
+  ## get the aehead -trinhdhk
+  ae_value.head <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% filter(!aename %in% aetype_lev.raw)
+
+  ## categorizing ae into groups
+  ## author: trinhdhk
+  if (!is.null(group.var)) {
+    if (is.null(group_data)) {
+      group_data <- unique(ae_data[,c(aetype.var, group.var)])
+    }
+    group_data[[group.var]] <- replace_na(group_data[[group.var]], 'Uncategorised')
+    if (!is.factor(group_data[, group.var])) group_data[, group.var] <- as.factor(group_data[, group.var])
+    group_data <- group_data[, c(aetype.var, group.var)]
+    group_data[,aetype.var] <- as.character(group_data[,aetype.var])
+    names(group_data) <- c(aetype.var, '.tmp.group')
+  # } else {
+  #   ## - create a fake grouping
+  #   group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
+  #   names(group_data) <- c(aetype.var, '.tmp.group')
+  # }
+
+  # browser()
+
+    ### bind group back to summary table -trinhdhk
+    ae_value.headless <-
+      as.data.frame(ae_value, stringsAsFactors = FALSE) %>%
+      filter(aename %in% aetype_lev.raw) %>%
+      rename({{aetype.var}} := aename) %>%
+      right_join(group_data, by = aetype.var) %>%
+      group_by(.tmp.group) %>%
+      group_modify(~ rbind(c(as.character(.y$.tmp.group),
+                             unlist(lapply(seq_along(arm_lev),
+                                           function(i){
+                                             return(c(
+                                               sum(as.numeric(unlist(.x[, 2*i]))),
+                                               ''))
+                                             # paste(sum(as.numeric(unlist(.x[, length(arm_lev)*2+i+1])))))
+                                           })),
+                             rep('',ncol(ae_value)-1-2*length(arm_lev))
+      ),.x))
+    # browser()
+
+    grouptitle_index <- ae_value.headless %>% group_rows() %>% sapply(., function(x) head(x, 1))
+
+    ae_value.headless <-
+      ae_value.headless %>%
+      ungroup %>%
+      select(-.tmp.group)
+
+    #adjust the row number of group title by combining with the head
+    grouptitle_index <- grouptitle_index + nrow(ae_value.head)
+    ae_value <-
+      ae_value.head %>%
+      `names<-`(names(ae_value.headless)) %>%
+      rbind(ae_value.headless)
+  } else ae_value <- as.data.frame(ae_value, stringsAsFactors = FALSE) %>% rename({{aetype.var}} := aename)
+  # browser()
+
+  ## test
+  if (test) {
+    ## <trinhdhk:
+    ## - requested by Ronald, add the ability to override the chisq.test with fisher.test when the expected var is <1.
+    ## - this should work even when chisq.test == T
+    ## >
+
+    do_fisher <- function(mat, workspace = workspace, hybrid = hybrid,
+                          simulate.p.value = simulate.p.value, B = B){
+      tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
+                                       simulate.p.value = simulate.p.value, B = B)$p.value,
+                           eps = pcutoff, digits = pdigits, scientific = FALSE),
+               error = function(e) NA)
+    }
+
+    do_chisq <- function(mat, correct = correct,
+                         simulate.p.value = simulate.p.value, B = B,
+                         workspace = workspace, hybrid = hybrid){
+      chi.out <- tryCatch(suppressWarnings(chisq.test(x = mat, correct = correct,
+                                     simulate.p.value = simulate.p.value, B = B)),
+                          error = function(e) NA)
+      if (length(chi.out) == 1) # that implicits the NA value, so no more NA check here
+        return(chi.out)
+
+      if (any(chi.out$expected<1))
+        return(do_fisher(mat=mat, workspace = workspace, hybrid = hybrid,
+                         simulate.p.value = simulate.p.value, B = B))
+      #else
+      return(format.pval(chi.out$p.value,eps = pcutoff, digits = pdigits, scientific = FALSE))
+    }
+
+    pval <- sapply(1:nrow(value), function(i) {
+      idx <- seq(from = i, to = length(patient_n), by = nrow(value))
+      mat <- matrix(c(patient_n[idx], patient_N[idx] - patient_n[idx]), nrow = 2, byrow = TRUE)
+      out <- if (chisq.test) {
+        # tryCatch(format.pval(chisq.test(x = mat, correct = correct,
+        #                                 simulate.p.value = simulate.p.value, B = B)$p.value,
+        #                      eps = pcutoff, digits = pdigits, scientific = FALSE),
+        #          error = function(c) NA)
+        do_chisq(mat, correct = correct,
+                 simulate.p.value = simulate.p.value, B = B,
+                 workspace = workspace, hybrid = hybrid)
+      } else {
+        # tryCatch(format.pval(fisher.test(x = mat, workspace = workspace, hybrid = hybrid,
+        #                                  simulate.p.value = simulate.p.value, B = B)$p.value,
+        #                      eps = pcutoff, digits = pdigits, scientific = FALSE),
+        #          error = function(c) NA)
+        do_fisher(mat, workspace = workspace, hybrid = hybrid,
+                  simulate.p.value = simulate.p.value, B = B)
+      }
+      return(out)
+    })
+    pval[is.na(pval)] <- "-"
+
+    ## add grouping row - trinhdhk
+    # browser()
+      ae_value <-
+        left_join(
+          ae_value,
+          cbind(aetype=aetype_lev, pval) %>%
+            as.data.frame(stringsAsFactors = FALSE) %>%
+            rename({{aetype.var}} := aetype),
+          by = aetype.var
+        ) %>%
+        mutate(pval = replace_na(pval, ''))
+  }
+
+  # browser()
+
+  ## sorting - trinhdhk
+  if (!missing(sort.by)){
+    ## - the head will not be sorted.
+    split.parts <- c(1, if(is.null(group.var)) (nrow(ae_value.head)+1) else grouptitle_index)
+    col.name <- arrange(mutate(expand.grid(c('ep', 'n.pt'), 1:nlevels(ae_arm$arm)), out = paste(Var1, Var2, sep='.')), Var2)$out
+    dummy.col.name <- paste('pt', 1:nlevels(ae_arm$arm), sep='.')
+    colnames(ae_value) <- c('aetype', col.name, dummy.col.name, if (test) 'p')
+    ae_value <-
+      mutate_at(as.data.frame(ae_value, stringsAsFactors = FALSE),
+                vars(matches('(^pt.\\d)|(^ep.\\d)'), dummy.col.name), as.numeric) %>%
+      mutate(
+        pt.all = by(select(., starts_with('pt.')), 1:nrow(.), sum),
+        ep.all = by(select(., starts_with('ep.')), 1:nrow(.), sum)
+      )
+
+    ae_value.group <- lapply(seq_along(split.parts),
+                             function(i){
+                               return(ae_value[split.parts[i]:(c(split.parts, nrow(ae_value) + 1)[i+1]-1),])
+                             })
+    ## - remove the head
+    ae_value.head <- ae_value.group[[1]]
+    ae_value.group.headless <- ae_value.group[-1]
+
+    ## - convert the sign and var into arrange-friendly quosures.
+
+    arrange.params <- rlang::as_quosures(
+      unlist(lapply(seq_along(sort.vars),
+                    function(i){
+                      sort.var <- sort.vars[[i]]
+                      sort.sign <- sort.signs[[i]]
+                      if (identical(sort.sign, quote(`+`)))
+                        lapply(paste0('~', sort.var, if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev)))), env = parent.frame(), as.formula)
+                      else
+                        lapply(paste0('~desc(', sort.var,if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev))), ')'), env = parent.frame(), as.formula)
+                    })
+      ))
+
+
+    ae_value.sorted <- do.call(rbind,
+                               lapply(ae_value.group.headless,
+                                      function(grouped_ae){
+                                        if (is.grouped){
+                                          rbind(
+                                            grouped_ae[1, ],
+                                            do.call(arrange, rlang::flatten(list(
+                                              .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE)[-1, ],
+                                              unlist(arrange.params))))
+                                          )
+                                        } else {
+                                          do.call(arrange, rlang::flatten(list(
+                                            .data=as.data.frame(grouped_ae, stringsAsFactors = FALSE),
+                                            unlist(arrange.params))))
+                                        }
+                                      }))
+    ## - bind the head again
+    ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '') %>% select(-pt.all, -ep.all)
+
+    # browser()
+  }
+
+  ## remove the dummy col -trinhdhk
+  ae_value <- ae_value[,-(nlevels(ae_arm$arm)*2 + 2):-(nlevels(ae_arm$arm)*3+1)]
+  ae_value <- as.matrix(ae_value) #convert back to matrix to avoid conflicts
+  colnames(ae_value) <- NULL
+  ## output
+  ### header
+  gr.lev <- levels(ae_arm$arm)
+  header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(idarm$arm), ")", sep = ""))))
+  header2 <- c("Type of adverse event", rep(c("n episode", "n patient"), length(gr.lev)))
+  if (test) {
+    header1 <- c(header1, "p value")
+    header2 <- c(header2, "")
+  }
+
+  ### footer
+  footer <- c("n episode refer to the number of adverse events in each study arm.",
+              "n patient refer to the number of patients with at least one event in each study arm.",
+              if (any(value == "-")) "- : value cannot be estimated." else NULL,
+              if (test) {paste("p-values were based on",
+                               ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test if applicable and Fisher's exact test otherwise "),
+                               "comparing n patient between study arms for each type of adverse event.")} else NULL,
+              footer)
+
+  ### flextable
+  if (flextable) {
+    requireNamespace("flextable")
+    requireNamespace("officer")
+
+    ## main table
+    colnames(ae_value) <- rep("", ncol(ae_value))
+    tab <- flextable::flextable(as.data.frame(ae_value))
+
+    ## header
+    header1[1] <- header2[1]
+    header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
+
+    if (test) header2[length(header1)] <- header1[length(header1)]
+
+    assign("tab",
+           eval(parse(text = paste0("flextable::set_header_labels(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
+                                    ")"))))
+    assign("tab",
+           eval(parse(text = paste0("flextable::add_header(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
+                                    ", top = FALSE)"))))
+
+    tab <- flextable::merge_h(tab, part = "header")
+    tab <- flextable::merge_v(tab, part = "header")
+
+    ## footer
+    for (k in (1:length(footer))) {
+      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
+      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
+    }
+
+    ## format
+    ### width
+    tab <- flextable::autofit(tab)
+    ### alignment
+    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
+    ### faces of header
+    tab <- flextable::bold(tab, part = "header")
+    ### background
+    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
+    ### border
+    tabbd <- officer::fp_border(color="black", width = 1.5)
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+    ### group-name rows-trinhdhk
+    if (is.grouped) tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
+
+  } else {
+    tab <- list(table = rbind(header1, header2, ae_value),
+                footer = footer)
+    class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
+  }
+  return(tab)
+}
+
+# create survival comparison table ----------------------------------------
+
+#' Summarize results for a Cox survival model with the treatment arm as the main covariate
+#'
+#' @description A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate
+#'
+#' @param model a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
+#' @param data a data frame to fir the Cox survival model.
+#' @param add.risk a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
+#' @param add.prop.haz.test a logical value specifies whether a test for proportional hazards should be added.
+#' @param medsum a logical value specifies whether median (IQR) of time to event should be described.
+#' @param digits a number specifies number of significant digits for numeric statistics.
+#' @param pdigits a number specifies number of significant digits for p value.
+#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param footer a vector of strings to be used as footnote of table.
+#' @param flextable a logical value specifies whether output will be a flextable-type table.
+#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#'
+#' @return a flextable-type table or a list with values/headers/footers
+#'
+#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+#' @import survival
+#' @export
+sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = TRUE, medsum = TRUE,
+                             digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
+  requireNamespace("survival")
+
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+
+  arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
+  arm.names <- levels(data[, arm.var])
+
+  # Table header
+  header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
+  header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), "HR (95%CI); p-value")
+  header <- rbind(header1, header2)
+  result <- rbind(header, "")
+
+  ## footer
+  footer <- c("HR = hazard ratio; IQR = interquartile range.", "HR and p value were based on Cox proportional hazards models.", footer)
+
+  # add number of events and risks
+  fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
+  fit.surv <- summary(fit.surv0, time = Inf, extend = TRUE)
+
+  if (length(unique(data[, arm.var])) < length(arm.names)) {
+    tmp <- fit.surv$table
+    dim(tmp) <- c(length(unique(data[, arm.var])), length(tmp))
+    colnames(tmp) <- names(fit.surv$table)
+  } else {
+    tmp <- fit.surv$table
+  }
+  events.n <- paste(tmp[, "events"], tmp[, "n.max"], sep = "/")
+  if (add.risk) events.n <- paste(events.n, " (", formatC(100*(1 - fit.surv$surv), digits, format = "f"), ")", sep="")
+  idx <- which(arm.names %in% unique(data[, arm.var]))
+  result[3, 1:length(arm.names)] <- rep("-", length(arm.names))
+  result[3, idx] <- events.n
+  #browser()
+  if (length(events.n) < length(arm.names)) {
+    result[3, length(arm.names) + 1] <- "-"
+    if (add.prop.haz.test){result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))}
+  } else {
+    # add HR, CI, p-value
+    fit.coxph <- survival::coxph(model, data)
+    est <- coef(fit.coxph)
+    hr <- formatC(exp(est), digits, format = "f")
+    result[3, length(arm.names) + 1] <- if (is.na(coef(fit.coxph))) {
+      "-"
+    } else {
+      se <- sqrt(fit.coxph$var)
+      z <- abs(est/se)
+      pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
+      ci <- paste(formatC(exp(c(est - qnorm(0.975) * se, est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
+      hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
+      result[3, length(arm.names) + 1] <- hr.ci.p
+    }
+
+    # add test for proportional hazards
+    if (add.prop.haz.test){
+      if (is.na(est)) {
+        result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))
+      } else {
+        attr(model, ".Environment") <- environment() # needed for cox.zph to work
+        p.prop.haz <- survival::cox.zph(survival::coxph(model, data))$table[1, "p"]
+        if (is.na(p.prop.haz)) {
+          p.prop.haz <- "-"
+        } else {
+          p.prop.haz <- format.pval(p.prop.haz, eps = pcutoff, digits = pdigits)
+        }
+        result <- cbind(result, c("Test for proportional hazards", "p-value", p.prop.haz))
+      }
+    }
+  }
+  rownames(result) <- NULL
+
+  # add label
+  #browser()
+  varname <- all.vars(model)[2:1]
+  varlabel <- sapply(varname, function(x){
+    ifelse(is.null(attr(data[, x], "label")), x, attr(data[, x], "label"))
+  })
+  # output
+  output <- if (medsum) {
+    result <- rbind(result, "", "", "", "")
+    # add median (IQR) of time-to-event
+    qfit <- as.matrix(do.call(cbind, quantile(fit.surv0, probs = c(0.5, 0.25, 0.75))))
+    result[5:7, 1:length(arm.names)] <- apply(formatC(qfit, digits, format = "f"), 1, function(x){
+      sapply(1:3, function(z) paste(x[z], " (", x[z + 3], ", ", x[z + 6], ")", sep = ""))
+    })
+    cbind(c("Endpoint", "", varlabel, "- Median (95%CI)", "- Lower IQR (95%CI)", "- Upper IQR (95%CI)"), result)
+  } else {
+    output <- cbind(c("Endpoint", "", varlabel[1]), result)
+  }
+  rownames(output) <- NULL
+  value <- output[-c(1:2), , drop = FALSE]
+  #browser()
+  ## flextable
+  if (flextable) {
+    requireNamespace("flextable")
+    requireNamespace("officer")
+
+    ## main table
+    tab <- flextable::flextable(as.data.frame(value))
+
+    ## header
+    header1 <- output[1, ]; header2 <- output[2, ]
+    header2[1] <- header1[1]
+    assign("tab",
+           eval(parse(text = paste0("flextable::set_header_labels(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
+                                    ")"))))
+    assign("tab",
+           eval(parse(text = paste0("flextable::add_header(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
+                                    ", top = FALSE)"))))
+
+    tab <- flextable::merge_v(tab, part = "header")
+
+    if (any(value == "-")) footer <- c(footer, "- : value cannot be estimated.")
+
+    for (k in (1:length(footer))) {
+      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
+      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
+    }
+
+    ## format
+    ### width
+    tab <- flextable::autofit(tab)
+    ### alignment
+    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
+    ### faces of header
+    tab <- flextable::bold(tab, part = "header")
+    ### background
+    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
+    ### border
+    tabbd <- officer::fp_border(color="black", width = 1.5)
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+
+  } else {
+    tab <- list(table = output,
+                footer = footer)
+    class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
+  }
+  return(tab)
+}
+
+#' Summarize results for a Cox survival model by treatment arm and subgroup
+#'
+#' @description A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.
+#'
+#' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
+#' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
+#' @param data a data frame to fir the Cox survival model.
+#' @param ... arguments that are passed to sstable.survcomp.
+#' @param digits a number specifies number of significant digits for numeric statistics.
+#' @param pdigits a number specifies number of significant digits for p value.
+#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param footer a vector of strings to be used as footnote of table.
+#' @param flextable a logical value specifies whether output will be a flextable-type table.
+#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#'
+#' @return a flextable-type table or a list with values/headers/footers
+#'
+#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+#' @import survival
+#' @export
+sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
+  requireNamespace("survival")
+
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+
+  # result in entire population
+  result <- sstable.survcomp(model = base.model, data = data, medsum = FALSE, digits = digits,
+                             pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
+  result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
+
+  # Preparation of models and data
+  subgroup.char <- all.vars(subgroup.model)
+  #browser()
+  for (k in 1:length(subgroup.char)){
+    main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
+    ia.model <- update(base.model, as.formula(paste(". ~ . + arm *", subgroup.char[k], sep = "")))
+    data$.subgroup.var <- data[, subgroup.char[k]]
+    factor.levels <- levels(data[, subgroup.char[k]])
+
+    # Add interaction test for heterogeneity
+    result <- rbind(result, "")
+    result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
+                                      subgroup.char[k], attr(data[, subgroup.char[k]], "label"))
+    ia.pval <- anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "P(>|Chi|)"]
+    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
+
+    # Add results for each subgroup level
+    for (j in 1:length(factor.levels)){
+      result <- rbind(result, "")
+      result[nrow(result), 1] <- paste("-", factor.levels[j])
+      d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
+      result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup,
+                                                                     medsum = FALSE, digits = digits, pdigits = pdigits, pcutoff = pcutoff,
+                                                                     flextable = FALSE, ...)$table[3,-1]
+    }
+  }
+  ## footer
+  footer <- c("HR = hazard ratio.",
+              "HR and p value were based on Cox proportional hazards models.",
+              "Test for heterogeneity is an interaction test between treatment effect and each subgroup in a Cox proportional hazard model (not include other variables).",
+              footer)
+
+  # flextable
+  if (flextable) {
+    requireNamespace("flextable")
+    requireNamespace("officer")
+
+    ## main table
+    value <- result[-c(1, 2), ]
+    tab <- flextable::flextable(as.data.frame(value))
+
+    ## header
+    header1 <- result[1, ]; header2 <- result[2, ]
+    header2[1] <- header1[1]
+    assign("tab",
+           eval(parse(text = paste0("flextable::set_header_labels(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
+                                    ")"))))
+    assign("tab",
+           eval(parse(text = paste0("flextable::add_header(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
+                                    ", top = FALSE)"))))
+
+    tab <- flextable::merge_v(tab, part = "header")
+
+    ## footer
+    if (any(value == "-")) footer <- c(footer, "- : value cannot be estimated.")
+    for (k in (1:length(footer))) {
+      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
+      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
+    }
+
+    ## format
+    ### width
+    tab <- flextable::autofit(tab)
+    ### alignment
+    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
+    ### faces of header
+    tab <- flextable::bold(tab, part = "header")
+    ### background
+    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(result[-c(1:2), ]), by = 2), j = 1:length(header1), bg = bg, part = "body")
+    ### border
+    tabbd <- officer::fp_border(color="black", width = 1.5)
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+
+  } else {
+    tab <- list(table = result,
+                footer = footer)
+    class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
+  }
+  return(tab)
+}
+
+#' @export
+print.ss_tbl <- function(sstable){
+  class(sstable) <- 'matrix'
+  print(sstable)
+}
diff --git a/R/toolkits.R b/R/toolkits.R
new file mode 100644
index 0000000..b6c256f
--- /dev/null
+++ b/R/toolkits.R
@@ -0,0 +1,194 @@
+#' Do a simple recode via pattern for data
+#'
+#' @description
+#' A function to re-encode data by using a map. Patterns are accepted. Unmentioned data are left intact.
+#'
+#' Method for class data.frame supports a robust replacement for data by providing relevant map in the form of var = map.
+#'
+#' @param x a vector
+#' @param map
+#' A map.
+#'
+#' Map can be a list in the form of recoded_text = c(to_be_recoded_text)
+#'
+#' Or as a data frame having 2 columns named "from" and "to".
+#'
+#' @param as A character string defining the post-recoded data type of x. Default is keeping as-is.
+#' @param ignore.case,perl Parameters passed to gsub().
+#' @param .data A data frame to modify
+#' @param ...
+#' For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
+#'
+#' For default method: Additional parameters passed to factor()
+#'
+#' @param ignore.case Specify whether the pattern is case-insensitive. Default is FALSE (case sensitive)
+#' @param perl Are patterns follow the Perl-style regular expression.
+#' @return A data frame with recoded variables.
+#' @seealso \link{regex} \link{case_when}
+#'
+#' @return
+#' If input is a vector, return a vector of the same length.
+#'
+#' If input is a data frame, return a data frame with relevant variables recoded.
+#'
+#' @export
+simple_recode <- function(...){
+  UseMethod('simple_recode')
+}
+
+#' @rdname simple_recode
+#' @aliases recode_var var_recode
+#' @method simple_recode data.frame
+#' @export
+simple_recode.data.frame <- function(.data, ..., ignore.case = FALSE, fixed = FALSE, perl = TRUE){
+  .maps <- list(...)
+  .vars <- names(.maps)
+  for (.var in .vars){
+    .data[[.var]] <- simple_recode.default(x = .data[[.var]], map = .maps[[.var]], ignore.case = ignore.case, fixed = fixed, perl = perl)
+  }
+  return(.data)
+}
+
+#' @rdname simple_recode
+#' @method simple_recode default
+#' @export
+simple_recode.default <- function(x, map, as = c('as_is', 'numeric', 'factor', 'character', 'logical'), ignore.case = FALSE, fixed = FALSE, perl = TRUE, ...){
+  requireNamespace('tidyr')
+  as <- match.arg(as)
+  if (missing(map)) stop ('A conversion map should be provided!')
+
+  if (is.data.frame(map)) Map <- map
+  else {
+    Map <- data.frame(
+      to = unlist(lapply(names(map),
+                         function(name) rep(name, length(map[[name]])))),
+      from = unlist(map),
+      stringsAsFactors = FALSE
+    )}
+
+  if (length(Map$from) != length(unique(Map$from))) stop('Patterns should be unique.')
+
+  x.recoded <- x
+  for (i in 1:nrow(Map)){
+    if (is.na(Map$from[i])) x.recoded <- tidyr::replace_na(x.recoded, Map$to[i])
+    else x.recoded <- gsub(Map$from[i], Map$to[i], x.recoded, ignore.case = ignore.case, fixed = fixed, perl=perl)
+  }
+
+
+  if (as != 'as_is') {
+    x.recoded <-
+      switch(as,
+             numeric = as.numeric(x.recoded),
+             character = as.character(x.recoded),
+             factor = factor(x.recoded, ...),
+             logical = as.logical(x.recoded))
+  } else {
+    if (is.factor(x)) {
+      tryCatch(if(length(levels(x))==2) x.recoded <- as.logical(x.recoded),
+               error = function(e){
+                 levels.x <- levels(x)
+                 levels.recoded <- simple_recode(levels.x, map=Map)
+                 x.recoded <- factor(x.recoded, levels = levels.recoded)
+               })
+    }
+    if (is.numeric(x)) x.recode <- tryCatch(as.numeric(x.recoded), warning = function(w) x.recoded)
+  }
+  return(x.recoded)
+}
+
+
+`do_to<-` <- function(x, value){
+  match.fun(value)(x)
+}
+
+#' Get or set the reference level
+#' @description A function to quickly get or set the reference level of a factor
+#' @export
+ref_lv <- function(x){
+  UseMethod('ref_lv')
+}
+
+#' @rdname ref_lv
+#' @param x A factor
+#' @return A character object the represents the reference level
+#' @export
+ref_lv.factor <- function(x){
+  levels(x)[[1]]
+}
+
+#' @rdname ref_lv
+#' @export
+`ref_lv<-` <- function(x, value){
+  UseMethod('ref_lv<-')
+}
+
+#' @rdname ref_lv
+#' @param value An existing level to be set as reference
+#' @export
+`ref_lv<-.factor` <- function(x, value){
+  relevel(x, value)
+}
+
+#' Get the proportion for each level or range of a vector
+#' @description A function to calculate the proportion of each value range
+#' @param x An object
+#' @param method
+#' A method to calculate the percentage.
+#' Default is 'auto' which will attempt to choose the most fit method.
+#' 'bin' is only meaningful for vector that only has to values.
+#' 'fct' is meaningful for descrete variable
+#' 'cont' is used for continuous variables. This will break the variable into several ranges
+#' depended on the breaks specified in ...
+#' @param na.rm A logical value deciding whether NA should be removed
+#' @param ... Break points to cut the continuous variables into ranges. These are passed to function cut.
+#' See \link{cut}
+#' @return
+#' If method == 'bin': the percentage of non-reference level
+#'
+#' If method == 'fct': the percentages of all levels
+#'
+#' If method == 'cont': the percentages of all ranges based on specified breaks
+#' @export
+pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
+  method <- match.arg(method)
+  if (method == 'auto') method <- ._pct_get_method(unlist(x))
+
+  if (method == 'bin' & !is.logical(x)){
+    if (length(unique(x)) > 2) stop('Forcing binary method for factor variable is meaningless.')
+    if (length(unique(x)) == 1) return(100)
+    warning('Binary method apply to non logical variable. This will calculate the pct of x != ref_lv')
+    x <- x == levels(as.factor(x))[2]
+  }
+
+  res <- switch(method,
+                bin = ._pct_bin(x, na.rm),
+                cont = ._pct_cont(x, na.rm, ...),
+                fct = ._pct_fct(x, na.rm))
+
+  return(res)
+}
+
+._pct_get_method <- function(x){
+  if (is.logical(x) | length(unique(x)) <= 2) return('bin')
+  if (is.factor(x) | is.character(x) | (is.numeric(x) & length(unique(x)) <= 5)) return('fct')
+  return('cont')
+}
+
+._pct_bin <- function(x, na.rm = TRUE){
+  n <- if (na.rm) sum(!is.na(x)) else length(x)
+  return(sum(x)/n*100)
+}
+
+._pct_fct <- function(x, na.rm = TRUE){
+  n <- if (na.rm) sum(!is.na(x)) else length(x)
+  lvs <- if (na.rm) levels(x) else levels(addNA(x, ifany = TRUE))
+  sapply(lvs,
+         function(lv){
+           sum(x == lv)/n*100
+         })
+}
+
+._pct_cont <- function(x, na.rm = TRUE, ...){
+  x <- cut(x, ...)
+  pct(x, method = 'auto', na.rm = na.rm)
+}
diff --git a/README.Rmd b/README.Rmd
new file mode 100644
index 0000000..53f0540
--- /dev/null
+++ b/README.Rmd
@@ -0,0 +1,31 @@
+---
+output: github_document
+---
+
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+
+```{r, echo = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  fig.path = "README-"
+)
+```
+
+# C306
+
+This package provides a collection of useful R codes for data analysis from the Biostatistics group at OUCRU-HCM.
+
+## Installation
+
+You can install C306 from github with:
+
+```{r gh-installation, eval = FALSE}
+# install.packages("devtools")
+devtools::install_github("lampk/C306")
+```
+
+## Website
+
+Documentation of this package can be found at:
+[http://lampk.github.io/C306/](http://lampk.github.io/C306/)
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..c27583c
--- /dev/null
+++ b/README.md
@@ -0,0 +1,21 @@
+
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+
+# C306
+
+This package provides a collection of useful R codes for data analysis
+from the Biostatistics group at OUCRU-HCM.
+
+## Installation
+
+You can install C306 from github with:
+
+``` r
+# install.packages("devtools")
+devtools::install_github("oucru-biostats/C306")
+```
+
+## Website
+
+Documentation of this package can be found at:
+<http://lampk.github.io/C306/>
diff --git a/docs/articles/data_analysis_pipeline.html b/docs/articles/data_analysis_pipeline.html
new file mode 100644
index 0000000..27859ee
--- /dev/null
+++ b/docs/articles/data_analysis_pipeline.html
@@ -0,0 +1,111 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en">
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+<meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>Data analysis pipeline • C306</title>
+<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha256-916EbMg70RQy9LHiGkXzG8hSg9EdNy97GazNG/aiY1w=" crossorigin="anonymous">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" integrity="sha256-eZrrJcwDc/3uDhsdt61sL2oOBY362qM3lon1gyExkL0=" crossorigin="anonymous">
+<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script><!-- sticky kit --><script src="https://cdnjs.cloudflare.com/ajax/libs/sticky-kit/1.1.3/sticky-kit.min.js" integrity="sha256-c4Rlo1ZozqTPE2RLuvbusY3+SU1pQaJC0TjuhygMipw=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script><meta property="og:title" content="Data analysis pipeline">
+<meta property="og:description" content="">
+<meta name="twitter:card" content="summary">
+<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+</head>
+<body>
+    <div class="container template-article">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">C306</a>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+<li>
+  <a href="../index.html">
+    <span class="fa fa-home fa-lg"></span>
+     
+  </a>
+</li>
+<li>
+  <a href="../reference/index.html">Reference</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+<li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+<ul class="nav navbar-nav navbar-right"></ul>
+</div>
+<!--/.nav-collapse -->
+  </div>
+<!--/.container -->
+</div>
+<!--/.navbar -->
+
+      
+      </header><div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header toc-ignore">
+      <h1>Data analysis pipeline</h1>
+                        <h4 class="author">Lam Phung Khanh</h4>
+            
+            <h4 class="date">2018-11-24</h4>
+      
+      
+      <div class="hidden name"><code>data_analysis_pipeline.Rmd</code></div>
+
+    </div>
+
+    
+    
+<p>This vignette summarise one approach to data analysis pipeline and layouts how functions in this package fit to this pipeline.</p>
+<p><img src="figures/C306.png" style="width:100.0%"></p>
+  </div>
+
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+      </div>
+
+</div>
+
+
+      <footer><div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+</div>
+
+  
+
+  </body>
+</html>
diff --git a/docs/articles/figures/C306.png b/docs/articles/figures/C306.png
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+    <div class="page-header">
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+    </div>
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+    <div class="section ">
+      <h3>All vignettes</h3>
+      <p class="section-desc"></p>
+
+      <ul>
+        <li><a href="data_analysis_pipeline.html">Data analysis pipeline</a></li>
+        <li><a href="sstable.html">Simple Summary Table</a></li>
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diff --git a/docs/articles/sstable.html b/docs/articles/sstable.html
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+        <a class="navbar-link" href="../index.html">C306</a>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
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+
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+    Articles
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+<li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
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+      
+      </header><div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header toc-ignore">
+      <h1>Simple Summary Table</h1>
+                        <h4 class="author">Lam Phung Khanh</h4>
+            
+            <h4 class="date">2018-11-24</h4>
+      
+      
+      <div class="hidden name"><code>sstable.Rmd</code></div>
+
+    </div>
+
+    
+    
+<p>This vignette tries to explain how a formula to supply to function sstable.baseline() can be formulate.</p>
+<div id="basic-types-of-table" class="section level2">
+<h2 class="hasAnchor">
+<a href="#basic-types-of-table" class="anchor"></a>Basic types of table</h2>
+<p>A table can be used to display summary information of one or several variables. A specific table can summarize information of variable(s) X(s) on all subjects, by groups of variable Y, or summarize variable Z by variable X and variable Y. There are different ways these summaries statistics can be derived, depending on the existence and type of variables X, Y and Z. Figure 1 below summarizes 4 basic types of table and how to specify them using the sstable.baseline() function in this package:</p>
+<div class="figure">
+<img src="figures/sstable1.png" alt="Figure 1. Four basic types of table and the corresponding sstable.baseline() syntax and constraint on existence and type of relevant variables" style="width:90.0%"><p class="caption"><em>Figure 1. Four basic types of table and the corresponding sstable.baseline() syntax and constraint on existence and type of relevant variables</em></p>
+</div>
+</div>
+<div id="basic-layouts-of-table" class="section level2">
+<h2 class="hasAnchor">
+<a href="#basic-layouts-of-table" class="anchor"></a>Basic layouts of table</h2>
+<p>Figure 2 displays 4 basic layouts of table corresponding to 4 basic table types mentioned in Figure 1:</p>
+<div class="figure">
+<img src="figures/sstable2.png" alt="Figure 2. Four basic layouts of table" style="width:90.0%"><p class="caption"><em>Figure 2. Four basic layouts of table</em></p>
+</div>
+</div>
+  </div>
+
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+        <div id="tocnav">
+      <h2 class="hasAnchor">
+<a href="#tocnav" class="anchor"></a>Contents</h2>
+      <ul class="nav nav-pills nav-stacked">
+<li><a href="#basic-types-of-table">Basic types of table</a></li>
+      <li><a href="#basic-layouts-of-table">Basic layouts of table</a></li>
+      </ul>
+</div>
+      </div>
+
+</div>
+
+
+      <footer><div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
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+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
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diff --git a/docs/authors.html b/docs/authors.html
new file mode 100644
index 0000000..243bf27
--- /dev/null
+++ b/docs/authors.html
@@ -0,0 +1,139 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
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+<meta http-equiv="X-UA-Compatible" content="IE=edge">
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+        <a class="navbar-link" href="index.html">C306</a>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="index.html">
+    <span class="fa fa-home fa-lg"></span>
+     
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+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
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+    <li>
+      <a href="articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
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+    <div class="page-header">
+      <h1>Authors</h1>
+    </div>
+
+    <ul class="list-unstyled">
+      <li>
+        <p><strong>Lam Phung Khanh</strong>. Maintainer. 
+        </p>
+      </li>
+    </ul>
+
+  </div>
+
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+
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+</div>
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diff --git a/docs/docsearch.css b/docs/docsearch.css
new file mode 100644
index 0000000..e5f1fe1
--- /dev/null
+++ b/docs/docsearch.css
@@ -0,0 +1,148 @@
+/* Docsearch -------------------------------------------------------------- */
+/*
+  Source: https://github.com/algolia/docsearch/
+  License: MIT
+*/
+
+.algolia-autocomplete {
+  display: block;
+  -webkit-box-flex: 1;
+  -ms-flex: 1;
+  flex: 1
+}
+
+.algolia-autocomplete .ds-dropdown-menu {
+  width: 100%;
+  min-width: none;
+  max-width: none;
+  padding: .75rem 0;
+  background-color: #fff;
+  background-clip: padding-box;
+  border: 1px solid rgba(0, 0, 0, .1);
+  box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175);
+}
+
+@media (min-width:768px) {
+  .algolia-autocomplete .ds-dropdown-menu {
+      width: 175%
+  }
+}
+
+.algolia-autocomplete .ds-dropdown-menu::before {
+  display: none
+}
+
+.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] {
+  padding: 0;
+  background-color: rgb(255,255,255);
+  border: 0;
+  max-height: 80vh;
+}
+
+.algolia-autocomplete .ds-dropdown-menu .ds-suggestions {
+  margin-top: 0
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion {
+  padding: 0;
+  overflow: visible
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--category-header {
+  padding: .125rem 1rem;
+  margin-top: 0;
+  font-size: 1.3em;
+  font-weight: 500;
+  color: #00008B;
+  border-bottom: 0
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--wrapper {
+    float: none;
+    padding-top: 0
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column {
+  float: none;
+  width: auto;
+  padding: 0;
+  text-align: left
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--content {
+  float: none;
+  width: auto;
+  padding: 0
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--content::before {
+  display: none
+}
+
+.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header {
+  padding-top: .75rem;
+  margin-top: .75rem;
+  border-top: 1px solid rgba(0, 0, 0, .1)
+}
+
+.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column {
+  display: block;
+  padding: .1rem 1rem;
+  margin-bottom: 0.1;
+  font-size: 1.0em;
+  font-weight: 400
+  /* display: none */
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--title {
+  display: block;
+  padding: .25rem 1rem;
+  margin-bottom: 0;
+  font-size: 0.9em;
+  font-weight: 400
+}
+
+.algolia-autocomplete .algolia-docsearch-suggestion--text {
+  padding: 0 1rem .5rem;
+  margin-top: -.25rem;
+  font-size: 0.8em;
+  font-weight: 400;
+  line-height: 1.25
+}
+
+.algolia-autocomplete .algolia-docsearch-footer {
+  width: 110px;
+  height: 20px;
+  z-index: 3;
+  margin-top: 10.66667px;
+  float: right;
+  font-size: 0;
+  line-height: 0;
+}
+
+.algolia-autocomplete .algolia-docsearch-footer--logo {
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+<meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>Collection of useful R codes for data analysis from the Biostatistics group at OUCRU • C306</title>
+<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha256-916EbMg70RQy9LHiGkXzG8hSg9EdNy97GazNG/aiY1w=" crossorigin="anonymous">
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+<script src="pkgdown.js"></script><meta property="og:title" content="Collection of useful R codes for data analysis from the Biostatistics group at OUCRU">
+<meta property="og:description" content="Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
+    Use four spaces when indenting paragraphs within the Description.">
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+<![endif]-->
+</head>
+<body>
+    <div class="container template-home">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="index.html">C306</a>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+<li>
+  <a href="index.html">
+    <span class="fa fa-home fa-lg"></span>
+     
+  </a>
+</li>
+<li>
+  <a href="reference/index.html">Reference</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+<li>
+      <a href="articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+<ul class="nav navbar-nav navbar-right"></ul>
+</div>
+<!--/.nav-collapse -->
+  </div>
+<!--/.container -->
+</div>
+<!--/.navbar -->
+
+      
+      </header><div class="row">
+  <div class="contents col-md-9">
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+<div id="c306" class="section level1">
+<div class="page-header"><h1 class="hasAnchor">
+<a href="#c306" class="anchor"></a>C306</h1></div>
+<p>This package provides a collection of useful R codes for data analysis from the Biostatistics group at OUCRU-HCM.</p>
+<div id="installation" class="section level2">
+<h2 class="hasAnchor">
+<a href="#installation" class="anchor"></a>Installation</h2>
+<p>You can install C306 from github with:</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="co"># install.packages("devtools")</span></a>
+<a class="sourceLine" id="cb1-2" title="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/install_github">install_github</a></span>(<span class="st">"lampk/C306"</span>)</a></code></pre></div>
+</div>
+<div id="website" class="section level2">
+<h2 class="hasAnchor">
+<a href="#website" class="anchor"></a>Website</h2>
+<p>Documentation of this package can be found at: <a href="http://lampk.github.io/C306/index.html">http://lampk.github.io/C306/index.html</a></p>
+</div>
+</div>
+  </div>
+
+  <div class="col-md-3" id="sidebar">
+    <div class="license">
+<h2>License</h2>
+<ul class="list-unstyled">
+<li>The <a href="https://opensource.org/licenses/mit-license.php">MIT</a> License (<a href="https://opensource.org/licenses/mit-license.php">MIT</a>)</li>
+</ul>
+</div>
+<div class="developers">
+<h2>Developers</h2>
+<ul class="list-unstyled">
+<li>Lam Phung Khanh <br><small class="roles"> Maintainer </small>  </li>
+</ul>
+</div>
+
+  </div>
+</div>
+
+
+      <footer><div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+</div>
+
+  
+
+  </body>
+</html>
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+/* mark.js ----------------------------*/
+
+mark {
+  background-color: rgba(255, 255, 51, 0.5);
+  border-bottom: 2px solid rgba(255, 153, 51, 0.3);
+  padding: 1px;
+}
+
+/* vertical spacing after htmlwidgets */
+.html-widget {
+  margin-bottom: 10px;
+}
diff --git a/docs/pkgdown.js b/docs/pkgdown.js
new file mode 100644
index 0000000..706ad58
--- /dev/null
+++ b/docs/pkgdown.js
@@ -0,0 +1,110 @@
+/* http://gregfranko.com/blog/jquery-best-practices/ */
+(function($) {
+  $(function() {
+
+    $("#sidebar")
+      .stick_in_parent({offset_top: 40})
+      .on('sticky_kit:bottom', function(e) {
+        $(this).parent().css('position', 'static');
+      })
+      .on('sticky_kit:unbottom', function(e) {
+        $(this).parent().css('position', 'relative');
+      });
+
+    $('body').scrollspy({
+      target: '#sidebar',
+      offset: 60
+    });
+
+    $('[data-toggle="tooltip"]').tooltip();
+
+    var cur_path = paths(location.pathname);
+    var links = $("#navbar ul li a");
+    var max_length = -1;
+    var pos = -1;
+    for (var i = 0; i < links.length; i++) {
+      if (links[i].getAttribute("href") === "#")
+        continue;
+      var nav_path = paths(links[i].pathname);
+
+      var length = prefix_length(nav_path, cur_path);
+      if (length > max_length) {
+        max_length = length;
+        pos = i;
+      }
+    }
+
+    // Add class to parent <li>, and enclosing <li> if in dropdown
+    if (pos >= 0) {
+      var menu_anchor = $(links[pos]);
+      menu_anchor.parent().addClass("active");
+      menu_anchor.closest("li.dropdown").addClass("active");
+    }
+  });
+
+  function paths(pathname) {
+    var pieces = pathname.split("/");
+    pieces.shift(); // always starts with /
+
+    var end = pieces[pieces.length - 1];
+    if (end === "index.html" || end === "")
+      pieces.pop();
+    return(pieces);
+  }
+
+  function prefix_length(needle, haystack) {
+    if (needle.length > haystack.length)
+      return(0);
+
+    // Special case for length-0 haystack, since for loop won't run
+    if (haystack.length === 0) {
+      return(needle.length === 0 ? 1 : 0);
+    }
+
+    for (var i = 0; i < haystack.length; i++) {
+      if (needle[i] != haystack[i])
+        return(i);
+    }
+
+    return(haystack.length);
+  }
+
+  /* Clipboard --------------------------*/
+
+  function changeTooltipMessage(element, msg) {
+    var tooltipOriginalTitle=element.getAttribute('data-original-title');
+    element.setAttribute('data-original-title', msg);
+    $(element).tooltip('show');
+    element.setAttribute('data-original-title', tooltipOriginalTitle);
+  }
+
+  if(ClipboardJS.isSupported()) {
+    $(document).ready(function() {
+      var copyButton = "<button type='button' class='btn btn-primary btn-copy-ex' type = 'submit' title='Copy to clipboard' aria-label='Copy to clipboard' data-toggle='tooltip' data-placement='left auto' data-trigger='hover' data-clipboard-copy><i class='fa fa-copy'></i></button>";
+
+      $(".examples, div.sourceCode").addClass("hasCopyButton");
+
+      // Insert copy buttons:
+      $(copyButton).prependTo(".hasCopyButton");
+
+      // Initialize tooltips:
+      $('.btn-copy-ex').tooltip({container: 'body'});
+
+      // Initialize clipboard:
+      var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', {
+        text: function(trigger) {
+          return trigger.parentNode.textContent;
+        }
+      });
+
+      clipboardBtnCopies.on('success', function(e) {
+        changeTooltipMessage(e.trigger, 'Copied!');
+        e.clearSelection();
+      });
+
+      clipboardBtnCopies.on('error', function() {
+        changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
+      });
+    });
+  }
+})(window.jQuery || window.$)
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
new file mode 100644
index 0000000..7430be2
--- /dev/null
+++ b/docs/pkgdown.yml
@@ -0,0 +1,7 @@
+pandoc: '2.4'
+pkgdown: 1.2.0
+pkgdown_sha: ~
+articles:
+  data_analysis_pipeline: data_analysis_pipeline.html
+  sstable: sstable.html
+
diff --git a/docs/reference/contSummary.html b/docs/reference/contSummary.html
new file mode 100644
index 0000000..1e9c3a7
--- /dev/null
+++ b/docs/reference/contSummary.html
@@ -0,0 +1,179 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Calculate summary statistics for continuous variable — contSummary • C306</title>
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha256-916EbMg70RQy9LHiGkXzG8hSg9EdNy97GazNG/aiY1w=" crossorigin="anonymous" />
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" integrity="sha256-eZrrJcwDc/3uDhsdt61sL2oOBY362qM3lon1gyExkL0=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script>
+
+<!-- sticky kit -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/sticky-kit/1.1.3/sticky-kit.min.js" integrity="sha256-c4Rlo1ZozqTPE2RLuvbusY3+SU1pQaJC0TjuhygMipw=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+<meta property="og:title" content="Calculate summary statistics for continuous variable — contSummary" />
+
+<meta property="og:description" content="A function to calculate summary statistics for continuous variable." />
+<meta name="twitter:card" content="summary" />
+
+
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+  </head>
+
+  <body>
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">C306</a>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../index.html">
+    <span class="fa fa-home fa-lg"></span>
+     
+  </a>
+</li>
+<li>
+  <a href="../reference/index.html">Reference</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
+      <ul class="nav navbar-nav navbar-right">
+        
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Calculate summary statistics for continuous variable</h1>
+    
+    <div class="hidden name"><code>contSummary.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to calculate summary statistics for continuous variable.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>contSummary</span>(<span class='no'>x</span>, <span class='kw'>statistics</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"med.IQR"</span>, <span class='st'>"med.90"</span>, <span class='st'>"med.range"</span>,
+  <span class='st'>"mean.sd"</span>), <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>n</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>x</th>
+      <td><p>a numeric vector to be summarised.</p></td>
+    </tr>
+    <tr>
+      <th>statistics</th>
+      <td><p>a character specifies summary statistics for continuous row variables.</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
+    </tr>
+    <tr>
+      <th>n</th>
+      <td><p>a logical value specifies whether output will contain the number of non-missing values.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>a string displays formatted summary statistics.</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+   </div>
+
+  
+
+  </body>
+</html>
+
diff --git a/docs/reference/convert.info.html b/docs/reference/convert.info.html
new file mode 100644
index 0000000..528a4d2
--- /dev/null
+++ b/docs/reference/convert.info.html
@@ -0,0 +1,170 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Convert imported OUCRU's data dictionary into a general data dictionary — convert.info • C306</title>
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha256-916EbMg70RQy9LHiGkXzG8hSg9EdNy97GazNG/aiY1w=" crossorigin="anonymous" />
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" integrity="sha256-eZrrJcwDc/3uDhsdt61sL2oOBY362qM3lon1gyExkL0=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script>
+
+<!-- sticky kit -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/sticky-kit/1.1.3/sticky-kit.min.js" integrity="sha256-c4Rlo1ZozqTPE2RLuvbusY3+SU1pQaJC0TjuhygMipw=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+<meta property="og:title" content="Convert imported OUCRU's data dictionary into a general data dictionary — convert.info" />
+
+<meta property="og:description" content="A function to convert imported OUCRU's data dictionary into a general data dictionary." />
+<meta name="twitter:card" content="summary" />
+
+
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+  </head>
+
+  <body>
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">C306</a>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../index.html">
+    <span class="fa fa-home fa-lg"></span>
+     
+  </a>
+</li>
+<li>
+  <a href="../reference/index.html">Reference</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
+      <ul class="nav navbar-nav navbar-right">
+        
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Convert imported OUCRU's data dictionary into a general data dictionary</h1>
+    
+    <div class="hidden name"><code>convert.info.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to convert imported OUCRU's data dictionary into a general data dictionary.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>convert.info</span>(<span class='no'>oucru_info</span>, <span class='no'>oucru_category</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>oucru_info</th>
+      <td><p>a data frame contains imported data of a sheet from OUCRU's data dictionary.</p></td>
+    </tr>
+    <tr>
+      <th>oucru_category</th>
+      <td><p>a data frame specifies how categorical variables are coded in OUCRU's database.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>A data frame contains data dictionary information in a general format.</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+   </div>
+
+  
+
+  </body>
+</html>
+
diff --git a/docs/reference/createProject.html b/docs/reference/createProject.html
new file mode 100644
index 0000000..7b4ed83
--- /dev/null
+++ b/docs/reference/createProject.html
@@ -0,0 +1,170 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Create project's folder based on pre-defined folder structure — createProject • C306</title>
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha256-916EbMg70RQy9LHiGkXzG8hSg9EdNy97GazNG/aiY1w=" crossorigin="anonymous" />
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" integrity="sha256-eZrrJcwDc/3uDhsdt61sL2oOBY362qM3lon1gyExkL0=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script>
+
+<!-- sticky kit -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/sticky-kit/1.1.3/sticky-kit.min.js" integrity="sha256-c4Rlo1ZozqTPE2RLuvbusY3+SU1pQaJC0TjuhygMipw=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+<meta property="og:title" content="Create project's folder based on pre-defined folder structure — createProject" />
+
+<meta property="og:description" content="A generic function to create a project's folder based on pre-defined folder structure." />
+<meta name="twitter:card" content="summary" />
+
+
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+  </head>
+
+  <body>
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
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+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
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+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
+      <ul class="nav navbar-nav navbar-right">
+        
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+      
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+
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+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Create project's folder based on pre-defined folder structure</h1>
+    
+    <div class="hidden name"><code>createProject.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A generic function to create a project's folder based on pre-defined folder structure.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>createProject</span>(<span class='no'>dir</span>, <span class='kw'>structure</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"OUCRU_RCT_wInterim"</span>))</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>dir</th>
+      <td><p>a character specifies where to create the project's folder.</p></td>
+    </tr>
+    <tr>
+      <th>structure</th>
+      <td><p>a character specifies the pre-defined folder structure to be used.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>A message to confirm that the project's folder is created at the designed place.</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
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diff --git a/docs/reference/getlabel.html b/docs/reference/getlabel.html
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+    <div class="page-header">
+    <h1>Obtain label of variable(s) based on metadata information</h1>
+    
+    <div class="hidden name"><code>getlabel.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to obtain label of one vector or each variable in one data frame based on pre-defined metadata information.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>getlabel</span>(<span class='no'>x</span>, <span class='kw'>meta</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>unit</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>fit</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>x</th>
+      <td><p>a vector or data frame to get label.</p></td>
+    </tr>
+    <tr>
+      <th>meta</th>
+      <td><p>a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).</p></td>
+    </tr>
+    <tr>
+      <th>unit</th>
+      <td><p>a logical value specifies whether unit will be appendded in the label of continous variables.</p></td>
+    </tr>
+    <tr>
+      <th>fit</th>
+      <td><p>a logical value specifies whether the label will use presentation as in model fitting.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>vector of character of label</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
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+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
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+
diff --git a/docs/reference/hello.html b/docs/reference/hello.html
new file mode 100644
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+
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+    <div class="page-header">
+    <h1>Hello, World!</h1>
+    
+    <div class="hidden name"><code>hello.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>Prints 'Hello, world!'.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>hello</span>()</pre>
+        
+
+    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
+    <pre class="examples"><div class='input'><span class='fu'>hello</span>()</div><div class='output co'>#&gt; <span class='error'>Error in hello(): could not find function "hello"</span></div></pre>
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+    <ul class="nav nav-pills nav-stacked">
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diff --git a/docs/reference/import.info.html b/docs/reference/import.info.html
new file mode 100644
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+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
+      <ul class="nav navbar-nav navbar-right">
+        
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Import OUCRU's data dictionary into R</h1>
+    
+    <div class="hidden name"><code>import.info.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to import OUCRU's data dictionary into R.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>import.info</span>(<span class='no'>table_name</span>, <span class='no'>input</span>, <span class='no'>output</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>table_name</th>
+      <td><p>a character vector specifies names of Excel sheets (in OUCRU's data dictionary) to be imported.</p></td>
+    </tr>
+    <tr>
+      <th>input</th>
+      <td><p>a character value specifies path to the OUCRU's data dictionary file (in Excel format).</p></td>
+    </tr>
+    <tr>
+      <th>output</th>
+      <td><p>a character value specifies where to save imported data.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>Nothing (imported data will be saved in the pre-defined output directory)</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+   </div>
+
+  
+
+  </body>
+</html>
+
diff --git a/docs/reference/index.html b/docs/reference/index.html
new file mode 100644
index 0000000..95a4888
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+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.1.1</span>
+      </span>
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+</li>
+<li class="dropdown">
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+    Articles
+     
+    <span class="caret"></span>
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+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
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+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
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+</li>
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+        
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+
+      
+      </header>
+
+<div class="row">
+  <div class="contents col-md-9">
+    <div class="page-header">
+      <h1>Reference</h1>
+    </div>
+
+    <table class="ref-index">
+
+    <colgroup>
+      
+      <col class="alias" />
+      <col class="title" />
+    </colgroup>
+
+    <tbody>
+      <tr>
+        <th colspan="2">
+          <h2 id="section-all-functions" class="hasAnchor"><a href="#section-all-functions" class="anchor"></a>All functions</h2>
+          <p class="section-desc"></p>
+        </th>
+      </tr>
+      <tr>
+        
+        <td>
+          <p><code><a href="contSummary.html">contSummary()</a></code> </p>
+        </td>
+        <td><p>Calculate summary statistics for continuous variable</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="convert.info.html">convert.info()</a></code> </p>
+        </td>
+        <td><p>Convert imported OUCRU's data dictionary into a general data dictionary</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="createProject.html">createProject()</a></code> </p>
+        </td>
+        <td><p>Create project's folder based on pre-defined folder structure</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="getlabel.html">getlabel()</a></code> </p>
+        </td>
+        <td><p>Obtain label of variable(s) based on metadata information</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="hello.html">hello()</a></code> </p>
+        </td>
+        <td><p>Hello, World!</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="import.info.html">import.info()</a></code> </p>
+        </td>
+        <td><p>Import OUCRU's data dictionary into R</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="inspect.data.html">inspect.data()</a></code> </p>
+        </td>
+        <td><p>Check formatted data based on a pre-defined information</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="labAE.html">labAE()</a></code> </p>
+        </td>
+        <td><p>Identify new lab adverse event to report</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="myformat.data.html">myformat.data()</a></code> </p>
+        </td>
+        <td><p>Format data based on pre-defined information</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="sstable.ae.html">sstable.ae()</a></code> </p>
+        </td>
+        <td><p>Create an adverse event summary table</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="sstable.baseline.html">sstable.baseline()</a></code> </p>
+        </td>
+        <td><p>Create baseline table</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="sstable.survcomp.html">sstable.survcomp()</a></code> </p>
+        </td>
+        <td><p>Summarize results for a Cox survival model with the treatment arm as the main covariate</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="sstable.survcomp.subgroup.html">sstable.survcomp.subgroup()</a></code> </p>
+        </td>
+        <td><p>Summarize results for a Cox survival model by treatment arm and subgroup</p></td>
+      </tr>
+    </tbody>
+    </table>
+  </div>
+
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#section-all-functions">All functions</a></li>
+    </ul>
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+   </div>
+
+  
+
+  </body>
+</html>
+
diff --git a/docs/reference/inspect.data.html b/docs/reference/inspect.data.html
new file mode 100644
index 0000000..1a7f4c4
--- /dev/null
+++ b/docs/reference/inspect.data.html
@@ -0,0 +1,191 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
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+<meta http-equiv="X-UA-Compatible" content="IE=edge">
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+<title>Check formatted data based on a pre-defined information — inspect.data • C306</title>
+
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+
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+</li>
+<li class="dropdown">
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+    Articles
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+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
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+        
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+
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+
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+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Check formatted data based on a pre-defined information</h1>
+    
+    <div class="hidden name"><code>inspect.data.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to check a formatted data frame based on a pre-defined information.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>inspect.data</span>(<span class='no'>data</span>, <span class='no'>info</span>, <span class='no'>id</span>, <span class='kw'>check_missing</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='fl'>TRUE</span>, <span class='fl'>FALSE</span>),
+  <span class='kw'>plot</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>prefix</span> <span class='kw'>=</span> <span class='st'>""</span>, <span class='no'>outdir</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>data</th>
+      <td><p>a formatted data frame to be checked.</p></td>
+    </tr>
+    <tr>
+      <th>info</th>
+      <td><p>a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable), condition (character variable specifies conditional checking), strict (a character variable [Yes, No] specifies whether missing data should be checked for each variable).</p></td>
+    </tr>
+    <tr>
+      <th>id</th>
+      <td><p>a character specifies name of subject id variable.</p></td>
+    </tr>
+    <tr>
+      <th>check_missing</th>
+      <td><p>a logical value specifies whether missing data should be checked.</p></td>
+    </tr>
+    <tr>
+      <th>plot</th>
+      <td><p>a logical value specifies whether plot (bar plot for categorical variables, boxplot for continuous variables) should be produced.</p></td>
+    </tr>
+    <tr>
+      <th>prefix</th>
+      <td><p>a character to be appended as prefix of all output files.</p></td>
+    </tr>
+    <tr>
+      <th>outdir</th>
+      <td><p>a character specifies where to save output files.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>A data frame lists all identified potential data errors.</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
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+
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+
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+</html>
+
diff --git a/docs/reference/labAE.html b/docs/reference/labAE.html
new file mode 100644
index 0000000..2ed97fd
--- /dev/null
+++ b/docs/reference/labAE.html
@@ -0,0 +1,170 @@
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+
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+    Articles
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+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
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+    <div class="page-header">
+    <h1>Identify new lab adverse event to report</h1>
+    
+    <div class="hidden name"><code>labAE.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to identify new lab adverse event to report from a vector of consecutive lab adverse event grade.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>labAE</span>(<span class='no'>data</span>, <span class='no'>gradecut</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>data</th>
+      <td><p>a numeric vector of consecutive lab adverse event grade.</p></td>
+    </tr>
+    <tr>
+      <th>gradecut</th>
+      <td><p>a grade threshold to report.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>A factor specifies whether new lab adverse event to report is identified or not.</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
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+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
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+
diff --git a/docs/reference/myformat.data.html b/docs/reference/myformat.data.html
new file mode 100644
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+    <div class="page-header">
+    <h1>Format data based on pre-defined information</h1>
+    
+    <div class="hidden name"><code>myformat.data.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to format each variable in data frame based on pre-defined information.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>myformat.data</span>(<span class='no'>data</span>, <span class='no'>info</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>data</th>
+      <td><p>a data frame contains variables to be formatted</p></td>
+    </tr>
+    <tr>
+      <th>info</th>
+      <td><p>a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable).</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>a data frame with variables are formatted according information specified in info</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
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diff --git a/docs/reference/sstable.ae.html b/docs/reference/sstable.ae.html
new file mode 100644
index 0000000..6fdd221
--- /dev/null
+++ b/docs/reference/sstable.ae.html
@@ -0,0 +1,242 @@
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+
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+    Articles
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+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
+      <ul class="nav navbar-nav navbar-right">
+        
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+      
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+</div><!--/.navbar -->
+
+      
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Create an adverse event summary table</h1>
+    
+    <div class="hidden name"><code>sstable.ae.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to create a simple adverse event summary table.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>sstable.ae</span>(<span class='no'>ae_data</span>, <span class='no'>fullid_data</span>, <span class='no'>id.var</span>, <span class='no'>aetype.var</span>, <span class='kw'>grade.var</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
+  <span class='no'>arm.var</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>0</span>, <span class='kw'>test</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>0.001</span>,
+  <span class='kw'>chisq.test</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>correct</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>simulate.p.value</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
+  <span class='kw'>B</span> <span class='kw'>=</span> <span class='fl'>2000</span>, <span class='kw'>workspace</span> <span class='kw'>=</span> <span class='fl'>1e+06</span>, <span class='kw'>hybrid</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
+  <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>ae_data</th>
+      <td><p>a data frame contains adverse event data.</p></td>
+    </tr>
+    <tr>
+      <th>fullid_data</th>
+      <td><p>a data frame contains treatment arm data of all participants (not just those had adverse event).</p></td>
+    </tr>
+    <tr>
+      <th>id.var</th>
+      <td><p>a character specifies name of study id variable (exists in both adverse event data and treatment arm data).</p></td>
+    </tr>
+    <tr>
+      <th>aetype.var</th>
+      <td><p>a character specifies name of adverse event type variable (exists in adverse event data).</p></td>
+    </tr>
+    <tr>
+      <th>grade.var</th>
+      <td><p>a character specifies name of adverse event grade variable (exists in adverse event data).</p></td>
+    </tr>
+    <tr>
+      <th>arm.var</th>
+      <td><p>a character specifies name of treatment arm variable (exists in treatment arm data).</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
+    </tr>
+    <tr>
+      <th>test</th>
+      <td><p>a logical value specifies whether a statistical test will be performed to compare between treatment arms.</p></td>
+    </tr>
+    <tr>
+      <th>pdigits</th>
+      <td><p>a number specifies number of significant digits for p value.</p></td>
+    </tr>
+    <tr>
+      <th>pcutoff</th>
+      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
+    </tr>
+    <tr>
+      <th>chisq.test</th>
+      <td><p>a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.</p></td>
+    </tr>
+    <tr>
+      <th>correct</th>
+      <td><p>a parameter for chisq.test().</p></td>
+    </tr>
+    <tr>
+      <th>simulate.p.value</th>
+      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>B</th>
+      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>workspace</th>
+      <td><p>a parameter for fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>hybrid</th>
+      <td><p>a parameter for fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>footer</th>
+      <td><p>a vector of strings to be used as footnote of table.</p></td>
+    </tr>
+    <tr>
+      <th>flextable</th>
+      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
+    </tr>
+    <tr>
+      <th>bg</th>
+      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>a flextable-type table or a list with values/headers/footers</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
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+</div>
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diff --git a/docs/reference/sstable.baseline.html b/docs/reference/sstable.baseline.html
new file mode 100644
index 0000000..6e1b0b5
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@@ -0,0 +1,243 @@
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+    Articles
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+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
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+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
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+      </ul>
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+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Create baseline table</h1>
+    
+    <div class="hidden name"><code>sstable.baseline.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to create a simple summary baseline table.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>sstable.baseline</span>(<span class='no'>formula</span>, <span class='no'>data</span>, <span class='kw'>bycol</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>pooledGroup</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
+  <span class='kw'>statistics</span> <span class='kw'>=</span> <span class='st'>"med.IQR"</span>, <span class='kw'>continuous</span> <span class='kw'>=</span> <span class='fl'>NA</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>1</span>,
+  <span class='kw'>test</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>1e-04</span>, <span class='kw'>chisq.test</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
+  <span class='kw'>correct</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>simulate.p.value</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>B</span> <span class='kw'>=</span> <span class='fl'>2000</span>,
+  <span class='kw'>workspace</span> <span class='kw'>=</span> <span class='fl'>1e+06</span>, <span class='kw'>hybrid</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
+  <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>formula</th>
+      <td><p>a formula specifies variables for rows, variable for column and third-dimension variable.</p></td>
+    </tr>
+    <tr>
+      <th>data</th>
+      <td><p>a data frame to derive baseline table from.</p></td>
+    </tr>
+    <tr>
+      <th>bycol</th>
+      <td><p>a logical value specifies whether the summary will be by column or by row.</p></td>
+    </tr>
+    <tr>
+      <th>pooledGroup</th>
+      <td><p>a logical value specifies whether to pool all subgroups of column variable.</p></td>
+    </tr>
+    <tr>
+      <th>statistics</th>
+      <td><p>a character specifies summary statistics for continuous row variables.</p></td>
+    </tr>
+    <tr>
+      <th>continuous</th>
+      <td><p>a logical vector specifies whether each row variables is continuous or categorical.</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
+    </tr>
+    <tr>
+      <th>test</th>
+      <td><p>a logical value specifies whether a statistical test will be performed to compare between treatment arms.</p></td>
+    </tr>
+    <tr>
+      <th>pdigits</th>
+      <td><p>a number specifies number of significant digits for p value.</p></td>
+    </tr>
+    <tr>
+      <th>pcutoff</th>
+      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
+    </tr>
+    <tr>
+      <th>chisq.test</th>
+      <td><p>a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.</p></td>
+    </tr>
+    <tr>
+      <th>correct</th>
+      <td><p>a parameter for chisq.test().</p></td>
+    </tr>
+    <tr>
+      <th>simulate.p.value</th>
+      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>B</th>
+      <td><p>a parameter for chisq.test() and fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>workspace</th>
+      <td><p>a parameter for fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>hybrid</th>
+      <td><p>a parameter for fisher.test().</p></td>
+    </tr>
+    <tr>
+      <th>footer</th>
+      <td><p>a vector of strings to be used as footnote of table.</p></td>
+    </tr>
+    <tr>
+      <th>flextable</th>
+      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
+    </tr>
+    <tr>
+      <th>bg</th>
+      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>a flextable-type table or a list with values/headers/footers</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+   </div>
+
+  
+
+  </body>
+</html>
+
diff --git a/docs/reference/sstable.survcomp.html b/docs/reference/sstable.survcomp.html
new file mode 100644
index 0000000..b53b586
--- /dev/null
+++ b/docs/reference/sstable.survcomp.html
@@ -0,0 +1,210 @@
+<!-- Generated by pkgdown: do not edit by hand -->
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+    Articles
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+    <li>
+      <a href="../articles/data_analysis_pipeline.html">Data analysis pipeline</a>
+    </li>
+    <li>
+      <a href="../articles/sstable.html">Simple Summary Table</a>
+    </li>
+  </ul>
+</li>
+      </ul>
+      
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+        
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+
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+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Summarize results for a Cox survival model with the treatment arm as the main covariate</h1>
+    
+    <div class="hidden name"><code>sstable.survcomp.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>sstable.survcomp</span>(<span class='no'>model</span>, <span class='no'>data</span>, <span class='kw'>add.risk</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
+  <span class='kw'>add.prop.haz.test</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>medsum</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>2</span>, <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>,
+  <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>0.001</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>model</th>
+      <td><p>a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.</p></td>
+    </tr>
+    <tr>
+      <th>data</th>
+      <td><p>a data frame to fir the Cox survival model.</p></td>
+    </tr>
+    <tr>
+      <th>add.risk</th>
+      <td><p>a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.</p></td>
+    </tr>
+    <tr>
+      <th>add.prop.haz.test</th>
+      <td><p>a logical value specifies whether a test for proportional hazards should be added.</p></td>
+    </tr>
+    <tr>
+      <th>medsum</th>
+      <td><p>a logical value specifies whether median (IQR) of time to event should be described.</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
+    </tr>
+    <tr>
+      <th>pdigits</th>
+      <td><p>a number specifies number of significant digits for p value.</p></td>
+    </tr>
+    <tr>
+      <th>pcutoff</th>
+      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
+    </tr>
+    <tr>
+      <th>footer</th>
+      <td><p>a vector of strings to be used as footnote of table.</p></td>
+    </tr>
+    <tr>
+      <th>flextable</th>
+      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
+    </tr>
+    <tr>
+      <th>bg</th>
+      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>a flextable-type table or a list with values/headers/footers</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+    <h2>Author</h2>
+    <p>This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.</p>
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
+</div>
+      </footer>
+   </div>
+
+  
+
+  </body>
+</html>
+
diff --git a/docs/reference/sstable.survcomp.subgroup.html b/docs/reference/sstable.survcomp.subgroup.html
new file mode 100644
index 0000000..6ccb192
--- /dev/null
+++ b/docs/reference/sstable.survcomp.subgroup.html
@@ -0,0 +1,206 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
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+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
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+
+<!-- jquery -->
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+    <h1>Summarize results for a Cox survival model by treatment arm and subgroup</h1>
+    
+    <div class="hidden name"><code>sstable.survcomp.subgroup.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    
+    <p>A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.</p>
+    
+    </div>
+
+    <pre class="usage"><span class='fu'>sstable.survcomp.subgroup</span>(<span class='no'>base.model</span>, <span class='no'>subgroup.model</span>, <span class='no'>data</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>2</span>,
+  <span class='kw'>pdigits</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>pcutoff</span> <span class='kw'>=</span> <span class='fl'>0.001</span>, <span class='kw'>footer</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>flextable</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
+  <span class='kw'>bg</span> <span class='kw'>=</span> <span class='st'>"#F2EFEE"</span>, <span class='no'>...</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>base.model</th>
+      <td><p>a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).</p></td>
+    </tr>
+    <tr>
+      <th>subgroup.model</th>
+      <td><p>a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).</p></td>
+    </tr>
+    <tr>
+      <th>data</th>
+      <td><p>a data frame to fir the Cox survival model.</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>a number specifies number of significant digits for numeric statistics.</p></td>
+    </tr>
+    <tr>
+      <th>pdigits</th>
+      <td><p>a number specifies number of significant digits for p value.</p></td>
+    </tr>
+    <tr>
+      <th>pcutoff</th>
+      <td><p>a number specifies threshold value of p value to be displayed as "&lt; pcutoff".</p></td>
+    </tr>
+    <tr>
+      <th>footer</th>
+      <td><p>a vector of strings to be used as footnote of table.</p></td>
+    </tr>
+    <tr>
+      <th>flextable</th>
+      <td><p>a logical value specifies whether output will be a flextable-type table.</p></td>
+    </tr>
+    <tr>
+      <th>bg</th>
+      <td><p>a character specifies color of the odd rows in the body of flextable-type table.</p></td>
+    </tr>
+    <tr>
+      <th>...</th>
+      <td><p>arguments that are passed to sstable.survcomp.</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>a flextable-type table or a list with values/headers/footers</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+          </ul>
+
+    <h2>Author</h2>
+    <p>This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.</p>
+  </div>
+</div>
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Lam Phung Khanh.</p>
+</div>
+
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+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.2.0.</p>
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+
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/01_import.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/01_import.R
new file mode 100644
index 0000000..2afcf4c
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/01_import.R
@@ -0,0 +1,23 @@
+##******************************************************************************
+## Import raw data into R
+## Author:
+## Version:
+##******************************************************************************
+
+# set up ------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+# import ------------------------------------------------------------------
+
+## import raw data from file.path("..", "Data", "Raw", "Final")
+
+## import metadata from file.path("..", "Data", "Info")
+
+# save --------------------------------------------------------------------
+
+## save as .Rdata in file.path("..", "Data", "Imported")
+save(..., file = file.path("..", "Data", "Imported", "xxx.Rdata"))
+
+
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/02_clean.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/02_clean.R
new file mode 100644
index 0000000..3a0bfb5
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/02_clean.R
@@ -0,0 +1,24 @@
+##******************************************************************************
+## Check and Clean imported data
+## Author:
+## Version:
+##******************************************************************************
+
+# set up ------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+## load imported data from file.path("..", "Data", "Imported")
+load(file.path("..", "Data", "Imported", "xxx.Rdata"))
+
+# check -------------------------------------------------------------------
+
+
+# clean -------------------------------------------------------------------
+
+
+# save --------------------------------------------------------------------
+
+## save as .Rdata in file.path("..", "Data", "Cleaned")
+save(..., file = file.path("..", "Data", "Cleaned", "xxx.Rdata"))
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/03_createVAD.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/03_createVAD.R
new file mode 100644
index 0000000..87dc20d
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/03_createVAD.R
@@ -0,0 +1,26 @@
+##******************************************************************************
+## Create value-added data for analysis
+## Author:
+## Version:
+##******************************************************************************
+
+# set up ------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+## load imported data from file.path("..", "Data", "Cleaned")
+load(file.path("..", "Data", "Cleaned", "xxx.Rdata"))
+
+# format ------------------------------------------------------------------
+
+
+# manipulate --------------------------------------------------------------
+
+
+# save --------------------------------------------------------------------
+
+## save as .Rdata in file.path("..", "Data", "VAD")
+save(..., file = file.path("..", "Data", "VAD", "xxx.Rdata"))
+
+
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/04_analysis.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/04_analysis.R
new file mode 100644
index 0000000..845b019
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/04_analysis.R
@@ -0,0 +1,38 @@
+##******************************************************************************
+## Main analysis
+## Author:
+## Version:
+##******************************************************************************
+
+
+# setup -------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+## load functions
+# source(file.path("functions", "xxx.R"))
+
+## fake or real analysis
+## (T for all analysis based on the dummy (fake) randomization list; set to F for the real analysis)
+dummy <- TRUE
+
+## import randomization list
+randolist <- read.csv(file.path("..", "Data", "RandomizationList", "xxx.csv"))
+arm_levels <- ifelse(dummy == TRUE,
+                     paste("Dummy", LETTERS[1:length(unique(randolist$arm))]),
+                     unique(randolist$arm))
+randolist$arm <- factor(randolist$arm, levels = arm_levels)
+
+## load data
+load(file.path("..", "Data", "VAD", "xxx.Rdata"))
+
+
+# analysis ----------------------------------------------------------------
+
+## intermediate results/R objects should be saved in folder tmp
+## figures should be saved in folder figures
+
+
+
+
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/05_report.Rmd b/inst/structure/OUCRU_RCT_wInterim/Analysis/05_report.Rmd
new file mode 100644
index 0000000..8dbcdfc
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/05_report.Rmd
@@ -0,0 +1,49 @@
+---
+title: "Analysis (BLINDED VERSION)"
+author: "Code preparation: "
+date: "`r Sys.Date()`"
+output:
+   html_document:
+    toc: true
+    theme: cerulean   
+---
+
+## Background
+
+```{r set_up, echo = FALSE}
+## load required libraries and functions
+
+## fake or real analysis 
+## (T for all analysis based on the dummy (fake) randomization list; set to F for the real analysis)
+dummy <- TRUE
+
+## import randomization list
+randolist <- read.csv(file.path("..", "Data", "RandomizationList", "xxx.csv"))
+arm_levels <- ifelse(dummy == TRUE,
+                     paste("Dummy", LETTERS[1:length(unique(randolist$arm))]),
+                     unique(randolist$arm))
+randolist$arm <- factor(randolist$arm, levels = arm_levels)
+
+## import VAD from file.path("..", "Data", "VAD")
+load(file.path("..", "Data", "VAD", "xxx.Rdata"))
+
+## merge randomization list with data
+```
+
+## General description
+
+## Primary endpoints
+
+## Secondary endpoints
+
+## Adverse events
+
+### Clinical adverse events
+
+### Laboratory adverse events
+
+## Additional analyses
+
+## Appendix
+
+
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/Readme.txt
new file mode 100644
index 0000000..6da1763
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/Readme.txt
@@ -0,0 +1,20 @@
+This folder contains all codes for the final analysis.
+
+To prepare data for the interim analysis:
+1) Run interim_01_import.R
+2) Run interim_02_clean.R
+3) Run interim_03_createVAD.R
+(.Rdata files should be saved in Data and InterimAnalysis folders at the top level)
+
+To prepare data for the final analysis:
+1) Run 01_import.R
+2) Run 02_clean.R
+3) Run 03_createVAD.R
+(.Rdata files should be saved in Data at the top level)
+
+To reproduce the final analysis:
+1) Run 04_analysis.R
+2) Run 05_report.Rmd
+(figures should be saved in subfolder figures)
+
+Additional functions/libraries should be saved in subfolder functions
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/figures/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/figures/Readme.txt
new file mode 100644
index 0000000..383324f
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/figures/Readme.txt
@@ -0,0 +1 @@
+This folder contains graphical output.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/functions/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/functions/Readme.txt
new file mode 100644
index 0000000..6a288f1
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/functions/Readme.txt
@@ -0,0 +1 @@
+This folder contains all additional functions/packages
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_01_import.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_01_import.R
new file mode 100644
index 0000000..e531dda
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_01_import.R
@@ -0,0 +1,21 @@
+##******************************************************************************
+## Import raw interim data into R
+## Author:
+## Version:
+##******************************************************************************
+
+# set up ------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+# import ------------------------------------------------------------------
+
+## import raw data from file.path("..", "Data", "Raw", "Interim")
+
+## import metadata from file.path("..", "Data", "Info")
+
+# save --------------------------------------------------------------------
+
+## save as .Rdata in file.path("..", "Data", "Imported")
+save(..., file = file.path("..", "Data", "Imported", "interim_xxx.Rdata"))
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_02_clean.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_02_clean.R
new file mode 100644
index 0000000..d541973
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_02_clean.R
@@ -0,0 +1,24 @@
+##******************************************************************************
+## Check and Clean imported interim data
+## Author:
+## Version:
+##******************************************************************************
+
+# set up ------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+## load imported data from file.path("..", "Data", "Imported")
+load(file.path("..", "Data", "Imported", "interim_xxx.Rdata"))
+
+# check -------------------------------------------------------------------
+
+
+# clean -------------------------------------------------------------------
+
+
+# save --------------------------------------------------------------------
+
+## save as .Rdata in file.path("..", "Data", "Cleaned")
+save(..., file = file.path("..", "Data", "Cleaned", "interim_xxx.Rdata"))
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_03_createVAD.R b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_03_createVAD.R
new file mode 100644
index 0000000..4cbb65a
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/interim_03_createVAD.R
@@ -0,0 +1,27 @@
+##******************************************************************************
+## Create value-added data for analysis
+## Author:
+## Version:
+##******************************************************************************
+
+# set up ------------------------------------------------------------------
+
+## set working directory
+setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+## load imported data from file.path("..", "Data", "Cleaned")
+load(file.path("..", "Data", "Cleaned", "interim_xxx.Rdata"))
+
+# format ------------------------------------------------------------------
+
+
+# manipulate --------------------------------------------------------------
+
+
+# save --------------------------------------------------------------------
+
+## save as .Rdata in file.path("..", "Data", "VAD")
+save(..., file = file.path("..", "Data", "VAD", "interim_xxx.Rdata"))
+save(..., file = file.path("..", "InterimAnalysis", "InterimAnalysis_01", "Data", "InterimData", "interim_xxx.Rdata"))
+
+
diff --git a/inst/structure/OUCRU_RCT_wInterim/Analysis/tmp/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Analysis/tmp/Readme.txt
new file mode 100644
index 0000000..27ae940
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Analysis/tmp/Readme.txt
@@ -0,0 +1 @@
+This folder contains intermediate/temporary outputs.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Cleaned/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Cleaned/Readme.txt
new file mode 100644
index 0000000..c70aa95
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Cleaned/Readme.txt
@@ -0,0 +1 @@
+This folder contains cleaned data.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Imported/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Imported/Readme.txt
new file mode 100644
index 0000000..0c8b6a9
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Imported/Readme.txt
@@ -0,0 +1 @@
+This folder contains data imported to R from raw data
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Info/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Info/Readme.txt
new file mode 100644
index 0000000..408ef11
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Info/Readme.txt
@@ -0,0 +1 @@
+This folder contains metadata information of the database.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/RandomizationList/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/RandomizationList/Readme.txt
new file mode 100644
index 0000000..aaaf1d6
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/RandomizationList/Readme.txt
@@ -0,0 +1 @@
+This folder contains randomization list(s)
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Final/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Final/Readme.txt
new file mode 100644
index 0000000..156886b
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Final/Readme.txt
@@ -0,0 +1 @@
+This folder contains raw data for final analysis.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Interim/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Interim/Readme.txt
new file mode 100644
index 0000000..8cf9e95
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Interim/Readme.txt
@@ -0,0 +1 @@
+This folder contains raw data for interim analysis.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Readme.txt
new file mode 100644
index 0000000..fece4d8
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Raw/Readme.txt
@@ -0,0 +1,5 @@
+This folder contains raw data
+
+Subfolder:
+- Interim: raw data for interim analysis
+- Final:   raw data for final analysis
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/Readme.txt
new file mode 100644
index 0000000..515bdac
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/Readme.txt
@@ -0,0 +1,8 @@
+This folder stores all data required for the analysis
+1) Raw: stores raw data in the Access database (.mdb) format, plus the data dictionary
+2) Randomization_list: stores randomization list(s) (in the interim phase, this folder only stores the dummy-randomization lists)
+3) Imported: stores R/SAS raw data imported from Access format
+4) VAD: stores value-added dataset that will be used for the analysis (in R/SAS format)
+5) VAD_csv: stores value-added dataset that will be used for the analysis (in csv format)
+
+Data for the interim analysis can be found in the InterimAnalyses folder.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Data/VAD/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Data/VAD/Readme.txt
new file mode 100644
index 0000000..d4e558d
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Data/VAD/Readme.txt
@@ -0,0 +1 @@
+This folder contains value-added data for analysis.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/DSMB_documents/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/DSMB_documents/Readme.txt
new file mode 100644
index 0000000..7015f80
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Documents/DSMB_documents/Readme.txt
@@ -0,0 +1 @@
+This folder contains all DSMB-related documents (charter, meeting minutes).
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/Manuscript/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/Manuscript/Readme.txt
new file mode 100644
index 0000000..fa74a11
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Documents/Manuscript/Readme.txt
@@ -0,0 +1 @@
+This folder contains all manuscript/report/final paper from this study.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/Protocol_CRF/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/Protocol_CRF/Readme.txt
new file mode 100644
index 0000000..624d128
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Documents/Protocol_CRF/Readme.txt
@@ -0,0 +1 @@
+This folder contains all protocol, CRFs of the study.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/Documents/SAP/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/Documents/SAP/Readme.txt
new file mode 100644
index 0000000..dcd855f
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/Documents/SAP/Readme.txt
@@ -0,0 +1 @@
+This folder contains statistical analysis plan.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/InterimData/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/InterimData/Readme.txt
new file mode 100644
index 0000000..56016fa
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/InterimData/Readme.txt
@@ -0,0 +1 @@
+This folder contains value-added interim data.
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/RandomizationList/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/RandomizationList/Readme.txt
new file mode 100644
index 0000000..d8c488f
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/Data/RandomizationList/Readme.txt
@@ -0,0 +1 @@
+This folder contains randomization lists
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/interimAnalysis_01.Rmd b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/interimAnalysis_01.Rmd
new file mode 100644
index 0000000..26af229
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/InterimAnalysis_01/interimAnalysis_01.Rmd
@@ -0,0 +1,52 @@
+---
+title: "Interim analysis (BLINDED VERSION)"
+author: "Code preparation: ...; DSMB statistician: ..."
+date: "`r Sys.Date()`"
+output:
+   html_document:
+    toc: true
+    theme: cerulean   
+---
+
+## Background 
+
+```{r set_up, echo = FALSE}
+## load required libraries and functions
+
+## fake or real analysis 
+## (T for all analysis based on the dummy (fake) randomization list; set to F for the real analysis)
+dummy <- TRUE
+
+## import randomization list
+randolist <- read.csv(file.path("Data", "RandomizationList", "xxx.csv"))
+arm_levels <- ifelse(dummy == TRUE,
+                     paste("Dummy", LETTERS[1:length(unique(randolist$arm))]),
+                     unique(randolist$arm))
+randolist$arm <- factor(randolist$arm, levels = arm_levels)
+
+## import study data
+load(file.path("Data", "InterimData", "xxx.Rdata"))
+
+## merge randomization list with data
+```
+
+## General description
+
+## Primary endpoints
+
+## Secondary endpoints
+
+## Adverse events
+
+### Clinical adverse events
+
+### Laboratory adverse events
+
+## Additional analyses
+
+## Appendix
+
+
+
+
+
diff --git a/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/Readme.txt b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/Readme.txt
new file mode 100644
index 0000000..8192e3b
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/InterimAnalysis/Readme.txt
@@ -0,0 +1,11 @@
+This folder contains all final data and codes for interim analysis.
+
+Process for an interim analysis:
+- Copy value-added data from folder Data/VAD (at top level) to subfolder Data/interimData.
+- Copy Dummy-randomization list from folder Data/RandomizationList (at top level) to subfolder Data/RandomizationList.
+- Run interimAnalysis.Rmd to create interim analysis report.
+- Zip the whole folder to send to DSMB statistician.
+
+DSMB statistician needs to:
+- Put the true randomization list in the Data/RandomizationList subfolder (and remove the dummy list)
+- change lines 5,6 and 14 of the code in interimAnalysis.Rmd
\ No newline at end of file
diff --git a/inst/structure/OUCRU_RCT_wInterim/OUCRU_RCT_wInterim.Rproj b/inst/structure/OUCRU_RCT_wInterim/OUCRU_RCT_wInterim.Rproj
new file mode 100644
index 0000000..8e3c2eb
--- /dev/null
+++ b/inst/structure/OUCRU_RCT_wInterim/OUCRU_RCT_wInterim.Rproj
@@ -0,0 +1,13 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
new file mode 100644
index 0000000..64a5a01
--- /dev/null
+++ b/man/as_sstable.Rd
@@ -0,0 +1,38 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{as_sstable}
+\alias{as_sstable}
+\alias{as_sstable.default}
+\alias{as_sstable.list}
+\alias{as_sstable.logist_summary}
+\alias{as_sstable.overlap_summary}
+\alias{as_sstable.subgroup_logist_summary}
+\title{Coerce an object to sstable}
+\usage{
+as_sstable(x, ...)
+
+\method{as_sstable}{default}(x, flextable = FALSE, ...)
+
+\method{as_sstable}{list}(x, flextable = FALSE, ...)
+
+\method{as_sstable}{logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
+
+\method{as_sstable}{overlap_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
+
+\method{as_sstable}{subgroup_logist_summary}(x, include_footnote = TRUE, flextable = FALSE, ...)
+}
+\arguments{
+\item{x}{An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")}
+
+\item{...}{additional param passed to \link{ss_flextable}}
+
+\item{flextable}{logical value specifying whether to return a flextable. Default is FALSE}
+
+\item{include_footnote}{logical value specifying whether to include footnote in the output. Default is FALSE}
+}
+\value{
+A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
+}
+\description{
+A function to coerce objects to a sstable
+}
diff --git a/man/contSummary.Rd b/man/contSummary.Rd
new file mode 100644
index 0000000..0312f60
--- /dev/null
+++ b/man/contSummary.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sstable.R
+\name{contSummary}
+\alias{contSummary}
+\title{Calculate summary statistics for continuous variable}
+\usage{
+contSummary(
+  x,
+  statistics = c("med.IQR", "med.90", "med.range", "mean.sd"),
+  digits = 1,
+  n = TRUE
+)
+}
+\arguments{
+\item{x}{a numeric vector to be summarised.}
+
+\item{statistics}{a character specifies summary statistics for continuous row variables.}
+
+\item{digits}{a number specifies number of significant digits for numeric statistics.}
+
+\item{n}{a logical value specifies whether output will contain the number of non-missing values.}
+}
+\value{
+a string displays formatted summary statistics.
+}
+\description{
+A function to calculate summary statistics for continuous variable.
+}
diff --git a/man/convert.info.Rd b/man/convert.info.Rd
new file mode 100644
index 0000000..b9ba986
--- /dev/null
+++ b/man/convert.info.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/OUCRU_data_dictionary.R
+\name{convert.info}
+\alias{convert.info}
+\title{Convert imported OUCRU's data dictionary into a general data dictionary}
+\usage{
+convert.info(oucru_info, oucru_category)
+}
+\arguments{
+\item{oucru_info}{a data frame contains imported data of a sheet from OUCRU's data dictionary.}
+
+\item{oucru_category}{a data frame specifies how categorical variables are coded in OUCRU's database.}
+}
+\value{
+A data frame contains data dictionary information in a general format.
+}
+\description{
+A function to convert imported OUCRU's data dictionary into a general data dictionary.
+}
diff --git a/man/createProject.Rd b/man/createProject.Rd
new file mode 100644
index 0000000..336e795
--- /dev/null
+++ b/man/createProject.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/createProject.R
+\name{createProject}
+\alias{createProject}
+\title{Create project's folder based on pre-defined folder structure}
+\usage{
+createProject(dir, structure = c("OUCRU_RCT_wInterim"))
+}
+\arguments{
+\item{dir}{a character specifies where to create the project's folder.}
+
+\item{structure}{a character specifies the pre-defined folder structure to be used.}
+}
+\value{
+A message to confirm that the project's folder is created at the designed place.
+}
+\description{
+A generic function to create a project's folder based on pre-defined folder structure.
+}
diff --git a/man/explicit.Rd b/man/explicit.Rd
new file mode 100644
index 0000000..aa939b1
--- /dev/null
+++ b/man/explicit.Rd
@@ -0,0 +1,17 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/explicit.R
+\name{explicit}
+\alias{explicit}
+\title{Transform an object to its explicit form}
+\usage{
+explicit(x, ...)
+}
+\arguments{
+\item{x}{An object}
+}
+\description{
+A function to transform an object to its explicit form if possible
+}
+\seealso{
+\link{explicit.lm}
+}
diff --git a/man/explicit.lm.Rd b/man/explicit.lm.Rd
new file mode 100644
index 0000000..471731b
--- /dev/null
+++ b/man/explicit.lm.Rd
@@ -0,0 +1,25 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/explicit.R
+\name{explicit.lm}
+\alias{explicit.lm}
+\title{Transform a model to its explicit form}
+\usage{
+\method{explicit}{lm}(fit)
+}
+\arguments{
+\item{fit}{An object of class "lm"}
+}
+\value{
+A model with explicit formula
+}
+\description{
+A function to transform an lm model formula to its explicit form.
+This is useful when you want to use stats::drop1 to drop additional terms in interaction models.
+}
+\examples{
+iris.model <- lm(Sepal.Width ~ Sepal.Length*Petal.Width, data=iris)
+explicit(iris.model)
+}
+\seealso{
+\link[stats]{add1}
+}
diff --git a/man/getlabel.Rd b/man/getlabel.Rd
new file mode 100644
index 0000000..2dcb9c4
--- /dev/null
+++ b/man/getlabel.Rd
@@ -0,0 +1,23 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/getlabel.R
+\name{getlabel}
+\alias{getlabel}
+\title{Obtain label of variable(s) based on metadata information}
+\usage{
+getlabel(x, meta = NULL, unit = TRUE, fit = FALSE)
+}
+\arguments{
+\item{x}{a vector or data frame to get label.}
+
+\item{meta}{a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).}
+
+\item{unit}{a logical value specifies whether unit will be appendded in the label of continous variables.}
+
+\item{fit}{a logical value specifies whether the label will use presentation as in model fitting.}
+}
+\value{
+vector of character of label
+}
+\description{
+A function to obtain label of one vector or each variable in one data frame based on pre-defined metadata information.
+}
diff --git a/man/hello.Rd b/man/hello.Rd
new file mode 100644
index 0000000..0fa7c4b
--- /dev/null
+++ b/man/hello.Rd
@@ -0,0 +1,12 @@
+\name{hello}
+\alias{hello}
+\title{Hello, World!}
+\usage{
+hello()
+}
+\description{
+Prints 'Hello, world!'.
+}
+\examples{
+hello()
+}
diff --git a/man/ht_theme_kable.Rd b/man/ht_theme_kable.Rd
new file mode 100644
index 0000000..38d9569
--- /dev/null
+++ b/man/ht_theme_kable.Rd
@@ -0,0 +1,32 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ht_theme_kable}
+\alias{ht_theme_kable}
+\title{A kable-esque theme for huxtable object}
+\usage{
+ht_theme_kable(
+  ht,
+  header_rows = 1:2,
+  header_cols = NULL,
+  border_width = 1,
+  border_color = "#dddddd",
+  bg = c("white", "#f9f9f9")
+)
+}
+\arguments{
+\item{ht}{an object of class huxtable}
+
+\item{header_rows}{a numeric vector that delimits the header zone.}
+
+\item{border_width}{a number that defines huxtable border width}
+
+\item{border_color}{a character string that defines huxtable border color}
+
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
+}
+\value{
+an object of class huxtable
+}
+\description{
+This function provides a kable-esque theme for huxtable object
+}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
new file mode 100644
index 0000000..a66434f
--- /dev/null
+++ b/man/ht_theme_markdown.Rd
@@ -0,0 +1,32 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ht_theme_markdown}
+\alias{ht_theme_markdown}
+\title{A stripe theme for huxtable object}
+\usage{
+ht_theme_markdown(
+  ht,
+  header_rows = 1:2,
+  header_cols = NULL,
+  border_width = 0.8,
+  border_color = grey(0.75),
+  bg = c(grey(0.95), "white")
+)
+}
+\arguments{
+\item{ht}{an object of class huxtable}
+
+\item{header_rows}{a numeric vector that delimits the header zone.}
+
+\item{border_width}{a number that defines huxtable border width}
+
+\item{border_color}{a character string that defines huxtable border color}
+
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
+}
+\value{
+an object of class huxtable
+}
+\description{
+This function provides a stripped theme for huxtable object
+}
diff --git a/man/import.info.Rd b/man/import.info.Rd
new file mode 100644
index 0000000..f24e849
--- /dev/null
+++ b/man/import.info.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/OUCRU_data_dictionary.R
+\name{import.info}
+\alias{import.info}
+\title{Import OUCRU's data dictionary into R}
+\usage{
+import.info(table_name, input, output)
+}
+\arguments{
+\item{table_name}{a character vector specifies names of Excel sheets (in OUCRU's data dictionary) to be imported.}
+
+\item{input}{a character value specifies path to the OUCRU's data dictionary file (in Excel format).}
+
+\item{output}{a character value specifies where to save imported data.}
+}
+\value{
+Nothing (imported data will be saved in the pre-defined output directory)
+}
+\description{
+A function to import OUCRU's data dictionary into R.
+}
diff --git a/man/inspect.data.Rd b/man/inspect.data.Rd
new file mode 100644
index 0000000..e4ec4ea
--- /dev/null
+++ b/man/inspect.data.Rd
@@ -0,0 +1,37 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/checking.R
+\name{inspect.data}
+\alias{inspect.data}
+\title{Check formatted data based on a pre-defined information}
+\usage{
+inspect.data(
+  data,
+  info,
+  id,
+  check_missing = c(TRUE, FALSE),
+  plot = FALSE,
+  prefix = "",
+  outdir
+)
+}
+\arguments{
+\item{data}{a formatted data frame to be checked.}
+
+\item{info}{a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable), condition (character variable specifies conditional checking), strict (a character variable [Yes, No] specifies whether missing data should be checked for each variable).}
+
+\item{id}{a character specifies name of subject id variable.}
+
+\item{check_missing}{a logical value specifies whether missing data should be checked.}
+
+\item{plot}{a logical value specifies whether plot (bar plot for categorical variables, boxplot for continuous variables) should be produced.}
+
+\item{prefix}{a character to be appended as prefix of all output files.}
+
+\item{outdir}{a character specifies where to save output files.}
+}
+\value{
+A data frame lists all identified potential data errors.
+}
+\description{
+A function to check a formatted data frame based on a pre-defined information.
+}
diff --git a/man/labAE.Rd b/man/labAE.Rd
new file mode 100644
index 0000000..229dc98
--- /dev/null
+++ b/man/labAE.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/labAE.R
+\name{labAE}
+\alias{labAE}
+\title{Identify new lab adverse event to report}
+\usage{
+labAE(data, gradecut)
+}
+\arguments{
+\item{data}{a numeric vector of consecutive lab adverse event grade.}
+
+\item{gradecut}{a grade threshold to report.}
+}
+\value{
+A factor specifies whether new lab adverse event to report is identified or not.
+}
+\description{
+A function to identify new lab adverse event to report from a vector of consecutive lab adverse event grade.
+}
diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
new file mode 100644
index 0000000..be42e09
--- /dev/null
+++ b/man/logist_summary.Rd
@@ -0,0 +1,49 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logist_summary.R
+\name{logist_summary}
+\alias{logist_summary}
+\title{An alternative summary for a logistic model with OR, CI, and p-values}
+\usage{
+logist_summary(
+  fit,
+  method = c("lik.ratio", "wald"),
+  stat_digits = 2,
+  p_digits = 4,
+  verbose = FALSE,
+  sstable = FALSE,
+  flextable = FALSE,
+  ...
+)
+}
+\arguments{
+\item{fit}{a logistic regression model of class "glm"}
+
+\item{method}{a string whose value is either
+"lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+or "wald" for CI and tests based on Wald statistics}
+
+\item{stat_digits}{Number of decimal digits for statistics}
+
+\item{p_digits}{Number of decimal digits for the p-values}
+
+\item{verbose}{logical value specifying whether to print out result and notation. Default is FALSE}
+
+\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE}
+
+\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
+Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}}
+
+\item{...}{additional params passed to \link{ss_flextable}}
+}
+\value{
+A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
+}
+\description{
+a function to create summary table for glm logistic model
+}
+\seealso{
+\link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
+}
+\author{
+Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
+}
diff --git a/man/mutate_f.Rd b/man/mutate_f.Rd
new file mode 100644
index 0000000..0e679f6
--- /dev/null
+++ b/man/mutate_f.Rd
@@ -0,0 +1,41 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/func_mult.R
+\name{mutate_f}
+\alias{mutate_f}
+\alias{mutate_f.data.table}
+\alias{mutate_f.tbl}
+\alias{mutate_f.grouped_df}
+\alias{mutate_f.data.frame}
+\title{Create or transform variables, with support for multiple assignment}
+\usage{
+mutate_f(.data, ...)
+
+\method{mutate_f}{data.table}(.data, ...)
+
+\method{mutate_f}{tbl}(.data, ...)
+
+\method{mutate_f}{grouped_df}(.data, ...)
+
+\method{mutate_f}{data.frame}(.data, ...)
+}
+\arguments{
+\item{.data}{A data.frame, data.table, or tbl}
+
+\item{...}{Name-value pairs of expressions, following data.table syntax: "new_col" := expression.
+Multiple assignments can be done via c("new_col1", "new_col2") := expression_returning_a_list.
+
+If unnamed, names of each list elements will be used}
+}
+\value{
+a data.frame, data.table, or a tbl
+}
+\description{
+A function to create new variable(s) based on existing ones.
+}
+\examples{
+df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
+
+df \%>\%
+dplyr::group_by(foo) \%>\%
+mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
+}
diff --git a/man/myformat.data.Rd b/man/myformat.data.Rd
new file mode 100644
index 0000000..3306bc6
--- /dev/null
+++ b/man/myformat.data.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/formating.R
+\name{myformat.data}
+\alias{myformat.data}
+\title{Format data based on pre-defined information}
+\usage{
+myformat.data(data, info)
+}
+\arguments{
+\item{data}{a data frame contains variables to be formatted}
+
+\item{info}{a data frame specifies how variables will be formatted. This data frame should have the following columns: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), value (character variable specifies values of each variable [format of datetime variables/values of categorical variables], levels (character variable specifies order of levels of each categorical variable), missing (character variable specifies coding for missing values for each variable).}
+}
+\value{
+a data frame with variables are formatted according information specified in info
+}
+\description{
+A function to format each variable in data frame based on pre-defined information.
+}
diff --git a/man/pct.Rd b/man/pct.Rd
new file mode 100644
index 0000000..9de98b5
--- /dev/null
+++ b/man/pct.Rd
@@ -0,0 +1,33 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/toolkits.R
+\name{pct}
+\alias{pct}
+\title{Get the proportion for each level or range of a vector}
+\usage{
+pct(x, method = c("auto", "bin", "cont", "fct"), na.rm = TRUE, ...)
+}
+\arguments{
+\item{x}{An object}
+
+\item{method}{A method to calculate the percentage.
+Default is 'auto' which will attempt to choose the most fit method.
+'bin' is only meaningful for vector that only has to values.
+'fct' is meaningful for descrete variable
+'cont' is used for continuous variables. This will break the variable into several ranges
+depended on the breaks specified in ...}
+
+\item{na.rm}{A logical value deciding whether NA should be removed}
+
+\item{...}{Break points to cut the continuous variables into ranges. These are passed to function cut.
+See \link{cut}}
+}
+\value{
+If method == 'bin': the percentage of non-reference level
+
+If method == 'fct': the percentages of all levels
+
+If method == 'cont': the percentages of all ranges based on specified breaks
+}
+\description{
+A function to calculate the proportion of each value range
+}
diff --git a/man/print.logist_summary.Rd b/man/print.logist_summary.Rd
new file mode 100644
index 0000000..e83fd26
--- /dev/null
+++ b/man/print.logist_summary.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logist_summary.R
+\name{print.logist_summary}
+\alias{print.logist_summary}
+\title{Print method for logist_summary}
+\usage{
+\method{print}{logist_summary}(x, ...)
+}
+\arguments{
+\item{x}{an object of class logist_summary}
+
+\item{...}{additional params passed to print.data.frame}
+}
+\value{
+invisibly return itself
+}
+\description{
+Print method for logist_summary table
+}
+\seealso{
+\link{print.data.frame}
+}
diff --git a/man/ref_lv.Rd b/man/ref_lv.Rd
new file mode 100644
index 0000000..615f1c3
--- /dev/null
+++ b/man/ref_lv.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/toolkits.R
+\name{ref_lv}
+\alias{ref_lv}
+\alias{ref_lv.factor}
+\alias{ref_lv<-}
+\alias{ref_lv<-.factor}
+\title{Get or set the reference level}
+\usage{
+ref_lv(x)
+
+\method{ref_lv}{factor}(x)
+
+ref_lv(x) <- value
+
+\method{ref_lv}{factor}(x) <- value
+}
+\arguments{
+\item{x}{A factor}
+
+\item{value}{An existing level to be set as reference}
+}
+\value{
+A character object the represents the reference level
+}
+\description{
+A function to quickly get or set the reference level of a factor
+}
diff --git a/man/simple_recode.Rd b/man/simple_recode.Rd
new file mode 100644
index 0000000..923cea8
--- /dev/null
+++ b/man/simple_recode.Rd
@@ -0,0 +1,62 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/toolkits.R
+\name{simple_recode}
+\alias{simple_recode}
+\alias{simple_recode.data.frame}
+\alias{recode_var}
+\alias{var_recode}
+\alias{simple_recode.default}
+\title{Do a simple recode via pattern for data}
+\usage{
+simple_recode(...)
+
+\method{simple_recode}{data.frame}(.data, ..., ignore.case = FALSE, fixed = FALSE, perl = TRUE)
+
+\method{simple_recode}{default}(
+  x,
+  map,
+  as = c("as_is", "numeric", "factor", "character", "logical"),
+  ignore.case = FALSE,
+  fixed = FALSE,
+  perl = TRUE,
+  ...
+)
+}
+\arguments{
+\item{...}{For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
+
+For default method: Additional parameters passed to factor()}
+
+\item{.data}{A data frame to modify}
+
+\item{ignore.case, perl}{Parameters passed to gsub().}
+
+\item{perl}{Are patterns follow the Perl-style regular expression.}
+
+\item{x}{a vector}
+
+\item{map}{A map.
+
+Map can be a list in the form of recoded_text = c(to_be_recoded_text)
+
+Or as a data frame having 2 columns named "from" and "to".}
+
+\item{as}{A character string defining the post-recoded data type of x. Default is keeping as-is.}
+
+\item{ignore.case}{Specify whether the pattern is case-insensitive. Default is FALSE (case sensitive)}
+}
+\value{
+A data frame with recoded variables.
+
+If input is a vector, return a vector of the same length.
+
+If input is a data frame, return a data frame with relevant variables recoded.
+}
+\description{
+A function to re-encode data by using a map. Patterns are accepted. Unmentioned data are left intact.
+
+Method for class data.frame supports a robust replacement for data by providing relevant map in the form of var = map.
+}
+\seealso{
+\link{regex} \link{case_when}
+}
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
new file mode 100644
index 0000000..28b62d1
--- /dev/null
+++ b/man/simple_relevel.Rd
@@ -0,0 +1,42 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/simple_relevel.R
+\name{simple_relevel}
+\alias{simple_relevel}
+\alias{simple_relevel.data.frame}
+\alias{simple_relevel.default}
+\title{Relevel in correspondence to another factor}
+\usage{
+simple_relevel(x, ...)
+
+\method{simple_relevel}{data.frame}(data, ..., by)
+
+\method{simple_relevel}{default}(x, by, map, value = c("unsorted", "sorted", "levels"))
+}
+\arguments{
+\item{x}{a vector that will be relevelled}
+
+\item{...}{Unquoted variable names that will be relevelled}
+
+\item{data}{A data.frame}
+
+\item{by}{a vector that the relevelling process will base on}
+
+\item{map}{a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
+or a data.frame with two columns "from" and "to" serving the same purpose.}
+
+\item{value}{a string: whether to return
+
+- "levels": new levels only
+
+- "unsorted" (default): an unsorted, relevelled factor
+
+- "sorted": a sorted, relevelled factor}
+}
+\value{
+An object of the same class as the input
+
+A factor or a numeric vector of order
+}
+\description{
+Function to relevel a variable in accordance to a another variable of class "factor".
+}
diff --git a/man/simple_sort.Rd b/man/simple_sort.Rd
new file mode 100644
index 0000000..17670eb
--- /dev/null
+++ b/man/simple_sort.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/simple_relevel.R
+\name{simple_sort}
+\alias{simple_sort}
+\title{Sort a vector in a user-defined order}
+\usage{
+simple_sort(x, order = levels(as.factor(x)))
+}
+\arguments{
+\item{x}{A vector to be sorted}
+
+\item{order}{A manually defined order vector}
+}
+\value{
+A vector
+}
+\description{
+A function to sort a vector i an user-defined order
+}
diff --git a/man/ss_body.Rd b/man/ss_body.Rd
new file mode 100644
index 0000000..532efa7
--- /dev/null
+++ b/man/ss_body.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_body}
+\alias{ss_body}
+\title{Designation of body part for custom sstable}
+\usage{
+ss_body(sstable, rows)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{rows}{a numeric vector}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the designated rows as body part of a sstable
+}
diff --git a/man/ss_flextable.Rd b/man/ss_flextable.Rd
new file mode 100644
index 0000000..3e08984
--- /dev/null
+++ b/man/ss_flextable.Rd
@@ -0,0 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_flextable}
+\alias{ss_flextable}
+\alias{ss_flextable.list}
+\alias{ss_flextable.default}
+\title{Create summary table using flextable package.}
+\usage{
+ss_flextable(sstable, ...)
+
+\method{ss_flextable}{list}(sstable, add_footer = NULL, ...)
+
+\method{ss_flextable}{default}(sstable, footer = NULL, bg = "#F2EFEE", ...)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
+
+\item{add_footer}{additional footer lines to be appended to object footers}
+
+\item{footer}{a character vector each of which is the footnote of the flextable}
+
+\item{bg}{a character string that defines stripped background color of the flextable}
+}
+\value{
+an object of class flextable
+}
+\description{
+This function generate a flextable from a sstable.
+}
+\seealso{
+\link[flextable]{flextable}
+}
diff --git a/man/ss_format.Rd b/man/ss_format.Rd
new file mode 100644
index 0000000..0c9fac5
--- /dev/null
+++ b/man/ss_format.Rd
@@ -0,0 +1,36 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_format}
+\alias{ss_format}
+\title{Quick format a sstable in preparation for create flextable/huxtable}
+\usage{
+ss_format(
+  sstable,
+  header = c(),
+  section = c(),
+  body = c(),
+  template = c("baseline", "survcomp", "ae"),
+  .guess = TRUE
+)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{header}{a numeric vector that will be passed to ss_header}
+
+\item{section}{a numeric vector that will be passed to ss_section}
+
+\item{body}{a numeric vector that will be passed to ss_body}
+
+\item{template}{An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+
+If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
+
+\item{.guess}{a logical value. If TRUE, the function will try to get each row belongs to which part.}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function is the combination of ss_header, ss_body, and ss_section.
+}
diff --git a/man/ss_header.Rd b/man/ss_header.Rd
new file mode 100644
index 0000000..8d1880b
--- /dev/null
+++ b/man/ss_header.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_header}
+\alias{ss_header}
+\title{Designation of header rows for custom sstable}
+\usage{
+ss_header(sstable, rows)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{rows}{a numeric vector}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the designated rows as header rows of a sstable
+}
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
new file mode 100644
index 0000000..6af4387
--- /dev/null
+++ b/man/ss_huxtable.Rd
@@ -0,0 +1,61 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_huxtable}
+\alias{ss_huxtable}
+\alias{ss_huxtable.list}
+\alias{ss_huxtable.default}
+\title{Create summary table using huxtable package.}
+\usage{
+ss_huxtable(sstable, ...)
+
+\method{ss_huxtable}{list}(sstable, add_footer = NULL, ...)
+
+\method{ss_huxtable}{default}(
+  sstable,
+  footer = NULL,
+  caption = NULL,
+  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright", "bottomleft",
+    "bottomcenter", "bottomright"),
+  bg = c(grey(0.95), "white"),
+  border_width = 0.8,
+  border_color = grey(0.75),
+  wrap = FALSE,
+  ...
+)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{...}{additional parameters that will be passed to ss_format if the sstable has yet to be formatted.}
+
+\item{add_footer}{additional footer lines to be appended to object footers}
+
+\item{footer}{a character vector each of which is the footnote of the flextable}
+
+\item{caption}{a string containing table caption. Default is NULL}
+
+\item{caption_pos}{A length-one character vector,
+one of "top", "bottom", "topleft", "topcenter", "topright", "bottomleft", "bottomcenter", "bottomright".
+Default is "bottomcenter".
+
+See also \link[huxtable]{caption_pos}}
+
+\item{bg}{a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.}
+
+\item{border_width}{a number that defines huxtable border width}
+
+\item{border_color}{a character string that defines huxtable border color}
+
+\item{wrap}{a logical value. Default is FALSE. If TRUE, long texts would be wrapped, long lines would be broken.
+This applies to the whole table. Please use huxtable::set_wrap instead if you want a cell-wise approach.
+See also \link[huxtable]{wrap}}
+}
+\value{
+an object of class huxtable
+}
+\description{
+This function generate a huxtable from a sstable.
+}
+\seealso{
+\link[huxtable]{huxtable}
+}
diff --git a/man/ss_section.Rd b/man/ss_section.Rd
new file mode 100644
index 0000000..3ac6654
--- /dev/null
+++ b/man/ss_section.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_section}
+\alias{ss_section}
+\title{Designation of section title rows for custom sstable}
+\usage{
+ss_section(sstable, rows)
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{rows}{a numeric vector}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the designated rows as section title rows of an sstable
+}
diff --git a/man/ss_template.Rd b/man/ss_template.Rd
new file mode 100644
index 0000000..0f95b83
--- /dev/null
+++ b/man/ss_template.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ss_template}
+\alias{ss_template}
+\title{Set template for sstable}
+\usage{
+ss_template(sstable, template = c("baseline", "survcomp", "ae"))
+}
+\arguments{
+\item{sstable}{a data frame following sstable's grammar}
+
+\item{template}{An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
+
+If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
+}
+\value{
+a matrix of class ss_tbl
+}
+\description{
+This function set the template for sstable
+}
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
new file mode 100644
index 0000000..1f44070
--- /dev/null
+++ b/man/sstable.ae.Rd
@@ -0,0 +1,87 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sstable.R
+\name{sstable.ae}
+\alias{sstable.ae}
+\title{Create an adverse event summary table}
+\usage{
+sstable.ae(
+  ae_data,
+  fullid_data,
+  group_data = NULL,
+  id.var,
+  aetype.var,
+  grade.var = NULL,
+  group.var = NULL,
+  arm.var,
+  sort.by,
+  digits = 0,
+  test = TRUE,
+  pdigits = 3,
+  pcutoff = 0.001,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE"
+)
+}
+\arguments{
+\item{ae_data}{a data frame contains adverse event data.}
+
+\item{fullid_data}{a data frame contains treatment arm data of all participants (not just those had adverse event).}
+
+\item{group_data}{a reference data frame contains the group name of each ae.}
+
+\item{id.var}{a character specifies name of study id variable (exists in both adverse event data and treatment arm data).}
+
+\item{aetype.var}{a character specifies name of adverse event type variable (exists in adverse event data).}
+
+\item{grade.var}{a character specifies name of adverse event grade variable (exists in adverse event data).}
+
+\item{group.var}{a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).}
+
+\item{arm.var}{a character specifies name of treatment arm variable (exists in treatment arm data).}
+
+\item{sort.by}{An unquoted formula of sorting options.
+
+Available options are `ep`, `pt`, `p`, or a combination of them (eg ep+pt-p);
+A minus sign indicates a descending order.}
+
+\item{digits}{a number specifies number of significant digits for numeric statistics.}
+
+\item{test}{a logical value specifies whether a statistical test will be performed to compare between treatment arms.}
+
+\item{pdigits}{a number specifies number of significant digits for p value.}
+
+\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+
+\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+
+Be aware that even when chisq.test==TRUE, if expected values are < 1, the later test will take over.}
+
+\item{correct}{a parameter for chisq.test().}
+
+\item{simulate.p.value}{a parameter for chisq.test() and fisher.test().}
+
+\item{B}{a parameter for chisq.test() and fisher.test().}
+
+\item{workspace}{a parameter for fisher.test().}
+
+\item{hybrid}{a parameter for fisher.test().}
+
+\item{footer}{a vector of strings to be used as footnote of table.}
+
+\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+
+\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+}
+\value{
+a flextable-type table or a list with values/headers/footers
+}
+\description{
+A function to create a simple adverse event summary table.
+}
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
new file mode 100644
index 0000000..1860d67
--- /dev/null
+++ b/man/sstable.baseline.Rd
@@ -0,0 +1,77 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sstable.R
+\name{sstable.baseline}
+\alias{sstable.baseline}
+\title{Create baseline table}
+\usage{
+sstable.baseline(
+  formula,
+  data,
+  bycol = TRUE,
+  pooledGroup = FALSE,
+  keepEmptyGroup = FALSE,
+  statistics = "med.IQR",
+  continuous = NA,
+  fullfreq = TRUE,
+  digits = 1,
+  test = FALSE,
+  pdigits = 3,
+  pcutoff = 1e-04,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = FALSE,
+  bg = "#F2EFEE"
+)
+}
+\arguments{
+\item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.}
+
+\item{data}{a data frame to derive baseline table from.}
+
+\item{bycol}{a logical value specifies whether the summary will be by column or by row.}
+
+\item{pooledGroup}{a logical value specifies whether to pool all subgroups of column variable.}
+
+\item{keepEmptyGroup}{a logical value specifying whether should keep empty groups}
+
+\item{statistics}{a character specifies summary statistics for continuous row variables.}
+
+\item{continuous}{a logical vector specifies whether each row variables is continuous or categorical.}
+
+\item{digits}{a number specifies number of significant digits for numeric statistics.}
+
+\item{test}{a logical value specifies whether a statistical test will be performed to compare between treatment arms.}
+
+\item{pdigits}{a number specifies number of significant digits for p value.}
+
+\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+
+\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.}
+
+\item{correct}{a parameter for chisq.test().}
+
+\item{simulate.p.value}{a parameter for chisq.test() and fisher.test().}
+
+\item{B}{a parameter for chisq.test() and fisher.test().}
+
+\item{workspace}{a parameter for fisher.test().}
+
+\item{hybrid}{a parameter for fisher.test().}
+
+\item{footer}{a vector of strings to be used as footnote of table.}
+
+\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+
+\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+}
+\value{
+a flextable-type table or a list with values/headers/footers
+}
+\description{
+A function to create a simple summary baseline table.
+}
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
new file mode 100644
index 0000000..2b37e47
--- /dev/null
+++ b/man/sstable.survcomp.Rd
@@ -0,0 +1,52 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sstable.R
+\name{sstable.survcomp}
+\alias{sstable.survcomp}
+\title{Summarize results for a Cox survival model with the treatment arm as the main covariate}
+\usage{
+sstable.survcomp(
+  model,
+  data,
+  add.risk = TRUE,
+  add.prop.haz.test = TRUE,
+  medsum = TRUE,
+  digits = 2,
+  pdigits = 3,
+  pcutoff = 0.001,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE"
+)
+}
+\arguments{
+\item{model}{a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.}
+
+\item{data}{a data frame to fir the Cox survival model.}
+
+\item{add.risk}{a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
+
+\item{add.prop.haz.test}{a logical value specifies whether a test for proportional hazards should be added.}
+
+\item{medsum}{a logical value specifies whether median (IQR) of time to event should be described.}
+
+\item{digits}{a number specifies number of significant digits for numeric statistics.}
+
+\item{pdigits}{a number specifies number of significant digits for p value.}
+
+\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+
+\item{footer}{a vector of strings to be used as footnote of table.}
+
+\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+
+\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+}
+\value{
+a flextable-type table or a list with values/headers/footers
+}
+\description{
+A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate
+}
+\author{
+This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+}
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
new file mode 100644
index 0000000..c1e110e
--- /dev/null
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -0,0 +1,49 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sstable.R
+\name{sstable.survcomp.subgroup}
+\alias{sstable.survcomp.subgroup}
+\title{Summarize results for a Cox survival model by treatment arm and subgroup}
+\usage{
+sstable.survcomp.subgroup(
+  base.model,
+  subgroup.model,
+  data,
+  digits = 2,
+  pdigits = 3,
+  pcutoff = 0.001,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE",
+  ...
+)
+}
+\arguments{
+\item{base.model}{a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).}
+
+\item{subgroup.model}{a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).}
+
+\item{data}{a data frame to fir the Cox survival model.}
+
+\item{digits}{a number specifies number of significant digits for numeric statistics.}
+
+\item{pdigits}{a number specifies number of significant digits for p value.}
+
+\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+
+\item{footer}{a vector of strings to be used as footnote of table.}
+
+\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+
+\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+
+\item{...}{arguments that are passed to sstable.survcomp.}
+}
+\value{
+a flextable-type table or a list with values/headers/footers
+}
+\description{
+A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.
+}
+\author{
+This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+}
diff --git a/man/subgroup_effect.Rd b/man/subgroup_effect.Rd
new file mode 100644
index 0000000..28a910f
--- /dev/null
+++ b/man/subgroup_effect.Rd
@@ -0,0 +1,53 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/group_effect.R
+\name{subgroup_effect}
+\alias{subgroup_effect}
+\title{Calculation of covariable effects within each value of another covariable that has interaction}
+\usage{
+subgroup_effect(
+  formula,
+  model,
+  method = c("lik.ratio", "wald"),
+  stat_digits = 2,
+  p_digits = 4,
+  sstable = FALSE,
+  flextable = FALSE,
+  simplify = TRUE
+)
+}
+\arguments{
+\item{formula}{A formula in the the form of A + B ~ X, where
+
+- X is the covariable to be concerned. X must be of type factor.
+- A, B are the covarables having interaction with X whose effects will be calculated.
+If . or blank. All covariables having interaction with X would be included.}
+
+\item{model}{A fitted glm model}
+
+\item{method}{a string whose value is either
+"lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
+or "wald" for CI and tests based on Wald statistics}
+
+\item{stat_digits}{Number of decimal digits for statistics}
+
+\item{p_digits}{Number of decimal digits for the p-values}
+
+\item{sstable}{logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE}
+
+\item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.}
+
+\item{simplify}{by default, if there is only one variable on each side of the formula and
+no LHS is a binary, then the function will combine tables in each state of X to one.
+Set to FALSE to avoid this behaviour.}
+}
+\value{
+Under certain circumstances defined in param simplify, a flextable, an sstable,
+a data.frame of class 'subgroup_logist_summary',
+or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
+}
+\description{
+This function calculate the OR, CI, an p.value within each value of specified covariable.
+}
+\author{
+Trinh Dong Huu Khanh
+}
diff --git a/man/summarise_f.Rd b/man/summarise_f.Rd
new file mode 100644
index 0000000..6143934
--- /dev/null
+++ b/man/summarise_f.Rd
@@ -0,0 +1,40 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/func_mult.R
+\name{summarise_f}
+\alias{summarise_f}
+\alias{summarise_f.data.frame}
+\alias{summarise_f.data.table}
+\alias{summarise_f.tbl}
+\alias{summarise_f.grouped_df}
+\title{Reduce multiple values by summarisation functions.}
+\usage{
+summarise_f(.data, ...)
+
+\method{summarise_f}{data.frame}(.data, ...)
+
+\method{summarise_f}{data.table}(.data, ...)
+
+\method{summarise_f}{tbl}(.data, ...)
+
+\method{summarise_f}{grouped_df}(.data, ...)
+}
+\arguments{
+\item{.data}{A data.frame, data.table, or tbl}
+
+\item{...}{Summarisation functions.
+Each of which must return a named list, whose names stand for new variables' names.
+Anonymous functions must be wrapped in parentheses.}
+}
+\value{
+a data.frame, data.table, or a tbl
+}
+\description{
+Create variables summarising exisiting variables, by using summarisation function.
+}
+\examples{
+df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
+
+df \%>\%
+dplyr::group_by(foo) \%>\%
+summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
+}
diff --git a/vignettes/data_analysis_pipeline.Rmd b/vignettes/data_analysis_pipeline.Rmd
new file mode 100644
index 0000000..7cb0e57
--- /dev/null
+++ b/vignettes/data_analysis_pipeline.Rmd
@@ -0,0 +1,21 @@
+---
+title: "Data analysis pipeline"
+author: "Lam Phung Khanh"
+date: "`r Sys.Date()`"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Vignette Title}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+```
+
+This vignette summarise one approach to data analysis pipeline and layouts how functions in this package fit to this pipeline.
+
+![](figures/C306.png){width=100%}
diff --git a/vignettes/figures/C306.png b/vignettes/figures/C306.png
new file mode 100644
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diff --git a/vignettes/sstable.Rmd b/vignettes/sstable.Rmd
new file mode 100644
index 0000000..50219ff
--- /dev/null
+++ b/vignettes/sstable.Rmd
@@ -0,0 +1,32 @@
+---
+title: "Simple Summary Table"
+author: "Lam Phung Khanh"
+date: "`r Sys.Date()`"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Vignette Title}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+```
+
+This vignette tries to explain how a formula to supply to function sstable.baseline() can be formulate.
+
+## Basic types of table
+
+A table can be used to display summary information of one or several variables. A specific table can summarize information of variable(s) X(s) on all subjects, by groups of variable Y, or summarize variable Z by variable X and variable Y. There are different ways these summaries statistics can be derived, depending on the existence and type of variables X, Y and Z. Figure 1 below summarizes 4 basic types of table and how to specify them using the sstable.baseline() function in this package:
+
+![_Figure 1. Four basic types of table and the corresponding sstable.baseline() syntax and constraint on existence and type of relevant variables_](figures/sstable1.png){width=90%}
+
+## Basic layouts of table
+
+Figure 2 displays 4 basic layouts of table corresponding to 4 basic table types mentioned in Figure 1:
+
+![_Figure 2. Four basic layouts of table_](figures/sstable2.png){width=90%}
+

From 32e6fb8d1ed1e66a6a17347e09974113c0927e63 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 30 Dec 2019 15:07:04 +0700
Subject: [PATCH 041/193] Add transpose method for subgroup_effect

---
 DESCRIPTION                          |  11 +-
 NAMESPACE                            |   1 +
 R/func_mult.R                        |  18 ++--
 R/group_effect.R                     | 148 +++++++++++++++++----------
 R/ssformat.R                         |   4 +-
 man/hello.Rd                         |  12 ---
 man/ht_theme_markdown.Rd             |   2 +-
 man/mutate_f.Rd                      |   7 +-
 man/print.subgroup_logist_summary.Rd |  22 ++++
 man/ss_format.Rd                     |   2 +-
 man/subgroup_effect.Rd               |  22 +++-
 man/summarise_f.Rd                   |   7 +-
 man/t.subgroup_logist_summary.Rd     |  33 ++++++
 13 files changed, 196 insertions(+), 93 deletions(-)
 delete mode 100644 man/hello.Rd
 create mode 100644 man/print.subgroup_logist_summary.Rd
 create mode 100644 man/t.subgroup_logist_summary.Rd

diff --git a/DESCRIPTION b/DESCRIPTION
index 8703d10..44b5411 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -25,16 +25,19 @@ Description: Collection of useful R codes for data analysis from the Biostatisti
 License: The MIT License (MIT)
 Encoding: UTF-8
 LazyData: true
-Depends: data.table
-Imports: lubridate,
+Depends: 
+    data.table,
+    dplyr
+Imports:
+    lubridate,
     car,
     readxl,
-    dplyr,
     flextable,
     officer,
     survival,
     tidyr,
-    rlang
+    rlang,
+    purrr
 RoxygenNote: 7.0.2
 Suggests: knitr,
     rmarkdown,
diff --git a/NAMESPACE b/NAMESPACE
index 17056e4..c791e43 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -13,6 +13,7 @@ S3method(mutate_f,grouped_df)
 S3method(mutate_f,tbl)
 S3method(print,logist_summary)
 S3method(print,ss_tbl)
+S3method(print,subgroup_logist_summary)
 S3method(ref_lv,factor)
 S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
diff --git a/R/func_mult.R b/R/func_mult.R
index c59f467..abeb1b6 100644
--- a/R/func_mult.R
+++ b/R/func_mult.R
@@ -8,11 +8,10 @@
 #' If unnamed, names of each list elements will be used
 #' @return a data.frame, data.table, or a tbl
 #' @examples
-#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
-#'
+#' df <- data.frame(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
 #' df %>%
-#' dplyr::group_by(foo) %>%
-#' mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
+#'    dplyr::group_by(foo) %>%
+#'    mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
 #' @importFrom data.table :=
 #' @export
 mutate_f <- function(.data, ...){
@@ -31,7 +30,7 @@ mutate_f.data.table <- function(.data, ...){
 #' @export
 mutate_f.tbl <- function(.data, ...){
   dt_out <- mutate_f.data.frame(.data, ...)
-  dt_out <- tibble::as_tibble(dt_out)
+  dt_out <- dplyr::as_tibble(dt_out)
   dt_out
 }
 
@@ -66,11 +65,10 @@ mutate_f.data.frame <- function(.data, ...){
 #'
 #' @return a data.frame, data.table, or a tbl
 #' @examples
-#' df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
-#'
+#' df <- data.frame(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
 #' df %>%
-#' dplyr::group_by(foo) %>%
-#' summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
+#'    dplyr::group_by(foo) %>%
+#'    summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
 #' @importFrom data.table :=
 #' @export
 summarise_f <- summarize_f <- function(.data, ...){
@@ -100,7 +98,7 @@ summarise_f.data.table <- function(.data, ...){
 #' @export
 summarise_f.tbl <- function(.data, ...){
   dt_out <- summarise_f.data.frame(.data, ...)
-  dt_out <- tibble::as_tibble(dt_out)
+  dt_out <- dplyr::as_tibble(dt_out)
   dt_out
 }
 
diff --git a/R/group_effect.R b/R/group_effect.R
index b4c567b..a4dc66f 100644
--- a/R/group_effect.R
+++ b/R/group_effect.R
@@ -7,11 +7,12 @@
 #' - A, B are the covarables having interaction with X whose effects will be calculated.
 #' If . or blank. All covariables having interaction with X would be included.
 #'
-#' @param model A fitted glm model
+#' @param model A fitted glm model or a formula
 #' @param method
 #' a string whose value is either
 #' "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
 #' or "wald" for CI and tests based on Wald statistics
+#' @param transpose logical value, default is FALSE, whether to return a transposed summary. See also \link{t.subgroup_logist_summary}
 #' @param stat_digits  Number of decimal digits for statistics
 #' @param p_digits Number of decimal digits for the p-values
 #' @param simplify by default, if there is only one variable on each side of the formula and
@@ -19,15 +20,37 @@
 #' Set to FALSE to avoid this behaviour.
 #' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
 #' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
+#' @param ... additional params passed to glm to fit "model" (if model is a formula)
 #' @return Under certain circumstances defined in param simplify, a flextable, an sstable,
 #' a data.frame of class 'subgroup_logist_summary',
 #' or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
 #' @author Trinh Dong Huu Khanh
+#' @seealso \link{logist_summary}, \link{print.subgroup_logist_summary}, \link{t.subgroup_logist_summary}
+#' @examples
+#' y = sample(0:1, 1000, replace = T)
+#' x1 = sample(1:100, 1000, replace = T)
+#' x2 = sample(c("A", "B"), 1000, replace = T)
+#' x3 = sample(c("C", "D", "E"), 1000, replace = T)
+#' x4 = sample(c("F", "G"), 1000, replace = T)
+#' fakefit = glm(y ~ x1*x3 + x2*x3 + x2*x4, family = binomial())
+#' C306::subgroup_effect(~x3, fakefit)
 #' @export
-subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), stat_digits=2, p_digits=4, sstable=FALSE, flextable=FALSE, simplify = TRUE)
+subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), transpose = FALSE,
+                            stat_digits = 2, p_digits = 4, sstable = FALSE, flextable = FALSE, simplify = TRUE, ...)
 {
   # browser()
   method <- match.arg(method)
+  if (inherits(model, 'formula')){
+    fml <- model
+    model <- glm(model, ..., family = binomial)
+    model$call$formula <- fml
+  }
+  compatible <- FALSE
+  if (length(model$family)) {
+    if ((model$family$family=='binomial')|(model$family$link=='logit')) compatible <- TRUE
+  }
+  # browser()
+  if (!compatible) stop("This function only works for logistic regression.")
   mf <- model.frame(model)
   all_ia <- ._get_interaction_terms(model)
   base_var <- formula.tools::rhs.vars(formula)
@@ -60,57 +83,19 @@ subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), sta
       est.sv
     })
     if (method == 'lik.ratio'){
-      logLik.full <-logLik(new_model)
-      # browser()
-      ci.lower <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.lower.sv <- suppressMessages(confint(new_model))[iS,1]
-        names(ci.lower.sv) <- colnames(new_mm)[iS]
-        ci.lower.sv
-      })
-      ci.upper <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.upper.sv <- suppressMessages(confint(new_model))[iS,2]
-        names(ci.upper.sv) <- colnames(new_mm)[iS]
-        ci.upper.sv
-      })
-      p <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        p.sv <- sapply(iS, function(i){
-          fit.i <- glm.fit(x = new_mm[, -i], y = y, family = binomial())
-          logLik.i <- logLik(structure(fit.i, class = 'glm'))
-          1 - pchisq(2 * (logLik.full - logLik.i), 1)
-        })
-        names(p.sv) <- colnames(new_mm)[iS]
-        p.sv
-      })
+      logLik.full <- logLik(new_model)
+      ci.p <- sapply(summary_vars, function(sv){
+        ci.p.sv <- ._ci_p_calc(sv, new_mf, new_mm, new_model, wald = FALSE, logLik.full = logLik.full)
+      }, simplify = FALSE)
     } else {
-      ci.lower <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.lower.sv <- suppressMessages(confint.default(new_model))[iS,1]
-        names(ci.lower.sv) <- colnames(new_mm)[iS]
-        ci.lower.sv
-      })
-      ci.upper <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        ci.upper.sv <- suppressMessages(confint.default(new_model))[iS,2]
-        names(ci.upper.sv) <- colnames(new_mm)[iS]
-        ci.upper.sv
-      })
-      ps <- coef(summary(new_model))[, 'Pr(>|z|)']
-      p <- lapply(summary_vars, function(sv){
-        k <- which(names(new_mf) == sv) - 1
-        iS <- which(attr(new_mm, 'assign') == k)
-        p.sv <- ps[iS]
-        p.sv
-      })
+      ci.p <- sapply(summary_vars, function(sv){
+        ci.p.sv <- ._ci_p_calc(sv, new_mf, new_mm, new_model, wald = TRUE)
+      }, simplify = FALSE)
     }
-
+    ci.p.t <- purrr::transpose(ci.p)
+    ci.lower <- ci.p.t$ci.lower.sv
+    ci.upper <- ci.p.t$ci.upper.sv
+    p <- ci.p.t$p.sv
     # browser()
     list(
       log.OR = do.call(c, as.list(unlist(est))),
@@ -134,7 +119,7 @@ subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), sta
   #         switch(method, wald = 'Wald', lik.ratio = 'Likelihood ratio'),
   #         ' test with 95% level of confidence.')
   if (all(sapply(out, nrow) == 1) & simplify){
-    message('- Effect table for ', crayon::green(rownames(out[[1]])))
+    msg <- paste('- Effect table for', crayon::green(rownames(out[[1]])))
     grp <- names(out)
     out <- do.call(rbind, out)
     rownames(out) <- grp
@@ -142,6 +127,7 @@ subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), sta
     class(lgs) <- c('subgroup_logist_summary', class(lgs))
     attr(lgs, 'base_var') <- base_var
     attr(lgs, 'summary_vars') <- summary_vars
+    attr(lgs, 'msg') <- msg
     return(lgs)
   }
   tbl <- structure(sapply(out, ._as_logist_summary,
@@ -152,6 +138,7 @@ subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), sta
             summary_vars = summary_vars)
   if (flextable) sstable <- TRUE
   if (sstable) return(as_sstable.subgroup_logist_summary(tbl, flextable = flextable))
+  if (transpose) return(t(tbl))
   tbl
 }
 
@@ -182,7 +169,40 @@ subgroup_effect <- function(formula, model, method = c('lik.ratio', 'wald'), sta
   x
 }
 
+._ci_p_calc <- function(sv, mf, mm, model, wald, logLik.full = NULL){
+  # browser()
+  y <- model.response(mf)
+  k <- which(names(mf) == sv) - 1
+  iS <- which(attr(mm, 'assign') == k)
+  if (wald){
+    ci <-  suppressMessages(confint.default(model))[iS,,drop = FALSE]
+    ps <- coef(summary(model))[, 'Pr(>|z|)']
+    p.sv <- ps[iS]
+  } else {
+    ci <- suppressMessages(confint(model))[iS,,drop = FALSE]
+    p.sv <- sapply(iS, function(i){
+      fit.i <- glm.fit(x = mm[, -i], y = y, family = binomial())
+      logLik.i <- logLik(structure(fit.i, class = 'glm'))
+      1 - pchisq(2 * (logLik.full - logLik.i), 1)
+    })
+  }
+  ci.lower.sv <- ci[,1]
+  ci.upper.sv <- ci[,2]
+  names(ci.lower.sv) <- colnames(mm)[iS]
+  names(ci.upper.sv) <- colnames(mm)[iS]
+  names(p.sv) <- colnames(mm)[iS]
+  list(ci.lower.sv = ci.lower.sv, ci.upper.sv = ci.upper.sv, p.sv = p.sv)
+}
+
+#' Print method for subgroup_logist_summary
+#' @description Print method for subgroup_logist_summary
+#' @param x an object of class subgroup_logist_summary
+#' @param ... additional params passed to print.data.frame
+#' @return invisibly return itself
+#' @seealso \link{print.data.frame}
+#' @export
 print.subgroup_logist_summary <- function(x, ...){
+  if (length(attr(x, 'msg'))) message(attr(x, 'msg'))
   if (is.data.frame(x)) NextMethod('print')
   else {
     method <- attr(x[[1]], 'method')
@@ -190,7 +210,7 @@ print.subgroup_logist_summary <- function(x, ...){
     cat(crayon::silver('- Method:', switch(method, lik.ratio = 'Likelihood ratio', wald = 'Wald')), '\n')
     cat(crayon::silver('- CIs are calculated at 95% level of confidence.\n\n'))
     for (i in seq_along(x)){
-      name <- paste0(base_var, ' = ', names(x)[i])
+      name <- if (length(base_var)) paste0(base_var, ' = ', names(x)[i]) else names(x)[i]
       this <- cbind(rn = rownames(x[[i]]), x[[i]])
       colnames(this)[[1]] <- name
       print.data.frame(this, row.names = FALSE)
@@ -199,3 +219,25 @@ print.subgroup_logist_summary <- function(x, ...){
   }
   invisible(x)
 }
+
+#' Transpose a subgroup logist summary table
+#' @description A method to transpose logist summary table, rather than stratify by subgroup, it stratifies by covariables.
+#' @param x an object of class subgroup_logist_summary
+#' @return
+#' If x is a simplified subgroup_logist_summary (aka a data.frame), return itself. Otherwise, a transposed list of class subgroup_logist_summary
+#' @seealso \link{t}
+#' @author Trinh Dong Huu Khanh
+#' @examples
+#' y = sample(0:1, 1000, replace = T)
+#' x1 = sample(1:100, 1000, replace = T)
+#' x2 = sample(c("A", "B"), 1000, replace = T)
+#' x3 = sample(c("C", "D", "E"), 1000, replace = T)
+#' x4 = sample(c("F", "G"), 1000, replace = T)
+#' fakefit = glm(y ~ x1*x3 + x2*x3 + x2*x4, family = binomial())
+#' se = C306::subgroup_effect(~x3, fakefit)
+#' t(se)
+t.subgroup_logist_summary <- function(x){
+  if (is.data.frame(x)) return(x)
+  v <- rownames(x[[1]])
+  structure(sapply(v, function(.v) do.call(rbind, lapply(x,`[`,.v,)), simplify = FALSE), class = 'subgroup_logist_summary')
+}
diff --git a/R/ssformat.R b/R/ssformat.R
index 1ba9fff..dcc6e49 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -94,7 +94,7 @@ ss_section <- function(sstable, rows){
 #' An accepted template for sstable: must be either 'baseline', 'survcomp', or 'ae'.
 #'
 #' If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.
-#' @param .guess a logical value. If TRUE, the function will try to get each row belongs to which part.
+#' @param .guess a logical value. If TRUE, the function will try to guess to which part each row belongs.
 #' @return a matrix of class ss_tbl
 #' @export
 ss_format <- function(sstable, header = c(), section = c(), body = c(), template =  c('baseline', 'survcomp', 'ae'), .guess= TRUE){
@@ -445,7 +445,7 @@ ss_huxtable.default <- function(sstable, footer = NULL,
 
 #' A stripe theme for huxtable object
 #'
-#' @description This function provides a stripped theme for huxtable object
+#' @description This function provides a markdown stripe theme for huxtable object
 #' @param ht an object of class huxtable
 #' @param header_rows a numeric vector that delimits the header zone.
 #' @param bg a character vector that defines background color of the flextable. If length(bg) >= 2, the table will have stripe background, otherwise plain.
diff --git a/man/hello.Rd b/man/hello.Rd
deleted file mode 100644
index 0fa7c4b..0000000
--- a/man/hello.Rd
+++ /dev/null
@@ -1,12 +0,0 @@
-\name{hello}
-\alias{hello}
-\title{Hello, World!}
-\usage{
-hello()
-}
-\description{
-Prints 'Hello, world!'.
-}
-\examples{
-hello()
-}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
index a66434f..b4187b9 100644
--- a/man/ht_theme_markdown.Rd
+++ b/man/ht_theme_markdown.Rd
@@ -28,5 +28,5 @@ ht_theme_markdown(
 an object of class huxtable
 }
 \description{
-This function provides a stripped theme for huxtable object
+This function provides a markdown stripe theme for huxtable object
 }
diff --git a/man/mutate_f.Rd b/man/mutate_f.Rd
index 0e679f6..a1da236 100644
--- a/man/mutate_f.Rd
+++ b/man/mutate_f.Rd
@@ -33,9 +33,8 @@ a data.frame, data.table, or a tbl
 A function to create new variable(s) based on existing ones.
 }
 \examples{
-df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
-
+df <- data.frame(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)))
 df \%>\%
-dplyr::group_by(foo) \%>\%
-mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
+   dplyr::group_by(foo) \%>\%
+   mutate_f(c('foo', 'bar') := list(a = cumsum(baz), b = baz*2))
 }
diff --git a/man/print.subgroup_logist_summary.Rd b/man/print.subgroup_logist_summary.Rd
new file mode 100644
index 0000000..5bcbdb3
--- /dev/null
+++ b/man/print.subgroup_logist_summary.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/group_effect.R
+\name{print.subgroup_logist_summary}
+\alias{print.subgroup_logist_summary}
+\title{Print method for subgroup_logist_summary}
+\usage{
+\method{print}{subgroup_logist_summary}(x, ...)
+}
+\arguments{
+\item{x}{an object of class subgroup_logist_summary}
+
+\item{...}{additional params passed to print.data.frame}
+}
+\value{
+invisibly return itself
+}
+\description{
+Print method for subgroup_logist_summary
+}
+\seealso{
+\link{print.data.frame}
+}
diff --git a/man/ss_format.Rd b/man/ss_format.Rd
index 0c9fac5..0951d47 100644
--- a/man/ss_format.Rd
+++ b/man/ss_format.Rd
@@ -26,7 +26,7 @@ ss_format(
 
 If NA, the existing template in the sstable is kept as-is. It no template built-in, will return a no-template sstable instead.}
 
-\item{.guess}{a logical value. If TRUE, the function will try to get each row belongs to which part.}
+\item{.guess}{a logical value. If TRUE, the function will try to guess to which part each row belongs.}
 }
 \value{
 a matrix of class ss_tbl
diff --git a/man/subgroup_effect.Rd b/man/subgroup_effect.Rd
index 28a910f..59a8a83 100644
--- a/man/subgroup_effect.Rd
+++ b/man/subgroup_effect.Rd
@@ -8,11 +8,13 @@ subgroup_effect(
   formula,
   model,
   method = c("lik.ratio", "wald"),
+  transpose = FALSE,
   stat_digits = 2,
   p_digits = 4,
   sstable = FALSE,
   flextable = FALSE,
-  simplify = TRUE
+  simplify = TRUE,
+  ...
 )
 }
 \arguments{
@@ -22,12 +24,14 @@ subgroup_effect(
 - A, B are the covarables having interaction with X whose effects will be calculated.
 If . or blank. All covariables having interaction with X would be included.}
 
-\item{model}{A fitted glm model}
+\item{model}{A fitted glm model or a formula}
 
 \item{method}{a string whose value is either
 "lik.ratio" for CI and tests based on likelihood ratio statistics (preferred)
 or "wald" for CI and tests based on Wald statistics}
 
+\item{transpose}{logical value, default is FALSE, whether to return a transposed summary. See also \link{t.subgroup_logist_summary}}
+
 \item{stat_digits}{Number of decimal digits for statistics}
 
 \item{p_digits}{Number of decimal digits for the p-values}
@@ -39,6 +43,8 @@ or "wald" for CI and tests based on Wald statistics}
 \item{simplify}{by default, if there is only one variable on each side of the formula and
 no LHS is a binary, then the function will combine tables in each state of X to one.
 Set to FALSE to avoid this behaviour.}
+
+\item{...}{additional params passed to glm to fit "model" (if model is a formula)}
 }
 \value{
 Under certain circumstances defined in param simplify, a flextable, an sstable,
@@ -48,6 +54,18 @@ or a 'subgroup_logist_summary'/list of logist_summary, each represents one state
 \description{
 This function calculate the OR, CI, an p.value within each value of specified covariable.
 }
+\examples{
+y = sample(0:1, 1000, replace = T)
+x1 = sample(1:100, 1000, replace = T)
+x2 = sample(c("A", "B"), 1000, replace = T)
+x3 = sample(c("C", "D", "E"), 1000, replace = T)
+x4 = sample(c("F", "G"), 1000, replace = T)
+fakefit = glm(y ~ x1*x3 + x2*x3 + x2*x4, family = binomial())
+C306::subgroup_effect(~x3, fakefit)
+}
+\seealso{
+\link{logist_summary}, \link{print.subgroup_logist_summary}, \link{t.subgroup_logist_summary}
+}
 \author{
 Trinh Dong Huu Khanh
 }
diff --git a/man/summarise_f.Rd b/man/summarise_f.Rd
index 6143934..2359b22 100644
--- a/man/summarise_f.Rd
+++ b/man/summarise_f.Rd
@@ -32,9 +32,8 @@ a data.frame, data.table, or a tbl
 Create variables summarising exisiting variables, by using summarisation function.
 }
 \examples{
-df <- data.table(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
-
+df <- data.frame(baz = 1:10, foo = c(rep(1, 5), rep(2, 5)), bar =4:13)
 df \%>\%
-dplyr::group_by(foo) \%>\%
-summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
+   dplyr::group_by(foo) \%>\%
+   summarise_f((function(baz) list(a = cumsum(baz), b = baz*2))(baz), rangemisc::overlap_collapse(bar, baz))
 }
diff --git a/man/t.subgroup_logist_summary.Rd b/man/t.subgroup_logist_summary.Rd
new file mode 100644
index 0000000..3ce41d3
--- /dev/null
+++ b/man/t.subgroup_logist_summary.Rd
@@ -0,0 +1,33 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/group_effect.R
+\name{t.subgroup_logist_summary}
+\alias{t.subgroup_logist_summary}
+\title{Transpose a subgroup logist summary table}
+\usage{
+\method{t}{subgroup_logist_summary}(x)
+}
+\arguments{
+\item{x}{an object of class subgroup_logist_summary}
+}
+\value{
+If x is a simplified subgroup_logist_summary (aka a data.frame), return itself. Otherwise, a transposed list of class subgroup_logist_summary
+}
+\description{
+A method to transpose logist summary table, rather than stratify by subgroup, it stratifies by covariables.
+}
+\examples{
+y = sample(0:1, 1000, replace = T)
+x1 = sample(1:100, 1000, replace = T)
+x2 = sample(c("A", "B"), 1000, replace = T)
+x3 = sample(c("C", "D", "E"), 1000, replace = T)
+x4 = sample(c("F", "G"), 1000, replace = T)
+fakefit = glm(y ~ x1*x3 + x2*x3 + x2*x4, family = binomial())
+se = C306::subgroup_effect(~x3, fakefit)
+t(se)
+}
+\seealso{
+\link{t}
+}
+\author{
+Trinh Dong Huu Khanh
+}

From 486dd7c367bad1cc8f5883ed6d1cdb11b6284fd8 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Mon, 30 Dec 2019 15:10:37 +0700
Subject: [PATCH 042/193] Edit readme

---
 README.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.Rmd b/README.Rmd
index 53f0540..ea3ef3b 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -22,7 +22,7 @@ You can install C306 from github with:
 
 ```{r gh-installation, eval = FALSE}
 # install.packages("devtools")
-devtools::install_github("lampk/C306")
+devtools::install_github("oucru-biostats/C306")
 ```
 
 ## Website

From a57acbd66e0f4310c48410b77505d6bb74d574b8 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Tue, 31 Dec 2019 10:58:59 +0700
Subject: [PATCH 043/193] Documentation polishment

---
 DESCRIPTION            |  2 +-
 R/func_mult.R          | 12 +++++++++---
 R/group_effect.R       |  2 +-
 R/logist_summary.R     |  2 +-
 R/ssformat.R           |  2 +-
 R/toolkits.R           | 21 ++++++++++++++-------
 man/as_sstable.Rd      |  2 +-
 man/logist_summary.Rd  |  2 +-
 man/pct.Rd             |  2 +-
 man/simple_recode.Rd   |  2 +-
 man/subgroup_effect.Rd |  2 +-
 11 files changed, 32 insertions(+), 19 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 44b5411..cfc7d4d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -19,7 +19,7 @@ Maintainer@R:
             given = 'Biostatistic Group',
             role = "maintainer"
         )
-     )
+    )
 Description: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
     Use four spaces when indenting paragraphs within the Description.
 License: The MIT License (MIT)
diff --git a/R/func_mult.R b/R/func_mult.R
index abeb1b6..a39417a 100644
--- a/R/func_mult.R
+++ b/R/func_mult.R
@@ -46,8 +46,13 @@ mutate_f.grouped_df <- function(.data, ...){
 #' @export
 mutate_f.data.frame <- function(.data, ...){
   group_names <- dplyr::group_vars(.data)
-  if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
-  data_tbl <- data_tbl[, ..., by = group_names]
+  data_tbl <- if (!data.table::is.data.table(.data))data.table::as.data.table(.data) else .data
+  # browser()
+  .dots <- rlang::enexprs(..., .unquote_names = FALSE)
+  for (.dot in .dots){
+    .expr <- rlang::expr(data_tbl[, !!.dot, by = group_names])
+    data_tbl <- rlang::eval_tidy(.expr)
+  }
   new_cols <- names(data_tbl)[!names(data_tbl) %in% union(group_names, names(.data))]
   data_tbl <- cbind(as.data.frame(.data), as.data.frame(data_tbl)[,new_cols])
   data_tbl
@@ -79,7 +84,8 @@ summarise_f <- summarize_f <- function(.data, ...){
 #' @export
 summarise_f.data.frame <- function(.data, ...){
   # browser()
-  .fun <- lapply(rlang::enquos(...), rlang::quo_get_expr)
+  # .fun <- lapply(rlang::enquos(...), rlang::quo_get_expr)
+  .fun <- rlang::enexprs(...)
   group_names <- dplyr::group_vars(.data)
   if (!data.table::is.data.table(.data)) data_tbl <- data.table::as.data.table(.data) else data_tbl <- .data
   expr <- rlang::quo_get_expr(rlang::quo(data_tbl[, c(!!!.fun), by = group_names]))
diff --git a/R/group_effect.R b/R/group_effect.R
index a4dc66f..f411b11 100644
--- a/R/group_effect.R
+++ b/R/group_effect.R
@@ -20,7 +20,7 @@
 #' Set to FALSE to avoid this behaviour.
 #' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
 #' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE.
-#' @param ... additional params passed to glm to fit "model" (if model is a formula)
+#' @param ... additional parameters passed to glm to fit "model" (if model is a formula)
 #' @return Under certain circumstances defined in param simplify, a flextable, an sstable,
 #' a data.frame of class 'subgroup_logist_summary',
 #' or a 'subgroup_logist_summary'/list of logist_summary, each represents one state of X.
diff --git a/R/logist_summary.R b/R/logist_summary.R
index f7e938c..ec45da7 100644
--- a/R/logist_summary.R
+++ b/R/logist_summary.R
@@ -11,7 +11,7 @@
 #' @param sstable logical value specifying whether to return in sstable format. Default is FALSE. Set to TRUE forces verbose to FALSE
 #' @param flextable logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
 #' Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}
-#' @param ... additional params passed to \link{ss_flextable}
+#' @param ... additional parameters passed to \link{ss_flextable}
 #' @author Marcel Wolbers, Lam Phung Khanh, and Trinh Dong Huu Khanh
 #' @seealso \link{ss_format}, \link{ss_huxtable}, \link{ss_flextable}
 #' @return A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
diff --git a/R/ssformat.R b/R/ssformat.R
index dcc6e49..0bab002 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -519,7 +519,7 @@ ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
 #' @param x An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")
 #' @param flextable logical value specifying whether to return a flextable. Default is FALSE
 #' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
-#' @param ... additional param passed to \link{ss_flextable}
+#' @param ... additional parameters passed to \link{ss_flextable}
 #' @return A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
 #' @export
 #'
diff --git a/R/toolkits.R b/R/toolkits.R
index b6c256f..20fb2fb 100644
--- a/R/toolkits.R
+++ b/R/toolkits.R
@@ -17,7 +17,7 @@
 #' @param ignore.case,perl Parameters passed to gsub().
 #' @param .data A data frame to modify
 #' @param ...
-#' For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
+#' For method for data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
 #'
 #' For default method: Additional parameters passed to factor()
 #'
@@ -140,7 +140,7 @@ ref_lv.factor <- function(x){
 #' 'cont' is used for continuous variables. This will break the variable into several ranges
 #' depended on the breaks specified in ...
 #' @param na.rm A logical value deciding whether NA should be removed
-#' @param ... Break points to cut the continuous variables into ranges. These are passed to function cut.
+#' @param ... Additional parameters passed to \link{cut}. Only work if method = 'cont'
 #' See \link{cut}
 #' @return
 #' If method == 'bin': the percentage of non-reference level
@@ -153,11 +153,13 @@ pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
   method <- match.arg(method)
   if (method == 'auto') method <- ._pct_get_method(unlist(x))
 
-  if (method == 'bin' & !is.logical(x)){
+  if (method == 'bin' & !is.logical(x) & !setequal(unique(x), c(0,1))){
     if (length(unique(x)) > 2) stop('Forcing binary method for factor variable is meaningless.')
     if (length(unique(x)) == 1) return(100)
-    warning('Binary method apply to non logical variable. This will calculate the pct of x != ref_lv')
-    x <- x == levels(as.factor(x))[2]
+    if (length(unique(x)) != length(levels(x))) x <- factor(x, levels = unique(x), exclude=NULL)
+    if (all(!is.na(levels(x))))
+      warning('Binary method apply to non logical variable. This will calculate the pct of x != ref_lv')
+    x <- x == levels(x)[2]
   }
 
   res <- switch(method,
@@ -176,7 +178,7 @@ pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
 
 ._pct_bin <- function(x, na.rm = TRUE){
   n <- if (na.rm) sum(!is.na(x)) else length(x)
-  return(sum(x)/n*100)
+  return(sum(x, na.rm = TRUE)/n*100)
 }
 
 ._pct_fct <- function(x, na.rm = TRUE){
@@ -189,6 +191,11 @@ pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
 }
 
 ._pct_cont <- function(x, na.rm = TRUE, ...){
+  if (na.rm) x <- na.omit(x)
   x <- cut(x, ...)
-  pct(x, method = 'auto', na.rm = na.rm)
+  lv <- levels(addNA(as.factor(x), ifany = TRUE))
+  if (any(is.na(lv))) lv <- c(NA, lv[!is.na(lv)])
+  x2 <- factor(x, levels = lv, exclude = NULL)
+  # browser()
+  pct(x2, method = 'auto', na.rm = FALSE)
 }
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
index 64a5a01..48af5f1 100644
--- a/man/as_sstable.Rd
+++ b/man/as_sstable.Rd
@@ -24,7 +24,7 @@ as_sstable(x, ...)
 \arguments{
 \item{x}{An object, usually a named list of length 2 whose names are 'table' and 'footer', or a data.frame/matrix (optionally with attribute "footer")}
 
-\item{...}{additional param passed to \link{ss_flextable}}
+\item{...}{additional parameters passed to \link{ss_flextable}}
 
 \item{flextable}{logical value specifying whether to return a flextable. Default is FALSE}
 
diff --git a/man/logist_summary.Rd b/man/logist_summary.Rd
index be42e09..d080ed2 100644
--- a/man/logist_summary.Rd
+++ b/man/logist_summary.Rd
@@ -33,7 +33,7 @@ or "wald" for CI and tests based on Wald statistics}
 \item{flextable}{logical value specifying whether to build flextable object. Default it FALSE. Set to TRUE forces sstable to TRUE and verbose to FALSE.
 Like other sstable objects, you can still create flextable or huxtable afterwards by using \link{ss_flextable} or \link{ss_huxtable}}
 
-\item{...}{additional params passed to \link{ss_flextable}}
+\item{...}{additional parameters passed to \link{ss_flextable}}
 }
 \value{
 A data frame of additional class "logist_summary" (if sstable == FALSE), a matrix of class c("summary_tbl", "ss_tbl") otherwise
diff --git a/man/pct.Rd b/man/pct.Rd
index 9de98b5..fa82b03 100644
--- a/man/pct.Rd
+++ b/man/pct.Rd
@@ -18,7 +18,7 @@ depended on the breaks specified in ...}
 
 \item{na.rm}{A logical value deciding whether NA should be removed}
 
-\item{...}{Break points to cut the continuous variables into ranges. These are passed to function cut.
+\item{...}{Additional parameters passed to \link{cut}. Only work if method = 'cont'
 See \link{cut}}
 }
 \value{
diff --git a/man/simple_recode.Rd b/man/simple_recode.Rd
index 923cea8..7041d3d 100644
--- a/man/simple_recode.Rd
+++ b/man/simple_recode.Rd
@@ -23,7 +23,7 @@ simple_recode(...)
 )
 }
 \arguments{
-\item{...}{For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
+\item{...}{For method for data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
 
 For default method: Additional parameters passed to factor()}
 
diff --git a/man/subgroup_effect.Rd b/man/subgroup_effect.Rd
index 59a8a83..2ed5358 100644
--- a/man/subgroup_effect.Rd
+++ b/man/subgroup_effect.Rd
@@ -44,7 +44,7 @@ or "wald" for CI and tests based on Wald statistics}
 no LHS is a binary, then the function will combine tables in each state of X to one.
 Set to FALSE to avoid this behaviour.}
 
-\item{...}{additional params passed to glm to fit "model" (if model is a formula)}
+\item{...}{additional parameters passed to glm to fit "model" (if model is a formula)}
 }
 \value{
 Under certain circumstances defined in param simplify, a flextable, an sstable,

From ae205cd8fdbf8da65caf1d2f7b71e6c1fa61ebe5 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 17 Jan 2020 16:58:20 +0700
Subject: [PATCH 044/193] New function gg_boxcox

---
 NAMESPACE        |   5 +++
 R/gg_boxcox.R    | 108 +++++++++++++++++++++++++++++++++++++++++++++++
 man/gg_boxcox.Rd |  36 ++++++++++++++++
 3 files changed, 149 insertions(+)
 create mode 100644 R/gg_boxcox.R
 create mode 100644 man/gg_boxcox.Rd

diff --git a/NAMESPACE b/NAMESPACE
index c791e43..f8395be 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,5 +1,6 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method("[",subgroup_logist_summary)
 S3method("ref_lv<-",factor)
 S3method(as_sstable,default)
 S3method(as_sstable,list)
@@ -7,6 +8,9 @@ S3method(as_sstable,logist_summary)
 S3method(as_sstable,overlap_summary)
 S3method(as_sstable,subgroup_logist_summary)
 S3method(explicit,lm)
+S3method(gg_boxcox,default)
+S3method(gg_boxcox,formula)
+S3method(gg_boxcox,lm)
 S3method(mutate_f,data.frame)
 S3method(mutate_f,data.table)
 S3method(mutate_f,grouped_df)
@@ -34,6 +38,7 @@ export(convert.info)
 export(createProject)
 export(explicit)
 export(getlabel)
+export(gg_boxcox)
 export(ht_theme_kable)
 export(ht_theme_markdown)
 export(import.info)
diff --git a/R/gg_boxcox.R b/R/gg_boxcox.R
new file mode 100644
index 0000000..4a63f0d
--- /dev/null
+++ b/R/gg_boxcox.R
@@ -0,0 +1,108 @@
+#' Compute and draw Box-Cox transformation plot for linear models using ggplot2
+#' @description A forked version of MASS::boxcox using ggplot2
+#' @param object a formula or fitted model object. Currently only lm and aov objects are handled.
+#' @param lambda vector of values of lambda – default (-2, 2) in steps of 0.1
+#' @param interp
+#' logical which controls whether spline interpolation is used. Default to TRUE if plotting with lambda of length less than 100.
+#' @param eps Tolerance for lambda = 0; defaults to 0.02
+#' @param xlab defaults to "lambda"
+#' @param ylab defaults to "log-Likelihood"
+#' @param ... additional parameters to be used in the model fitting.
+#' @return a ggplot object
+#' @seealso \link[MASS]{boxcox}
+#' @examples
+#' gg_boxcox(Volume ~ log(Height) + log(Girth), data = trees,
+#'           lambda = seq(-0.25, 0.25, length = 10))
+#' @export
+gg_boxcox <- function(object,...){
+  UseMethod('gg_boxcox')
+}
+
+#' @export
+gg_boxcox.formula <- function (object, lambda = seq(-2, 2, 1/10),
+          interp = (m < 100), eps = 1/50, xlab = expression(lambda),
+          ylab = "log-Likelihood", ...)
+{
+  m <- length(lambda)
+  object <- lm(object, y = TRUE, qr = TRUE, ...)
+  NextMethod()
+}
+
+#' @export
+gg_boxcox.lm <- function(object, lambda = seq(-2, 2, 1/10),
+                         interp = (m < 100), eps = 1/50, xlab = expression(lambda),
+                         ylab = "log-Likelihood", ...)
+{
+  m <- length(lambda)
+  if (is.null(object$y) || is.null(object$qr))
+    object <- update(object, y = TRUE, qr = TRUE, ...)
+ NextMethod()
+}
+
+#' @export
+gg_boxcox.default <- function (object, lambda = seq(-2, 2, 1/10),
+                       interp = (m < 100), eps = 1/50, xlab = expression(lambda),
+                       ylab = "log-Likelihood", ...)
+{
+  object <- lm(object, y = TRUE, qr = TRUE, ...)
+  # if (is.null(object$y) || is.null(object$qr))
+  #   object <- update(object, y = TRUE, qr = TRUE, ...)
+  y <- object$y
+  xqr <- object$qr
+  if (any(y <= 0))
+    stop("response variable must be positive")
+  n <- length(y)
+  y <- y/exp(mean(log(y)))
+  logy <- log(y)
+  xl <- loglik <- as.vector(lambda)
+  m <- length(xl)
+  for (i in 1L:m) {
+    if (abs(la <- xl[i]) > eps)
+      yt <- (y^la - 1)/la
+    else yt <- logy * (1 + (la * logy)/2 * (1 + (la * logy)/3 *
+                                              (1 + (la * logy)/4)))
+    loglik[i] <- -n/2 * log(sum(qr.resid(xqr, yt)^2))
+  }
+  if (interp) {
+    sp <- spline(xl, loglik, n = 100)
+    xl <- sp$x
+    loglik <- sp$y
+    m <- length(xl)
+  }
+  mx <- (1L:m)[loglik == max(loglik)][1L]
+  Lmax <- loglik[mx]
+  lim <- Lmax - qchisq(19/20, 1)/2
+  plims <- par("usr")
+  y0 <- plims[3L]
+  plt <-
+    ggplot2::ggplot()+
+    ggplot2::geom_line(mapping = ggplot2::aes(x = xl, y = loglik), size=.5, color = grey(0.1))+
+    ggplot2::labs(x = xlab, y = ylab)+
+    ggplot2::geom_hline(ggplot2::aes(yintercept = lim), linetype = 'dashed')+
+    ggplot2::geom_text(ggplot2::aes(x=min(lambda),y=lim, label='95%'), hjust='left', vjust='bottom')+
+    ggplot2::ylim(min(loglik, lim), max(loglik, lim))
+  la <- xl[mx]
+  # browser()
+  if (mx > 1 && mx < m)
+    plt <- plt+
+    ggplot2::geom_segment(ggplot2::aes(x=la, y=min(loglik), xend=la, yend=Lmax), linetype='dashed', color='red', size=.5)+
+    ggplot2::geom_text(ggplot2::aes(x=la,y=min(loglik),label=round(la,digits = 2)),color='red',vjust='top',
+              hjust='center')
+  ind <- range((1L:m)[loglik > lim])
+  if (loglik[1L] < lim) {
+    i <- ind[1L]
+    x <- xl[i - 1] + ((lim - loglik[i - 1]) * (xl[i] -
+                                                 xl[i - 1]))/(loglik[i] - loglik[i - 1])
+    plt <- plt+
+      ggplot2::geom_segment(ggplot2::aes(x=x, y=min(loglik), xend=x, yend=lim), linetype='dashed', color=grey(.5), size=.5)
+  }
+  if (loglik[m] < lim) {
+    i <- ind[2L] + 1
+    x <- xl[i - 1] + ((lim - loglik[i - 1]) * (xl[i] -
+                                                 xl[i - 1]))/(loglik[i] - loglik[i - 1])
+    plt <- plt+
+      ggplot2::geom_segment(ggplot2::aes(x=x, y=min(loglik), xend=x, yend=lim), linetype='dashed', color=grey(.5), size=.5)
+  }
+  plt
+}
+
diff --git a/man/gg_boxcox.Rd b/man/gg_boxcox.Rd
new file mode 100644
index 0000000..e519780
--- /dev/null
+++ b/man/gg_boxcox.Rd
@@ -0,0 +1,36 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_boxcox.R
+\name{gg_boxcox}
+\alias{gg_boxcox}
+\title{Compute and draw Box-Cox transformation plot for linear models using ggplot2}
+\usage{
+gg_boxcox(object, ...)
+}
+\arguments{
+\item{object}{a formula or fitted model object. Currently only lm and aov objects are handled.}
+
+\item{...}{additional parameters to be used in the model fitting.}
+
+\item{lambda}{vector of values of lambda – default (-2, 2) in steps of 0.1}
+
+\item{interp}{logical which controls whether spline interpolation is used. Default to TRUE if plotting with lambda of length less than 100.}
+
+\item{eps}{Tolerance for lambda = 0; defaults to 0.02}
+
+\item{xlab}{defaults to "lambda"}
+
+\item{ylab}{defaults to "log-Likelihood"}
+}
+\value{
+a ggplot object
+}
+\description{
+A forked version of MASS::boxcox using ggplot2
+}
+\examples{
+gg_boxcox(Volume ~ log(Height) + log(Girth), data = trees,
+          lambda = seq(-0.25, 0.25, length = 10))
+}
+\seealso{
+\link[MASS]{boxcox}
+}

From 09765ae3ede0902fbb8c0967b5647a813d8b238d Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 17 Jan 2020 16:58:55 +0700
Subject: [PATCH 045/193] Fix subsetting subgroup_logist_summary table

---
 R/group_effect.R | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/R/group_effect.R b/R/group_effect.R
index f411b11..e0e557d 100644
--- a/R/group_effect.R
+++ b/R/group_effect.R
@@ -241,3 +241,9 @@ t.subgroup_logist_summary <- function(x){
   v <- rownames(x[[1]])
   structure(sapply(v, function(.v) do.call(rbind, lapply(x,`[`,.v,)), simplify = FALSE), class = 'subgroup_logist_summary')
 }
+
+#' @export
+`[.subgroup_logist_summary` <- function(x,...){
+  class(x) <- 'data.frame'
+  NextMethod('[')
+}

From 28825bd1e6d85294736a03beeffda19c93f8c499 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 17 Jan 2020 16:59:20 +0700
Subject: [PATCH 046/193] Up to 202001 build

---
 DESCRIPTION | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index cfc7d4d..1e41f84 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.5-201912
+Version: 0.1.5-202011
 Author: Lam Phung Khanh
 Maintainer@R: 
     c(
@@ -41,5 +41,6 @@ Imports:
 RoxygenNote: 7.0.2
 Suggests: knitr,
     rmarkdown,
-    huxtable
+    huxtable,
+    ggplot
 VignetteBuilder: knitr

From 7736735ff4b810baa21fd5e7f1b5ea4120334d81 Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 17 Jan 2020 16:59:54 +0700
Subject: [PATCH 047/193] Up to build 202001

---
 DESCRIPTION | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 1e41f84..728530c 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.5-202011
+Version: 0.1.5-202001
 Author: Lam Phung Khanh
 Maintainer@R: 
     c(

From 192b51e560552975931d97d579e94901e2ea624f Mon Sep 17 00:00:00 2001
From: Trinh Dong Huu Khanh <trinhdhk@oucru.org>
Date: Fri, 17 Jan 2020 17:59:01 +0700
Subject: [PATCH 048/193] Add formula.tools as dependencies

---
 DESCRIPTION | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 728530c..d38206f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -37,7 +37,8 @@ Imports:
     survival,
     tidyr,
     rlang,
-    purrr
+    purrr,
+    formula.tools
 RoxygenNote: 7.0.2
 Suggests: knitr,
     rmarkdown,

From 4c98ffeca118265a34d0022356ceb004c918a5cd Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 20 Jan 2020 12:20:40 +0700
Subject: [PATCH 049/193] Hot fix for gg_boxcox

---
 R/gg_boxcox.R | 29 ++++++++++++++++-------------
 1 file changed, 16 insertions(+), 13 deletions(-)

diff --git a/R/gg_boxcox.R b/R/gg_boxcox.R
index 4a63f0d..7e36845 100644
--- a/R/gg_boxcox.R
+++ b/R/gg_boxcox.R
@@ -72,8 +72,6 @@ gg_boxcox.default <- function (object, lambda = seq(-2, 2, 1/10),
   mx <- (1L:m)[loglik == max(loglik)][1L]
   Lmax <- loglik[mx]
   lim <- Lmax - qchisq(19/20, 1)/2
-  plims <- par("usr")
-  y0 <- plims[3L]
   plt <-
     ggplot2::ggplot()+
     ggplot2::geom_line(mapping = ggplot2::aes(x = xl, y = loglik), size=.5, color = grey(0.1))+
@@ -83,25 +81,30 @@ gg_boxcox.default <- function (object, lambda = seq(-2, 2, 1/10),
     ggplot2::ylim(min(loglik, lim), max(loglik, lim))
   la <- xl[mx]
   # browser()
-  if (mx > 1 && mx < m)
+  if (mx > 1 && mx < m){
     plt <- plt+
-    ggplot2::geom_segment(ggplot2::aes(x=la, y=min(loglik), xend=la, yend=Lmax), linetype='dashed', color='red', size=.5)+
-    ggplot2::geom_text(ggplot2::aes(x=la,y=min(loglik),label=round(la,digits = 2)),color='red',vjust='top',
-              hjust='center')
+      ggplot2::geom_segment(ggplot2::aes(x=la, y=min(loglik), xend=la, yend=Lmax),
+                            linetype='dashed', color='red', size=.5)+
+      ggplot2::geom_text(ggplot2::aes(x=la,y=min(loglik),label=round(la,digits = 2)),color='red',vjust='top',
+                         hjust='center')
+  }
+  # browser()
   ind <- range((1L:m)[loglik > lim])
   if (loglik[1L] < lim) {
     i <- ind[1L]
     x <- xl[i - 1] + ((lim - loglik[i - 1]) * (xl[i] -
                                                  xl[i - 1]))/(loglik[i] - loglik[i - 1])
-    plt <- plt+
-      ggplot2::geom_segment(ggplot2::aes(x=x, y=min(loglik), xend=x, yend=lim), linetype='dashed', color=grey(.5), size=.5)
+    plt <- plt +
+      ggplot2::geom_segment(ggplot2::aes(x=x, y=min(loglik), xend=x, yend=lim),
+                            linetype='dashed', color=grey(.5), size=.5, inherit.aes = FALSE)
   }
   if (loglik[m] < lim) {
-    i <- ind[2L] + 1
-    x <- xl[i - 1] + ((lim - loglik[i - 1]) * (xl[i] -
-                                                 xl[i - 1]))/(loglik[i] - loglik[i - 1])
-    plt <- plt+
-      ggplot2::geom_segment(ggplot2::aes(x=x, y=min(loglik), xend=x, yend=lim), linetype='dashed', color=grey(.5), size=.5)
+    i2 <- ind[2L] + 1
+    x2 <- xl[i2 - 1] + ((lim - loglik[i2 - 1]) * (xl[i2] -
+                                                 xl[i2 - 1]))/(loglik[i2] - loglik[i2 - 1])
+    plt <- plt +
+      ggplot2::geom_segment(ggplot2::aes(x=x2, y=min(loglik), xend=x2, yend=lim),
+                            linetype='dashed', color=grey(.5), size=.5, inherit.aes = FALSE)
   }
   plt
 }

From 0a24f4acaf21dc96dd160ae82701982e50bc05fa Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 17 Apr 2020 11:19:37 +0700
Subject: [PATCH 050/193] Update DESCRIPTION

---
 DESCRIPTION | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index d38206f..3f7f4cd 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -16,8 +16,9 @@ Maintainer@R:
             role = "maintainer",
             email = "trindhk@oucru.org"),
         person(
-            given = 'Biostatistic Group',
-            role = "maintainer"
+            given = "Biostatistic Group",
+            role = "maintainer",
+            email = "biostatistics@oucru.org"
         )
     )
 Description: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU

From 704112c4d1c400dbcecae52c93d1ffc858260836 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 28 Sep 2020 10:16:12 +0700
Subject: [PATCH 051/193] Update README.md

---
 README.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 84880e4..b40c3b3 100644
--- a/README.md
+++ b/README.md
@@ -11,8 +11,13 @@ from the Biostatistics group at OUCRU-HCM.
 You can install C306 from github with:
 
 ``` r
-# install.packages("devtools")
-devtools::install_github("lampk/C306")
+# install.packages("remotes")
+remotes::install_githubs("oucru-biostats/C306")
+```
+And for the cutting-edge version:
+
+``` r
+remotes::install_githubs("oucru-biostats/C306@experimental")
 ```
 
 ## Website

From fedec1c2407aed2c27e78d824bcf431428238d6b Mon Sep 17 00:00:00 2001
From: lampk <phungkhanhlam@gmail.com>
Date: Thu, 3 Dec 2020 15:59:08 +0700
Subject: [PATCH 052/193] add createProject2

---
 R/createProject.R                             |  23 ++++++++++++++++++
 inst/.DS_Store                                | Bin 0 -> 8196 bytes
 inst/structure/.DS_Store                      | Bin 0 -> 8196 bytes
 inst/structure/Project/.DS_Store              | Bin 0 -> 12292 bytes
 inst/structure/Project/Analysis/.DS_Store     | Bin 0 -> 12292 bytes
 .../Project/Analysis/Documents/.DS_Store      | Bin 0 -> 8196 bytes
 .../Project/Analysis/Documents/Readme.txt     |   1 +
 .../Project/Analysis/Documents/SAP/Readme.txt |   1 +
 .../Project/Analysis/Figures/Readme.txt       |   1 +
 .../Project/Analysis/Functions/Readme.txt     |   1 +
 .../Project/Analysis/Output/Readme.txt        |   1 +
 inst/structure/Project/Analysis/Readme.txt    |   1 +
 inst/structure/Project/Data/.DS_Store         | Bin 0 -> 10244 bytes
 .../structure/Project/Data/Cleaned/Readme.txt |   1 +
 .../Project/Data/Imported/Readme.txt          |   1 +
 inst/structure/Project/Data/Info/Readme.txt   |   1 +
 .../Project/Data/Raw/Final/Readme.txt         |   1 +
 .../Project/Data/Raw/Interim/Readme.txt       |   1 +
 inst/structure/Project/Data/Raw/Readme.txt    |   5 ++++
 inst/structure/Project/Data/Readme.txt        |   8 ++++++
 inst/structure/Project/Data/VAD/Readme.txt    |   1 +
 inst/structure/Project/Published/.DS_Store    | Bin 0 -> 8196 bytes
 inst/structure/Project/Published/Readme.txt   |   1 +
 23 files changed, 49 insertions(+)
 create mode 100644 inst/.DS_Store
 create mode 100644 inst/structure/.DS_Store
 create mode 100644 inst/structure/Project/.DS_Store
 create mode 100644 inst/structure/Project/Analysis/.DS_Store
 create mode 100644 inst/structure/Project/Analysis/Documents/.DS_Store
 create mode 100644 inst/structure/Project/Analysis/Documents/Readme.txt
 create mode 100644 inst/structure/Project/Analysis/Documents/SAP/Readme.txt
 create mode 100644 inst/structure/Project/Analysis/Figures/Readme.txt
 create mode 100644 inst/structure/Project/Analysis/Functions/Readme.txt
 create mode 100644 inst/structure/Project/Analysis/Output/Readme.txt
 create mode 100644 inst/structure/Project/Analysis/Readme.txt
 create mode 100644 inst/structure/Project/Data/.DS_Store
 create mode 100644 inst/structure/Project/Data/Cleaned/Readme.txt
 create mode 100644 inst/structure/Project/Data/Imported/Readme.txt
 create mode 100644 inst/structure/Project/Data/Info/Readme.txt
 create mode 100644 inst/structure/Project/Data/Raw/Final/Readme.txt
 create mode 100644 inst/structure/Project/Data/Raw/Interim/Readme.txt
 create mode 100644 inst/structure/Project/Data/Raw/Readme.txt
 create mode 100644 inst/structure/Project/Data/Readme.txt
 create mode 100644 inst/structure/Project/Data/VAD/Readme.txt
 create mode 100644 inst/structure/Project/Published/.DS_Store
 create mode 100644 inst/structure/Project/Published/Readme.txt

diff --git a/R/createProject.R b/R/createProject.R
index d23b6d5..7801765 100644
--- a/R/createProject.R
+++ b/R/createProject.R
@@ -24,4 +24,27 @@ createProject <- function(dir, structure = c("OUCRU_RCT_wInterim")){
   # inform
   cat(paste("Project", basename(dir), "was created in", dirname(dir), "\n", sep = " "))
 }
+#' @export
+createProject2 <- function(dir, structure = c("Project")){
+  ## to create project directory
+  ## initial version: 23 July 2015
+
+  if (length(structure) > 1) {structure <- "Project"}
 
+  ## create destination folder
+  dir.create(dir)
+
+  ## copy folder structure into destination folder
+  file.copy(from = file.path(system.file(package = "C306"), "structure", structure, "."),
+            to = dir, recursive = TRUE)
+  file.rename(from = file.path(dir, "Analysis"), to = file.path(dir, paste0(basename(dir), "_Analysis")))
+  file.rename(from = file.path(dir, "Published"), to = file.path(dir, paste0(basename(dir), "_Published")))
+
+  ## populate workflowr
+  if ("workflowr" %in% rownames(installed.packages())) {
+    workflowr::wflow_start(file.path(dir, paste0(basename(dir), "_Published")), existing = TRUE, overwrite = TRUE)
+  }
+
+  # inform
+  cat(paste("Project", basename(dir), "was created in", dirname(dir), "\n", sep = " "))
+}
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diff --git a/inst/structure/Project/Analysis/Documents/Readme.txt b/inst/structure/Project/Analysis/Documents/Readme.txt
new file mode 100644
index 0000000..310f848
--- /dev/null
+++ b/inst/structure/Project/Analysis/Documents/Readme.txt
@@ -0,0 +1 @@
+This folder contains related documents.
\ No newline at end of file
diff --git a/inst/structure/Project/Analysis/Documents/SAP/Readme.txt b/inst/structure/Project/Analysis/Documents/SAP/Readme.txt
new file mode 100644
index 0000000..dcd855f
--- /dev/null
+++ b/inst/structure/Project/Analysis/Documents/SAP/Readme.txt
@@ -0,0 +1 @@
+This folder contains statistical analysis plan.
\ No newline at end of file
diff --git a/inst/structure/Project/Analysis/Figures/Readme.txt b/inst/structure/Project/Analysis/Figures/Readme.txt
new file mode 100644
index 0000000..383324f
--- /dev/null
+++ b/inst/structure/Project/Analysis/Figures/Readme.txt
@@ -0,0 +1 @@
+This folder contains graphical output.
\ No newline at end of file
diff --git a/inst/structure/Project/Analysis/Functions/Readme.txt b/inst/structure/Project/Analysis/Functions/Readme.txt
new file mode 100644
index 0000000..6a288f1
--- /dev/null
+++ b/inst/structure/Project/Analysis/Functions/Readme.txt
@@ -0,0 +1 @@
+This folder contains all additional functions/packages
\ No newline at end of file
diff --git a/inst/structure/Project/Analysis/Output/Readme.txt b/inst/structure/Project/Analysis/Output/Readme.txt
new file mode 100644
index 0000000..27ae940
--- /dev/null
+++ b/inst/structure/Project/Analysis/Output/Readme.txt
@@ -0,0 +1 @@
+This folder contains intermediate/temporary outputs.
\ No newline at end of file
diff --git a/inst/structure/Project/Analysis/Readme.txt b/inst/structure/Project/Analysis/Readme.txt
new file mode 100644
index 0000000..bf87913
--- /dev/null
+++ b/inst/structure/Project/Analysis/Readme.txt
@@ -0,0 +1 @@
+This folder contains all codes and outputs for the final analysis.
\ No newline at end of file
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diff --git a/inst/structure/Project/Data/Cleaned/Readme.txt b/inst/structure/Project/Data/Cleaned/Readme.txt
new file mode 100644
index 0000000..c70aa95
--- /dev/null
+++ b/inst/structure/Project/Data/Cleaned/Readme.txt
@@ -0,0 +1 @@
+This folder contains cleaned data.
\ No newline at end of file
diff --git a/inst/structure/Project/Data/Imported/Readme.txt b/inst/structure/Project/Data/Imported/Readme.txt
new file mode 100644
index 0000000..0c8b6a9
--- /dev/null
+++ b/inst/structure/Project/Data/Imported/Readme.txt
@@ -0,0 +1 @@
+This folder contains data imported to R from raw data
\ No newline at end of file
diff --git a/inst/structure/Project/Data/Info/Readme.txt b/inst/structure/Project/Data/Info/Readme.txt
new file mode 100644
index 0000000..408ef11
--- /dev/null
+++ b/inst/structure/Project/Data/Info/Readme.txt
@@ -0,0 +1 @@
+This folder contains metadata information of the database.
\ No newline at end of file
diff --git a/inst/structure/Project/Data/Raw/Final/Readme.txt b/inst/structure/Project/Data/Raw/Final/Readme.txt
new file mode 100644
index 0000000..156886b
--- /dev/null
+++ b/inst/structure/Project/Data/Raw/Final/Readme.txt
@@ -0,0 +1 @@
+This folder contains raw data for final analysis.
\ No newline at end of file
diff --git a/inst/structure/Project/Data/Raw/Interim/Readme.txt b/inst/structure/Project/Data/Raw/Interim/Readme.txt
new file mode 100644
index 0000000..8cf9e95
--- /dev/null
+++ b/inst/structure/Project/Data/Raw/Interim/Readme.txt
@@ -0,0 +1 @@
+This folder contains raw data for interim analysis.
\ No newline at end of file
diff --git a/inst/structure/Project/Data/Raw/Readme.txt b/inst/structure/Project/Data/Raw/Readme.txt
new file mode 100644
index 0000000..fece4d8
--- /dev/null
+++ b/inst/structure/Project/Data/Raw/Readme.txt
@@ -0,0 +1,5 @@
+This folder contains raw data
+
+Subfolder:
+- Interim: raw data for interim analysis
+- Final:   raw data for final analysis
\ No newline at end of file
diff --git a/inst/structure/Project/Data/Readme.txt b/inst/structure/Project/Data/Readme.txt
new file mode 100644
index 0000000..7f23e2c
--- /dev/null
+++ b/inst/structure/Project/Data/Readme.txt
@@ -0,0 +1,8 @@
+This folder stores all data required for the analysis
+1) Raw: stores raw data in the Access database (.mdb) format, plus the data dictionary
+2) Randomization_list: stores randomization list(s) (in the interim phase, this folder only stores the dummy-randomization lists)
+3) Imported: stores R/SAS raw data imported from Access format
+4) VAD: stores value-added dataset that will be used for the analysis (in R/SAS format)
+5) VAD_csv: stores value-added dataset that will be used for the analysis (in csv format)
+
+Data for the interim analysis can be found in the InterimAnalyses folder.
\ No newline at end of file
diff --git a/inst/structure/Project/Data/VAD/Readme.txt b/inst/structure/Project/Data/VAD/Readme.txt
new file mode 100644
index 0000000..d4e558d
--- /dev/null
+++ b/inst/structure/Project/Data/VAD/Readme.txt
@@ -0,0 +1 @@
+This folder contains value-added data for analysis.
\ No newline at end of file
diff --git a/inst/structure/Project/Published/.DS_Store b/inst/structure/Project/Published/.DS_Store
new file mode 100644
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diff --git a/inst/structure/Project/Published/Readme.txt b/inst/structure/Project/Published/Readme.txt
new file mode 100644
index 0000000..5cf50af
--- /dev/null
+++ b/inst/structure/Project/Published/Readme.txt
@@ -0,0 +1 @@
+This folder contains information to publish on GitHub.
\ No newline at end of file

From 3b25d85a8f41ccaecaeeb52535272d5e6eef037b Mon Sep 17 00:00:00 2001
From: lampk <phungkhanhlam@gmail.com>
Date: Thu, 3 Dec 2020 16:17:35 +0700
Subject: [PATCH 053/193] update NAMESPACE

---
 DESCRIPTION                      |  2 +-
 NAMESPACE                        |  1 +
 man/contSummary.Rd               |  8 ++++++--
 man/ht_theme_kable.Rd            | 11 ++++++++---
 man/ht_theme_markdown.Rd         | 11 ++++++++---
 man/inspect.data.Rd              | 11 +++++++++--
 man/simple_recode.Rd             | 16 ++++++++++------
 man/simple_relevel.Rd            |  8 ++------
 man/ss_format.Rd                 | 10 ++++++++--
 man/ss_huxtable.Rd               | 17 ++++++++++++-----
 man/sstable.ae.Rd                | 30 ++++++++++++++++++++++++------
 man/sstable.baseline.Rd          | 29 +++++++++++++++++++++++------
 man/sstable.survcomp.Rd          | 16 +++++++++++++---
 man/sstable.survcomp.subgroup.Rd | 15 ++++++++++++---
 14 files changed, 137 insertions(+), 48 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index ad061d3..bf951bd 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -17,7 +17,7 @@ Imports: lubridate,
     officer,
     survival,
     tidyr
-RoxygenNote: 6.1.1
+RoxygenNote: 7.1.0
 Suggests: knitr,
     rmarkdown,
     huxtable
diff --git a/NAMESPACE b/NAMESPACE
index 148ce99..8e83347 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -8,6 +8,7 @@ S3method(simple_relevel,default)
 export(contSummary)
 export(convert.info)
 export(createProject)
+export(createProject2)
 export(getlabel)
 export(ht_theme_kable)
 export(ht_theme_markdown)
diff --git a/man/contSummary.Rd b/man/contSummary.Rd
index 8ee8d03..0312f60 100644
--- a/man/contSummary.Rd
+++ b/man/contSummary.Rd
@@ -4,8 +4,12 @@
 \alias{contSummary}
 \title{Calculate summary statistics for continuous variable}
 \usage{
-contSummary(x, statistics = c("med.IQR", "med.90", "med.range",
-  "mean.sd"), digits = 1, n = TRUE)
+contSummary(
+  x,
+  statistics = c("med.IQR", "med.90", "med.range", "mean.sd"),
+  digits = 1,
+  n = TRUE
+)
 }
 \arguments{
 \item{x}{a numeric vector to be summarised.}
diff --git a/man/ht_theme_kable.Rd b/man/ht_theme_kable.Rd
index e5acfba..38d9569 100644
--- a/man/ht_theme_kable.Rd
+++ b/man/ht_theme_kable.Rd
@@ -4,9 +4,14 @@
 \alias{ht_theme_kable}
 \title{A kable-esque theme for huxtable object}
 \usage{
-ht_theme_kable(ht, header_rows = 1:2, header_cols = NULL,
-  border_width = 1, border_color = "#dddddd", bg = c("white",
-  "#f9f9f9"))
+ht_theme_kable(
+  ht,
+  header_rows = 1:2,
+  header_cols = NULL,
+  border_width = 1,
+  border_color = "#dddddd",
+  bg = c("white", "#f9f9f9")
+)
 }
 \arguments{
 \item{ht}{an object of class huxtable}
diff --git a/man/ht_theme_markdown.Rd b/man/ht_theme_markdown.Rd
index eb7feb5..a66434f 100644
--- a/man/ht_theme_markdown.Rd
+++ b/man/ht_theme_markdown.Rd
@@ -4,9 +4,14 @@
 \alias{ht_theme_markdown}
 \title{A stripe theme for huxtable object}
 \usage{
-ht_theme_markdown(ht, header_rows = 1:2, header_cols = NULL,
-  border_width = 0.8, border_color = grey(0.75), bg = c(grey(0.95),
-  "white"))
+ht_theme_markdown(
+  ht,
+  header_rows = 1:2,
+  header_cols = NULL,
+  border_width = 0.8,
+  border_color = grey(0.75),
+  bg = c(grey(0.95), "white")
+)
 }
 \arguments{
 \item{ht}{an object of class huxtable}
diff --git a/man/inspect.data.Rd b/man/inspect.data.Rd
index ec8e2fd..e4ec4ea 100644
--- a/man/inspect.data.Rd
+++ b/man/inspect.data.Rd
@@ -4,8 +4,15 @@
 \alias{inspect.data}
 \title{Check formatted data based on a pre-defined information}
 \usage{
-inspect.data(data, info, id, check_missing = c(TRUE, FALSE),
-  plot = FALSE, prefix = "", outdir)
+inspect.data(
+  data,
+  info,
+  id,
+  check_missing = c(TRUE, FALSE),
+  plot = FALSE,
+  prefix = "",
+  outdir
+)
 }
 \arguments{
 \item{data}{a formatted data frame to be checked.}
diff --git a/man/simple_recode.Rd b/man/simple_recode.Rd
index 3495903..edaeebf 100644
--- a/man/simple_recode.Rd
+++ b/man/simple_recode.Rd
@@ -10,12 +10,16 @@
 \usage{
 simple_recode(...)
 
-\method{simple_recode}{data.frame}(.data, ..., ignore.case = FALSE,
-  perl = TRUE)
-
-\method{simple_recode}{default}(x, map, as = c("as_is", "numeric",
-  "factor", "character", "logical"), ignore.case = FALSE, perl = TRUE,
-  ...)
+\method{simple_recode}{data.frame}(.data, ..., ignore.case = FALSE, perl = TRUE)
+
+\method{simple_recode}{default}(
+  x,
+  map,
+  as = c("as_is", "numeric", "factor", "character", "logical"),
+  ignore.case = FALSE,
+  perl = TRUE,
+  ...
+)
 }
 \arguments{
 \item{...}{For data.frame: Replacement in the form of var = map. Maps must follow the syntax stipulated in the map parameter.
diff --git a/man/simple_relevel.Rd b/man/simple_relevel.Rd
index eee08e3..4e155a3 100644
--- a/man/simple_relevel.Rd
+++ b/man/simple_relevel.Rd
@@ -13,20 +13,16 @@ simple_relevel(x, ...)
 \method{simple_relevel}{default}(x, by, map)
 }
 \arguments{
-\item{x}{A vector}
+\item{x}{a vector that will be relevelled}
 
 \item{...}{Unquoted variable names that will be relevelled}
 
 \item{data}{A data.frame}
 
-\item{by}{A vector or unquoted variable name the relevelling process will base on}
+\item{by}{a vector that the relevelling process will base on}
 
 \item{map}{a list that links by to x in the form of list(by.1 = c(x1.1, x1.2...), by.2 = c(x2.1, x2.2...))
 or a data.frame with two columns "from" and "to" serving the same purpose.}
-
-\item{x}{a vector that will be relevelled}
-
-\item{by}{a vector that the relevelling process will base on}
 }
 \value{
 A vector or a data.frame
diff --git a/man/ss_format.Rd b/man/ss_format.Rd
index 309923b..0c9fac5 100644
--- a/man/ss_format.Rd
+++ b/man/ss_format.Rd
@@ -4,8 +4,14 @@
 \alias{ss_format}
 \title{Quick format a sstable in preparation for create flextable/huxtable}
 \usage{
-ss_format(sstable, header = c(), section = c(), body = c(),
-  template = c("baseline", "survcomp", "ae"), .guess = TRUE)
+ss_format(
+  sstable,
+  header = c(),
+  section = c(),
+  body = c(),
+  template = c("baseline", "survcomp", "ae"),
+  .guess = TRUE
+)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
diff --git a/man/ss_huxtable.Rd b/man/ss_huxtable.Rd
index 34b32b1..5bd3fb8 100644
--- a/man/ss_huxtable.Rd
+++ b/man/ss_huxtable.Rd
@@ -4,11 +4,18 @@
 \alias{ss_huxtable}
 \title{Create summary table using huxtable package.}
 \usage{
-ss_huxtable(sstable, footer = NULL, caption = NULL,
-  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright",
-  "bottomleft", "bottomcenter", "bottomright"), bg = c(grey(0.95),
-  "white"), border_width = 0.8, border_color = grey(0.75),
-  wrap = FALSE, ...)
+ss_huxtable(
+  sstable,
+  footer = NULL,
+  caption = NULL,
+  caption_pos = c("top", "bottom", "topleft", "topcenter", "topright", "bottomleft",
+    "bottomcenter", "bottomright"),
+  bg = c(grey(0.95), "white"),
+  border_width = 0.8,
+  border_color = grey(0.75),
+  wrap = FALSE,
+  ...
+)
 }
 \arguments{
 \item{sstable}{a data frame following sstable's grammar}
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 6c9727b..1f44070 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -4,12 +4,30 @@
 \alias{sstable.ae}
 \title{Create an adverse event summary table}
 \usage{
-sstable.ae(ae_data, fullid_data, group_data = NULL, id.var, aetype.var,
-  grade.var = NULL, group.var = NULL, arm.var, sort.by, digits = 0,
-  test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE,
-  correct = FALSE, simulate.p.value = FALSE, B = 2000,
-  workspace = 1e+06, hybrid = FALSE, footer = NULL,
-  flextable = TRUE, bg = "#F2EFEE")
+sstable.ae(
+  ae_data,
+  fullid_data,
+  group_data = NULL,
+  id.var,
+  aetype.var,
+  grade.var = NULL,
+  group.var = NULL,
+  arm.var,
+  sort.by,
+  digits = 0,
+  test = TRUE,
+  pdigits = 3,
+  pcutoff = 0.001,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE"
+)
 }
 \arguments{
 \item{ae_data}{a data frame contains adverse event data.}
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
index 0883621..1860d67 100644
--- a/man/sstable.baseline.Rd
+++ b/man/sstable.baseline.Rd
@@ -4,12 +4,29 @@
 \alias{sstable.baseline}
 \title{Create baseline table}
 \usage{
-sstable.baseline(formula, data, bycol = TRUE, pooledGroup = FALSE,
-  keepEmptyGroup = FALSE, statistics = "med.IQR", continuous = NA,
-  fullfreq = TRUE, digits = 1, test = FALSE, pdigits = 3,
-  pcutoff = 1e-04, chisq.test = FALSE, correct = FALSE,
-  simulate.p.value = FALSE, B = 2000, workspace = 1e+06,
-  hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE")
+sstable.baseline(
+  formula,
+  data,
+  bycol = TRUE,
+  pooledGroup = FALSE,
+  keepEmptyGroup = FALSE,
+  statistics = "med.IQR",
+  continuous = NA,
+  fullfreq = TRUE,
+  digits = 1,
+  test = FALSE,
+  pdigits = 3,
+  pcutoff = 1e-04,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = FALSE,
+  bg = "#F2EFEE"
+)
 }
 \arguments{
 \item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.}
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index ab086a5..2b37e47 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -4,9 +4,19 @@
 \alias{sstable.survcomp}
 \title{Summarize results for a Cox survival model with the treatment arm as the main covariate}
 \usage{
-sstable.survcomp(model, data, add.risk = TRUE,
-  add.prop.haz.test = TRUE, medsum = TRUE, digits = 2, pdigits = 3,
-  pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE")
+sstable.survcomp(
+  model,
+  data,
+  add.risk = TRUE,
+  add.prop.haz.test = TRUE,
+  medsum = TRUE,
+  digits = 2,
+  pdigits = 3,
+  pcutoff = 0.001,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE"
+)
 }
 \arguments{
 \item{model}{a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.}
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index 119cdde..c1e110e 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -4,9 +4,18 @@
 \alias{sstable.survcomp.subgroup}
 \title{Summarize results for a Cox survival model by treatment arm and subgroup}
 \usage{
-sstable.survcomp.subgroup(base.model, subgroup.model, data, digits = 2,
-  pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE,
-  bg = "#F2EFEE", ...)
+sstable.survcomp.subgroup(
+  base.model,
+  subgroup.model,
+  data,
+  digits = 2,
+  pdigits = 3,
+  pcutoff = 0.001,
+  footer = NULL,
+  flextable = TRUE,
+  bg = "#F2EFEE",
+  ...
+)
 }
 \arguments{
 \item{base.model}{a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).}

From 7d30d14b081ba64b32fc47ac985bc45ad2672f70 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Thu, 28 Apr 2022 12:42:23 +0100
Subject: [PATCH 054/193] fix replace_na stop allow auto type-coercing in 1.2.0

---
 R/ssformat.R | 2 +-
 R/sstable.R  | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 744d0cb..29b6e56 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -6,7 +6,7 @@
 
 ## Check legitibility
 ss_legit <- function(sstable){
-  requireNamespace('tibble')
+  # requireNamespace('tibble')
   if (!is.matrix(sstable) & !is.data.frame(sstable)) stop('sstable must be of type matrix or data frame.')
   return(as.matrix(sstable))
 }
diff --git a/R/sstable.R b/R/sstable.R
index a813413..66b913d 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -690,7 +690,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     if (is.null(group_data)) {
       group_data <- unique(ae_data[,c(aetype.var, group.var)])
     }
-    group_data[[group.var]] <- replace_na(group_data[[group.var]], 'Uncategorised')
+    group_data[[group.var]] <- replace_na(as.character(group_data[[group.var]]), 'Uncategorised')
     if (!is.factor(group_data[, group.var])) group_data[, group.var] <- as.factor(group_data[, group.var])
     group_data <- group_data[, c(aetype.var, group.var)]
     group_data[,aetype.var] <- as.character(group_data[,aetype.var])
@@ -802,7 +802,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
             rename({{aetype.var}} := aetype),
           by = aetype.var
         ) %>%
-        mutate(pval = replace_na(pval, ''))
+        mutate(pval = replace_na(as.character(pval), ''))
   }
 
   ae_value <- as.matrix(ae_value)
@@ -888,7 +888,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   #                  }))
 
   ## - bind the head again
-  ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '')
+  ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(as.character) %>% mutate_all(replace_na, '')
 
   ## remove the dummy col -trinhdhk
   ae_value <- ae_value[,-(nlevels(ae_arm$arm)*2 + 2):-(nlevels(ae_arm$arm)*3+1)]

From 55307efda1f700638f453b373ed5a039af18405f Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Thu, 28 Apr 2022 12:45:45 +0100
Subject: [PATCH 055/193] fix replace_na disabling auto type-coercing in tidyr
 1.2.0

---
 R/ssformat.R | 2 +-
 R/sstable.R  | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 0bab002..2ca7ce7 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -6,7 +6,7 @@
 
 ## Check legitibility
 ss_legit <- function(sstable){
-  requireNamespace('tibble')
+  # requireNamespace('tibble')
   if (!is.matrix(sstable) & !is.data.frame(sstable)) stop('sstable must be of type matrix or data frame.')
   return(as.matrix(sstable))
 }
diff --git a/R/sstable.R b/R/sstable.R
index 1bd763f..c9b37ea 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -697,7 +697,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     if (is.null(group_data)) {
       group_data <- unique(ae_data[,c(aetype.var, group.var)])
     }
-    group_data[[group.var]] <- replace_na(group_data[[group.var]], 'Uncategorised')
+    group_data[[group.var]] <- replace_na(as.character(group_data[[group.var]]), 'Uncategorised')
     if (!is.factor(group_data[, group.var])) group_data[, group.var] <- as.factor(group_data[, group.var])
     group_data <- group_data[, c(aetype.var, group.var)]
     group_data[,aetype.var] <- as.character(group_data[,aetype.var])
@@ -809,7 +809,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
             rename({{aetype.var}} := aetype),
           by = aetype.var
         ) %>%
-        mutate(pval = replace_na(pval, ''))
+        mutate(pval = replace_na(as.character(pval), ''))
   }
 
   # browser()
@@ -869,7 +869,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                                         }
                                       }))
     ## - bind the head again
-    ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(replace_na, '') %>% select(-pt.all, -ep.all)
+    ae_value <- rbind(ae_value.head, ae_value.sorted) %>% mutate_all(as.character) %>% mutate_all(replace_na, '') %>% select(-pt.all, -ep.all)
 
     # browser()
   }

From 6fae4b4ed242011df4b692ec1c18946a73008c64 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Thu, 4 Apr 2024 15:42:29 +0700
Subject: [PATCH 056/193] fix explicit.R

---
 R/explicit.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/explicit.R b/R/explicit.R
index 056923e..53b95cb 100644
--- a/R/explicit.R
+++ b/R/explicit.R
@@ -38,7 +38,7 @@ explicit.lm <- function(fit){
   mf <- eval(mf, parent.frame())
   y <- model.response(mf)
   x <- model.matrix(lm)
-  new_data <- cbind(mf, model.matrix(lm)[,!colnames(x) %in% c('(Intercept)', colnames(mf))])
+  new_data <- cbind(mf, model.matrix(lm)[,!colnames(x) %in% c('(Intercept)', colnames(mf)), drop=FALSE])
   x_names <- paste0('`', gsub('(^`)|(`$)', '', colnames(x)[-1]), '`')
   names(x_names) <- colnames(x)[-1]
   # browser()

From b67b658dbb1efc09f60c0fbc3fbdb115c69b6875 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 3 May 2024 15:23:58 +0700
Subject: [PATCH 057/193] fix survival not accepting Inf as time

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 1bd763f..7f58a71 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -269,7 +269,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #### summary statistics
   if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
     footer.con <- paste0(switch(statistics,
-                                med.IQR = "median (IQR)",
+                                med.IQR = "median (1st and 3rd quartiles))",
                                 med.90  = "median (90% range)",
                                 med.range = "median (range)",
                                 mean.sd = "mean (sd)"),
@@ -1000,7 +1000,7 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
 
   # add number of events and risks
   fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
-  fit.surv <- summary(fit.surv0, time = Inf, extend = TRUE)
+  fit.surv <- summary(fit.surv0, time = .Machine$integer.max, extend = TRUE)
 
   if (length(unique(data[, arm.var])) < length(arm.names)) {
     tmp <- fit.surv$table

From 5a1af32d3bf6430b28cea0c0c31a87041c2b2ab6 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 3 May 2024 17:08:33 +0700
Subject: [PATCH 058/193] fix P(>Chi) -> Pr(>Chi)

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 7f58a71..827d7b4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1170,7 +1170,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits =
     result <- rbind(result, "")
     result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
                                       subgroup.char[k], attr(data[, subgroup.char[k]], "label"))
-    ia.pval <- anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "P(>|Chi|)"]
+    ia.pval <- anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "Pr(>|Chi|)"]
     result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level

From e1d9b889ac72d73ffb5bb352a361efd15db2549d Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 7 May 2024 12:53:44 +0700
Subject: [PATCH 059/193] as_sstable.list now support syntax of list

---
 R/ssformat.R | 32 ++++++++++++++++++++++----------
 1 file changed, 22 insertions(+), 10 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 2ca7ce7..e1222d6 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -546,17 +546,30 @@ as_sstable.default <- function(x, flextable = FALSE, ...){
 #' @export
 as_sstable.list <- function(x, flextable = FALSE, ...){
   out <- list()
-  out$table <- as.matrix(x$table)
-  out$table <- rbind(colnames(out$table), out$table)
-  out$table <- cbind(rownames(out$table), out$table)
-  colnames(out$table) <- rownames(out$table) <- NULL
-  out$footer <- x$footer
-  class(out$table) <- c('ss_tbl', 'matrix')
 
-  if (flextable){
-    logist_summary.sstable <- ss_flextable(out$table, footer = out$footer, ...)
-    return(logist_summary.sstable)
+  header <- if (inherits(x$header, 'matrix') x$header else do.call(rbind, x$header)
+  rownames(header) = paste0('header', seq_len(nrow(header)))
+
+  if (inherits(x$body), 'list'){
+    body <- lapply(seq_along(x$body), function(i){
+      cont <- x$body[[i]]
+      title <- names(x$body)[[i]] 
+      if (is.null(title)) title <- ''
+      title <- rep(title, ncol(cont))
+      sec <- rbind(title, cont)
+      rownames(sec) = c(paste0('section', i), paste0('body',i,  seq_len(nrow(cont))))
+      if (title == '' & i == 1) sec <- sec[-1,]
+      sec
+    })
+    body <- do.call(rbind, body)
+  } else {
+      body <- as.matrix(x$body)
+      rownames(body) <- paste0('body', seq_len(nrow(table)))
   }
+ 
+  out$table <- rbind(header, body)
+  out$footer <- x$footer
+  class(out$table) <- c('ss_tbl', 'matrix')
 
   out
 }
@@ -622,4 +635,3 @@ as_sstable.subgroup_logist_summary <- function(x, include_footnote = TRUE, flext
   if (include_footnote) return(list(table = sstable, footer = footer))
   sstable
 }
-

From 550539d1c98bd49f155835ddacebfd3765bb5ce1 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 7 May 2024 12:57:17 +0700
Subject: [PATCH 060/193] typo

---
 R/ssformat.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index e1222d6..f17f48b 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -547,7 +547,7 @@ as_sstable.default <- function(x, flextable = FALSE, ...){
 as_sstable.list <- function(x, flextable = FALSE, ...){
   out <- list()
 
-  header <- if (inherits(x$header, 'matrix') x$header else do.call(rbind, x$header)
+  header <- if (inherits(x$header, 'matrix')) x$header else do.call(rbind, x$header)
   rownames(header) = paste0('header', seq_len(nrow(header)))
 
   if (inherits(x$body), 'list'){

From bb7b3780c63d8a4b39b41bc08635c8de63d4304f Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 7 May 2024 12:59:06 +0700
Subject: [PATCH 061/193] typo

---
 R/ssformat.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index f17f48b..bf51551 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -550,7 +550,7 @@ as_sstable.list <- function(x, flextable = FALSE, ...){
   header <- if (inherits(x$header, 'matrix')) x$header else do.call(rbind, x$header)
   rownames(header) = paste0('header', seq_len(nrow(header)))
 
-  if (inherits(x$body), 'list'){
+  if (inherits(x$body, 'list')){
     body <- lapply(seq_along(x$body), function(i){
       cont <- x$body[[i]]
       title <- names(x$body)[[i]] 

From aaed3267088af1407110d809a606d236ecd8bbde Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 7 May 2024 13:02:39 +0700
Subject: [PATCH 062/193] add flexable=TRUE for as_sstable.list

---
 R/ssformat.R | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index bf51551..783d6c0 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -538,7 +538,7 @@ as_sstable.default <- function(x, flextable = FALSE, ...){
   if (length(attr(x, 'footer'))) out$footer <- attr(x, 'footer')
 
   class(out) <- c('ss_tbl', 'matrix')
-  if (flextable) ss_flextable(out, ...)
+  if (flextable) return(ss_flextable(out, ...))
   return(out)
 }
 
@@ -564,14 +564,15 @@ as_sstable.list <- function(x, flextable = FALSE, ...){
     body <- do.call(rbind, body)
   } else {
       body <- as.matrix(x$body)
-      rownames(body) <- paste0('body', seq_len(nrow(table)))
+      rownames(body) <- paste0('body', seq_len(nrow(body)))
   }
  
   out$table <- rbind(header, body)
   out$footer <- x$footer
   class(out$table) <- c('ss_tbl', 'matrix')
 
-  out
+  if (flextable) return(ss_flextable(out, ...))
+  return(out)
 }
 
 #' @rdname as_sstable

From e79bc5018982544521db9933ae730ee9a636a6b7 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 12 Jun 2024 10:32:37 +0700
Subject: [PATCH 063/193] Fix bugs for ss_format. Add a helper for format
 flextable in sstable theme

---
 R/checking.R | 11 +++++++----
 R/ssformat.R | 23 ++++++++++++++++++-----
 2 files changed, 25 insertions(+), 9 deletions(-)

diff --git a/R/checking.R b/R/checking.R
index 61c2f8b..e1cc7da 100644
--- a/R/checking.R
+++ b/R/checking.R
@@ -94,8 +94,9 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
     N <- nrow(data)
     for (i in (1:length(info$varname))) {
       tmpdata <- data[, names(data)[tolower(names(data)) == tolower(info$varname[i])]]
-      tmplabel <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
-                              x = info$label[i]), start = 1, stop = 30)
+      # tmplabel <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
+      #                         x = info$label[i]), start = 1, stop = 30)
+      tmplabel <- substr(stringi::iconv(info$label[i], to='ASCII//TRANSLIT'), start=1, stop=30) |> gsub("?", "", x=_, fixed=TRUE)
       if (length(na.omit(tmpdata)) == 0) {
         plot(x = 1:10, y = 1:10,
              main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ")", sep = ""),
@@ -109,8 +110,10 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
           x <- barplot(table(tmpdata),
                        main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ", N=", N, ", missing=", nNA, ")", sep = ""),
                        xaxt = "n")
-          labs <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
-                              x = names(table(tmpdata))), start = 1, stop = 10)
+          # labs <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
+          #                     x = names(table(tmpdata))), start = 1, stop = 10)
+          labs <- substr(gsub(pattern = "?", replacement = "", fixed=TRUE,
+                              x = stringi::iconv(names(table(tmpdata)), to='ASCII//TRANSLIT')), start = 1, stop = 10)                    
           text(cex = 1, x = x, y = 0, labs, xpd = TRUE, srt = 45, adj = 1)
         }
         else {
diff --git a/R/ssformat.R b/R/ssformat.R
index 783d6c0..064995b 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -117,6 +117,8 @@ ss_format <- function(sstable, header = c(), section = c(), body = c(), template
   if (length(header)) sstable <- ss_header(sstable, rows = header)
   if (length(body)) sstable <- ss_body(sstable, rows = body)
   if (length(section)) sstable <- ss_section(sstable, rows = section)
+  if (sum(sapply(c('header', 'section', 'body'), grepl, x=rownames(sstable), fixed=TRUE)) != nrow(sstable)) 
+    stop('Some row are not classified as header, section, or body. Perhaps you want to set .guess to TRUE?')
   class(sstable) <- c('formatted_sstable', class(sstable))
   sstable
 }
@@ -132,7 +134,7 @@ ss_guess_format.default <- function(sstable){
                     r <- sstable[i,]
                     if (isTRUE(grepl("header", rownames(sstable)[i]))) return("header")
                     if (all(is.na(suppressWarnings(as.numeric(r)))) && i <= 2) return("header")
-                    if (sum(r == '') == ncol(sstable)-1) return("section")
+                    if (sum(r == '', na.rm=TRUE) == ncol(sstable)-1) return("section")
                     return("body")
                   })
   return(guess)
@@ -143,7 +145,7 @@ ss_guess_format.ae_tbl <- function(sstable){
                   function(i){
                     if (i <= 2) return('header')
                     r <- sstable[i, ]
-                    if (sum(r == '') >= 2) return('section')
+                    if (sum(r == '', na.rm=TRUE) >= 2) return('section')
                     return('body')
                   })
   return(guess)
@@ -241,7 +243,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
     for (i in seq_along(ss.header2)[-1])
       ft <- flextable::add_header_row(ft, values = ss.header2[[i]], top = F)
 
-  ft <- flextable::merge_h(ft, part = "header")
+  ft <- flextable::merge_h(ft, i = 1:(length(ss.header2)-1), part = "header")
   ft <- flextable::merge_v(ft, part = "header")
 
   ## footer format
@@ -254,7 +256,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
   for (k in section){
     ft <- flextable::bold(ft, i = k-length(header), j = 1:ncol(sstable), part = 'body')
     ### merging cells that from the left if the whole row is empty
-    if (all(sstable[k, -1] == ''))
+    if (all(sstable[k, -1] == '') %in% TRUE)
       ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = 'body')
   }
 
@@ -263,9 +265,20 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
   ft <- flextable::autofit(ft)
   ### alignment
   ft <- flextable::align(ft, j = 1, align = "left", part = "all")
+  
+  ft_sstheme(ft)
+}
+
+
+#' Flextable theming for sstable
+#' 
+#' @description Theming flextable for sstable
+#' @param ft flextable
+#' @export 
+ft_sstheme <- function(ft){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
-  ### background
+   ### background
   ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(sstable[-header,]), by = 2), j = 1:length(ss.header2[[1]]),
                       bg = bg, part = "body")
   ### border

From 869429c469218c2669b7c0ae9b87ab43d33b9541 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 13 Jun 2024 14:40:10 +0700
Subject: [PATCH 064/193] add RMST to survcomp

---
 .vscode/settings.json            |   3 +
 DESCRIPTION                      |   7 +-
 NAMESPACE                        |   1 +
 R/sstable.R                      | 292 +++++++++++++++++++++++++------
 man/ft_sstheme.Rd                |  14 ++
 man/sstable.survcomp.Rd          |  37 ++--
 man/sstable.survcomp.subgroup.Rd |  15 +-
 7 files changed, 297 insertions(+), 72 deletions(-)
 create mode 100644 .vscode/settings.json
 create mode 100644 man/ft_sstheme.Rd

diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000..426d019
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+    "vim.useSystemClipboard": true
+}
diff --git a/DESCRIPTION b/DESCRIPTION
index 3f7f4cd..7302b69 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.5-202001
+Version: 0.1.5-022405
 Author: Lam Phung Khanh
 Maintainer@R: 
     c(
@@ -39,8 +39,9 @@ Imports:
     tidyr,
     rlang,
     purrr,
-    formula.tools
-RoxygenNote: 7.0.2
+    formula.tools,
+    eventglm
+RoxygenNote: 7.3.1
 Suggests: knitr,
     rmarkdown,
     huxtable,
diff --git a/NAMESPACE b/NAMESPACE
index f8395be..d8bce63 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -37,6 +37,7 @@ export(contSummary)
 export(convert.info)
 export(createProject)
 export(explicit)
+export(ft_sstheme)
 export(getlabel)
 export(gg_boxcox)
 export(ht_theme_kable)
diff --git a/R/sstable.R b/R/sstable.R
index eb0dac9..16f6e58 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -958,48 +958,82 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
 # create survival comparison table ----------------------------------------
 
-#' Summarize results for a Cox survival model with the treatment arm as the main covariate
+#' Summarize results for a Cox survival model or restricted mean survival time with the treatment arm as the main covariate
 #'
-#' @description A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate
+#' @description A function to summarize results for a survival model with the treatment arm (variable "arm") as the main covariate
 #'
-#' @param model a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
-#' @param data a data frame to fir the Cox survival model.
-#' @param add.risk a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
-#' @param add.prop.haz.test a logical value specifies whether a test for proportional hazards should be added.
-#' @param medsum a logical value specifies whether median (IQR) of time to event should be described.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param pdigits a number specifies number of significant digits for p value.
-#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param footer a vector of strings to be used as footnote of table.
-#' @param flextable a logical value specifies whether output will be a flextable-type table.
-#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#' @param model a formula which can be used to fit the survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
+#' @param data a data frame to fit the survival model.
+#' @param add.risk [TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
+#' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
+#' @param compare.args a list of additional args for compare.methods, \n
+#' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
+#' mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
+#' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
+#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 #'
+#' @param add.prop.haz.test [TRUE] (legacy, depricated), please move this to compare.args
+#' @param medsum [TRUE] a logical value specifies whether median (IQR) of time to event should be described.
+#' @param digits [2] a number specifies number of significant digits for numeric statistics.
+#' @param pdigits [3] a number specifies number of significant digits for p value.
+#' @param pcutoff [0.001] a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param footer a [NULL] vector of strings to be used as footnote of table.
+#' @param flextable [TRUE] a logical value specifies whether output will be a flextable-type table.
+#' @param bg [#F2EFEE] a character specifies color of the odd rows in the body of flextable-type table.
 #' @return a flextable-type table or a list with values/headers/footers
 #'
 #' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
-sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = TRUE, medsum = TRUE,
-                             digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
+sstable.survcomp <- function(model, data, add.risk = TRUE,
+  compare.method = c('cox', 'rmst'),
+  compare.args = list(),
+  add.prop.haz.test = TRUE, medsum = TRUE,
+  digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("survival")
 
+  # Initialise the table --------------------------
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
+  compare.method <- match.arg(compare.method)
 
   arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
+  if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
   arm.names <- levels(data[, arm.var])
+  if (length(arm.names) > 2) stop('At the moment, only two-arm studies are supported. A lot of code has coveraged for more than 2 arms but please think about what should be compared in those cases (chunk test or pairwise test for instance) before implementing / trinhdhk.')
 
   # Table header
   header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
-  header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), "HR (95%CI); p-value")
+  compare.stat <- switch(compare.method,
+    cox = 'HR',
+    rmst = if (is.null(compare.args$type)) 'RMST difference'
+           else switch(compare.args$type,
+                      diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
+
+  header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), paste(compare.stat, "(95%CI); p-value"))
   header <- rbind(header1, header2)
   result <- rbind(header, "")
 
   ## footer
-  footer <- c("HR = hazard ratio; IQR = interquartile range.", "HR and p value were based on Cox proportional hazards models.", footer)
-
+  compare.note <- switch(
+    compare.stat,
+    'HR' = 'HR = hazard ratio',
+    'RMST difference' = 'RMST: Restricted mean survival time',
+    'RMST ratio' = 'RMST: Restricted mean survival time',
+    'RMTL ratio' = 'RMTL: Restricted mean time lost'
+  )
+  compare.name <- switch(compare.method, cox='Cox proportional hazards', rmst='Restricted mean survival time')
+  footer <- c(
+    paste0(compare.note, "; IQR = interquartile range."),
+    paste(compare.stat, "and p value were based on", compare.name, "survival models."),
+    footer)
+
+
+  # Descriptive analysis ---------------------------
   # add number of events and risks
   fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
+  # [Trinhdhk] Use integer.max instead of Inf b/c summary.survfit does not want Inf anymore. 05/24
   fit.surv <- summary(fit.surv0, time = .Machine$integer.max, extend = TRUE)
 
   if (length(unique(data[, arm.var])) < length(arm.names)) {
@@ -1014,42 +1048,121 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
   idx <- which(arm.names %in% unique(data[, arm.var]))
   result[3, 1:length(arm.names)] <- rep("-", length(arm.names))
   result[3, idx] <- events.n
-  #browser()
-  if (length(events.n) < length(arm.names)) {
+
+
+
+  # Comparison --------------------------------------
+  if (compare.method == "cox"){
+    if (!is.null(compare.args$add.prop.haz.test)) add.prop.haz.test <- compare.args$add.prop.haz.test
+    if (length(events.n) < length(arm.names)) {
     result[3, length(arm.names) + 1] <- "-"
     if (add.prop.haz.test){result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))}
-  } else {
-    # add HR, CI, p-value
-    fit.coxph <- survival::coxph(model, data)
-    est <- coef(fit.coxph)
-    hr <- formatC(exp(est), digits, format = "f")
-    result[3, length(arm.names) + 1] <- if (is.na(coef(fit.coxph))) {
-      "-"
     } else {
-      se <- sqrt(fit.coxph$var)
-      z <- abs(est/se)
-      pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
-      ci <- paste(formatC(exp(c(est - qnorm(0.975) * se, est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
-      hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
-      result[3, length(arm.names) + 1] <- hr.ci.p
-    }
+      compare.args$add.prop.haz.test <- NULL
+      compare.args$formula <- model
+      compare.args$data <- data
+      # add HR, CI, p-value
+      coxph <- survival::coxph
+      fit.coxph <- do.call(coxph, compare.args) #survival::coxph(model, data)
+      est <- coef(fit.coxph)[1:(length(arm.names)-1)] #trinhdhk: if there were more covariables than just arm, subsetting this to only get the arm
+      hr <- formatC(exp(est), digits, format = "f")
+
+      result[3, length(arm.names) + 1] <-
+        ifelse(is.na(est),"-",
+        {
+          se <- sqrt(fit.coxph$var)[[1]] # trinhdhk: if there were more covariables than just arm, $var returns a var-cov mat, this first element is the var of arm (given arm is the first covariable)
+          z <- abs(est/se)
+          pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
+          ci <- sapply(est, \(.est) {
+            paste(formatC(exp(c(.est - qnorm(0.975) * se, .est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
+          })
+          hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
+          hr.ci.p
+        })
 
-    # add test for proportional hazards
-    if (add.prop.haz.test){
-      if (is.na(est)) {
-        result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))
-      } else {
-        attr(model, ".Environment") <- environment() # needed for cox.zph to work
-        p.prop.haz <- survival::cox.zph(survival::coxph(model, data))$table[1, "p"]
-        if (is.na(p.prop.haz)) {
-          p.prop.haz <- "-"
+      # add test for proportional hazards
+      if (add.prop.haz.test){
+        if (is.na(est)) {
+          result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))
         } else {
-          p.prop.haz <- format.pval(p.prop.haz, eps = pcutoff, digits = pdigits)
+          attr(model, ".Environment") <- environment() # needed for cox.zph to work
+          p.prop.haz <- survival::cox.zph(survival::coxph(model, data))$table[1, "p"]
+          if (is.na(p.prop.haz)) {
+            p.prop.haz <- "-"
+          } else {
+            p.prop.haz <- format.pval(p.prop.haz, eps = pcutoff, digits = pdigits)
+          }
+          result <- cbind(result, c("Test for proportional hazards", "p-value", p.prop.haz))
         }
-        result <- cbind(result, c("Test for proportional hazards", "p-value", p.prop.haz))
       }
     }
+  } else {
+    requireNamespace('eventglm')
+    if (length(events.n) < length(arm.names)) {
+      result[3, length(arm.names) + 1] <- "-"
+    } else {
+      compare.args$add.prop.haz.test <- NULL
+      compare.args$formula <- model
+      compare.args$data <- data
+      type <- if (is.null(compare.args$type)) 'diff' else compare.args$type
+      compare.args$type <- NULL
+      compare.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
+      compare.args$model.censoring <- if (is.null(compare.args$model.censoring)) 'stratified'
+      compare.args$formula.censoring <- if (is.null(compare.args$formula.censoring)) as.formula(paste0("~`", arm.var, '`'))
+      # Extract the time from Surv object with the arm included
+      mf <- model.frame(update(model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
+      mf <- cbind(unclass(mf[,1]), mf[,2])
+      # Get max of stop time, is the minimum of last observed time between two arms.
+      # The stop time for right cens data is the first column ($time), for interval-cens data it is the second column ($stop)
+      # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
+      # browser()
+      minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
+      max.time <- max(mf[, ncol(mf)-2])
+      # tau for rmst is capped as minamax.time
+      if (is.null(compare.args$time)) compare.args$time <- minimax.time
+      else if (compare.args$time > minimax.time) {
+        warning(
+          sprintf('Specified time (tau) is later than maximum observed time between two arms (%.2f). Set too %.2f', minimax.time, minimax.time)
+        )
+        compare.args$time <- minimax.time
+      }
+      # If type == lost.ratio then reverse the time
+      # ie. Surv(tau - ev_time, ev) ~ .
+      if (type == 'lost.ratio') {
+        model.lhs <- formula.tools::lhs(model)
+        for (i in 2:(length(model.lhs)-1)) {
+          old <- model.lhs[[i]];
+          model.lhs[[i]] <- substitute(max.time - old, list(old=old, max.time=max.time))
+        }
+        formula.tools::lhs(model) <- model.lhs
+        # browser()
+        compare.args$formula <- model
+      }
+
+      # Perform rmeanglm
+      rmeanglm <- eventglm::rmeanglm
+      fit.rmst <- do.call(rmeanglm, compare.args)
+      est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
+      invlink <- fit.rmst$family$linkinv
+      diff <- formatC(invlink(est), digits, format = "f")
+
+      result[3, length(arm.names) + 1] <-
+        ifelse(is.na(est),"-",
+        {
+          summary.rmst <- summary(fit.rmst)$coefficients
+          p <- summary.rmst[2:length(arm.names), 'Pr(>|z|)']
+          pval <- format.pval(p, eps = pcutoff, digits = pdigits)
+          cf <- confint(fit.rmst)[2:length(arm.names),, drop=FALSE]
+          ci <- apply(cf, 1,
+            \(.cf) paste(formatC(invlink(.cf), digits, format = "f"), collapse = ", ")
+          )
+          diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
+          diff.ci.p
+        })
+    }
+
   }
+
   rownames(result) <- NULL
 
   # add label
@@ -1126,13 +1239,21 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
   return(tab)
 }
 
-#' Summarize results for a Cox survival model by treatment arm and subgroup
+#' Summarize results for a survival model by treatment arm and subgroup
 #'
-#' @description A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.
+#' @description A function to summarize results for a survival model by treatment arm (variable "arm") and subgroup.
 #'
 #' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
 #' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
 #' @param data a data frame to fir the Cox survival model.
+#' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
+#' @param compare.args a list of additional args for compare.methods, \n
+#' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
+#' mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
+#' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
+#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
+#'
 #' @param ... arguments that are passed to sstable.survcomp.
 #' @param digits a number specifies number of significant digits for numeric statistics.
 #' @param pdigits a number specifies number of significant digits for p value.
@@ -1146,14 +1267,28 @@ sstable.survcomp <- function(model, data, add.risk = TRUE, add.prop.haz.test = T
 #' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
-sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
+sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
+  compare.method = c('cox', 'rmst'),
+  compare.args = list(),
+  digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
+
+
   requireNamespace("survival")
 
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
+  compare.method <- match.arg(compare.method)
+
+  arm.var <- if (length(base.model[[3]]) > 1) {
+    deparse(base.model[[3]][[2]])
+  } else {
+      deparse(base.model[[3]])
+    }
+  if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
   result <- sstable.survcomp(model = base.model, data = data, medsum = FALSE, digits = digits,
+                             compare.method = compare.method, compare.args = compare.args,
                              pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
 
@@ -1162,7 +1297,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits =
   #browser()
   for (k in 1:length(subgroup.char)){
     main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
-    ia.model <- update(base.model, as.formula(paste(". ~ . + arm *", subgroup.char[k], sep = "")))
+    ia.model <- update(base.model, as.formula(paste(". ~ . +`", arm.var,  "`*", subgroup.char[k], sep = "")))
     data$.subgroup.var <- data[, subgroup.char[k]]
     factor.levels <- levels(data[, subgroup.char[k]])
 
@@ -1170,7 +1305,40 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits =
     result <- rbind(result, "")
     result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
                                       subgroup.char[k], attr(data[, subgroup.char[k]], "label"))
-    ia.pval <- anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "Pr(>|Chi|)"]
+    ia.pval <-
+      if (compare.method == 'cox')
+        anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "Pr(>|Chi|)"]
+      else{
+        fitter <- eventglm::rmeanglm
+        ia.args <- compare.args
+        ia.args$add.prop.haz.test <- NULL
+        # ia.args$formula <- ia.model
+        ia.args$data <- data
+        type <- if (is.null(ia.args$type)) 'diff' else ia.args$type
+        ia.args$type <- NULL
+        ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
+        ia.args$model.censoring <- if (is.null(ia.args$model.censoring)) 'stratified'
+        ia.args$formula.censoring <- if (is.null(ia.args$formula.censoring)) as.formula(paste0("~`", arm.var,'`'))
+        mf <- model.frame(update(base.model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
+        mf <- cbind(unclass(mf[,1]), mf[,2])
+        # Get max of stop time, is the minimum of last observed time between two arms.
+        # The stop time for right cens data is the first column ($time), for interval-cens data it is the second column ($stop)
+        # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
+        # browser()
+        minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
+        # tau for rmst is capped as minamax.time
+        if (is.null(ia.args$time)) ia.args$time <- minimax.time
+        else if (ia.args$time > minimax.time) {
+          ia.args$time <- minimax.time
+        }
+        # browser()
+        anova(
+          do.call(fitter, append(ia.args, c(formula=ia.model))),
+          do.call(fitter, append(ia.args, c(formula=main.model))),
+         test = "Chisq"
+        )[2, "Pr(>Chi)"]
+      }
+
     result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level
@@ -1179,15 +1347,31 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data, digits =
       result[nrow(result), 1] <- paste("-", factor.levels[j])
       d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
       result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup,
+                                                                     compare.method = compare.method, compare.args = compare.args,
                                                                      medsum = FALSE, digits = digits, pdigits = pdigits, pcutoff = pcutoff,
                                                                      flextable = FALSE, ...)$table[3,-1]
     }
   }
   ## footer
-  footer <- c("HR = hazard ratio.",
-              "HR and p value were based on Cox proportional hazards models.",
-              "Test for heterogeneity is an interaction test between treatment effect and each subgroup in a Cox proportional hazard model (not include other variables).",
-              footer)
+  compare.stat <- switch(compare.method,
+    cox = 'HR',
+    rmst = if (is.null(compare.args$type)) 'RMST difference'
+           else switch(compare.args$type,
+                      diff = 'RMST different', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
+
+  compare.name <- switch(compare.method, cox='Cox proportional hazards', rmst='Restricted mean survival time')
+  compare.note <- switch(
+    compare.stat,
+    'HR' = 'HR = hazard ratio',
+    'RMST difference' = 'RMST: Restricted mean survival time',
+    'RMST ratio' = 'RMST: Restricted mean survival time',
+    'RMTL ratio' = 'RMST: Restricted mean time lost'
+  )
+  footer <- c(
+    compare.note,
+    paste(compare.stat, "and p value were based on", compare.name,"models."),
+    "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
+    footer)
 
   # flextable
   if (flextable) {
diff --git a/man/ft_sstheme.Rd b/man/ft_sstheme.Rd
new file mode 100644
index 0000000..c6a3aa9
--- /dev/null
+++ b/man/ft_sstheme.Rd
@@ -0,0 +1,14 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{ft_sstheme}
+\alias{ft_sstheme}
+\title{Flextable theming for sstable}
+\usage{
+ft_sstheme(ft)
+}
+\arguments{
+\item{ft}{flextable}
+}
+\description{
+Theming flextable for sstable
+}
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 2b37e47..71f7a3b 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -2,12 +2,14 @@
 % Please edit documentation in R/sstable.R
 \name{sstable.survcomp}
 \alias{sstable.survcomp}
-\title{Summarize results for a Cox survival model with the treatment arm as the main covariate}
+\title{Summarize results for a Cox survival model or restricted mean survival time with the treatment arm as the main covariate}
 \usage{
 sstable.survcomp(
   model,
   data,
   add.risk = TRUE,
+  compare.method = c("cox", "rmst"),
+  compare.args = list(),
   add.prop.haz.test = TRUE,
   medsum = TRUE,
   digits = 2,
@@ -19,33 +21,42 @@ sstable.survcomp(
 )
 }
 \arguments{
-\item{model}{a formula which can be used to fit the Cox survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.}
+\item{model}{a formula which can be used to fit the survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.}
 
-\item{data}{a data frame to fir the Cox survival model.}
+\item{data}{a data frame to fit the survival model.}
 
-\item{add.risk}{a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
+\item{add.risk}{[TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
 
-\item{add.prop.haz.test}{a logical value specifies whether a test for proportional hazards should be added.}
+\item{compare.method}{['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time}
 
-\item{medsum}{a logical value specifies whether median (IQR) of time to event should be described.}
+\item{compare.args}{a list of additional args for compare.methods, \n
+For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
+mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
+`type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
+other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
 
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
+\item{add.prop.haz.test}{[TRUE] (legacy, depricated), please move this to compare.args}
 
-\item{pdigits}{a number specifies number of significant digits for p value.}
+\item{medsum}{[TRUE] a logical value specifies whether median (IQR) of time to event should be described.}
 
-\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+\item{digits}{[2] a number specifies number of significant digits for numeric statistics.}
 
-\item{footer}{a vector of strings to be used as footnote of table.}
+\item{pdigits}{[3] a number specifies number of significant digits for p value.}
 
-\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+\item{pcutoff}{[0.001] a number specifies threshold value of p value to be displayed as "< pcutoff".}
 
-\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+\item{footer}{a [NULL] vector of strings to be used as footnote of table.}
+
+\item{flextable}{[TRUE] a logical value specifies whether output will be a flextable-type table.}
+
+\item{bg}{[#F2EFEE] a character specifies color of the odd rows in the body of flextable-type table.}
 }
 \value{
 a flextable-type table or a list with values/headers/footers
 }
 \description{
-A function to summarize results for a Cox survival model with the treatment arm (variable "arm") as the main covariate
+A function to summarize results for a survival model with the treatment arm (variable "arm") as the main covariate
 }
 \author{
 This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index c1e110e..68ec5c0 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -2,12 +2,14 @@
 % Please edit documentation in R/sstable.R
 \name{sstable.survcomp.subgroup}
 \alias{sstable.survcomp.subgroup}
-\title{Summarize results for a Cox survival model by treatment arm and subgroup}
+\title{Summarize results for a survival model by treatment arm and subgroup}
 \usage{
 sstable.survcomp.subgroup(
   base.model,
   subgroup.model,
   data,
+  compare.method = c("cox", "rmst"),
+  compare.args = list(),
   digits = 2,
   pdigits = 3,
   pcutoff = 0.001,
@@ -24,6 +26,15 @@ sstable.survcomp.subgroup(
 
 \item{data}{a data frame to fir the Cox survival model.}
 
+\item{compare.method}{['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time}
+
+\item{compare.args}{a list of additional args for compare.methods, \n
+For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
+mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
+`type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
+other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
+
 \item{digits}{a number specifies number of significant digits for numeric statistics.}
 
 \item{pdigits}{a number specifies number of significant digits for p value.}
@@ -42,7 +53,7 @@ sstable.survcomp.subgroup(
 a flextable-type table or a list with values/headers/footers
 }
 \description{
-A function to summarize results for a Cox survival model by treatment arm (variable "arm") and subgroup.
+A function to summarize results for a survival model by treatment arm (variable "arm") and subgroup.
 }
 \author{
 This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.

From 99e06cbb2e163a37718cd5ceaf9c72b130d953c8 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 13 Jun 2024 18:56:43 +0700
Subject: [PATCH 065/193] add documentation

---
 NAMESPACE          |  1 +
 R/getlabel.R       |  2 +-
 R/group_effect.R   |  2 ++
 R/simple_relevel.R |  2 +-
 README.Rmd         | 42 ++++++++++++++++++++++++++++---
 README.md          | 63 +++++++++++++++++++++++++++++++++++++++++++---
 man/simple_sort.Rd |  2 +-
 7 files changed, 103 insertions(+), 11 deletions(-)

diff --git a/NAMESPACE b/NAMESPACE
index d8bce63..165cb77 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -31,6 +31,7 @@ S3method(summarise_f,data.frame)
 S3method(summarise_f,data.table)
 S3method(summarise_f,grouped_df)
 S3method(summarise_f,tbl)
+S3method(t,subgroup_logist_summary)
 export("ref_lv<-")
 export(as_sstable)
 export(contSummary)
diff --git a/R/getlabel.R b/R/getlabel.R
index 8f0808c..73f2565 100644
--- a/R/getlabel.R
+++ b/R/getlabel.R
@@ -4,7 +4,7 @@
 #'
 #' @param x a vector or data frame to get label.
 #' @param meta a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).
-#' @param unit a logical value specifies whether unit will be appendded in the label of continous variables.
+#' @param unit a logical value specifies whether unit will be appended in the label of continuous variables.
 #' @param fit a logical value specifies whether the label will use presentation as in model fitting.
 #'
 #' @return vector of character of label
diff --git a/R/group_effect.R b/R/group_effect.R
index e0e557d..b9d8dcf 100644
--- a/R/group_effect.R
+++ b/R/group_effect.R
@@ -226,7 +226,9 @@ print.subgroup_logist_summary <- function(x, ...){
 #' @return
 #' If x is a simplified subgroup_logist_summary (aka a data.frame), return itself. Otherwise, a transposed list of class subgroup_logist_summary
 #' @seealso \link{t}
+#' @S3method t subgroup_logist_summary 
 #' @author Trinh Dong Huu Khanh
+#' @export
 #' @examples
 #' y = sample(0:1, 1000, replace = T)
 #' x1 = sample(1:100, 1000, replace = T)
diff --git a/R/simple_relevel.R b/R/simple_relevel.R
index b8824ca..d7c0a66 100644
--- a/R/simple_relevel.R
+++ b/R/simple_relevel.R
@@ -80,7 +80,7 @@ simple_relevel.default <- function(x, by, map, value = c('unsorted', 'sorted', '
 }
 
 #' Sort a vector in a user-defined order
-#' @description A function to sort a vector i an user-defined order
+#' @description A function to sort a vector in an user-defined order
 #' @param x A vector to be sorted
 #' @param order A manually defined order vector
 #' @return A vector
diff --git a/README.Rmd b/README.Rmd
index ea3ef3b..06e1fe9 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -22,10 +22,44 @@ You can install C306 from github with:
 
 ```{r gh-installation, eval = FALSE}
 # install.packages("devtools")
-devtools::install_github("oucru-biostats/C306")
+devtools::install_github("oucru-biostats/C306@feature-rmst")
 ```
 
-## Website
+## List of functions
 
-Documentation of this package can be found at:
-[http://lampk.github.io/C306/](http://lampk.github.io/C306/)
+### Main functions
+
+These functions' purpose are to generate report tables, outputting a flextable or a intermediate object of class `ss_table` for post-hoc manipulation.
+
+- `sstable.baseline` function to generate baseline table 1.
+- `sstable.survcomp` function to generate dual arm descriptive and inferential analysis for time-to-event outcome, supporting *Cox pH* and *Restricted mean surival time* models
+- `sstable.survcomp.subgroup` extending `sstable.survcomp` for subgroup analyses
+- `sstable.ae` function to generate adverse event tables with $\chi^2$ or Fisher test for comparision.
+
+### sstable manipulation
+
+These function provides helper to create ss_table-esque output, with supporting function to convert them to flextable or huxtable.
+
+- `ssformat` function to convert an arbitrary matrix to an sstable
+- `ss_flextable` function to convert an sstable to a flextable
+- `ss_huxtable` function to convert an sstable to a huxtable
+- `ft_sstheme` function to decorate an arbitrary flextable to have an sstable-esque theme
+- `ht_theme_markdown` and `ht_theme_kable` functions to decorate huxtable to follow a sstable-esque theme
+- `as_sstable` converting objects to sstable
+
+### OUCRU function written by Lam PK
+
+- `import.info` and `convert.info` import and convert OUCRU dictionary to C306 style dict to use for data inspection
+- `insepct.data` function to check data for error based on a dictionary by `convert.info`
+- `myformat.data` function to reformat the data to readable form base on the dictionary by `convert.info`
+- `labAE` function to determine a laboratory AE based on a threshold
+
+### Helper function written by Trinh Dong
+
+- `logist_summary` based on a function by OUCRU Biostats group, reporting the OR of logistic regression
+- `subgroup_effect` extends `logist_summary` to report the subgroup OR of variables that have interaction with a common covariate (i.e. treatment arm).
+
+- `gg_boxcox` same with `MASS::boxcox` but in ggplot
+- `mutate_f` and `summarise_f` perform multiple assignment for data.frame by `c(a,b):=list(v_a, v_b)`
+- `simple_relevel` relevels a factor correposnding to the level of another factor
+- `simple_recode` pattern-based recoding of data by in-place replacement
diff --git a/README.md b/README.md
index c27583c..804b01c 100644
--- a/README.md
+++ b/README.md
@@ -12,10 +12,65 @@ You can install C306 from github with:
 
 ``` r
 # install.packages("devtools")
-devtools::install_github("oucru-biostats/C306")
+devtools::install_github("oucru-biostats/C306@feature-rmst")
 ```
 
-## Website
+## List of functions
 
-Documentation of this package can be found at:
-<http://lampk.github.io/C306/>
+### Main functions
+
+These functions’ purpose are to generate report tables, outputting a
+flextable or a intermediate object of class `ss_table` for post-hoc
+manipulation.
+
+- `sstable.baseline` function to generate baseline table 1.
+- `sstable.survcomp` function to generate dual arm descriptive and
+  inferential analysis for time-to-event outcome, supporting *Cox pH*
+  and *Restricted mean surival time* models
+- `sstable.survcomp.subgroup` extending `sstable.survcomp` for subgroup
+  analyses
+- `sstable.ae` function to generate adverse event tables with $\chi^2$
+  or Fisher test for comparision.
+
+### sstable manipulation
+
+These function provides helper to create ss_table-esque output, with
+supporting function to convert them to flextable or huxtable.
+
+- `ssformat` function to convert an arbitrary matrix to an sstable
+- `ss_flextable` function to convert an sstable to a flextable
+- `ss_huxtable` function to convert an sstable to a huxtable
+- `ft_sstheme` function to decorate an arbitrary flextable to have an
+  sstable-esque theme
+- `ht_theme_markdown` and `ht_theme_kable` functions to decorate
+  huxtable to follow a sstable-esque theme
+- `as_sstable` converting objects to sstable
+
+### OUCRU function written by Lam PK
+
+- `import.info` and `convert.info` import and convert OUCRU dictionary
+  to C306 style dict to use for data inspection
+- `insepct.data` function to check data for error based on a dictionary
+  by `convert.info`
+- `myformat.data` function to reformat the data to readable form base on
+  the dictionary by `convert.info`
+- `labAE` function to determine a laboratory AE based on a threshold
+
+### Helper function written by Trinh Dong
+
+- `logist_summary` based on a function by OUCRU Biostats group,
+  reporting the OR of logistic regression
+
+- `subgroup_effect` extends `logist_summary` to report the subgroup OR
+  of variables that have interaction with a common covariate
+  (i.e. treatment arm).
+
+- `gg_boxcox` same with `MASS::boxcox` but in ggplot
+
+- `mutate_f` and `summarise_f` perform multiple assignment for
+  data.frame by `c(a,b):=list(v_a, v_b)`
+
+- `simple_relevel` relevels a factor correposnding to the level of
+  another factor
+
+- `simple_recode` pattern-based recoding of data by in-place replacement
diff --git a/man/simple_sort.Rd b/man/simple_sort.Rd
index 17670eb..9d5bab3 100644
--- a/man/simple_sort.Rd
+++ b/man/simple_sort.Rd
@@ -15,5 +15,5 @@ simple_sort(x, order = levels(as.factor(x)))
 A vector
 }
 \description{
-A function to sort a vector i an user-defined order
+A function to sort a vector in an user-defined order
 }

From a53a9f5df1930f2a9bf42fa3a7b8e6c19940204b Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 11:07:06 +0700
Subject: [PATCH 066/193] fix bug ft_sstheme

---
 R/ssformat.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 064995b..eca49c0 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -279,7 +279,7 @@ ft_sstheme <- function(ft){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
    ### background
-  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(sstable[-header,]), by = 2), j = 1:length(ss.header2[[1]]),
+  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(ft$body$dataset), by = 2), j = 1:ncol(ft$body$dataset)),
                       bg = bg, part = "body")
   ### border
   tabbd <- officer::fp_border(color="black", width = 1.5)

From 9c95e5a40feacd9b7b6027b82327dd8748d518dd Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 11:09:42 +0700
Subject: [PATCH 067/193] fix bug ft_sstheme

---
 R/ssformat.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index eca49c0..5fb0ae6 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -279,7 +279,7 @@ ft_sstheme <- function(ft){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
    ### background
-  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(ft$body$dataset), by = 2), j = 1:ncol(ft$body$dataset)),
+  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(ft$body$dataset), by = 2), j = 1:ncol(ft$body$dataset),
                       bg = bg, part = "body")
   ### border
   tabbd <- officer::fp_border(color="black", width = 1.5)

From 7a568dc3b318eb26825bd665bdcc72f30285309a Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 11:14:43 +0700
Subject: [PATCH 068/193] fix bug ft_sstheme

---
 R/ssformat.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 5fb0ae6..e13d584 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -266,7 +266,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
   ### alignment
   ft <- flextable::align(ft, j = 1, align = "left", part = "all")
   
-  ft_sstheme(ft)
+  ft_sstheme(ft, bg = "#F2EFEE" )
 }
 
 
@@ -275,7 +275,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 #' @description Theming flextable for sstable
 #' @param ft flextable
 #' @export 
-ft_sstheme <- function(ft){
+ft_sstheme <- function(ft, bg){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
    ### background

From a97e260b556f34739a7c383a08c49adbef25c4fc Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 12:26:09 +0700
Subject: [PATCH 069/193] fix bug for ff_sstheme

---
 R/ssformat.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index e13d584..380f0dd 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -275,7 +275,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 #' @description Theming flextable for sstable
 #' @param ft flextable
 #' @export 
-ft_sstheme <- function(ft, bg){
+ft_sstheme <- function(ft, bg = "#F2EFEE"){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
    ### background

From 0abae481c58c57de65bccc2f266bf8acd0b34a41 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 15:39:29 +0700
Subject: [PATCH 070/193] reverse the level for comparison

---
 R/sstable.R | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 16f6e58..92832da 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -849,7 +849,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                       else
                         lapply(paste0('~desc(', sort.var,if (sort.var != 'p') paste0('.', c('all',seq_along(arm_lev))), ')'), env = parent.frame(), as.formula)
                     })
-      ))
+      ), env=NULL)
 
 
     ae_value.sorted <- do.call(rbind,
@@ -964,7 +964,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #'
 #' @param model a formula which can be used to fit the survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
 #' @param data a data frame to fit the survival model.
-#' @param add.risk [TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
+#' @param add.risk [TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.O#
+#' @param reference.arm [B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
 #' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
 #' @param compare.args a list of additional args for compare.methods, \n
 #' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
@@ -972,7 +973,6 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
 #' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 #' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
-#'
 #' @param add.prop.haz.test [TRUE] (legacy, depricated), please move this to compare.args
 #' @param medsum [TRUE] a logical value specifies whether median (IQR) of time to event should be described.
 #' @param digits [2] a number specifies number of significant digits for numeric statistics.
@@ -986,17 +986,20 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
-sstable.survcomp <- function(model, data, add.risk = TRUE,
-  compare.method = c('cox', 'rmst'),
-  compare.args = list(),
-  add.prop.haz.test = TRUE, medsum = TRUE,
-  digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
+sstable.survcomp <- function(
+    model, data, add.risk = TRUE,
+    reference.arm = c('B', 'A'),
+    compare.method = c('cox', 'rmst'),
+    compare.args = list(),
+    add.prop.haz.test = TRUE, medsum = TRUE,
+    digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("survival")
 
   # Initialise the table --------------------------
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
   compare.method <- match.arg(compare.method)
+  reference.arm <- match.arg(reference.arm)
 
   arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
@@ -1052,6 +1055,8 @@ sstable.survcomp <- function(model, data, add.risk = TRUE,
 
 
   # Comparison --------------------------------------
+  # Re-base the arm factor
+  if (reference.arm == 'B') levels(data[, arm.var]) <- rev(arm.names)
   if (compare.method == "cox"){
     if (!is.null(compare.args$add.prop.haz.test)) add.prop.haz.test <- compare.args$add.prop.haz.test
     if (length(events.n) < length(arm.names)) {

From 3e3cba73d0a40a30889e44ad73b8074fff9b7df4 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 18:33:56 +0700
Subject: [PATCH 071/193] add time arg to descriptive

---
 R/sstable.R | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 92832da..ecef9bf 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -965,12 +965,13 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' @param model a formula which can be used to fit the survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
 #' @param data a data frame to fit the survival model.
 #' @param add.risk [TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.O#
+#' @param time [Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+#' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
 #' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
 #' @param compare.args a list of additional args for compare.methods, \n
 #' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
 #' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-#' mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
 #' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 #' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 #' @param add.prop.haz.test [TRUE] (legacy, depricated), please move this to compare.args
@@ -988,6 +989,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' @export
 sstable.survcomp <- function(
     model, data, add.risk = TRUE,
+    time = Inf,
     reference.arm = c('B', 'A'),
     compare.method = c('cox', 'rmst'),
     compare.args = list(),
@@ -1035,9 +1037,10 @@ sstable.survcomp <- function(
 
   # Descriptive analysis ---------------------------
   # add number of events and risks
+  time2 <- if (time == Inf) .Machine$integer.max else time
   fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
   # [Trinhdhk] Use integer.max instead of Inf b/c summary.survfit does not want Inf anymore. 05/24
-  fit.surv <- summary(fit.surv0, time = .Machine$integer.max, extend = TRUE)
+  fit.surv <- summary(fit.surv0, time = time, extend = TRUE)
 
   if (length(unique(data[, arm.var])) < length(arm.names)) {
     tmp <- fit.surv$table
@@ -1106,6 +1109,7 @@ sstable.survcomp <- function(
     if (length(events.n) < length(arm.names)) {
       result[3, length(arm.names) + 1] <- "-"
     } else {
+      compare.args$time <- time
       compare.args$add.prop.haz.test <- NULL
       compare.args$formula <- model
       compare.args$data <- data
@@ -1126,7 +1130,7 @@ sstable.survcomp <- function(
       # tau for rmst is capped as minamax.time
       if (is.null(compare.args$time)) compare.args$time <- minimax.time
       else if (compare.args$time > minimax.time) {
-        warning(
+        if (time != Inf) warning(
           sprintf('Specified time (tau) is later than maximum observed time between two arms (%.2f). Set too %.2f', minimax.time, minimax.time)
         )
         compare.args$time <- minimax.time

From abc079be1375e54e77ea1c4b029097c5a5d6900b Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 18:37:34 +0700
Subject: [PATCH 072/193] update docs

---
 man/ft_sstheme.Rd       |  2 +-
 man/getlabel.Rd         |  2 +-
 man/sstable.survcomp.Rd | 10 ++++++++--
 3 files changed, 10 insertions(+), 4 deletions(-)

diff --git a/man/ft_sstheme.Rd b/man/ft_sstheme.Rd
index c6a3aa9..4978e09 100644
--- a/man/ft_sstheme.Rd
+++ b/man/ft_sstheme.Rd
@@ -4,7 +4,7 @@
 \alias{ft_sstheme}
 \title{Flextable theming for sstable}
 \usage{
-ft_sstheme(ft)
+ft_sstheme(ft, bg = "#F2EFEE")
 }
 \arguments{
 \item{ft}{flextable}
diff --git a/man/getlabel.Rd b/man/getlabel.Rd
index 2dcb9c4..c75c7ee 100644
--- a/man/getlabel.Rd
+++ b/man/getlabel.Rd
@@ -11,7 +11,7 @@ getlabel(x, meta = NULL, unit = TRUE, fit = FALSE)
 
 \item{meta}{a data frame contains metadata of the dataset. This data frame should have the following variables: varname (character variable specifies name of each variable), label (character variable specifies label of each variables), type (character variable specifies type of each variable [numeric, factor, character, datetime], unit (character variable specifies units of each continuous variable), scale (numeric variable specifies how each variable will be scaled).}
 
-\item{unit}{a logical value specifies whether unit will be appendded in the label of continous variables.}
+\item{unit}{a logical value specifies whether unit will be appended in the label of continuous variables.}
 
 \item{fit}{a logical value specifies whether the label will use presentation as in model fitting.}
 }
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 71f7a3b..03a8521 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -8,6 +8,8 @@ sstable.survcomp(
   model,
   data,
   add.risk = TRUE,
+  time = Inf,
+  reference.arm = c("B", "A"),
   compare.method = c("cox", "rmst"),
   compare.args = list(),
   add.prop.haz.test = TRUE,
@@ -25,14 +27,18 @@ sstable.survcomp(
 
 \item{data}{a data frame to fit the survival model.}
 
-\item{add.risk}{[TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
+\item{add.risk}{[TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.O#}
+
+\item{time}{[Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+(minimax of the observed time across two arms in RMST model)}
+
+\item{reference.arm}{[B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
 \item{compare.method}{['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time}
 
 \item{compare.args}{a list of additional args for compare.methods, \n
 For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
 For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
 `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
 

From 7317834f39ba64f289d9088a71c17c71e98865d3 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 18:47:26 +0700
Subject: [PATCH 073/193] Update sstable.R

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index ecef9bf..7496390 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1040,7 +1040,7 @@ sstable.survcomp <- function(
   time2 <- if (time == Inf) .Machine$integer.max else time
   fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
   # [Trinhdhk] Use integer.max instead of Inf b/c summary.survfit does not want Inf anymore. 05/24
-  fit.surv <- summary(fit.surv0, time = time, extend = TRUE)
+  fit.surv <- summary(fit.surv0, time = time2, extend = TRUE)
 
   if (length(unique(data[, arm.var])) < length(arm.names)) {
     tmp <- fit.surv$table

From 8b7644d3aa686420dcf69b08d27023e84317f176 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 19:05:35 +0700
Subject: [PATCH 074/193] the summary table always returns at Inf

---
 R/sstable.R | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 7496390..288d1d9 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1042,14 +1042,15 @@ sstable.survcomp <- function(
   # [Trinhdhk] Use integer.max instead of Inf b/c summary.survfit does not want Inf anymore. 05/24
   fit.surv <- summary(fit.surv0, time = time2, extend = TRUE)
 
-  if (length(unique(data[, arm.var])) < length(arm.names)) {
-    tmp <- fit.surv$table
-    dim(tmp) <- c(length(unique(data[, arm.var])), length(tmp))
-    colnames(tmp) <- names(fit.surv$table)
-  } else {
-    tmp <- fit.surv$table
-  }
-  events.n <- paste(tmp[, "events"], tmp[, "n.max"], sep = "/")
+  # [Trinhdhk] This is crap as always returns at inf
+  # if (length(unique(data[, arm.var])) < length(arm.names)) {
+  #   tmp <- fit.surv$table
+  #   dim(tmp) <- c(length(unique(data[, arm.var])), length(tmp))
+  #   colnames(tmp) <- names(fit.surv$table)
+  # } else {
+  #   tmp <- fit.surv$table
+  # }
+  events.n <- paste(fit.surv$n.event, fit.surv$n, sep = "/")
   if (add.risk) events.n <- paste(events.n, " (", formatC(100*(1 - fit.surv$surv), digits, format = "f"), ")", sep="")
   idx <- which(arm.names %in% unique(data[, arm.var]))
   result[3, 1:length(arm.names)] <- rep("-", length(arm.names))

From 870fb13263245e1756e0ada3cf00a7e200a58a01 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 14 Jun 2024 19:20:48 +0700
Subject: [PATCH 075/193] add `time` for subgroup

---
 R/sstable.R                      | 5 +++--
 man/sstable.survcomp.subgroup.Rd | 4 +++-
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 288d1d9..86ea81c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1256,11 +1256,12 @@ sstable.survcomp <- function(
 #' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
 #' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
 #' @param data a data frame to fir the Cox survival model.
+#' @param time [Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+#' (minimax of the observed time across two arms in RMST model)
 #' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
 #' @param compare.args a list of additional args for compare.methods, \n
 #' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
 #' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-#' mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
 #' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 #' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 #'
@@ -1356,7 +1357,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
       result <- rbind(result, "")
       result[nrow(result), 1] <- paste("-", factor.levels[j])
       d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
-      result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup,
+      result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup, time=time,
                                                                      compare.method = compare.method, compare.args = compare.args,
                                                                      medsum = FALSE, digits = digits, pdigits = pdigits, pcutoff = pcutoff,
                                                                      flextable = FALSE, ...)$table[3,-1]
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index 68ec5c0..fbafd2e 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -31,7 +31,6 @@ sstable.survcomp.subgroup(
 \item{compare.args}{a list of additional args for compare.methods, \n
 For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
 For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-mandatory args are `time` the truncation time, default to the minimax of the observed time across all covariate specified in the model
 `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
 
@@ -48,6 +47,9 @@ other optional args include: model.censoring, formula.censoring, ipcw.method. Se
 \item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
 
 \item{...}{arguments that are passed to sstable.survcomp.}
+
+\item{time}{[Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+(minimax of the observed time across two arms in RMST model)}
 }
 \value{
 a flextable-type table or a list with values/headers/footers

From 0b15ced7294deeb6866aea137a1caa6e33782590 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 10:39:05 +0700
Subject: [PATCH 076/193] fix detection of arm.vars

---
 R/sstable.R | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 86ea81c..f422d33 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1003,7 +1003,8 @@ sstable.survcomp <- function(
   compare.method <- match.arg(compare.method)
   reference.arm <- match.arg(reference.arm)
 
-  arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
+  # arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
+  arm.var <- formula.tools::rhs.vars(model)[[1]]
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
   arm.names <- levels(data[, arm.var])
   if (length(arm.names) > 2) stop('At the moment, only two-arm studies are supported. A lot of code has coveraged for more than 2 arms but please think about what should be compared in those cases (chunk test or pairwise test for instance) before implementing / trinhdhk.')
@@ -1290,11 +1291,12 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   data <- as.data.frame(data)
   compare.method <- match.arg(compare.method)
 
-  arm.var <- if (length(base.model[[3]]) > 1) {
-    deparse(base.model[[3]][[2]])
-  } else {
-      deparse(base.model[[3]])
-    }
+  # arm.var <- if (length(base.model[[3]]) > 1) {
+  #   deparse(base.model[[3]][[2]])
+  # } else {
+  #     deparse(base.model[[3]])
+  #   }
+  arm.vars <- formula.tools::rhs.vars(base.model)[[1]]
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population

From 38e395262f4e01d4f8506b2caa89c620f6fa69aa Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 11:07:51 +0700
Subject: [PATCH 077/193] fix survcomp

---
 R/sstable.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index f422d33..285d135 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1115,11 +1115,11 @@ sstable.survcomp <- function(
       compare.args$add.prop.haz.test <- NULL
       compare.args$formula <- model
       compare.args$data <- data
-      type <- if (is.null(compare.args$type)) 'diff' else compare.args$type
+      if (is.null(compare.args$type)) type <- 'diff'
       compare.args$type <- NULL
       compare.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
-      compare.args$model.censoring <- if (is.null(compare.args$model.censoring)) 'stratified'
-      compare.args$formula.censoring <- if (is.null(compare.args$formula.censoring)) as.formula(paste0("~`", arm.var, '`'))
+      if (is.null(compare.args$model.censoring)) compare.args$model.censoring <- 'stratified'
+      if (is.null(compare.args$formula.censoring)) compare.args$formula.censoring <- as.formula(paste0("~`", arm.var, '`'))
       # Extract the time from Surv object with the arm included
       mf <- model.frame(update(model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
       mf <- cbind(unclass(mf[,1]), mf[,2])

From 3ddae28acef1fd0fed4f07fdcc6563ca58258423 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 11:26:40 +0700
Subject: [PATCH 078/193] Update sstable.R

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 285d135..edb23f1 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1296,7 +1296,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   # } else {
   #     deparse(base.model[[3]])
   #   }
-  arm.vars <- formula.tools::rhs.vars(base.model)[[1]]
+  arm.var <- formula.tools::rhs.vars(base.model)[[1]]
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population

From 98a7889db99584d966ade29b5edae6a80dcb44e1 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 11:40:33 +0700
Subject: [PATCH 079/193] Update sstable.R

---
 R/sstable.R | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index edb23f1..8324733 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1280,6 +1280,7 @@ sstable.survcomp <- function(
 #' @import survival
 #' @export
 sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
+  time = Inf,
   compare.method = c('cox', 'rmst'),
   compare.args = list(),
   digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
@@ -1300,7 +1301,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-  result <- sstable.survcomp(model = base.model, data = data, medsum = FALSE, digits = digits,
+  result <- sstable.survcomp(model = base.model, data = data, time=time, medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,
                              pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))

From 9bad5a5dc980fcc22f8c81b51015dc0bc7e265e9 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 12:13:57 +0700
Subject: [PATCH 080/193] Fix type of rmst

---
 R/sstable.R | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 8324733..baea062 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1072,8 +1072,8 @@ sstable.survcomp <- function(
       compare.args$formula <- model
       compare.args$data <- data
       # add HR, CI, p-value
-      coxph <- survival::coxph
-      fit.coxph <- do.call(coxph, compare.args) #survival::coxph(model, data)
+      # coxph <- survival::coxph
+      fit.coxph <- do.call(survival::coxph, compare.args) #survival::coxph(model, data)
       est <- coef(fit.coxph)[1:(length(arm.names)-1)] #trinhdhk: if there were more covariables than just arm, subsetting this to only get the arm
       hr <- formatC(exp(est), digits, format = "f")
 
@@ -1107,7 +1107,7 @@ sstable.survcomp <- function(
       }
     }
   } else {
-    requireNamespace('eventglm')
+    # requireNamespace('eventglm')
     if (length(events.n) < length(arm.names)) {
       result[3, length(arm.names) + 1] <- "-"
     } else {
@@ -1115,7 +1115,7 @@ sstable.survcomp <- function(
       compare.args$add.prop.haz.test <- NULL
       compare.args$formula <- model
       compare.args$data <- data
-      if (is.null(compare.args$type)) type <- 'diff'
+      type <- if (is.null(compare.args$type)) 'diff' else compare.args$type
       compare.args$type <- NULL
       compare.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
       if (is.null(compare.args$model.censoring)) compare.args$model.censoring <- 'stratified'
@@ -1151,8 +1151,8 @@ sstable.survcomp <- function(
       }
 
       # Perform rmeanglm
-      rmeanglm <- eventglm::rmeanglm
-      fit.rmst <- do.call(rmeanglm, compare.args)
+    # rmeanglm <- eventglm::rmeanglm
+      fit.rmst <- do.call(eventglm::rmeanglm, compare.args)
       est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
       invlink <- fit.rmst$family$linkinv
       diff <- formatC(invlink(est), digits, format = "f")
@@ -1301,7 +1301,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-  result <- sstable.survcomp(model = base.model, data = data, time=time, medsum = FALSE, digits = digits,
+result <- sstable.survcomp(model = base.model, data = data, time=time, medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,
                              pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
@@ -1323,7 +1323,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
       if (compare.method == 'cox')
         anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "Pr(>|Chi|)"]
       else{
-        fitter <- eventglm::rmeanglm
+        # fitter <- eventglm::rmeanglm
         ia.args <- compare.args
         ia.args$add.prop.haz.test <- NULL
         # ia.args$formula <- ia.model
@@ -1347,8 +1347,8 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         }
         # browser()
         anova(
-          do.call(fitter, append(ia.args, c(formula=ia.model))),
-          do.call(fitter, append(ia.args, c(formula=main.model))),
+          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
+          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
          test = "Chisq"
         )[2, "Pr(>Chi)"]
       }

From cbe10dc611ae72349080a18f7f8e19679fd374ea Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 12:42:35 +0700
Subject: [PATCH 081/193] add cuminc regression

---
 R/sstable.R                      | 58 +++++++++++++++++++++++---------
 man/sstable.survcomp.Rd          |  7 ++--
 man/sstable.survcomp.subgroup.Rd | 17 +++++++---
 3 files changed, 59 insertions(+), 23 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index baea062..eb8a6e3 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -968,9 +968,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' @param time [Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
+#' @param compare.method ['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
 #' @param compare.args a list of additional args for compare.methods, \n
 #' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#' For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
+#' `type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 #' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
 #' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 #' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
@@ -991,7 +994,7 @@ sstable.survcomp <- function(
     model, data, add.risk = TRUE,
     time = Inf,
     reference.arm = c('B', 'A'),
-    compare.method = c('cox', 'rmst'),
+    compare.method = c('cox', 'rmst', 'cuminc'),
     compare.args = list(),
     add.prop.haz.test = TRUE, medsum = TRUE,
     digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
@@ -1013,6 +1016,9 @@ sstable.survcomp <- function(
   header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
   compare.stat <- switch(compare.method,
     cox = 'HR',
+    cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
+    else switch(compare.args$type,
+                diff = 'Cumulative incidence difference', ratio = 'Cumulative incidence ratio'),
     rmst = if (is.null(compare.args$type)) 'RMST difference'
            else switch(compare.args$type,
                       diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
@@ -1025,14 +1031,19 @@ sstable.survcomp <- function(
   compare.note <- switch(
     compare.stat,
     'HR' = 'HR = hazard ratio',
+    'Cumul.inc difference' = 'Cumul.inc : Cumulative incidence',
+    'Cumul.inc ratio' = 'Cumul.inc : Cumulative incidence',
     'RMST difference' = 'RMST: Restricted mean survival time',
     'RMST ratio' = 'RMST: Restricted mean survival time',
     'RMTL ratio' = 'RMTL: Restricted mean time lost'
   )
-  compare.name <- switch(compare.method, cox='Cox proportional hazards', rmst='Restricted mean survival time')
+  compare.name <- switch(compare.method,
+                         cuminc='Generalized linear models for cumulative incidence',
+                         cox='Cox proportional hazards model',
+                         rmst='Restricted mean survival time model')
   footer <- c(
     paste0(compare.note, "; IQR = interquartile range."),
-    paste(compare.stat, "and p value were based on", compare.name, "survival models."),
+    paste(compare.stat, "and p value were based on", compare.name, '.'),
     footer)
 
 
@@ -1140,6 +1151,7 @@ sstable.survcomp <- function(
       # If type == lost.ratio then reverse the time
       # ie. Surv(tau - ev_time, ev) ~ .
       if (type == 'lost.ratio') {
+        if (compare.method == 'cuminc') stop('type lost.ratio is meaningless in cuminc comparison.')
         model.lhs <- formula.tools::lhs(model)
         for (i in 2:(length(model.lhs)-1)) {
           old <- model.lhs[[i]];
@@ -1152,7 +1164,8 @@ sstable.survcomp <- function(
 
       # Perform rmeanglm
     # rmeanglm <- eventglm::rmeanglm
-      fit.rmst <- do.call(eventglm::rmeanglm, compare.args)
+      fitter <- if (compare.method == 'rmst') eventglm::rmeanglm else eventglm::cumincglm
+      fit.rmst <- do.call(fitter, compare.args)
       est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
       invlink <- fit.rmst$family$linkinv
       diff <- formatC(invlink(est), digits, format = "f")
@@ -1259,9 +1272,13 @@ sstable.survcomp <- function(
 #' @param data a data frame to fir the Cox survival model.
 #' @param time [Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
-#' @param compare.method ['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time
+#' @param reference.arm [B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
+#' @param compare.method ['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
 #' @param compare.args a list of additional args for compare.methods, \n
 #' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#' For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
+#' `type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 #' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
 #' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 #' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
@@ -1281,7 +1298,8 @@ sstable.survcomp <- function(
 #' @export
 sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   time = Inf,
-  compare.method = c('cox', 'rmst'),
+  reference.arm = c('B', 'A'),
+  compare.method = c('cox', 'rmst', 'cuminc'),
   compare.args = list(),
   digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
 
@@ -1301,7 +1319,8 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-result <- sstable.survcomp(model = base.model, data = data, time=time, medsum = FALSE, digits = digits,
+result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
+                           medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,
                              pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
@@ -1368,22 +1387,29 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, medsum =
   }
   ## footer
   compare.stat <- switch(compare.method,
-    cox = 'HR',
-    rmst = if (is.null(compare.args$type)) 'RMST difference'
-           else switch(compare.args$type,
-                      diff = 'RMST different', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
-
-  compare.name <- switch(compare.method, cox='Cox proportional hazards', rmst='Restricted mean survival time')
+                         cox = 'HR',
+                         cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
+                         else switch(compare.args$type,
+                                     diff = 'Cumulative incidence difference', ratio = 'Cumulative incidence ratio'),
+                         rmst = if (is.null(compare.args$type)) 'RMST difference'
+                         else switch(compare.args$type,
+                                     diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
   compare.note <- switch(
     compare.stat,
     'HR' = 'HR = hazard ratio',
+    'Cumul.inc difference' = 'Cumul.inc : Cumulative incidence',
+    'Cumul.inc ratio' = 'Cumul.inc : Cumulative incidence',
     'RMST difference' = 'RMST: Restricted mean survival time',
     'RMST ratio' = 'RMST: Restricted mean survival time',
-    'RMTL ratio' = 'RMST: Restricted mean time lost'
+    'RMTL ratio' = 'RMTL: Restricted mean time lost'
   )
+  compare.name <- switch(compare.method,
+                         cuminc='Generalized linear models for cumulative incidence',
+                         cox='Cox proportional hazards model',
+                         rmst='Restricted mean survival time model')
   footer <- c(
     compare.note,
-    paste(compare.stat, "and p value were based on", compare.name,"models."),
+    paste(compare.stat, "and p value were based on", compare.name, '.'),
     "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
     footer)
 
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 03a8521..e9272ef 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -10,7 +10,7 @@ sstable.survcomp(
   add.risk = TRUE,
   time = Inf,
   reference.arm = c("B", "A"),
-  compare.method = c("cox", "rmst"),
+  compare.method = c("cox", "rmst", "cuminc"),
   compare.args = list(),
   add.prop.haz.test = TRUE,
   medsum = TRUE,
@@ -34,10 +34,13 @@ sstable.survcomp(
 
 \item{reference.arm}{[B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time}
+\item{compare.method}{['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
 
 \item{compare.args}{a list of additional args for compare.methods, \n
 For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
+`type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
 `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index fbafd2e..c83fd9f 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -8,7 +8,9 @@ sstable.survcomp.subgroup(
   base.model,
   subgroup.model,
   data,
-  compare.method = c("cox", "rmst"),
+  time = Inf,
+  reference.arm = c("B", "A"),
+  compare.method = c("cox", "rmst", "cuminc"),
   compare.args = list(),
   digits = 2,
   pdigits = 3,
@@ -26,10 +28,18 @@ sstable.survcomp.subgroup(
 
 \item{data}{a data frame to fir the Cox survival model.}
 
-\item{compare.method}{['cox'] a string, either "cox" for coxPH model or "rmst" for restricted mean survival time}
+\item{time}{[Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+(minimax of the observed time across two arms in RMST model)}
+
+\item{reference.arm}{[B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
+
+\item{compare.method}{['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
 
 \item{compare.args}{a list of additional args for compare.methods, \n
 For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
+`type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
 For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
 `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
 other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
@@ -47,9 +57,6 @@ other optional args include: model.censoring, formula.censoring, ipcw.method. Se
 \item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
 
 \item{...}{arguments that are passed to sstable.survcomp.}
-
-\item{time}{[Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
-(minimax of the observed time across two arms in RMST model)}
 }
 \value{
 a flextable-type table or a list with values/headers/footers

From 20aafa39d2643d12e29739012067c835c64a7232 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 13:13:35 +0700
Subject: [PATCH 082/193] fix printing method

---
 R/ssformat.R | 18 ++++++++++--------
 R/sstable.R  |  9 +++++++--
 2 files changed, 17 insertions(+), 10 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 380f0dd..911866f 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -117,7 +117,7 @@ ss_format <- function(sstable, header = c(), section = c(), body = c(), template
   if (length(header)) sstable <- ss_header(sstable, rows = header)
   if (length(body)) sstable <- ss_body(sstable, rows = body)
   if (length(section)) sstable <- ss_section(sstable, rows = section)
-  if (sum(sapply(c('header', 'section', 'body'), grepl, x=rownames(sstable), fixed=TRUE)) != nrow(sstable)) 
+  if (sum(sapply(c('header', 'section', 'body'), grepl, x=rownames(sstable), fixed=TRUE)) != nrow(sstable))
     stop('Some row are not classified as header, section, or body. Perhaps you want to set .guess to TRUE?')
   class(sstable) <- c('formatted_sstable', class(sstable))
   sstable
@@ -265,16 +265,16 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
   ft <- flextable::autofit(ft)
   ### alignment
   ft <- flextable::align(ft, j = 1, align = "left", part = "all")
-  
+
   ft_sstheme(ft, bg = "#F2EFEE" )
 }
 
 
 #' Flextable theming for sstable
-#' 
+#'
 #' @description Theming flextable for sstable
 #' @param ft flextable
-#' @export 
+#' @export
 ft_sstheme <- function(ft, bg = "#F2EFEE"){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
@@ -550,7 +550,7 @@ as_sstable.default <- function(x, flextable = FALSE, ...){
   colnames(out$table) <- rownames(out$table) <- NULL
   if (length(attr(x, 'footer'))) out$footer <- attr(x, 'footer')
 
-  class(out) <- c('ss_tbl', 'matrix')
+  class(out$table) <- c('ss_tbl', 'matrix')
   if (flextable) return(ss_flextable(out, ...))
   return(out)
 }
@@ -560,13 +560,15 @@ as_sstable.default <- function(x, flextable = FALSE, ...){
 as_sstable.list <- function(x, flextable = FALSE, ...){
   out <- list()
 
+  if (is.null(x$header))
+    return(as_sstable.default(x, flextable = flextable, ...))
   header <- if (inherits(x$header, 'matrix')) x$header else do.call(rbind, x$header)
   rownames(header) = paste0('header', seq_len(nrow(header)))
 
   if (inherits(x$body, 'list')){
     body <- lapply(seq_along(x$body), function(i){
       cont <- x$body[[i]]
-      title <- names(x$body)[[i]] 
+      title <- names(x$body)[[i]]
       if (is.null(title)) title <- ''
       title <- rep(title, ncol(cont))
       sec <- rbind(title, cont)
@@ -579,7 +581,7 @@ as_sstable.list <- function(x, flextable = FALSE, ...){
       body <- as.matrix(x$body)
       rownames(body) <- paste0('body', seq_len(nrow(body)))
   }
- 
+
   out$table <- rbind(header, body)
   out$footer <- x$footer
   class(out$table) <- c('ss_tbl', 'matrix')
@@ -609,7 +611,7 @@ as_sstable.logist_summary <- function(x, include_footnote = TRUE, flextable = FA
 }
 
 #' @rdname as_sstable
-#' @param include_footnote logical value specifying whether to include footnote in the output. Default is FALSE
+#' @param include_footsnote logical value specifying whether to include footnote in the output. Default is FALSE
 #' @export
 as_sstable.overlap_summary <- function(x, include_footnote = TRUE, flextable = FALSE, ...){
   out <- list()
diff --git a/R/sstable.R b/R/sstable.R
index eb8a6e3..454a7be 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1469,6 +1469,11 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
 
 #' @export
 print.ss_tbl <- function(sstable){
-  class(sstable) <- 'matrix'
-  print(sstable)
+  tryCatch(
+    {
+      print(huxtable::as_hux(sstable) |> huxtable::theme_article())
+    },
+    error = function(e) {print.default(sstable)}
+    )
+  invisible(sstable)
 }

From 79553af0fc1e80b533393f29d2546ac065ce88c4 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 17 Jun 2024 14:01:38 +0700
Subject: [PATCH 083/193] Update sstable.R

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 454a7be..010bb37 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1018,7 +1018,7 @@ sstable.survcomp <- function(
     cox = 'HR',
     cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
     else switch(compare.args$type,
-                diff = 'Cumulative incidence difference', ratio = 'Cumulative incidence ratio'),
+                diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio'),
     rmst = if (is.null(compare.args$type)) 'RMST difference'
            else switch(compare.args$type,
                       diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
@@ -1390,7 +1390,7 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
                          cox = 'HR',
                          cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
                          else switch(compare.args$type,
-                                     diff = 'Cumulative incidence difference', ratio = 'Cumulative incidence ratio'),
+                                     diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio'),
                          rmst = if (is.null(compare.args$type)) 'RMST difference'
                          else switch(compare.args$type,
                                      diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))

From c4f480a8046b6aa55c803b395c6134c09bc88e4b Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 18 Jun 2024 11:12:23 +0700
Subject: [PATCH 084/193] add rmtl loss because why not

---
 R/sstable.R                      | 119 +++++++++++++++++++------------
 R/toolkits.R                     |   8 +++
 man/as_sstable.Rd                |   2 +
 man/sstable.survcomp.Rd          |  43 +++++------
 man/sstable.survcomp.subgroup.Rd |  43 ++++++-----
 5 files changed, 130 insertions(+), 85 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 010bb37..6208a37 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -169,10 +169,12 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
       stop("Column-wise variable must be categorical !!!")
     }
     if (is.factor(y)){
+      ### [trinhdhk] 2024-04: reverse level of y for better summary
+      y <- ._lv_rev_(y)
       if (!keepEmptyGroup) y <- droplevels(y)
       y <- addNA(y, ifany = TRUE)
     } else {
-      y <- factor(as.character(y), levels = sort(unique(as.character(y)), na.last = TRUE), exclude = NULL)
+      y <- factor(as.character(y), levels = sort(unique(as.character(y), decreasing = TRUE), na.last = TRUE), exclude = NULL)
     }
   } else {
     y <- factor(rep("Total", nrow(dat)))
@@ -256,7 +258,8 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 
   ## output
   ### header
-  gr.lev <- levels(y)
+
+  gr.lev <- rev(levels(y))
   header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
   header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
   if (test) {
@@ -622,10 +625,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
   if (is.factor(idarm$arm)){
+    ### [trinhdhk] 2024-04: reverse level of y for better summary
     idarm$arm <- addNA(idarm$arm, ifany = TRUE)
-    arm_lev <-levels(idarm$arm)
+    arm_lev <- rev(levels(idarm$arm))
   } else {
-    arm_lev <- sort(unique(as.character(idarm$arm)), na.last = TRUE)
+    ### [trinhdhk] 2024-04: reverse level of y for better summary
+    arm_lev <- sort(unique(as.character(idarm$arm)), decreasing = TRUE, na.last = TRUE)
     idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
   }
 
@@ -964,27 +969,31 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #'
 #' @param model a formula which can be used to fit the survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
 #' @param data a data frame to fit the survival model.
-#' @param add.risk [TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.O#
-#' @param time [Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+#' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
+#' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
-#' @param reference.arm [B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method ['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
-#' @param compare.args a list of additional args for compare.methods, \n
-#' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
-#' For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
-#' `type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
-#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
-#' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-#' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
-#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
-#' @param add.prop.haz.test [TRUE] (legacy, depricated), please move this to compare.args
-#' @param medsum [TRUE] a logical value specifies whether median (IQR) of time to event should be described.
-#' @param digits [2] a number specifies number of significant digits for numeric statistics.
-#' @param pdigits [3] a number specifies number of significant digits for p value.
-#' @param pcutoff [0.001] a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param footer a [NULL] vector of strings to be used as footnote of table.
-#' @param flextable [TRUE] a logical value specifies whether output will be a flextable-type table.
-#' @param bg [#F2EFEE] a character specifies color of the odd rows in the body of flextable-type table.
+#' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
+#' @param compare.method [\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
+#'
+#' @param compare.args: a list of additional args for compare.methods,
+#'
+#'  For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#'
+#'  For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
+#'  `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+#'  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:cumincglm]{cumincglm}} for more details.
+#'
+#'  For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
+#'  `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
+#'  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.
+#' @param add.prop.haz.test [\code{TRUE}] (legacy, depricated), please move this to compare.args
+#' @param medsum [\code{TRUE}] a logical value specifies whether median (IQR) of time to event should be described.
+#' @param digits [\code{2}] a number specifies number of significant digits for numeric statistics.
+#' @param pdigits [\code{3}] a number specifies number of significant digits for p value.
+#' @param pcutoff [\code{0.001}] a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param footer a [\code{NULL}] vector of strings to be used as footnote of table.
+#' @param flextable [\code{TRUE}] a logical value specifies whether output will be a flextable-type table.
+#' @param bg [\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.
 #' @return a flextable-type table or a list with values/headers/footers
 #'
 #' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
@@ -1009,6 +1018,8 @@ sstable.survcomp <- function(
   # arm.var <- if (length(model[[3]]) > 1) {deparse(model[[3]][[2]])} else {deparse(model[[3]])}
   arm.var <- formula.tools::rhs.vars(model)[[1]]
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
+  ### [trinhdhk] 2024-04: reverse level of y for better summary
+  data[, arm.var] <- ._lv_rev_(data[, arm.var])
   arm.names <- levels(data[, arm.var])
   if (length(arm.names) > 2) stop('At the moment, only two-arm studies are supported. A lot of code has coveraged for more than 2 arms but please think about what should be compared in those cases (chunk test or pairwise test for instance) before implementing / trinhdhk.')
 
@@ -1021,7 +1032,11 @@ sstable.survcomp <- function(
                 diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio'),
     rmst = if (is.null(compare.args$type)) 'RMST difference'
            else switch(compare.args$type,
-                      diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
+                      diff = 'RMST difference',
+                      lost.diff = 'RMTL difference',
+                      ratio = 'RMST ratio',
+                      lost.ratio = 'RMTL ratio',
+                      stop('Illegal type for RMST comparison model')))
 
   header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), paste(compare.stat, "(95%CI); p-value"))
   header <- rbind(header1, header2)
@@ -1034,6 +1049,7 @@ sstable.survcomp <- function(
     'Cumul.inc difference' = 'Cumul.inc : Cumulative incidence',
     'Cumul.inc ratio' = 'Cumul.inc : Cumulative incidence',
     'RMST difference' = 'RMST: Restricted mean survival time',
+    'RMTL difference' = 'RMTL: Restricted mean time loss',
     'RMST ratio' = 'RMST: Restricted mean survival time',
     'RMTL ratio' = 'RMTL: Restricted mean time lost'
   )
@@ -1072,7 +1088,7 @@ sstable.survcomp <- function(
 
   # Comparison --------------------------------------
   # Re-base the arm factor
-  if (reference.arm == 'B') levels(data[, arm.var]) <- rev(arm.names)
+  if (reference.arm == 'B') data[, arm.var] <- ._lv_rev_(data[, arm.var])
   if (compare.method == "cox"){
     if (!is.null(compare.args$add.prop.haz.test)) add.prop.haz.test <- compare.args$add.prop.haz.test
     if (length(events.n) < length(arm.names)) {
@@ -1082,6 +1098,7 @@ sstable.survcomp <- function(
       compare.args$add.prop.haz.test <- NULL
       compare.args$formula <- model
       compare.args$data <- data
+      # browser()
       # add HR, CI, p-value
       # coxph <- survival::coxph
       fit.coxph <- do.call(survival::coxph, compare.args) #survival::coxph(model, data)
@@ -1168,6 +1185,7 @@ sstable.survcomp <- function(
       fit.rmst <- do.call(fitter, compare.args)
       est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
       invlink <- fit.rmst$family$linkinv
+      if (type=='lost.diff') invlink <- function(x) -x # loss.diff=-diff
       diff <- formatC(invlink(est), digits, format = "f")
 
       result[3, length(arm.names) + 1] <-
@@ -1269,27 +1287,31 @@ sstable.survcomp <- function(
 #'
 #' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
 #' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
-#' @param data a data frame to fir the Cox survival model.
-#' @param time [Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+#' @param data a data frame to fit the survival model.
+#' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
+#' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
-#' @param reference.arm [B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method ['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
-#' @param compare.args a list of additional args for compare.methods, \n
-#' For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
-#' For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
-#' `type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
-#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
-#' For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-#' `type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
-#' other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
+#' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
+#' @param compare.method [\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
 #'
-#' @param ... arguments that are passed to sstable.survcomp.
-#' @param digits a number specifies number of significant digits for numeric statistics.
-#' @param pdigits a number specifies number of significant digits for p value.
-#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
-#' @param footer a vector of strings to be used as footnote of table.
-#' @param flextable a logical value specifies whether output will be a flextable-type table.
-#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#' @param compare.args: a list of additional args for compare.methods,
+#'
+#'  For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#'
+#'  For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
+#'  `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+#'  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:cumincglm]{cumincglm}} for more details.
+#'
+#'  For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
+#'  `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
+#'  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.
+#' @param digits [\code{2}] a number specifies number of significant digits for numeric statistics.
+#' @param pdigits [\code{3}] a number specifies number of significant digits for p value.
+#' @param pcutoff [\code{0.001}] a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param footer a [\code{NULL}] vector of strings to be used as footnote of table.
+#' @param flextable [\code{TRUE}] a logical value specifies whether output will be a flextable-type table.
+#' @param bg [\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.
+#' @param ... arguments that are passed to sstable.survcomp
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #'
@@ -1393,13 +1415,18 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
                                      diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio'),
                          rmst = if (is.null(compare.args$type)) 'RMST difference'
                          else switch(compare.args$type,
-                                     diff = 'RMST difference', ratio = 'RMST ratio', lost.ratio = 'RMTL ratio'))
+                                     diff = 'RMST difference',
+                                     lost.diff = 'RMTL difference',
+                                     ratio = 'RMST ratio',
+                                     lost.ratio = 'RMTL ratio',
+                                     stop('Illegal type for RMST comparison model')))
   compare.note <- switch(
     compare.stat,
     'HR' = 'HR = hazard ratio',
     'Cumul.inc difference' = 'Cumul.inc : Cumulative incidence',
     'Cumul.inc ratio' = 'Cumul.inc : Cumulative incidence',
     'RMST difference' = 'RMST: Restricted mean survival time',
+    'RMTL difference' = 'RMTL: Restricted mean time loss',
     'RMST ratio' = 'RMST: Restricted mean survival time',
     'RMTL ratio' = 'RMTL: Restricted mean time lost'
   )
diff --git a/R/toolkits.R b/R/toolkits.R
index 20fb2fb..e9c7280 100644
--- a/R/toolkits.R
+++ b/R/toolkits.R
@@ -199,3 +199,11 @@ pct <- function(x, method = c('auto', 'bin', 'cont', 'fct'), na.rm = TRUE, ...){
   # browser()
   pct(x2, method = 'auto', na.rm = FALSE)
 }
+
+# Reverse levels
+# For public use, please use forcats::fct_rev
+._lv_rev_ <- function(x){
+  new_x <- factor(x, levels=rev(levels(x)), exclude=NULL)
+  attributes(new_x) <- utils::modifyList(attributes(x), attributes(new_x))
+  new_x
+}
diff --git a/man/as_sstable.Rd b/man/as_sstable.Rd
index 48af5f1..ec9e993 100644
--- a/man/as_sstable.Rd
+++ b/man/as_sstable.Rd
@@ -29,6 +29,8 @@ as_sstable(x, ...)
 \item{flextable}{logical value specifying whether to return a flextable. Default is FALSE}
 
 \item{include_footnote}{logical value specifying whether to include footnote in the output. Default is FALSE}
+
+\item{include_footsnote}{logical value specifying whether to include footnote in the output. Default is FALSE}
 }
 \value{
 A matrix of class ss_tbl if flextable == FALSE, otherwise a flextable
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index e9272ef..f7a6ef6 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -27,39 +27,42 @@ sstable.survcomp(
 
 \item{data}{a data frame to fit the survival model.}
 
-\item{add.risk}{[TRUE] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.O#}
+\item{add.risk}{[\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
 
-\item{time}{[Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+\item{time}{[\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 (minimax of the observed time across two arms in RMST model)}
 
-\item{reference.arm}{[B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
+\item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
+\item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
 
-\item{compare.args}{a list of additional args for compare.methods, \n
-For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
-For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
-`type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
-other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
-For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-`type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
-other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
+\item{add.prop.haz.test}{[\code{TRUE}] (legacy, depricated), please move this to compare.args}
 
-\item{add.prop.haz.test}{[TRUE] (legacy, depricated), please move this to compare.args}
+\item{medsum}{[\code{TRUE}] a logical value specifies whether median (IQR) of time to event should be described.}
 
-\item{medsum}{[TRUE] a logical value specifies whether median (IQR) of time to event should be described.}
+\item{digits}{[\code{2}] a number specifies number of significant digits for numeric statistics.}
 
-\item{digits}{[2] a number specifies number of significant digits for numeric statistics.}
+\item{pdigits}{[\code{3}] a number specifies number of significant digits for p value.}
 
-\item{pdigits}{[3] a number specifies number of significant digits for p value.}
+\item{pcutoff}{[\code{0.001}] a number specifies threshold value of p value to be displayed as "< pcutoff".}
 
-\item{pcutoff}{[0.001] a number specifies threshold value of p value to be displayed as "< pcutoff".}
+\item{footer}{a [\code{NULL}] vector of strings to be used as footnote of table.}
 
-\item{footer}{a [NULL] vector of strings to be used as footnote of table.}
+\item{flextable}{[\code{TRUE}] a logical value specifies whether output will be a flextable-type table.}
 
-\item{flextable}{[TRUE] a logical value specifies whether output will be a flextable-type table.}
+\item{bg}{[\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.}
 
-\item{bg}{[#F2EFEE] a character specifies color of the odd rows in the body of flextable-type table.}
+\item{compare.args:}{a list of additional args for compare.methods,
+
+ For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+
+ For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
+ `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+ other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:cumincglm]{cumincglm}} for more details.
+
+ For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
+ `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
+ other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.}
 }
 \value{
 a flextable-type table or a list with values/headers/footers
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index c83fd9f..82b3fe5 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -26,37 +26,42 @@ sstable.survcomp.subgroup(
 
 \item{subgroup.model}{a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).}
 
-\item{data}{a data frame to fir the Cox survival model.}
+\item{data}{a data frame to fit the survival model.}
 
-\item{time}{[Inf] the truncation time, affecting the descriptive and the RMST model, set to Inf to perform analyes at maximum time available
+\item{time}{[\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 (minimax of the observed time across two arms in RMST model)}
 
-\item{reference.arm}{[B] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
+\item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{['cox'] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
+\item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
 
-\item{compare.args}{a list of additional args for compare.methods, \n
-For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
-For compare.method = 'cuminc', args are fed to \code{\link[eventglm::cumincglm]{eventglm::cumincglm}}
-`type`: [diff] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
-other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.
-For compare.method = 'rmst', args are fed to `eventglm::rmeanglm`,
-`type`: [diff] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.ratio" for ratio of restricted mean time lost
-other optional args include: model.censoring, formula.censoring, ipcw.method. See `eventglm::rmeanglm` for more details.}
+\item{digits}{[\code{2}] a number specifies number of significant digits for numeric statistics.}
 
-\item{digits}{a number specifies number of significant digits for numeric statistics.}
+\item{pdigits}{[\code{3}] a number specifies number of significant digits for p value.}
 
-\item{pdigits}{a number specifies number of significant digits for p value.}
+\item{pcutoff}{[\code{0.001}] a number specifies threshold value of p value to be displayed as "< pcutoff".}
 
-\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+\item{footer}{a [\code{NULL}] vector of strings to be used as footnote of table.}
 
-\item{footer}{a vector of strings to be used as footnote of table.}
+\item{flextable}{[\code{TRUE}] a logical value specifies whether output will be a flextable-type table.}
 
-\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+\item{bg}{[\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.}
 
-\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+\item{...}{arguments that are passed to sstable.survcomp}
 
-\item{...}{arguments that are passed to sstable.survcomp.}
+\item{add.risk}{[\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
+
+\item{compare.args:}{a list of additional args for compare.methods,
+
+ For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+
+ For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
+ `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
+ other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:cumincglm]{cumincglm}} for more details.
+
+ For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
+ `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
+ other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.}
 }
 \value{
 a flextable-type table or a list with values/headers/footers

From 37769dcf1ce4bd757d841a1cf5e7a4c1fcfd7042 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 18 Jun 2024 11:23:15 +0700
Subject: [PATCH 085/193] Update sstable.R

---
 R/sstable.R | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 6208a37..71b6c03 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -121,6 +121,10 @@ contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mea
 #' @description A function to create a simple summary baseline table.
 #'
 #' @param formula a formula specifies variables for rows, variable for column and third-dimension variable.
+#'
+#' If formula is in the form of x+y ~ a, the function will summary x and y with respects to each value of a
+#'
+#' If formula is in the form of x+y ~ a|z, the function will summary z with respects to each value of {a,x} and {a, y}
 #' @param data a data frame to derive baseline table from.
 #' @param bycol a logical value specifies whether the summary will be by column or by row.
 #' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
@@ -1029,7 +1033,9 @@ sstable.survcomp <- function(
     cox = 'HR',
     cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
     else switch(compare.args$type,
-                diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio'),
+                diff = 'Cumul.inc difference',
+                ratio = 'Cumul.inc ratio',
+                stop('Illegal type for cumulative incidence comparison model')),
     rmst = if (is.null(compare.args$type)) 'RMST difference'
            else switch(compare.args$type,
                       diff = 'RMST difference',
@@ -1412,7 +1418,8 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
                          cox = 'HR',
                          cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
                          else switch(compare.args$type,
-                                     diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio'),
+                                     diff = 'Cumul.inc difference', ratio = 'Cumul.inc ratio',
+                                     stop('Illegal type for cumulative incidence comparison model')),
                          rmst = if (is.null(compare.args$type)) 'RMST difference'
                          else switch(compare.args$type,
                                      diff = 'RMST difference',

From 61f75a732c90e41cca66f5eb0da67e37f48623cd Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 18 Jun 2024 12:01:16 +0700
Subject: [PATCH 086/193] Update sstable.R

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 71b6c03..6ee61b2 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1202,7 +1202,7 @@ sstable.survcomp <- function(
           pval <- format.pval(p, eps = pcutoff, digits = pdigits)
           cf <- confint(fit.rmst)[2:length(arm.names),, drop=FALSE]
           ci <- apply(cf, 1,
-            \(.cf) paste(formatC(invlink(.cf), digits, format = "f"), collapse = ", ")
+            \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
           )
           diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
           diff.ci.p

From 8e10b0b788f626fab33e7d09945d4406d6806c12 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 10:14:55 +0700
Subject: [PATCH 087/193] fix ae table

---
 R/sstable.R | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 6ee61b2..5276757 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -631,7 +631,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   if (is.factor(idarm$arm)){
     ### [trinhdhk] 2024-04: reverse level of y for better summary
     idarm$arm <- addNA(idarm$arm, ifany = TRUE)
-    arm_lev <- rev(levels(idarm$arm))
+    idarm$arm <- ._lv_rev_(idarm$arm)
+    arm_lev <- levels(idarm$arm)
   } else {
     ### [trinhdhk] 2024-04: reverse level of y for better summary
     arm_lev <- sort(unique(as.character(idarm$arm)), decreasing = TRUE, na.last = TRUE)

From aa97e1ff698f85ec4035c2dafe0f35675db761cd Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 11:24:38 +0700
Subject: [PATCH 088/193] changing iconv to stri_trans_general

add dependencies on sringi
---
 DESCRIPTION  | 1 +
 R/checking.R | 8 ++++++--
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 7302b69..83ee533 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -30,6 +30,7 @@ Depends:
     data.table,
     dplyr
 Imports:
+    stringi,
     lubridate,
     car,
     readxl,
diff --git a/R/checking.R b/R/checking.R
index e1cc7da..e067178 100644
--- a/R/checking.R
+++ b/R/checking.R
@@ -96,7 +96,9 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
       tmpdata <- data[, names(data)[tolower(names(data)) == tolower(info$varname[i])]]
       # tmplabel <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
       #                         x = info$label[i]), start = 1, stop = 30)
-      tmplabel <- substr(stringi::iconv(info$label[i], to='ASCII//TRANSLIT'), start=1, stop=30) |> gsub("?", "", x=_, fixed=TRUE)
+      tmplabel <- substr(stringi::stri_trans_general(
+        info$label[i],
+        id="Latin-ASCII"), start=1, stop=30) |> gsub("?", "", x=_, fixed=TRUE)
       if (length(na.omit(tmpdata)) == 0) {
         plot(x = 1:10, y = 1:10,
              main = paste(info$varname[i], "\n (", tmplabel, ")", " \n (", info$type[i], ")", sep = ""),
@@ -113,7 +115,9 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
           # labs <- substr(gsub(pattern = "[\x01-\x1f\x7f-\xff:]", replacement = "",
           #                     x = names(table(tmpdata))), start = 1, stop = 10)
           labs <- substr(gsub(pattern = "?", replacement = "", fixed=TRUE,
-                              x = stringi::iconv(names(table(tmpdata)), to='ASCII//TRANSLIT')), start = 1, stop = 10)                    
+                              x = stringi::stri_trans_general(
+                                names(table(tmpdata)),
+                                id="Latin-ASCII")), start = 1, stop = 10)
           text(cex = 1, x = x, y = 0, labs, xpd = TRUE, srt = 45, adj = 1)
         }
         else {

From 0f219ce835b3fc45cb0cc48308766e4b2109ed74 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 11:24:44 +0700
Subject: [PATCH 089/193] Update sstable.baseline.Rd

---
 man/sstable.baseline.Rd | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
index 1860d67..5a95c37 100644
--- a/man/sstable.baseline.Rd
+++ b/man/sstable.baseline.Rd
@@ -29,7 +29,11 @@ sstable.baseline(
 )
 }
 \arguments{
-\item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.}
+\item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.
+
+If formula is in the form of x+y ~ a, the function will summary x and y with respects to each value of a
+
+If formula is in the form of x+y ~ a|z, the function will summary z with respects to each value of {a,x} and {a, y}}
 
 \item{data}{a data frame to derive baseline table from.}
 

From 5535563dc9745355aff195a0d1584e3844301884 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 14:04:53 +0700
Subject: [PATCH 090/193] fix mismatch id in conditional checking

---
 R/checking.R | 20 +++++++++++---------
 1 file changed, 11 insertions(+), 9 deletions(-)

diff --git a/R/checking.R b/R/checking.R
index e067178..8c50fe8 100644
--- a/R/checking.R
+++ b/R/checking.R
@@ -70,9 +70,11 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
                                  ## match variable name is condition
                                  tmpcondition <- find_match_correct_var_final(cond = info$condition[x], realvar = names(data))
                                  tmpdata <- eval(parse(text = paste0("subset(data,", tmpcondition, ")[, x]")))
+                                 tmprow <- with(data, which(eval(parse(text=condition))))
                                }
                              }
                              inspect.each(x = tmpdata,
+                                          id = tmprow,
                                           varname = info$varname[x],
                                           value = info$value[x],
                                           type = info$type[x],
@@ -144,25 +146,25 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
   }
 }
 
-inspect.each <- function (x, varname, type, value = NA, check_missing = TRUE) {
+inspect.each <- function (x, id, varname, type, value = NA, check_missing = TRUE) {
   tmp <- NULL
   if (check_missing) {
     if (anyNA(x) | any(as.character(x) == "")) {
-      tmp <- rbind(tmp, data.frame(index = which(is.na(x) |
-                                                   as.character(x) == ""), error = paste("Missing value for",
+      tmp <- rbind(tmp, data.frame(index = id[is.na(x) |
+                                                   as.character(x) == ""], error = paste("Missing value for",
                                                                                          varname)))
     }
   }
   if (type == "numeric" & (!is.na(value) & value != "")) {
     range <- as.numeric(unlist(strsplit(value, split = ";")))
     if (any(x < range[1] & !is.na(x))) {
-      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
-                                                   x < range[1]), error = paste("Out of range:",
+      tmp <- rbind(tmp, data.frame(index = id[!is.na(x) &
+                                                   x < range[1]], error = paste("Out of range:",
                                                                                 varname, "<", range[1])))
     }
     if (any(x > range[2] & !is.na(x))) {
-      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
-                                                   x > range[2]), error = paste("Out of range:",
+      tmp <- rbind(tmp, data.frame(index = id[!is.na(x) &
+                                                   x > range[2]], error = paste("Out of range:",
                                                                                 varname, ">", range[2])))
     }
   }
@@ -172,8 +174,8 @@ inspect.each <- function (x, varname, type, value = NA, check_missing = TRUE) {
                     USE.NAMES = FALSE)
     if (any(!x %in% range & !is.na(x))) {
       xx <- x[!is.na(x) & !x %in% range]
-      tmp <- rbind(tmp, data.frame(index = which(!is.na(x) &
-                                                   !x %in% range), error = paste("Out of range:",
+      tmp <- rbind(tmp, data.frame(index = id[!is.na(x) &
+                                                   !x %in% range], error = paste("Out of range:",
                                                                                  varname, "=", xx)))
     }
   }

From 98713446b4122b36c9be755e6d9210ec81aa64f3 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 14:22:51 +0700
Subject: [PATCH 091/193] typo condition -> tmpcondition

---
 R/checking.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/checking.R b/R/checking.R
index 8c50fe8..0aeb2ea 100644
--- a/R/checking.R
+++ b/R/checking.R
@@ -70,7 +70,7 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
                                  ## match variable name is condition
                                  tmpcondition <- find_match_correct_var_final(cond = info$condition[x], realvar = names(data))
                                  tmpdata <- eval(parse(text = paste0("subset(data,", tmpcondition, ")[, x]")))
-                                 tmprow <- with(data, which(eval(parse(text=condition))))
+                                 tmprow <- with(data, which(eval(parse(text=tmpcondition))))
                                }
                              }
                              inspect.each(x = tmpdata,

From 9acbd3378f7052887919383898014d4aa74f0829 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 14:25:41 +0700
Subject: [PATCH 092/193] fix tmprow

---
 R/checking.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/checking.R b/R/checking.R
index 0aeb2ea..9a6cda1 100644
--- a/R/checking.R
+++ b/R/checking.R
@@ -65,6 +65,7 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
                     lapply(X = 1:ncol(data),
                            FUN = function(x) {
                              tmpdata <- data[, x]
+                             tmpprow <- seq_len(nrow(tmpdata))
                              if ("condition" %in% names(info)) {
                                if (!is.na(info$condition[x])) {
                                  ## match variable name is condition

From 7f78a6ee66302afac569912f97f8adebc222e49b Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 19 Jun 2024 14:29:14 +0700
Subject: [PATCH 093/193] ???

---
 R/checking.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/checking.R b/R/checking.R
index 9a6cda1..7d46aed 100644
--- a/R/checking.R
+++ b/R/checking.R
@@ -65,7 +65,7 @@ inspect.data <- function (data, info, id, check_missing = c(TRUE, FALSE), plot =
                     lapply(X = 1:ncol(data),
                            FUN = function(x) {
                              tmpdata <- data[, x]
-                             tmpprow <- seq_len(nrow(tmpdata))
+                             tmprow <- seq_len(nrow(data))
                              if ("condition" %in% names(info)) {
                                if (!is.na(info$condition[x])) {
                                  ## match variable name is condition

From 7f9c2de93371c9837a9e629c159d4e7719bafbe2 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 20 Jun 2024 12:22:46 +0700
Subject: [PATCH 094/193] fix double reversal of level in sstable.baseline

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 5276757..a4b7f64 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -263,7 +263,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   ## output
   ### header
 
-  gr.lev <- rev(levels(y))
+  gr.lev <- levels(y)
   header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
   header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
   if (test) {
@@ -978,7 +978,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method [\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
+#' @param compare.method [\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time, "none" to not doing comparison
 #'
 #' @param compare.args: a list of additional args for compare.methods,
 #'

From 17a757d82878365216dc56460cdc6643204abb17 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 20 Jun 2024 15:48:45 +0700
Subject: [PATCH 095/193] add gg_ajsurvplot

---
 NAMESPACE               |  1 +
 R/gg_ajsurvplot.R       | 23 +++++++++++++++++++++++
 R/sstable.R             | 18 +++++++++---------
 man/gg_ajsurvplot.Rd    | 31 +++++++++++++++++++++++++++++++
 man/sstable.ae.Rd       |  2 +-
 man/sstable.survcomp.Rd |  2 +-
 6 files changed, 66 insertions(+), 11 deletions(-)
 create mode 100644 R/gg_ajsurvplot.R
 create mode 100644 man/gg_ajsurvplot.Rd

diff --git a/NAMESPACE b/NAMESPACE
index 165cb77..2808bac 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -40,6 +40,7 @@ export(createProject)
 export(explicit)
 export(ft_sstheme)
 export(getlabel)
+export(gg_ajsurvplot)
 export(gg_boxcox)
 export(ht_theme_kable)
 export(ht_theme_markdown)
diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
new file mode 100644
index 0000000..bcf6513
--- /dev/null
+++ b/R/gg_ajsurvplot.R
@@ -0,0 +1,23 @@
+#' Plot the Aalen-Johansen curve with ggplot for competing risks
+#' @description
+#' Extend \link[survminer:ggsurvplot]{ggsurvplot} functionality to plot competing risk curve
+#'
+#' @param formula A standard model formula, with survival on the left and covariates on the right
+#' @param data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model
+#' @param weights,subset,na.action,etype,count,id,timefix parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},
+#' @param ... optional parameters passed to \code{ggsurvplot}.
+#' @export
+gg_ajsurvplot <- function(formula, data, weights, subset, na.action, etype, count, id, timefix, ...){
+  dot <- list(...)
+  fgargs <- match.call()[-1]
+  fgargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
+  fg <- do.call(survival::finegray, fgargs)
+  # browser()
+  fml <- force(update(formula, Surv(fgstart,fgstop,fgstatus)~.))
+  sf <- eval(substitute(survival::survfit(fml, data = fg,  weights=fgwt), list(fml=fml)))
+  survminer::ggsurvplot(
+    sf,
+    data=fg,
+    ...
+  )
+}
diff --git a/R/sstable.R b/R/sstable.R
index a4b7f64..1a5ade3 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -558,7 +558,7 @@ sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup =
 #' @param group_data a reference data frame contains the group name of each ae.
 #' @param id.var a character specifies name of study id variable (exists in both adverse event data and treatment arm data).
 #' @param aetype.var a character specifies name of adverse event type variable (exists in adverse event data).
-#' @param grade.var a character specifies name of adverse event grade variable (exists in adverse event data).
+#' @param grade.var NULL or character specifies name of adverse event grade variable (exists in adverse event data).
 #' @param group.var a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).
 #' @param arm.var a character specifies name of treatment arm variable (exists in treatment arm data).
 #' @param sort.by
@@ -597,20 +597,20 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   ## check variable's name
   tmp <- match.call()
-  if (!id.var %in% names(ae_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
-  if (!id.var %in% names(fullid_data)){stop(paste(tmp[[4]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
-  if (!aetype.var %in% names(ae_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+  if (!id.var %in% names(ae_data)){stop(paste(tmp$id.var, "does not exist in", deparse(tmp$ae_data), "!!!"))}
+  if (!id.var %in% names(fullid_data)){stop(paste(tmp$id.var, "does not exist in", deparse(tmp$fullid_data), "!!!"))}
+  if (!aetype.var %in% names(ae_data)){stop(paste(tmp$aetype.var, "does not exist in", deparse(tmp$ae_data), "!!!"))}
   if (!is.null(grade.var)) {
-    if (!grade.var %in% names(ae_data)){stop(paste(tmp[[7]], "does not exist in", deparse(tmp[[2]]), "!!!"))}
+    if (!grade.var %in% names(ae_data)){stop(paste(tmp$grade.var, "does not exist in", deparse(tmp$ae_data), "!!!"))}
   }
   if (!is.null(group.var)){
     if (!is.null(group_data)){
-      if (!group.var %in% names(group_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[4]]), '!!!'))
-      if (!aetype.var %in% names(group_data)){stop(paste(tmp[[5]], "does not exist in", deparse(tmp[[4]]), "!!!"))}
+      if (!group.var %in% names(group_data)) stop(paste(tmp$group.var, 'does not exist in', deparse(tmp$group_data), '!!!'))
+      if (!aetype.var %in% names(group_data)){stop(paste(tmp$aetype.var, "does not exist in", deparse(tmp$group_data), "!!!"))}
     } else
-      if (!group.var %in% names(ae_data)) stop(paste(tmp[[8]], 'does not exist in', deparse(tmp[[2]]), '!!!'))
+      if (!group.var %in% names(ae_data)) stop(paste(tmp$group.var, 'does not exist in', deparse(tmp$ae_data), '!!!'))
   }
-  if (!arm.var %in% names(fullid_data)){stop(paste(tmp[[9]], "does not exist in", deparse(tmp[[3]]), "!!!"))}
+  if (!arm.var %in% names(fullid_data)){stop(paste(tmp$arm.var, "does not exist in", deparse(tmp$fullid_data), "!!!"))}
   if (!missing(sort.by)){
     sort.by <- rlang::enquo(sort.by)
     sort.vars <- all.vars(sort.by)
diff --git a/man/gg_ajsurvplot.Rd b/man/gg_ajsurvplot.Rd
new file mode 100644
index 0000000..4e09afb
--- /dev/null
+++ b/man/gg_ajsurvplot.Rd
@@ -0,0 +1,31 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_ajsurvplot.R
+\name{gg_ajsurvplot}
+\alias{gg_ajsurvplot}
+\title{Plot the Aalen-Johansen curve with ggplot for competing risks}
+\usage{
+gg_ajsurvplot(
+  formula,
+  data,
+  weights,
+  subset,
+  na.action,
+  etype,
+  count,
+  id,
+  timefix,
+  ...
+)
+}
+\arguments{
+\item{formula}{A standard model formula, with survival on the left and covariates on the right}
+
+\item{data}{an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model}
+
+\item{weights, subset, na.action, etype, count, id, timefix}{parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},}
+
+\item{...}{optional parameters passed to \code{ggsurvplot}.}
+}
+\description{
+Extend \link[survminer:ggsurvplot]{ggsurvplot} functionality to plot competing risk curve
+}
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 1f44070..41cbbe6 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -40,7 +40,7 @@ sstable.ae(
 
 \item{aetype.var}{a character specifies name of adverse event type variable (exists in adverse event data).}
 
-\item{grade.var}{a character specifies name of adverse event grade variable (exists in adverse event data).}
+\item{grade.var}{NULL or character specifies name of adverse event grade variable (exists in adverse event data).}
 
 \item{group.var}{a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).}
 
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index f7a6ef6..39b6902 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -34,7 +34,7 @@ sstable.survcomp(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
+\item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time, "none" to not doing comparison}
 
 \item{add.prop.haz.test}{[\code{TRUE}] (legacy, depricated), please move this to compare.args}
 

From 4a217262d6bae765cfbe8341f33f6b51ee4f2ea4 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 20 Jun 2024 16:42:06 +0700
Subject: [PATCH 096/193] optional p.value for comparison in survcomp

---
 R/sstable.R                      | 32 +++++++++++++++++++++++---------
 man/sstable.survcomp.Rd          |  5 ++++-
 man/sstable.survcomp.subgroup.Rd |  3 +++
 3 files changed, 30 insertions(+), 10 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 1a5ade3..38b94d5 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -992,7 +992,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #'  `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
 #'  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.
 #' @param add.prop.haz.test [\code{TRUE}] (legacy, depricated), please move this to compare.args
-#' @param medsum [\code{TRUE}] a logical value specifies whether median (IQR) of time to event should be described.
+#' @param medsum [\code{TRUE}] a logical value, specifying whether median (IQR) of time to event should be described.
+#' @param p.compare [\code{TRUE}] a logical value, specifying whether we should report p-value for the main comparison
 #' @param digits [\code{2}] a number specifies number of significant digits for numeric statistics.
 #' @param pdigits [\code{3}] a number specifies number of significant digits for p value.
 #' @param pcutoff [\code{0.001}] a number specifies threshold value of p value to be displayed as "< pcutoff".
@@ -1011,6 +1012,7 @@ sstable.survcomp <- function(
     compare.method = c('cox', 'rmst', 'cuminc'),
     compare.args = list(),
     add.prop.haz.test = TRUE, medsum = TRUE,
+    p.compare = TRUE,
     digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("survival")
 
@@ -1026,7 +1028,7 @@ sstable.survcomp <- function(
   ### [trinhdhk] 2024-04: reverse level of y for better summary
   data[, arm.var] <- ._lv_rev_(data[, arm.var])
   arm.names <- levels(data[, arm.var])
-  if (length(arm.names) > 2) stop('At the moment, only two-arm studies are supported. A lot of code has coveraged for more than 2 arms but please think about what should be compared in those cases (chunk test or pairwise test for instance) before implementing / trinhdhk.')
+  if (length(arm.names) > 2) stop('At the moment, only two-arm studies are supported. A lot of code has covered more than 2 arms but please think about what should be compared in those cases (chunk test or pairwise test for instance) before implementing / trinhdhk.')
 
   # Table header
   header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
@@ -1045,7 +1047,7 @@ sstable.survcomp <- function(
                       lost.ratio = 'RMTL ratio',
                       stop('Illegal type for RMST comparison model')))
 
-  header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), paste(compare.stat, "(95%CI); p-value"))
+  header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), paste(compare.stat, if (p.compare) "(95%CI); p-value" else "(95%CI)"))
   header <- rbind(header1, header2)
   result <- rbind(header, "")
 
@@ -1066,7 +1068,7 @@ sstable.survcomp <- function(
                          rmst='Restricted mean survival time model')
   footer <- c(
     paste0(compare.note, "; IQR = interquartile range."),
-    paste(compare.stat, "and p value were based on", compare.name, '.'),
+    paste(compare.stat, if (p.compare) "and p value", "were based on", compare.name, '.'),
     footer)
 
 
@@ -1121,7 +1123,12 @@ sstable.survcomp <- function(
           ci <- sapply(est, \(.est) {
             paste(formatC(exp(c(.est - qnorm(0.975) * se, .est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
           })
-          hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
+          if (p.compare){
+            hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
+          } else {
+            hr.ci.p <- paste(hr, " (", ci, ")", sep = "")
+          }
+
           hr.ci.p
         })
 
@@ -1205,8 +1212,11 @@ sstable.survcomp <- function(
           ci <- apply(cf, 1,
             \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
           )
-          diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
-          diff.ci.p
+          if (p.compare){
+            diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
+          } else {
+            diff.ci.p <- paste(diff, " (", ci, ")", sep = "")
+          }
         })
     }
 
@@ -1312,6 +1322,7 @@ sstable.survcomp <- function(
 #'  For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
 #'  `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
 #'  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.
+#' @param p.compare [\code{TRUE}] a logical value, specifying whether we should report p-value for the main comparison
 #' @param digits [\code{2}] a number specifies number of significant digits for numeric statistics.
 #' @param pdigits [\code{3}] a number specifies number of significant digits for p value.
 #' @param pcutoff [\code{0.001}] a number specifies threshold value of p value to be displayed as "< pcutoff".
@@ -1330,6 +1341,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   reference.arm = c('B', 'A'),
   compare.method = c('cox', 'rmst', 'cuminc'),
   compare.args = list(),
+  p.compare = TRUE,
   digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
 
 
@@ -1350,8 +1362,9 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   # result in entire population
 result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
                            medsum = FALSE, digits = digits,
-                             compare.method = compare.method, compare.args = compare.args,
-                             pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
+                           compare.method = compare.method, compare.args = compare.args,
+                           p.compare = p.compare,
+                           pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
 
   # Preparation of models and data
@@ -1410,6 +1423,7 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
       d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
       result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup, time=time,
                                                                      compare.method = compare.method, compare.args = compare.args,
+                                                                     p.compare = p.compare,
                                                                      medsum = FALSE, digits = digits, pdigits = pdigits, pcutoff = pcutoff,
                                                                      flextable = FALSE, ...)$table[3,-1]
     }
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 39b6902..26790e6 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -14,6 +14,7 @@ sstable.survcomp(
   compare.args = list(),
   add.prop.haz.test = TRUE,
   medsum = TRUE,
+  p.compare = TRUE,
   digits = 2,
   pdigits = 3,
   pcutoff = 0.001,
@@ -38,7 +39,9 @@ sstable.survcomp(
 
 \item{add.prop.haz.test}{[\code{TRUE}] (legacy, depricated), please move this to compare.args}
 
-\item{medsum}{[\code{TRUE}] a logical value specifies whether median (IQR) of time to event should be described.}
+\item{medsum}{[\code{TRUE}] a logical value, specifying whether median (IQR) of time to event should be described.}
+
+\item{p.compare}{[\code{TRUE}] a logical value, specifying whether we should report p-value for the main comparison}
 
 \item{digits}{[\code{2}] a number specifies number of significant digits for numeric statistics.}
 
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index 82b3fe5..ead1783 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -12,6 +12,7 @@ sstable.survcomp.subgroup(
   reference.arm = c("B", "A"),
   compare.method = c("cox", "rmst", "cuminc"),
   compare.args = list(),
+  p.compare = TRUE,
   digits = 2,
   pdigits = 3,
   pcutoff = 0.001,
@@ -35,6 +36,8 @@ sstable.survcomp.subgroup(
 
 \item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
 
+\item{p.compare}{[\code{TRUE}] a logical value, specifying whether we should report p-value for the main comparison}
+
 \item{digits}{[\code{2}] a number specifies number of significant digits for numeric statistics.}
 
 \item{pdigits}{[\code{3}] a number specifies number of significant digits for p value.}

From b89f64bbe88ef65f02860127636b19ed2f6975dd Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 25 Jun 2024 11:02:30 +0700
Subject: [PATCH 097/193] add rbind and ajsruvplot2

---
 NAMESPACE             |  7 ++++
 R/gg_ajsurvplot.R     | 96 +++++++++++++++++++++++++++++++++++++++++++
 R/ssformat.R          | 59 ++++++++++++++++++++++++++
 R/sstable.R           | 19 ++++++++-
 man/gg_ajsurvplot2.Rd | 37 +++++++++++++++++
 man/ggsurvfit2.Rd     | 20 +++++++++
 man/rbind.ss_tbl.Rd   | 27 ++++++++++++
 man/tidy_survfit2.Rd  | 14 +++++++
 man/untidy_strata.Rd  | 11 +++++
 9 files changed, 289 insertions(+), 1 deletion(-)
 create mode 100644 man/gg_ajsurvplot2.Rd
 create mode 100644 man/ggsurvfit2.Rd
 create mode 100644 man/rbind.ss_tbl.Rd
 create mode 100644 man/tidy_survfit2.Rd
 create mode 100644 man/untidy_strata.Rd

diff --git a/NAMESPACE b/NAMESPACE
index 2808bac..1b594b5 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -18,6 +18,10 @@ S3method(mutate_f,tbl)
 S3method(print,logist_summary)
 S3method(print,ss_tbl)
 S3method(print,subgroup_logist_summary)
+S3method(rbind,ae_tbl)
+S3method(rbind,baseline_tbl)
+S3method(rbind,ss_tbl)
+S3method(rbind,survcomp_tbl)
 S3method(ref_lv,factor)
 S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
@@ -41,7 +45,9 @@ export(explicit)
 export(ft_sstheme)
 export(getlabel)
 export(gg_ajsurvplot)
+export(gg_ajsurvplot2)
 export(gg_boxcox)
+export(ggsurvfit2)
 export(ht_theme_kable)
 export(ht_theme_markdown)
 export(import.info)
@@ -68,6 +74,7 @@ export(sstable.survcomp)
 export(sstable.survcomp.subgroup)
 export(subgroup_effect)
 export(summarise_f)
+export(tidy_survfit2)
 import(dplyr)
 import(survival)
 import(tidyr)
diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index bcf6513..2e1ab6a 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -21,3 +21,99 @@ gg_ajsurvplot <- function(formula, data, weights, subset, na.action, etype, coun
     ...
   )
 }
+
+#' ggsurvfit with strata saved
+#' @description
+#' Same as \link[ggsurvfit:ggsurvfit]{ggsurvfit} but with strata saved, so you can facet by covariables.
+#'
+#' @param x,type,linetype_aes,theme,... parameters passed directly \link[ggsurvfit:ggsurvfit]{ggsurvfit}.
+#' @export
+ggsurvfit2 <- rlang::new_function(
+  args = rlang::fn_fmls(ggsurvfit::ggsurvfit),
+  body = {
+    # require(cli)
+    require(ggsurvfit)
+    tt <- ggsurvfit::ggsurvfit |>
+    rlang::fn_body() |>
+    as.character() |>
+    gsub('tidy_survfit', 'C306::tidy_survfit2', x=_)|>
+    c('}') |> paste(collapse = '\n') |>
+    # parse(text=_) |>
+    rlang::parse_expr()
+    environment(tt) <- asNamespace('ggsurvfit')
+    tt
+    }
+)
+
+environment(ggsurvfit2) <- asNamespace('ggsurvfit')
+
+#' Untidy the tidy_survfit
+untidy_strata <- function(x, strata.col='strata') {
+  if (!'strata' %in% names(x)) return(x)
+  x2 <- x |>
+    mutate(strata.split = strsplit(as.character(strata), ', ')) |>
+    tidyr::unnest(cols=strata.split) |>
+    mutate(
+      strata.split = unlist(strata.split),
+      strata.names = strsplit(strata.split, '=') %>% purrr::transpose() %>% `[[`(1) |> unlist(),
+      strata.values = strsplit(strata.split, '=') %>% purrr::transpose() %>% `[[`(2)  |> unlist(),
+      strata.split=NULL
+    ) |>
+    tidyr::pivot_wider(names_from = strata.names, values_from = strata.values)
+
+  x2
+}
+
+#' Tidy survfit with strata save
+#' @description
+#' Same as \link[ggsurvfit:tidy_survfit]{tidy_survfit} but with strata saved.
+#' @param x,times,type same as \link[ggsurvfit:tidy_survfit]{tidy_survfit}
+#' @export
+tidy_survfit2 <- function(x, times=NULL, type='survival'){
+  ggsurvfit::tidy_survfit(x, times=NULL, type) |>
+    untidy_strata()
+}
+
+#' Plot 2 Aalen-Johansen curve with ggplot for competing risks
+#' @description
+#' Extend \link[ggsurvfit:ggsurvfit]{ggsurvfit} functionality to plot competing risk curve, with main risk and competing risk in one plot
+#'
+#' @param formula A standard model formula, with survival on the left and covariates on the right
+#' @param data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model
+#' @param weights,subset,na.action,,count,id,timefix parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},
+#' @param main.event,competing.event main and competing event to plot
+#' @param ... optional parameters passed to \code{ggsurvplot}.
+#' @param .return_data [FALSE] if TRUE, get the data instead.
+#' @export
+gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, ..., .return_data=FALSE){
+  dot <- list(...)
+  fgargs <- match.call()[-1]
+  fgargs$.return_data <- NULL
+  fgargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
+
+  etypes <- with(fgargs, c(main.event, competing.event))
+  fgargs.each <- lapply(etypes, function(etype) {
+    new.arg <- fgargs
+    new.arg$etype <- etype
+    new.arg$main.event <- new.arg$competing.event <- NULL
+    new.arg
+  })
+
+  fg1 <- do.call(survival::finegray, fgargs.each[[1]])
+  fg2 <- do.call(survival::finegray, fgargs.each[[2]])
+  # browser()
+  fml <- force(update(formula, Surv(fgstart,fgstop,fgstatus)~.))
+
+  sf1 <- eval(substitute(survival::survfit(fml, data = fg1,  weights=fgwt), list(fml=fml)))
+  sf2 <- eval(substitute(survival::survfit(fml, data = fg2,  weights=fgwt), list(fml=fml)))
+
+  tidy1 <- tidy_survfit2(sf1, type='risk') |> mutate(Event = main.event)
+  tidy2 <- tidy_survfit2(sf2, type='survival') |> mutate(Event = competing.event)
+
+  dt <- rbind(tidy1, tidy2)
+  if (.return_data) return(dt)
+
+  ggplot(aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=event)) +
+    geom_step(linewidth=1) +
+    ggsurvfit::theme_ggsurvfit_default()
+}
diff --git a/R/ssformat.R b/R/ssformat.R
index 911866f..50f8087 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -651,3 +651,62 @@ as_sstable.subgroup_logist_summary <- function(x, include_footnote = TRUE, flext
   if (include_footnote) return(list(table = sstable, footer = footer))
   sstable
 }
+
+
+#' Row-binding two sstables
+#' @description
+#' Row-binding two sstables
+#' @param tbl1,tbl2, two object of class sstables of the same template. Only export for technical use.
+#' @param footer [NULL] default is the joint footer of two ss_tbl
+#' @param ... args passed to the downstream method
+#' @export
+rbind.ss_tbl <- function(tbl1, tbl2, footer=NULL, ...){
+  if (!identical(class(tbl1), class(tbl2)))
+    stop('tbl1 and tbl2 must be of the same class.')
+  if (ncol(tbl1) != ncol(tbl2))
+    stop('Unmatched number of columns between tbl1 and tbl2.')
+  NextMethod('rbind')
+}
+
+._do_rbind <- function(tbl1, tbl2, header=1){
+  new_tbl <- list()
+  new_tbl$table <- rbind(tbl1$table, tbl2$table[-header,])
+  new_tbl$footer <- tbl1$footer
+  class(new_tbl$table) <- class(tbl1$table)
+}
+
+#' @rdname rbind.ss_tbl
+#' @method rbind ae_tbl
+#' @export
+rbind.ae_tbl <- function(tbl1, tbl2, footer=NULL){
+  if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
+    stop('Two footers mismatched. Perhaps two tbl are using different config? \n
+         To ignore this, set a specific footer.')
+  out <- ._do_rbind(tbl1, tbl2, header=1:3)
+  if (!is.null(footer)) out$footer <- footer
+  out
+}
+
+#' @rdname rbind.ss_tbl
+#' @method rbind survcomp_tbl
+#' @export
+rbind.survcomp_tbl <- function(tbl1, tbl2, footer=NULL){
+  if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
+    stop('Two footers mismatched. Perhaps two tbl are using different config? \n
+         To ignore this, set a specific footer.')
+  out <- ._do_rbind(tbl1, tbl2, header=1:3)
+  if (!is.null(footer)) out$footer <- footer
+  out
+}
+
+#' @rdname rbind.ss_tbl
+#' @method rbind baseline_tbl
+#' @export
+rbind.baseline_tbl <- function(tbl1, tbl2, footer=NULL){
+  if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
+    stop('Two footers mismatched. Perhaps two tbl are using different config? \n
+         To ignore this, set a specific footer.')
+  out <- ._do_rbind(tbl1, tbl2, header=1)
+  if (!is.null(footer)) out$footer <- footer
+  out
+}
diff --git a/R/sstable.R b/R/sstable.R
index 38b94d5..ce3b227 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -595,8 +595,25 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
-  ## check variable's name
   tmp <- match.call()
+  if (length(aetype.var) > 1){
+    env <- rlang::caller_env()
+    tbl1_call <- tmp
+    tbl1_call$aetype.var <- aetype.var[[1]]
+    tbl1 <- eval(tbl1_call, envir = env)
+    tbl2p <-
+      lapply(aetype.var[-1],
+             function(.aetype.var){
+               tbl_call <- tmp
+               tbl_call$aetype.var <- .aetype.var
+               tbl_call$grade.var = NULL
+               eval(tbl_call, envir=env)
+             })
+     return(rbind(tbl1, do.call(rbind, tbl2p)))
+    }
+
+  ## check variable's name
+
   if (!id.var %in% names(ae_data)){stop(paste(tmp$id.var, "does not exist in", deparse(tmp$ae_data), "!!!"))}
   if (!id.var %in% names(fullid_data)){stop(paste(tmp$id.var, "does not exist in", deparse(tmp$fullid_data), "!!!"))}
   if (!aetype.var %in% names(ae_data)){stop(paste(tmp$aetype.var, "does not exist in", deparse(tmp$ae_data), "!!!"))}
diff --git a/man/gg_ajsurvplot2.Rd b/man/gg_ajsurvplot2.Rd
new file mode 100644
index 0000000..e12b3e6
--- /dev/null
+++ b/man/gg_ajsurvplot2.Rd
@@ -0,0 +1,37 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_ajsurvplot.R
+\name{gg_ajsurvplot2}
+\alias{gg_ajsurvplot2}
+\title{Plot 2 Aalen-Johansen curve with ggplot for competing risks}
+\usage{
+gg_ajsurvplot2(
+  formula,
+  data,
+  weights,
+  subset,
+  na.action,
+  main.event,
+  competing.event,
+  count,
+  id,
+  timefix,
+  ...,
+  .return_data = FALSE
+)
+}
+\arguments{
+\item{formula}{A standard model formula, with survival on the left and covariates on the right}
+
+\item{data}{an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model}
+
+\item{weights, subset, na.action, , count, id, timefix}{parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},}
+
+\item{main.event, competing.event}{main and competing event to plot}
+
+\item{...}{optional parameters passed to \code{ggsurvplot}.}
+
+\item{.return_data}{[FALSE] if TRUE, get the data instead.}
+}
+\description{
+Extend \link[ggsurvfit:ggsurvfit]{ggsurvfit} functionality to plot competing risk curve, with main risk and competing risk in one plot
+}
diff --git a/man/ggsurvfit2.Rd b/man/ggsurvfit2.Rd
new file mode 100644
index 0000000..0667203
--- /dev/null
+++ b/man/ggsurvfit2.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_ajsurvplot.R
+\name{ggsurvfit2}
+\alias{ggsurvfit2}
+\title{ggsurvfit with strata saved}
+\usage{
+ggsurvfit2(
+  x,
+  type = "survival",
+  linetype_aes = FALSE,
+  theme = theme_ggsurvfit_default(),
+  ...
+)
+}
+\arguments{
+\item{x, type, linetype_aes, theme, ...}{parameters passed directly \link[ggsurvfit:ggsurvfit]{ggsurvfit}.}
+}
+\description{
+Same as \link[ggsurvfit:ggsurvfit]{ggsurvfit} but with strata saved, so you can facet by covariables.
+}
diff --git a/man/rbind.ss_tbl.Rd b/man/rbind.ss_tbl.Rd
new file mode 100644
index 0000000..5a0c798
--- /dev/null
+++ b/man/rbind.ss_tbl.Rd
@@ -0,0 +1,27 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ssformat.R
+\name{rbind.ss_tbl}
+\alias{rbind.ss_tbl}
+\alias{rbind.ae_tbl}
+\alias{rbind.survcomp_tbl}
+\alias{rbind.baseline_tbl}
+\title{Row-binding two sstables}
+\usage{
+\method{rbind}{ss_tbl}(tbl1, tbl2, footer = NULL, ...)
+
+\method{rbind}{ae_tbl}(tbl1, tbl2, footer = NULL)
+
+\method{rbind}{survcomp_tbl}(tbl1, tbl2, footer = NULL)
+
+\method{rbind}{baseline_tbl}(tbl1, tbl2, footer = NULL)
+}
+\arguments{
+\item{tbl1, tbl2, }{two object of class sstables of the same template. Only export for technical use.}
+
+\item{footer}{[NULL] default is the joint footer of two ss_tbl}
+
+\item{...}{args passed to the downstream method}
+}
+\description{
+Row-binding two sstables
+}
diff --git a/man/tidy_survfit2.Rd b/man/tidy_survfit2.Rd
new file mode 100644
index 0000000..5d0648b
--- /dev/null
+++ b/man/tidy_survfit2.Rd
@@ -0,0 +1,14 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_ajsurvplot.R
+\name{tidy_survfit2}
+\alias{tidy_survfit2}
+\title{Tidy survfit with strata save}
+\usage{
+tidy_survfit2(x, times = NULL, type = "survival")
+}
+\arguments{
+\item{x, times, type}{same as \link[ggsurvfit:tidy_survfit]{tidy_survfit}}
+}
+\description{
+Same as \link[ggsurvfit:tidy_survfit]{tidy_survfit} but with strata saved.
+}
diff --git a/man/untidy_strata.Rd b/man/untidy_strata.Rd
new file mode 100644
index 0000000..ee5a1a8
--- /dev/null
+++ b/man/untidy_strata.Rd
@@ -0,0 +1,11 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_ajsurvplot.R
+\name{untidy_strata}
+\alias{untidy_strata}
+\title{Untidy the tidy_survfit}
+\usage{
+untidy_strata(x, strata.col = "strata")
+}
+\description{
+Untidy the tidy_survfit
+}

From 46ef660fdce6f21b1c390a72cbfa8ed8bd81bce7 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 25 Jun 2024 11:22:43 +0700
Subject: [PATCH 098/193] fix wrong class

---
 NAMESPACE                                |  8 ++++----
 R/ssformat.R                             | 20 ++++++++++----------
 R/sstable.R                              |  4 ++++
 man/{rbind.ss_tbl.Rd => rbind.ss_obj.Rd} | 16 +++++-----------
 4 files changed, 23 insertions(+), 25 deletions(-)
 rename man/{rbind.ss_tbl.Rd => rbind.ss_obj.Rd} (54%)

diff --git a/NAMESPACE b/NAMESPACE
index 1b594b5..2d098a7 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -18,10 +18,10 @@ S3method(mutate_f,tbl)
 S3method(print,logist_summary)
 S3method(print,ss_tbl)
 S3method(print,subgroup_logist_summary)
-S3method(rbind,ae_tbl)
-S3method(rbind,baseline_tbl)
-S3method(rbind,ss_tbl)
-S3method(rbind,survcomp_tbl)
+S3method(rbind,ss_ae)
+S3method(rbind,ss_baseline)
+S3method(rbind,ss_obj)
+S3method(rbind,ss_survcomp)
 S3method(ref_lv,factor)
 S3method(simple_recode,data.frame)
 S3method(simple_recode,default)
diff --git a/R/ssformat.R b/R/ssformat.R
index 50f8087..741478f 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -660,10 +660,10 @@ as_sstable.subgroup_logist_summary <- function(x, include_footnote = TRUE, flext
 #' @param footer [NULL] default is the joint footer of two ss_tbl
 #' @param ... args passed to the downstream method
 #' @export
-rbind.ss_tbl <- function(tbl1, tbl2, footer=NULL, ...){
-  if (!identical(class(tbl1), class(tbl2)))
+rbind.ss_obj <- function(tbl1, tbl2, footer=NULL, ...){
+  if (!identical(class(tbl1$table), class(tbl2$table)))
     stop('tbl1 and tbl2 must be of the same class.')
-  if (ncol(tbl1) != ncol(tbl2))
+  if (ncol(tbl1$table) != ncol(tbl2$table))
     stop('Unmatched number of columns between tbl1 and tbl2.')
   NextMethod('rbind')
 }
@@ -675,10 +675,10 @@ rbind.ss_tbl <- function(tbl1, tbl2, footer=NULL, ...){
   class(new_tbl$table) <- class(tbl1$table)
 }
 
-#' @rdname rbind.ss_tbl
-#' @method rbind ae_tbl
+#' @rdname rbind.ss_obj
+#' @method rbind ss_ae
 #' @export
-rbind.ae_tbl <- function(tbl1, tbl2, footer=NULL){
+rbind.ss_ae <- function(tbl1, tbl2, footer=NULL){
   if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
     stop('Two footers mismatched. Perhaps two tbl are using different config? \n
          To ignore this, set a specific footer.')
@@ -688,9 +688,9 @@ rbind.ae_tbl <- function(tbl1, tbl2, footer=NULL){
 }
 
 #' @rdname rbind.ss_tbl
-#' @method rbind survcomp_tbl
+#' @method rbind ss_survcomp
 #' @export
-rbind.survcomp_tbl <- function(tbl1, tbl2, footer=NULL){
+rbind.ss_survcomp <- function(tbl1, tbl2, footer=NULL){
   if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
     stop('Two footers mismatched. Perhaps two tbl are using different config? \n
          To ignore this, set a specific footer.')
@@ -700,9 +700,9 @@ rbind.survcomp_tbl <- function(tbl1, tbl2, footer=NULL){
 }
 
 #' @rdname rbind.ss_tbl
-#' @method rbind baseline_tbl
+#' @method rbind ss_baseline
 #' @export
-rbind.baseline_tbl <- function(tbl1, tbl2, footer=NULL){
+rbind.ss_baseline <- function(tbl1, tbl2, footer=NULL){
   if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
     stop('Two footers mismatched. Perhaps two tbl are using different config? \n
          To ignore this, set a specific footer.')
diff --git a/R/sstable.R b/R/sstable.R
index ce3b227..edfc4f2 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -370,6 +370,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
   }
   ## output
+  class(tab) <- c('ss_baseline','ss_obj')
   return(tab)
 }
 
@@ -980,6 +981,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                 footer = footer)
     class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
   }
+  class(tab) <- c('ss_ae','ss_obj')
   return(tab)
 }
 
@@ -1312,6 +1314,7 @@ sstable.survcomp <- function(
                 footer = footer)
     class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
   }
+  class(tab) <- 'ss_obj'
   return(tab)
 }
 
@@ -1530,6 +1533,7 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
                 footer = footer)
     class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
   }
+  class(tab) <- c('ss_survcomp','ss_obj')
   return(tab)
 }
 
diff --git a/man/rbind.ss_tbl.Rd b/man/rbind.ss_obj.Rd
similarity index 54%
rename from man/rbind.ss_tbl.Rd
rename to man/rbind.ss_obj.Rd
index 5a0c798..cbb9b24 100644
--- a/man/rbind.ss_tbl.Rd
+++ b/man/rbind.ss_obj.Rd
@@ -1,19 +1,13 @@
 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/ssformat.R
-\name{rbind.ss_tbl}
-\alias{rbind.ss_tbl}
-\alias{rbind.ae_tbl}
-\alias{rbind.survcomp_tbl}
-\alias{rbind.baseline_tbl}
+\name{rbind.ss_obj}
+\alias{rbind.ss_obj}
+\alias{rbind.ss_ae}
 \title{Row-binding two sstables}
 \usage{
-\method{rbind}{ss_tbl}(tbl1, tbl2, footer = NULL, ...)
+\method{rbind}{ss_obj}(tbl1, tbl2, footer = NULL, ...)
 
-\method{rbind}{ae_tbl}(tbl1, tbl2, footer = NULL)
-
-\method{rbind}{survcomp_tbl}(tbl1, tbl2, footer = NULL)
-
-\method{rbind}{baseline_tbl}(tbl1, tbl2, footer = NULL)
+\method{rbind}{ss_ae}(tbl1, tbl2, footer = NULL)
 }
 \arguments{
 \item{tbl1, tbl2, }{two object of class sstables of the same template. Only export for technical use.}

From ef58d3c097654589da71e7c15f448723214be36d Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 25 Jun 2024 11:33:23 +0700
Subject: [PATCH 099/193] fix all.equal

---
 R/ssformat.R | 7 ++++---
 R/sstable.R  | 3 ++-
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 741478f..284b09b 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -673,13 +673,14 @@ rbind.ss_obj <- function(tbl1, tbl2, footer=NULL, ...){
   new_tbl$table <- rbind(tbl1$table, tbl2$table[-header,])
   new_tbl$footer <- tbl1$footer
   class(new_tbl$table) <- class(tbl1$table)
+  new_tbl
 }
 
 #' @rdname rbind.ss_obj
 #' @method rbind ss_ae
 #' @export
 rbind.ss_ae <- function(tbl1, tbl2, footer=NULL){
-  if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
+  if (!all.equal(tbl1$footer, tbl2$footer) & is.null(footer))
     stop('Two footers mismatched. Perhaps two tbl are using different config? \n
          To ignore this, set a specific footer.')
   out <- ._do_rbind(tbl1, tbl2, header=1:3)
@@ -691,7 +692,7 @@ rbind.ss_ae <- function(tbl1, tbl2, footer=NULL){
 #' @method rbind ss_survcomp
 #' @export
 rbind.ss_survcomp <- function(tbl1, tbl2, footer=NULL){
-  if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
+  if (!all.equal(tbl1$footer, tbl2$footer) & is.null(footer))
     stop('Two footers mismatched. Perhaps two tbl are using different config? \n
          To ignore this, set a specific footer.')
   out <- ._do_rbind(tbl1, tbl2, header=1:3)
@@ -703,7 +704,7 @@ rbind.ss_survcomp <- function(tbl1, tbl2, footer=NULL){
 #' @method rbind ss_baseline
 #' @export
 rbind.ss_baseline <- function(tbl1, tbl2, footer=NULL){
-  if (!all_equal(tbl1$footer, tbl2$footer) & is.null(footer))
+  if (!all.equal(tbl1$footer, tbl2$footer) & is.null(footer))
     stop('Two footers mismatched. Perhaps two tbl are using different config? \n
          To ignore this, set a specific footer.')
   out <- ._do_rbind(tbl1, tbl2, header=1)
diff --git a/R/sstable.R b/R/sstable.R
index edfc4f2..8800506 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1538,7 +1538,8 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
 }
 
 #' @export
-print.ss_tbl <- function(sstable){
+print.ss_tbl <- function(sstable, pretty=getOption('ss_pretty.print', TRUE)){
+  if (!pretty) return(print.default(sstable))
   tryCatch(
     {
       print(huxtable::as_hux(sstable) |> huxtable::theme_article())

From 25f2186ecc3c10ef67eb5a890b28a22323d8bb7a Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 25 Jun 2024 18:26:06 +0700
Subject: [PATCH 100/193] fix issue with rbind ae_tbl

---
 R/sstable.R | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 8800506..ffd6eb4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -599,18 +599,28 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   tmp <- match.call()
   if (length(aetype.var) > 1){
     env <- rlang::caller_env()
+    n.grade<-length(unique(na.omit(ae_data[, grade.var])))
     tbl1_call <- tmp
     tbl1_call$aetype.var <- aetype.var[[1]]
+    tbl1_call$flextable <- FALSE
     tbl1 <- eval(tbl1_call, envir = env)
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
                tbl_call <- tmp
                tbl_call$aetype.var <- .aetype.var
-               tbl_call$grade.var = NULL
+               tbl_call$flextable <- FALSE
+               # tbl_call$grade.var = NULL
                eval(tbl_call, envir=env)
              })
-     return(rbind(tbl1, do.call(rbind, tbl2p)))
+    tbl2 <- tbl2p[[1]]
+
+    # tbl2$table <- tbl2$table[-c(1:(3+n.grade)),]
+    for (tbl3 in tbl2p[-1]) tbl2 <- .do_rbind(tbl2, tbl3, header=c(1:(3+n.grade)))
+    # browser()
+     out <- ._do_rbind(tbl1, tbl2, header=c(1:(3+n.grade)))
+     if (flextable) return(ss_flextable(out))
+     return(out)
     }
 
   ## check variable's name
@@ -688,7 +698,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   ae_arm <- merge(idarm, ae, by = "id", all.y = TRUE) %>%
     mutate(arm = addNA(factor(as.character(arm), levels = arm_lev, exclude = NULL), ifany = TRUE),
            aetype = addNA(factor(as.character(aetype), levels = aetype_lev, exclude = NULL), ifany = TRUE))
-
+  idarm2 <- ae_arm |> select(id, arm)
   ## calculate episodes and patients
   ae_count <- ae_arm %>%
     group_by(aetype, arm) %>%
@@ -703,7 +713,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   episode_n[is.na(episode_n)] <- 0
   patient_n <- unlist(spread(select(ae_count, -n_episode), key = arm, value = n_patient)[, -1])
   patient_n[is.na(patient_n)] <- 0
-  patient_N <- rep(table(idarm$arm), each = nlevels(ae_arm$aetype))
+  patient_N <- rep(table(idarm2$arm), each = nlevels(ae_arm$aetype))
+  # tryCatch(patient_n/patient_N, warning=function(w) browser())
   patient_p <- patient_n/patient_N
 
   ## table

From 3d52b6517821bea932a0e18bb8cddb14ac98e44b Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 26 Jun 2024 09:56:54 +0700
Subject: [PATCH 101/193] Update DESCRIPTION

---
 DESCRIPTION | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 83ee533..70a5ca0 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -41,10 +41,12 @@ Imports:
     rlang,
     purrr,
     formula.tools,
-    eventglm
+    eventglm,
+    ggplot,
+    survminer,
+    ggsurvfit
 RoxygenNote: 7.3.1
 Suggests: knitr,
     rmarkdown,
-    huxtable,
-    ggplot
+    huxtable
 VignetteBuilder: knitr

From 3a81e342846de3a8ae4a5e6bf9cb93dd5cee1530 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 26 Jun 2024 10:05:19 +0700
Subject: [PATCH 102/193] Update DESCRIPTION

---
 DESCRIPTION | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 70a5ca0..5dfbc9f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -42,7 +42,7 @@ Imports:
     purrr,
     formula.tools,
     eventglm,
-    ggplot,
+    ggplot2,
     survminer,
     ggsurvfit
 RoxygenNote: 7.3.1

From 892a850576f9e26264ead2be53d6e4b24562d945 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 26 Jun 2024 10:07:27 +0700
Subject: [PATCH 103/193] Update DESCRIPTION

---
 DESCRIPTION | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 5dfbc9f..77d9244 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -36,7 +36,6 @@ Imports:
     readxl,
     flextable,
     officer,
-    survival,
     tidyr,
     rlang,
     purrr,
@@ -44,7 +43,8 @@ Imports:
     eventglm,
     ggplot2,
     survminer,
-    ggsurvfit
+    ggsurvfit,
+    survival
 RoxygenNote: 7.3.1
 Suggests: knitr,
     rmarkdown,

From 54b3591671b1851be296bc716914372ccf3043c0 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 26 Jun 2024 10:16:10 +0700
Subject: [PATCH 104/193] fix flextable true

---
 R/sstable.R | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index ffd6eb4..5ef917c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -370,7 +370,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
   }
   ## output
-  class(tab) <- c('ss_baseline','ss_obj')
+  if (!flextable) class(tab) <- c('ss_baseline','ss_obj')
   return(tab)
 }
 
@@ -992,7 +992,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                 footer = footer)
     class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
   }
-  class(tab) <- c('ss_ae','ss_obj')
+  if (!flextable) class(tab) <- c('ss_ae','ss_obj')
   return(tab)
 }
 
@@ -1325,7 +1325,7 @@ sstable.survcomp <- function(
                 footer = footer)
     class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
   }
-  class(tab) <- 'ss_obj'
+  if (!flextable) class(tab) <- c('ss_survcomp','ss_obj')
   return(tab)
 }
 
@@ -1544,7 +1544,7 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
                 footer = footer)
     class(tab$table) <- c('survcomp_tbl', 'ss_tbl', class(tab$table))
   }
-  class(tab) <- c('ss_survcomp','ss_obj')
+  if (!flextable) class(tab) <- c('ss_survcomp','ss_obj')
   return(tab)
 }
 

From 949084e4c9277144040414606b3a98377d5f89ab Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 26 Jun 2024 12:29:45 +0700
Subject: [PATCH 105/193] Update documentation

---
 R/gg_ajsurvplot.R     | 35 +++++++++++++++++++++++++++++------
 README.Rmd            | 12 +++++++++---
 README.md             | 25 ++++++++++++++++++-------
 man/gg_ajsurvplot2.Rd |  3 +++
 4 files changed, 59 insertions(+), 16 deletions(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 2e1ab6a..a36bda0 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -70,11 +70,11 @@ untidy_strata <- function(x, strata.col='strata') {
 #' @param x,times,type same as \link[ggsurvfit:tidy_survfit]{tidy_survfit}
 #' @export
 tidy_survfit2 <- function(x, times=NULL, type='survival'){
-  ggsurvfit::tidy_survfit(x, times=NULL, type) |>
+  ggsurvfit::tidy_survfit(x, times=times, type) |>
     untidy_strata()
 }
 
-#' Plot 2 Aalen-Johansen curve with ggplot for competing risks
+#' Plot 2 Aalen-Johansen curves with ggplot for competing risks
 #' @description
 #' Extend \link[ggsurvfit:ggsurvfit]{ggsurvfit} functionality to plot competing risk curve, with main risk and competing risk in one plot
 #'
@@ -82,16 +82,19 @@ tidy_survfit2 <- function(x, times=NULL, type='survival'){
 #' @param data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model
 #' @param weights,subset,na.action,,count,id,timefix parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},
 #' @param main.event,competing.event main and competing event to plot
+#' @param facet.by formula. default to all strata
 #' @param ... optional parameters passed to \code{ggsurvplot}.
 #' @param .return_data [FALSE] if TRUE, get the data instead.
+#' @import ggplot2
 #' @export
-gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, ..., .return_data=FALSE){
+gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ..., .return_data=FALSE){
   dot <- list(...)
   fgargs <- match.call()[-1]
+  fgargs$facet.by <- NULL
   fgargs$.return_data <- NULL
   fgargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
 
-  etypes <- with(fgargs, c(main.event, competing.event))
+  etypes <- with(fgargs, list(main.event, competing.event))
   fgargs.each <- lapply(etypes, function(etype) {
     new.arg <- fgargs
     new.arg$etype <- etype
@@ -113,7 +116,27 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   dt <- rbind(tidy1, tidy2)
   if (.return_data) return(dt)
 
-  ggplot(aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=event)) +
+  # facet <- if (formula.tools::is.formula(facet.by)) if (length(formula.tools::lhs.vars(facet.by)))
+    # facet_grid(facet.by) else facet_wrap(facet.by)
+  facet <- if (!is.null(facet.by))
+    if (length(formula.tools::lhs.vars(facet.by))) facet_grid(facet.by) else facet_wrap(facet.by)
+
+  if (is.null(facet.by))
+    return(
+      ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, fill=Event, color=strata)) +
+        geom_step(linewidth=1) +
+        ggsurvfit::theme_ggsurvfit_default()
+    )
+  # browser()
+  facet.vars <- formula.tools::get.vars(facet.by)
+  for (v in facet.vars) dt$strata <- gsub(
+    paste0(v,'=.*(,\\s)|$'), '', dt$strata, perl=T)
+  plt <- if (all(dt$strata == ''))
+   ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
+  else
+    ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, fill=Event, color=strata))
+  plt +
     geom_step(linewidth=1) +
-    ggsurvfit::theme_ggsurvfit_default()
+    ggsurvfit::theme_ggsurvfit_default() + facet
+
 }
diff --git a/README.Rmd b/README.Rmd
index 06e1fe9..48d5294 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -22,7 +22,7 @@ You can install C306 from github with:
 
 ```{r gh-installation, eval = FALSE}
 # install.packages("devtools")
-devtools::install_github("oucru-biostats/C306@feature-rmst")
+devtools::install_github("oucru-biostats/C306@feature-rbind")
 ```
 
 ## List of functions
@@ -47,6 +47,13 @@ These function provides helper to create ss_table-esque output, with supporting
 - `ht_theme_markdown` and `ht_theme_kable` functions to decorate huxtable to follow a sstable-esque theme
 - `as_sstable` converting objects to sstable
 
+## Plotting functions for Aalen-Johansen curves
+
+- `gg_boxcox` same with `MASS::boxcox` but in ggplot
+- `ggsurvfit2` same as `ggsurvfit::ggsurvfit` but with strata separated. Note that it relies on `tidy_survfit2` and does not work with `ggsurvfit::survfit2` at the moment.
+- `gg_ajsurvplot` plots one Aalen-Johansen curve for competing risks for the event of interest. Note that this is based on `surviminer` due to its flexibility
+- `gg_ajsurvplot2` plots **two** Aalen-Johansen curves for main risk (from bottom) and competing risk (from top). Note that this is based `ggsurvfit` with some limitations. However, it has the ability to return a dataset for more flexibility in plotting with ggplot.
+
 ### OUCRU function written by Lam PK
 
 - `import.info` and `convert.info` import and convert OUCRU dictionary to C306 style dict to use for data inspection
@@ -58,8 +65,7 @@ These function provides helper to create ss_table-esque output, with supporting
 
 - `logist_summary` based on a function by OUCRU Biostats group, reporting the OR of logistic regression
 - `subgroup_effect` extends `logist_summary` to report the subgroup OR of variables that have interaction with a common covariate (i.e. treatment arm).
-
-- `gg_boxcox` same with `MASS::boxcox` but in ggplot
 - `mutate_f` and `summarise_f` perform multiple assignment for data.frame by `c(a,b):=list(v_a, v_b)`
 - `simple_relevel` relevels a factor correposnding to the level of another factor
 - `simple_recode` pattern-based recoding of data by in-place replacement
+- `tidy_survfit2` same as \code{\link[ggsurvfit:tidy_survfit]{ggsurvfit:tidy_survfit}} but with strata saved for easier plotting. Note that it, at the moment, does not work with `ggsurvfit::survfit2` ironically.
diff --git a/README.md b/README.md
index 804b01c..128dbb5 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@ You can install C306 from github with:
 
 ``` r
 # install.packages("devtools")
-devtools::install_github("oucru-biostats/C306@feature-rmst")
+devtools::install_github("oucru-biostats/C306@feature-rbind")
 ```
 
 ## List of functions
@@ -46,6 +46,20 @@ supporting function to convert them to flextable or huxtable.
   huxtable to follow a sstable-esque theme
 - `as_sstable` converting objects to sstable
 
+## Plotting functions for Aalen-Johansen curves
+
+- `gg_boxcox` same with `MASS::boxcox` but in ggplot
+- `ggsurvfit2` same as `ggsurvfit::ggsurvfit` but with strata separated.
+  Note that it relies on `tidy_survfit2` and does not work with
+  `ggsurvfit::survfit2` at the moment.
+- `gg_ajsurvplot` plots one Aalen-Johansen curve for competing risks for
+  the event of interest. Note that this is based on `surviminer` due to
+  its flexibility
+- `gg_ajsurvplot2` plots **two** Aalen-Johansen curves for main risk
+  (from bottom) and competing risk (from top). Note that this is based
+  `ggsurvfit` with some limitations. However, it has the ability to
+  return a dataset for more flexibility in plotting with ggplot.
+
 ### OUCRU function written by Lam PK
 
 - `import.info` and `convert.info` import and convert OUCRU dictionary
@@ -60,17 +74,14 @@ supporting function to convert them to flextable or huxtable.
 
 - `logist_summary` based on a function by OUCRU Biostats group,
   reporting the OR of logistic regression
-
 - `subgroup_effect` extends `logist_summary` to report the subgroup OR
   of variables that have interaction with a common covariate
   (i.e. treatment arm).
-
-- `gg_boxcox` same with `MASS::boxcox` but in ggplot
-
 - `mutate_f` and `summarise_f` perform multiple assignment for
   data.frame by `c(a,b):=list(v_a, v_b)`
-
 - `simple_relevel` relevels a factor correposnding to the level of
   another factor
-
 - `simple_recode` pattern-based recoding of data by in-place replacement
+- `tidy_survfit2` same as but with strata saved for easier plotting.
+  Note that it, at the moment, does not work with `ggsurvfit::survfit2`
+  ironically.
diff --git a/man/gg_ajsurvplot2.Rd b/man/gg_ajsurvplot2.Rd
index e12b3e6..ebe4020 100644
--- a/man/gg_ajsurvplot2.Rd
+++ b/man/gg_ajsurvplot2.Rd
@@ -12,6 +12,7 @@ gg_ajsurvplot2(
   na.action,
   main.event,
   competing.event,
+  facet.by = ~strata,
   count,
   id,
   timefix,
@@ -28,6 +29,8 @@ gg_ajsurvplot2(
 
 \item{main.event, competing.event}{main and competing event to plot}
 
+\item{facet.by}{formula. default to all strata}
+
 \item{...}{optional parameters passed to \code{ggsurvplot}.}
 
 \item{.return_data}{[FALSE] if TRUE, get the data instead.}

From c4dedc7873d745fcaebcddd6aa0e71308668e480 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 26 Jun 2024 12:30:15 +0700
Subject: [PATCH 106/193] Update documentation

---
 README.Rmd | 2 +-
 README.md  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.Rmd b/README.Rmd
index 48d5294..9b56a30 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -47,7 +47,7 @@ These function provides helper to create ss_table-esque output, with supporting
 - `ht_theme_markdown` and `ht_theme_kable` functions to decorate huxtable to follow a sstable-esque theme
 - `as_sstable` converting objects to sstable
 
-## Plotting functions for Aalen-Johansen curves
+## Plotting functions
 
 - `gg_boxcox` same with `MASS::boxcox` but in ggplot
 - `ggsurvfit2` same as `ggsurvfit::ggsurvfit` but with strata separated. Note that it relies on `tidy_survfit2` and does not work with `ggsurvfit::survfit2` at the moment.
diff --git a/README.md b/README.md
index 128dbb5..dbbef39 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@ supporting function to convert them to flextable or huxtable.
   huxtable to follow a sstable-esque theme
 - `as_sstable` converting objects to sstable
 
-## Plotting functions for Aalen-Johansen curves
+## Plotting functions
 
 - `gg_boxcox` same with `MASS::boxcox` but in ggplot
 - `ggsurvfit2` same as `ggsurvfit::ggsurvfit` but with strata separated.

From 6a71b69d4db661ddafefc83f4ec8fea56daf0dce Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 1 Jul 2024 12:15:06 +0700
Subject: [PATCH 107/193] fix typo in footer

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 5ef917c..2c3c72f 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -276,7 +276,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #### summary statistics
   if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
     footer.con <- paste0(switch(statistics,
-                                med.IQR = "median (1st and 3rd quartiles))",
+                                med.IQR = "median (1st and 3rd quartiles)",
                                 med.90  = "median (90% range)",
                                 med.range = "median (range)",
                                 mean.sd = "mean (sd)"),

From c2a981fc742ac83d53655ada60286e74ef4f37b1 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 1 Jul 2024 12:29:07 +0700
Subject: [PATCH 108/193] Update sstable.R

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 2c3c72f..eaf2d85 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -928,8 +928,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   }
 
   ### footer
-  footer <- c("n episode refer to the number of adverse events in each study arm.",
-              "n patient refer to the number of patients with at least one event in each study arm.",
+  footer <- c("n episode refers to the number of adverse events in each study arm.",
+              "n patient refers to the number of patients with at least one event in each study arm.",
               if (any(value == "-")) "- : value cannot be estimated." else NULL,
               if (test) {paste("p-values were based on",
                                ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test if applicable and Fisher's exact test otherwise "),

From dc2170d0d80ee57567a9f4a911dafa3089141a0c Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 1 Jul 2024 13:13:12 +0700
Subject: [PATCH 109/193] upload data for vignette

---
 data/any_ae.rda         | Bin 0 -> 2825 bytes
 data/baseline_data.rda  | Bin 0 -> 10134 bytes
 data/classification.rda | Bin 0 -> 1191 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 data/any_ae.rda
 create mode 100644 data/baseline_data.rda
 create mode 100644 data/classification.rda

diff --git a/data/any_ae.rda b/data/any_ae.rda
new file mode 100644
index 0000000000000000000000000000000000000000..ea3380d452d1ebdd0de2d41336e47404f23eafef
GIT binary patch
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diff --git a/data/classification.rda b/data/classification.rda
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literal 0
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From 8cf5185aae9fcb6393547be8969e6ecbba6e8a98 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 1 Jul 2024 15:19:39 +0700
Subject: [PATCH 110/193] put data in correct place

---
 data/any_ae.rda                | Bin 2825 -> 0 bytes
 data/baseline_data.rda         | Bin 10134 -> 0 bytes
 data/classification.rda        | Bin 1191 -> 0 bytes
 inst/extdata/ae_data.csv       | 535 +++++++++++++++++++++++++++++++++
 inst/extdata/baseline_data.csv | 272 +++++++++++++++++
 inst/extdata/group_data.csv    |  89 ++++++
 6 files changed, 896 insertions(+)
 delete mode 100644 data/any_ae.rda
 delete mode 100644 data/baseline_data.rda
 delete mode 100644 data/classification.rda
 create mode 100644 inst/extdata/ae_data.csv
 create mode 100644 inst/extdata/baseline_data.csv
 create mode 100644 inst/extdata/group_data.csv

diff --git a/data/any_ae.rda b/data/any_ae.rda
deleted file mode 100644
index ea3380d452d1ebdd0de2d41336e47404f23eafef..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/data/classification.rda b/data/classification.rda
deleted file mode 100644
index 13b2ded9b19a63ff940f6ff03f723febbdad48a4..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/inst/extdata/ae_data.csv b/inst/extdata/ae_data.csv
new file mode 100644
index 0000000..24f1471
--- /dev/null
+++ b/inst/extdata/ae_data.csv
@@ -0,0 +1,535 @@
+"usubjid","ctcaename","ctcaegrade","original_ctcaegrade","posrelunrel","unexp"
+"003-001","Nausea","I","I","POSREL","N"
+"003-003","Back pain","I","I","POSREL","N"
+"003-004","Viral infection","I","NA","UNREL","Y"
+"003-006","Headache","I","I","POSREL","N"
+"003-007","Phlebitis","I","I","UNREL","N"
+"003-029","Gastritis","II","II","UNREL","Y"
+"003-034","Constipation","II","II","UNREL","N"
+"003-035","Constipation","II","II","UNREL","N"
+"003-044","Gastritis","II","NA","UNREL","Y"
+"003-073","Hemorrhoids","I","I","UNREL","N"
+"003-087","Skin allergy","II","NA","REL","N"
+"003-095","Phlebitis","I","I","UNREL","N"
+"003-105","pharyngitis","II","II","UNREL","Y"
+"003-109","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-122","Headache","I","I","POSREL","N"
+"003-135","Phlebitis","I","I","UNREL","N"
+"003-141","Headache","I","I","POSREL","N"
+"003-144","UTI","II","NA","UNREL","N"
+"003-150","Headache","I","I","POSREL","N"
+"003-167","Headache","I","I","POSREL","N"
+"003-184","Hemorrhoids","I","I","UNREL","N"
+"003-242","Fever","I","I","POSREL","N"
+"003-244","Fever","I","I","POSREL","N"
+"003-261","Skin allergy","II","NA","POSREL","N"
+"003-265","Constipation","II","II","UNREL","N"
+"003-004","Neuralgia","II","II","UNREL","Y"
+"003-006","Hiccup","II","II","UNREL","Y"
+"003-007","Constipation","II","II","UNREL","N"
+"003-014","Skin allergy","II","NA","POSREL","N"
+"003-015","Constipation","II","II","UNREL","N"
+"003-023","Constipation","II","II","UNREL","N"
+"003-027","Myocardial ischaemia","II","NA","UNREL","Y"
+"003-036","UTI","II","NA","UNREL","N"
+"003-037","Oral infection","II","NA","UNREL","Y"
+"003-072","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-074","Skin allergy","II","NA","POSREL","N"
+"003-076","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-081","Otitis","II","NA","UNREL","Y"
+"003-084","UTI","II","NA","UNREL","N"
+"003-094","Headache","I","I","REL","N"
+"003-101","UTI","II","NA","UNREL","N"
+"003-103","UTI","II","NA","UNREL","N"
+"003-111","UTI","II","NA","UNREL","N"
+"003-118","Atrial thrombosis","II","NA","POSREL","N"
+"003-136","Spinal disc herniation","NA","NA","UNREL","Y"
+"003-141","Fever","I","I","POSREL","N"
+"003-159","Phlebitis","I","I","UNREL","N"
+"003-212","Fever","I","I","POSREL","N"
+"003-242","Headache","I","I","POSREL","N"
+"003-255","Sinusitis","II","II","UNREL","Y"
+"003-258","Oral infection","II","NA","UNREL","Y"
+"003-261","facial nerve disorder","II","II","UNREL","N"
+"003-007","Constipation","II","II","UNREL","N"
+"003-009","Urinary retention","II","II","UNREL","N"
+"003-027","UTI","II","NA","UNREL","N"
+"003-036","Constipation","II","II","UNREL","N"
+"003-038","Upper gastrointestinal hemorrhage","II","II","UNREL","Y"
+"003-046","Phlebitis","I","I","UNREL","N"
+"003-074","Hyperglycaemia","II","II","UNREL","N"
+"003-081","Constipation","II","II","UNREL","N"
+"003-094","Chills","I","I","REL","N"
+"003-101","Arthritis","II","II","UNREL","Y"
+"003-104","Skin allergy","II","NA","POSREL","N"
+"003-127","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-146","Aspiration pneumonia","II","NA","UNREL","N"
+"003-173","UTI","II","NA","UNREL","N"
+"003-255","Viral infection","II","NA","UNREL","Y"
+"003-258","Constipation","II","II","UNREL","N"
+"003-267","Skin allergy","II","NA","POSREL","N"
+"003-001","Constipation","II","II","UNREL","N"
+"003-005","UTI","II","NA","UNREL","N"
+"003-007","Arthritis","II","II","UNREL","Y"
+"003-017","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-019","Arthralgia","II","II","UNREL","Y"
+"003-028","Tracheal hemorrhage","II","II","UNREL","N"
+"003-038","UTI","II","NA","UNREL","N"
+"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-053","Hypotension","III","III","UNREL","N"
+"003-065","Nose bleed","II","NA","UNREL","N"
+"003-067","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-090","Wound infection","II","II","UNREL","N"
+"003-094","Fever","I","I","REL","N"
+"003-116","UTI","II","NA","UNREL","N"
+"003-117","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-123","Allergy","II","NA","POSREL","N"
+"003-127","UTI","II","NA","UNREL","N"
+"003-131","Hyponatremia","II","II","UNREL","N"
+"003-146","Cellulitis","I","I","UNREL","N"
+"003-164","Aspiration pneumonia","II","NA","UNREL","N"
+"003-168","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-172","Hyponatremia","II","II","UNREL","N"
+"003-173","Blood stream infection","II","NA","UNREL","N"
+"003-174","Otitis","II","NA","UNREL","Y"
+"003-176","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-177","Nose bleed","II","NA","UNREL","N"
+"003-178","Hypokalemia","II","II","UNREL","N"
+"003-179","Hypocalcemia","III","III","UNREL","N"
+"003-180","Hypokalemia","II","II","UNREL","N"
+"003-197","Skin allergy","II","NA","POSREL","N"
+"003-199","Torticolis","II","NA","UNREL","Y"
+"003-201","Hypokalemia","III","III","UNREL","N"
+"003-210","Tracheal hemorrhage","II","II","UNREL","N"
+"003-223","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-228","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-230","Myocarditis","II","NA","UNREL","Y"
+"003-247","UTI","II","NA","UNREL","N"
+"003-253","Hypokalemia","II","II","UNREL","N"
+"003-255","Constipation","II","II","UNREL","N"
+"003-264","Hypokalemia","II","II","UNREL","N"
+"003-267","Gastritis","II","NA","UNREL","Y"
+"003-001","Insomnia","II","II","UNREL","Y"
+"003-005","Myocardial ischaemia","II","NA","UNREL","Y"
+"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-024","Arthritis","II","II","UNREL","Y"
+"003-028","Constipation","II","II","UNREL","N"
+"003-031","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-032","Constipation","II","II","UNREL","N"
+"003-037","UTI","II","NA","UNREL","N"
+"003-040","Conjunctivitis","II","II","UNREL","N"
+"003-042","Tracheal hemorrhage","II","II","UNREL","N"
+"003-043","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-047","UTI","II","NA","UNREL","N"
+"003-048","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-053","Aspiration pneumonia","II","NA","UNREL","N"
+"003-056","Cardiac arrest","IV","IV","UNREL","N"
+"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-082","UTI","II","NA","UNREL","N"
+"003-083","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-090","Phlebitis","I","I","UNREL","N"
+"003-091","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-092","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-096","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-098","Tracheal hemorrhage","I","I","UNREL","Y"
+"003-099","UTI","II","NA","UNREL","N"
+"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-115","UTI","II","NA","UNREL","N"
+"003-116","Skin allergy","II","NA","POSREL","N"
+"003-119","Voice alteration","I","I","UNREL","N"
+"003-131","Hypokalemia","II","II","UNREL","N"
+"003-133","UTI","II","NA","UNREL","N"
+"003-137","UTI","II","NA","UNREL","N"
+"003-139","Blood stream infection","II","NA","UNREL","N"
+"003-146","Arthritis","II","II","UNREL","Y"
+"003-152","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-153","Cardiac arrest","IV","IV","UNREL","N"
+"003-154","UTI","II","NA","UNREL","N"
+"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-163","Constipation","II","II","UNREL","N"
+"003-171","Hypokalemia","II","II","UNREL","N"
+"003-172","Hypokalemia","II","II","UNREL","N"
+"003-173","Hypokalemia","II","II","UNREL","N"
+"003-174","Hyponatremia","II","II","UNREL","N"
+"003-176","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-178","Necrotic wound","II","NA","UNREL","N"
+"003-180","Hypomagnesemia","I","I","UNREL","N"
+"003-186","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-187","Hypokalemia","II","II","UNREL","N"
+"003-191","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-192","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-201","Hypocalcemia","III","III","UNREL","N"
+"003-202","UTI","II","NA","UNREL","N"
+"003-203","Headache","I","I","POSREL","N"
+"003-210","Hypokalemia","II","II","UNREL","N"
+"003-213","Hypokalemia","II","II","UNREL","N"
+"003-214","Hypokalemia","II","II","UNREL","N"
+"003-217","Hypokalemia","II","II","UNREL","N"
+"003-218","Tracheal hemorrhage","I","I","UNREL","N"
+"003-221","Hypokalemia","II","II","UNREL","N"
+"003-222","Hypokalemia","II","II","UNREL","N"
+"003-227","Hypokalemia","II","II","UNREL","N"
+"003-228","Hypokalemia","II","II","UNREL","N"
+"003-229","Hypocalcemia","III","III","UNREL","N"
+"003-232","Hypokalemia","III","III","UNREL","N"
+"003-233","Hypocalcemia","II","II","UNREL","N"
+"003-238","Hypokalemia","II","II","UNREL","N"
+"003-247","Constipation","II","II","UNREL","N"
+"003-249","Hematuria","II","II","UNREL","Y"
+"003-250","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-252","Hypokalemia","II","II","UNREL","N"
+"003-259","Subcutaneous emphysema","I","I","UNREL","N"
+"003-263","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-264","Hypocalcemia","III","III","UNREL","N"
+"003-268","Hypokalemia","II","II","UNREL","N"
+"003-269","Heat stroke","NA","NA","UNREL","N"
+"003-270","Hypokalemia","II","II","UNREL","N"
+"003-272","Hypomagnesemia","I","I","UNREL","N"
+"003-001","UTI","II","NA","UNREL","N"
+"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-013","Skin allergy","I","NA","POSREL","N"
+"003-018","UTI","II","NA","UNREL","N"
+"003-021","Constipation","II","II","UNREL","N"
+"003-024","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Myocardial ischaemia","IV","NA","UNREL","N"
+"003-026","Atrial fibrillation","II","II","UNREL","Y"
+"003-027","Constipation","II","II","UNREL","N"
+"003-028","Dizziness","II","II","UNREL","Y"
+"003-032","Tracheal hemorrhage","II","II","UNREL","N"
+"003-040","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-050","Failed extubation","NA","NA","UNREL","Y"
+"003-061","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-062","Blood stream infection","II","NA","UNREL","N"
+"003-063","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-068","Blood stream infection","II","NA","UNREL","N"
+"003-072","Appendicitis","III","III","UNREL","N"
+"003-077","UTI","II","NA","UNREL","N"
+"003-079","UTI","II","NA","UNREL","Y"
+"003-082","Constipation","II","II","UNREL","N"
+"003-083","UTI","II","NA","UNREL","N"
+"003-090","Conjunctivitis","II","II","UNREL","N"
+"003-091","Tracheal hemorrhage","II","II","UNREL","N"
+"003-092","Deep vein thrombosis","II","NA","POSREL","N"
+"003-098","Nose bleed","II","II","UNREL","Y"
+"003-107","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-115","Voice alteration","I","I","UNREL","N"
+"003-116","Voice alteration","I","I","UNREL","N"
+"003-128","Hemorrhoids","II","II","UNREL","N"
+"003-146","Arthritis","II","II","UNREL","N"
+"003-148","Blood stream infection","II","NA","UNREL","N"
+"003-152","Atrial fibrillation","II","II","UNREL","Y"
+"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-157","Blood stream infection","II","NA","UNREL","N"
+"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-164","Hypokalemia","II","II","UNREL","N"
+"003-168","Blood stream infection","II","NA","UNREL","N"
+"003-169","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-171","UTI","II","NA","UNREL","N"
+"003-174","Hypocalcemia","III","III","UNREL","N"
+"003-176","Hypocalcemia","III","III","UNREL","N"
+"003-177","Hyponatremia","II","II","UNREL","N"
+"003-178","Myocarditis","II","NA","UNREL","Y"
+"003-182","Hypokalemia","II","II","UNREL","N"
+"003-186","Hypokalemia","II","II","UNREL","N"
+"003-187","Hypotension","II","II","UNREL","N"
+"003-191","Hypokalemia","II","II","UNREL","N"
+"003-192","Hyponatremia","II","II","UNREL","N"
+"003-198","Hyponatremia","II","II","UNREL","N"
+"003-201","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-202","Blood stream infection","II","NA","UNREL","N"
+"003-204","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-208","Acute renal failure","II","NA","UNREL","N"
+"003-210","Wound bleed","II","NA","UNREL","N"
+"003-213","Hypocalcemia","III","III","UNREL","N"
+"003-214","Hypocalcemia","III","III","UNREL","N"
+"003-217","Hypomagnesemia","I","I","UNREL","N"
+"003-218","Nose bleed","II","II","UNREL","N"
+"003-221","Nose bleed","II","II","UNREL","N"
+"003-222","UTI","II","NA","UNREL","N"
+"003-223","Hypocalcemia","III","III","UNREL","N"
+"003-228","Hyponatremia","II","II","UNREL","N"
+"003-229","Hypomagnesemia","II","II","UNREL","N"
+"003-230","Hypokalemia","II","II","UNREL","N"
+"003-233","Hypokalemia","II","II","UNREL","N"
+"003-237","Hypokalemia","II","II","UNREL","N"
+"003-238","UTI","II","NA","UNREL","N"
+"003-246","Hypokalemia","II","II","UNREL","N"
+"003-248","Hematuria","II","II","UNREL","N"
+"003-250","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-252","Hypocalcemia","II","II","UNREL","N"
+"003-253","Skin allergy","II","NA","POSREL","N"
+"003-256","Hypokalemia","II","II","UNREL","N"
+"003-257","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-259","Constipation","II","II","UNREL","N"
+"003-262","Hypocalcemia","II","II","UNREL","N"
+"003-263","Aspiration pneumonia","II","NA","UNREL","N"
+"003-264","Hyponatremia","II","II","UNREL","N"
+"003-268","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-269","Hypocalcemia","II","II","UNREL","N"
+"003-270","Hypocalcemia","III","III","UNREL","N"
+"003-271","Hypokalemia","II","II","UNREL","N"
+"003-011","UTI","II","NA","UNREL","N"
+"003-018","arthralgia","II","II","UNREL","Y"
+"003-021","UTI","II","NA","UNREL","N"
+"003-026","Anemia","III","III","UNREL","Y"
+"003-032","Deep vein thrombosis","III","NA","POSREL","N"
+"003-037","Bruising","I","I","UNREL","Y"
+"003-040","UTI","II","NA","UNREL","N"
+"003-043","Otitis","II","NA","UNREL","Y"
+"003-050","Tracheal hemorrhage","III","III","UNREL","N"
+"003-057","Pressure ulcer","II","NA","UNREL","N"
+"003-061","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-062","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-063","Aspiration pneumonia","II","NA","UNREL","N"
+"003-068","arthralgia","II","II","UNREL","Y"
+"003-077","Phlebitis","I","I","UNREL","N"
+"003-082","Hyponatremia","II","II","UNREL","N"
+"003-090","Tracheal stenosis","III","III","UNREL","N"
+"003-097","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-112","Conjunctivitis","II","II","UNREL","Y"
+"003-115","Skin allergy","II","NA","REL","N"
+"003-128","Upper respiratory infection","II","II","UNREL","N"
+"003-153","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-154","Blood stream infection","II","NA","UNREL","N"
+"003-157","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-164","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-168","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-169","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-171","Recurrent tetanus","III","III","UNREL","N"
+"003-174","Gastritis","II","II","UNREL","N"
+"003-176","Constipation","II","II","UNREL","N"
+"003-177","Hypocalcemia","III","III","UNREL","N"
+"003-178","Wound bleed","II","II","UNREL","N"
+"003-180","Nose bleed","II","II","UNREL","N"
+"003-186","Hypokalemia","II","II","UNREL","N"
+"003-191","Hypomagnesemia","I","I","UNREL","N"
+"003-192","Hypocalcemia","III","III","UNREL","N"
+"003-198","Hypokalemia","II","II","UNREL","N"
+"003-202","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-204","Acute renal failure","II","NA","UNREL","N"
+"003-217","Hyponatremia","II","II","UNREL","N"
+"003-221","Hypocalcemia","III","III","UNREL","N"
+"003-223","Hypokalemia","II","II","UNREL","N"
+"003-227","UTI","II","NA","UNREL","N"
+"003-228","Upper respiratory infection","II","II","UNREL","N"
+"003-229","Gastritis","II","II","UNREL","N"
+"003-230","Hyponatremia","II","II","UNREL","N"
+"003-232","Hypocalcemia","II","II","UNREL","N"
+"003-233","Upper respiratory infection","II","II","UNREL","N"
+"003-237","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-238","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-244","Hypokalemia","II","II","UNREL","N"
+"003-246","Hyponatremia","I","I","UNREL","N"
+"003-248","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-249","Hypokalemia","II","II","UNREL","N"
+"003-250","UTI","II","NA","UNREL","N"
+"003-252","Constipation","II","II","UNREL","N"
+"003-253","Blood stream infection","II","NA","UNREL","N"
+"003-256","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-257","Hypokalemia","II","II","UNREL","N"
+"003-259","Hypocalcemia","III","III","UNREL","N"
+"003-262","Hypokalemia","II","II","UNREL","N"
+"003-266","Gastrointestinal disorder","I","I","UNREL","Y"
+"003-268","Skin allergy","II","NA","POSREL","N"
+"003-269","Blood stream infection","II","NA","UNREL","N"
+"003-270","UTI","II","NA","UNREL","N"
+"003-272","Hypocalcemia","III","III","UNREL","N"
+"003-001","Urinary retention","II","II","POSREL","Y"
+"003-009","UTI","II","NA","UNREL","N"
+"003-010","Phlebitis","I","I","UNREL","N"
+"003-021","Hematuria","II","II","UNREL","N"
+"003-024","Constipation","II","II","UNREL","N"
+"003-026","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-027","Chronic venous insufficiency","II","NA","UNREL","Y"
+"003-032","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-037","Hyponatremia","III","III","UNREL","Y"
+"003-038","Aspiration pneumonia","II","NA","UNREL","N"
+"003-043","UTI","II","NA","UNREL","N"
+"003-050","Anemia","II","II","UNREL","Y"
+"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-063","Anemia","III","III","UNREL","Y"
+"003-082","Hypokalemia","II","II","UNREL","N"
+"003-097","UTI","II","NA","UNREL","N"
+"003-153","UTI","II","NA","UNREL","N"
+"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-164","Pneumothorax","II","II","UNREL","N"
+"003-177","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-180","Tracheal hemorrhage","II","II","UNREL","N"
+"003-182","Wound infection","II","NA","UNREL","N"
+"003-191","Tracheal hemorrhage","II","II","UNREL","N"
+"003-192","Tracheal hemorrhage","II","II","UNREL","N"
+"003-198","Hypocalcemia","III","III","UNREL","N"
+"003-202","Tracheal hemorrhage","I","I","UNREL","N"
+"003-204","Pressure ulcer","II","NA","UNREL","N"
+"003-208","Hypokalemia","II","II","UNREL","Y"
+"003-210","Hyponatremia","II","II","UNREL","N"
+"003-218","Hyperpyrexia","NA","NA","UNREL","N"
+"003-221","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-227","Hypocalcemia","II","II","UNREL","N"
+"003-228","Constipation","II","II","UNREL","N"
+"003-230","Hypocalcemia","II","II","UNREL","N"
+"003-232","Hyponatremia","I","I","UNREL","N"
+"003-237","Aspiration pneumonia","II","NA","UNREL","N"
+"003-238","Hypocalcemia","II","II","UNREL","N"
+"003-244","Hyponatremia","I","I","UNREL","N"
+"003-246","Hypomagnesemia","I","I","UNREL","N"
+"003-248","UTI","II","NA","UNREL","N"
+"003-249","Hypocalcemia","III","III","UNREL","N"
+"003-252","Skin allergy","I","NA","POSREL","N"
+"003-253","Constipation","II","II","UNREL","N"
+"003-256","Constipation","II","II","UNREL","N"
+"003-257","Hyponatremia","I","I","UNREL","N"
+"003-259","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-262","Blood stream infection","II","NA","UNREL","N"
+"003-263","Hyponatremia","II","II","UNREL","N"
+"003-264","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-266","Constipation","II","II","UNREL","N"
+"003-268","Hyponatremia","II","II","UNREL","N"
+"003-269","Hypokalemia","II","II","UNREL","N"
+"003-270","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-272","Hyponatremia","I","I","UNREL","N"
+"003-009","UTI","II","NA","UNREL","N"
+"003-010","UTI","II","NA","UNREL","N"
+"003-021","Tracheal hemorrhage","II","II","UNREL","N"
+"003-024","arthralgia","II","II","UNREL","Y"
+"003-025","Anemia","III","III","UNREL","N"
+"003-037","Tracheal hemorrhage","II","II","UNREL","N"
+"003-038","UTI","II","NA","UNREL","N"
+"003-043","Blood stream infection","II","NA","UNREL","Y"
+"003-050","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-057","UTI","II","NA","UNREL","N"
+"003-153","Blood stream infection","II","NA","UNREL","N"
+"003-154","Acute renal failure","III","NA","UNREL","N"
+"003-164","Tracheal hemorrhage","I","I","UNREL","N"
+"003-177","Acute renal failure","II","NA","UNREL","Y"
+"003-178","Hypocalcemia","III","III","UNREL","N"
+"003-180","Arterial thromboembolism","IV","IV","REL","N"
+"003-182","Hypocalcemia","III","III","UNREL","N"
+"003-198","Anemia","III","III","UNREL","Y"
+"003-202","Hypokalemia","II","II","UNREL","N"
+"003-208","Hypernatremia","I","I","UNREL","Y"
+"003-210","Hypocalcemia","III","III","UNREL","N"
+"003-218","Creatinine increase","III","III","UNREL","Y"
+"003-221","UTI","II","NA","UNREL","N"
+"003-227","Hyponatremia","I","I","UNREL","N"
+"003-229","Constipation","II","II","UNREL","N"
+"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-232","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-237","Hypocalcemia","II","II","UNREL","N"
+"003-244","Dizziness","II","II","UNREL","N"
+"003-246","Hypocalcemia","III","III","UNREL","N"
+"003-248","Hypertension","II","II","UNREL","N"
+"003-249","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-250","Hypokalemia","II","II","UNREL","N"
+"003-256","Conjunctivitis","II","II","UNREL","N"
+"003-257","Constipation","II","II","UNREL","N"
+"003-262","Nose bleed","I","I","UNREL","N"
+"003-263","Hypocalcemia","III","III","UNREL","N"
+"003-264","Back pain","II","II","UNREL","Y"
+"003-266","Hypokalemia","II","II","UNREL","N"
+"003-269","Skin allergy","II","NA","UNREL","N"
+"003-270","Hyponatremia","II","II","UNREL","N"
+"003-272","Constipation","II","II","UNREL","N"
+"003-009","Dysphagia","IV","IV","UNREL","Y"
+"003-010","UTI","II","NA","UNREL","N"
+"003-024","Cerebral hemorrhage","II","NA","UNREL","Y"
+"003-026","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-038","Cholangitis","NA","NA","UNREL","Y"
+"003-043","Anemia","III","III","UNREL","N"
+"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-153","Anemia","III","III","UNREL","Y"
+"003-154","Ventilator associated pneumonia","III","NA","UNREL","Y"
+"003-177","Ventilator associated pneumonia","IV","IV","UNREL","Y"
+"003-178","Deep vein thrombosis","III","III","POSREL","N"
+"003-198","Hypomagnesemia","I","I","UNREL","N"
+"003-204","Hypernatremia","I","I","UNREL","N"
+"003-208","Blood stream infection","II","NA","UNREL","N"
+"003-210","Oral infection","II","II","UNREL","N"
+"003-218","Arterial thromboembolism","IV","IV","POSREL","N"
+"003-221","Blood stream infection","II","NA","UNREL","N"
+"003-227","Constipation","II","II","UNREL","N"
+"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-232","Pleural abscess","NA","NA","UNREL","Y"
+"003-237","Hypomagnesemia","I","I","UNREL","N"
+"003-246","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-248","Hypokalemia","II","II","UNREL","N"
+"003-249","UTI","II","NA","UNREL","N"
+"003-250","Constipation","II","II","UNREL","N"
+"003-257","Dizziness","II","II","UNREL","N"
+"003-262","Oral infection","II","II","UNREL","Y"
+"003-263","Hypokalemia","III","III","UNREL","N"
+"003-266","Hyponatremia","II","II","UNREL","N"
+"003-269","Hyponatremia","I","I","UNREL","N"
+"003-010","Pyloric stenosis","III","III","UNREL","Y"
+"003-025","Anemia","III","III","UNREL","N"
+"003-026","UTI","II","NA","UNREL","N"
+"003-043","UTI","II","NA","UNREL","N"
+"003-107","Cardiac arrest","IV","IV","UNREL","N"
+"003-153","Hyponatremia","III","III","UNREL","N"
+"003-178","Wound infection","II","NA","UNREL","N"
+"003-204","Hypokalemia","II","II","UNREL","N"
+"003-208","Anemia","III","III","UNREL","Y"
+"003-221","Upper respiratory infection","II","II","UNREL","N"
+"003-230","Sinus bradycardia","I","I","UNREL","Y"
+"003-237","Hyponatremia","III","III","UNREL","N"
+"003-246","Pruritus","II","II","POSREL","N"
+"003-248","Skin allergy","II","NA","POSREL","N"
+"003-249","Urinary retention","II","II","UNREL","Y"
+"003-262","Hyponatremia","II","II","UNREL","N"
+"003-263","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-269","Constipation","II","II","UNREL","N"
+"003-271","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Anemia","III","III","UNREL","N"
+"003-037","Aspiration pneumonia","II","NA","UNREL","N"
+"003-043","Pressure ulcer","III","NA","UNREL","N"
+"003-153","Hypokalemia","II","II","UNREL","N"
+"003-164","Conjunctivitis","II","II","UNREL","Y"
+"003-178","Blood stream infection","II","NA","UNREL","N"
+"003-204","Hypocalcemia","III","III","UNREL","N"
+"003-208","Hypotension","III","III","UNREL","N"
+"003-230","Dizziness","II","II","UNREL","Y"
+"003-246","Myalgia","II","II","UNREL","N"
+"003-248","Constipation","II","II","UNREL","N"
+"003-262","Constipation","II","II","UNREL","N"
+"003-263","Deep vein thrombosis","III","NA","POSREL","N"
+"003-025","UTI","II","NA","UNREL","N"
+"003-037","Adrenal insufficiency","II","II","UNREL","Y"
+"003-153","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-178","Tracheal hemorrhage","II","II","UNREL","N"
+"003-204","Rhabdomyolysis","II","II","UNREL","N"
+"003-208","Platelet count decreased","III","III","UNREL","N"
+"003-230","Constipation","II","II","UNREL","N"
+"003-262","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-263","Low weight, muscle wasting","II","NA","UNREL","Y"
+"003-269","UTI","II","NA","UNREL","N"
+"003-025","Platelet count decreased","III","III","UNREL","N"
+"003-153","Pressure ulcer","II","II","UNREL","N"
+"003-204","Anemia","III","III","UNREL","Y"
+"003-208","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-262","Low weight, muscle wasting","II","NA","UNREL","Y"
+"003-269","Low weight, muscle wasting","II","NA","UNREL","N"
+"003-271","Postoperative hemorrage","II","II","UNREL","N"
+"003-025","Hypokalemia","II","II","UNREL","N"
+"003-204","UTI","II","NA","UNREL","N"
+"003-208","Sinus bradycardia","II","II","UNREL","N"
+"003-262","Failed extubation","III","III","UNREL","N"
+"003-271","Constipation","II","II","UNREL","N"
+"003-025","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-208","Adrenal insufficiency","II","II","UNREL","Y"
+"003-271","Hypotension","IV","IV","UNREL","N"
+"003-025","Hypotension","III","III","UNREL","N"
+"003-208","Pressure ulcer","II","NA","UNREL","N"
+"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Hypotension","III","III","UNREL","N"
+"003-208","Hypoalbuminemia","III","III","UNREL",NA
+"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","UTI","II","NA","UNREL","N"
+"003-208","Constipation","II","II","UNREL","N"
+"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Adrenal insufficiency","II","II","UNREL","N"
+"003-208","Cerbral infarction","IV","IV","POSREL","Y"
+"003-269","Hypotension","IV","IV","POSREL","N"
diff --git a/inst/extdata/baseline_data.csv b/inst/extdata/baseline_data.csv
new file mode 100644
index 0000000..33c3ddb
--- /dev/null
+++ b/inst/extdata/baseline_data.csv
@@ -0,0 +1,272 @@
+"usubjid","age","sex","bmi","source","tetanus","icudays","outcome","hypertension","myocardialinfart","angina","perivascular","chronicpul","connectivetissue","mildliver","hemiplegia","diawithchronic","severeliver","aids","cardiacfailureiii","cerebrovascular","severeresp","pepticulcer","diabetes","severekidney","malignancy","tumour","dementia","renalfailure","electivesurgery","emergencysurgery","timetoadm","incubationperiod","incuperiodonset","wound","diffbreath","ablettscore","asa","maxtemp","resp","fio2","spo2","pao2","ph","plt","wbc","hct","maxhr","minhr","maxsbp","worstdbp","worstsbp","vaso","na","k","creat","apacheii","sofa","tss","Arm","pain_score"
+"003-001",78,"F",17.7777777777778,2,"Y",7,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37,20,21,98,NA,NA,264,6.58,39.6,104,84,200,110,200,"N",136,3.5,60,9,0,8,"Intrathecal treatment",2
+"003-002",60,"F",22.2222222222222,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","II",1,37,22,21,98,NA,NA,237,7.25,37.6,92,72,160,90,160,"N",143,3.46,53,8,0,-2,"Sham procedure",1
+"003-003",48,"M",25.8166302126286,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,36,"Superficial/other","N","II",1,37.1,20,21,94,NA,NA,226,7.81,48.3,88,64,150,100,150,"N",143,3.92,79,5,0,4,"Sham procedure",4
+"003-004",16,"M",19.8140527358634,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,5,24,"Superficial/other","Y","II",1,38,26,21,96,NA,NA,308,12.8,40.7,108,84,140,80,140,"N",139,3.56,65,1,0,2,"Sham procedure",4
+"003-005",63,"F",18.7304890738814,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,20,24,"Superficial/other","N","II",1,37.5,20,21,95,NA,NA,369,13,39,100,94,110,70,110,"N",140,3,44,6,0,0,"Intrathecal treatment",4
+"003-006",40,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,314,8.84,46,92,72,160,90,160,"N",136,3.92,58,3,0,-1,"Intrathecal treatment",3
+"003-007",61,"F",19.53125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,48,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,276,5.37,37,92,76,150,90,150,"N",138,3.83,58,5,0,-1,"Sham procedure",2
+"003-008",71,"M",18.4240362811791,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N",4,30,NA,"Deep","N","I",1,37,24,21,96,NA,NA,305,7.78,46,92,80,160,80,120,"N",128,3.32,111,9,1,11,"Intrathecal treatment",2
+"003-009",82,"M",21.3333333333333,2,"Y",75,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","I",1,37.5,20,50,85,98,7.4,294,14.7,37,108,84,140,90,140,"N",136,3.85,67,6,2,8,"Intrathecal treatment",3
+"003-010",45,"M",24.2214532871972,2,"Y",23,3,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Deep","N","III",2,37.5,24,21,94,NA,7.4,157,9.95,34.5,109,104,120,80,120,"N",134,3.74,50,4,0,11,"Intrathecal treatment",5
+"003-011",84,"M",19.1000918273646,1,"Y",37,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,72,"Superficial/other","N","II",1,37.6,28,21,94,NA,NA,175,7.54,35,64,48,140,80,140,"N",148,2.27,73,13,0,7,"Sham procedure",4
+"003-012",47,"M",21.2585034013605,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,138,7.91,43.6,72,56,130,80,130,"N",140,3.56,85,2,1,-6,"Sham procedure",3
+"003-013",65,"M",19.53125,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,276,8.64,42.3,84,76,140,70,130,"N",136,3.68,83,5,0,-3,"Sham procedure",3
+"003-014",44,"M",20.5761316872428,2,"Y",10,4,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N",5,5,96,"Superficial/other","Y","II",1,37.6,26,21,97,NA,NA,309,11.5,43,100,84,110,60,100,"N",140,3.13,65,2,0,-1,"Intrathecal treatment",1
+"003-015",46,"M",19.1515847936417,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,2,24,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,249,6.53,47.4,88,76,140,80,140,"N",141,3.56,67,3,0,-3,"Sham procedure",5
+"003-016",41,"M",21.8724228190326,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,22,21,94,NA,NA,216,6.72,44,92,72,130,80,120,"N",135,3.45,86,1,0,0,"Intrathecal treatment",5
+"003-017",55,"M",20.7612456747405,2,"Y",22,4,"N","N","N","N","N","N","Y","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,217,9.36,47,88,64,160,90,160,"N",155,2.18,110,13,1,2,"Sham procedure",1
+"003-018",33,"F",22.0603537981269,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","I",1,38,20,21,97,NA,NA,375,9.92,39,92,84,130,80,110,"N",137,4.79,55,0,0,-5,"Sham procedure",1
+"003-019",60,"F",23.4375,2,"Y",10,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,96,"Superficial/other","N","II",2,37.8,22,21,96,NA,NA,255,8.63,39.4,72,64,150,110,140,"N",139,3.74,66,5,0,1,"Sham procedure",1
+"003-020",41,"F",24.5577523413111,1,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,15,NA,"Superficial/other","N","I",2,37.6,24,21,96,NA,NA,334,7.93,44.7,88,68,140,100,140,"N",139,3.39,53,5,0,-1,"Sham procedure",5
+"003-021",27,"M",23.4375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,24,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,340,12.7,45.5,90,84,130,80,120,"N",142,3.37,87,1,0,-5,"Intrathecal treatment",5
+"003-022",23,"M",18.7304890738814,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","Y","III",1,38,22,21,97,NA,NA,302,15.3,39.3,100,92,130,80,130,"N",143,3.03,74,2,0,-1,"Intrathecal treatment",4
+"003-023",53,"M",24.3374797187669,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",1,37.4,26,21,94,NA,NA,266,7.94,47,100,88,160,100,160,"N",136,3.81,90,6,0,4,"Intrathecal treatment",2
+"003-024",42,"M",21.875,2,"Y",34,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,349,13.9,42,106,96,130,80,130,"N",141,3.61,55,0,0,1,"Intrathecal treatment",2
+"003-025",63,"F",16.8474687705457,2,"Y",NA,4,"N","N","N","Y","Y","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",3,37.6,24,21,94,NA,NA,358,19.9,32,92,84,160,90,160,"N",130,3.52,37,13,0,9,"Sham procedure",4
+"003-026",80,"F",20,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,38.2,24,21,96,NA,NA,212,10.05,34.4,96,80,160,90,160,"N",139,3.35,63,9,0,6,"Sham procedure",2
+"003-027",64,"F",23.9360623149012,1,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,NA,"Superficial/other","N","I",2,37.5,24,21,96,NA,NA,221,10.79,40,96,76,180,100,180,"N",137.8,3.49,44,8,0,2,"Intrathecal treatment",1
+"003-028",67,"F",20,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N",5,NA,96,"Superficial/other","N","I",2,37.4,24,21,96,NA,NA,174,7.16,36.9,80,72,140,90,140,"N",139,2.99,61,12,0,0,"Intrathecal treatment",3
+"003-029",33,"M",20.8116545265349,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,NA,"Superficial/other","N","I",1,37,26,21,97,NA,NA,230,14.4,46,84,76,120,70,120,"N",139,3.95,130,2,1,-5,"Intrathecal treatment",5
+"003-030",46,"M",23.1833910034602,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,NA,"Superficial/other","N","I",1,37.4,22,21,97,NA,NA,259,7.88,42.6,88,80,130,80,130,"N",140,3.55,89,2,0,-5,"Sham procedure",3
+"003-031",50,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,37.4,22,21,94,NA,NA,279,10.7,46,96,80,160,110,160,"N",140,3.27,62,11,0,4,"Intrathecal treatment",1
+"003-032",63,"M",23.6614386154678,2,"Y",21,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,7,96,"Superficial/other","N","II",2,37,24,21,97,NA,NA,148,4.61,37.9,68,64,130,80,130,"N",145,3.28,111,6,2,-2,"Sham procedure",2
+"003-033",52,"M",15.625,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,256,10.9,40.5,84,84,130,80,130,"N",140,3.52,79,2,0,-5,"Intrathecal treatment",4
+"003-034",42,"M",20.8116545265349,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,NA,24,"Superficial/other","N","II",2,37.6,24,21,98,NA,NA,326,6.19,26.5,100,88,150,100,150,"N",141,2.98,46,18,0,2,"Sham procedure",4
+"003-035",57,"F",18.1786703601108,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,339,6.18,39,88,84,150,100,150,"N",136,4.64,74,5,0,-2,"Intrathecal treatment",1
+"003-036",55,"M",18.6268226245794,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,48,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,309,14.15,39.8,88,76,130,80,130,"N",137,3.78,77,3,0,-5,"Sham procedure",5
+"003-037",61,"F",24.9739854318418,2,"Y",28,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","Y","III",2,38,22,25,93,NA,NA,142,9.26,36.4,100,88,140,80,140,"N",139,3.07,53,6,1,4,"Intrathecal treatment",1
+"003-038",88,"F",20.4081632653061,2,"Y",26,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",2,37,24,21,96,NA,NA,217,9.78,38,100,76,180,100,180,"N",140,4.33,60,8,0,12,"Sham procedure",4
+"003-039",54,"M",25.3443526170799,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,NA,"Superficial/other","N","I",1,37,22,21,96,NA,NA,255,16.5,42,108,60,190,110,190,"N",140,3.62,90,6,0,0,"Sham procedure",3
+"003-040",34,"M",25.9701155481953,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37,20,21,99,NA,NA,242,7.9,44,104,88,150,80,150,"N",133,3.42,77,1,0,5,"Sham procedure",4
+"003-041",55,"M",25.7116620752984,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,5,NA,"Superficial/other","N","I",2,37,24,21,98,NA,NA,322,9.43,38,92,88,130,80,130,"N",141,3.74,109,3,0,-2,"Intrathecal treatment",5
+"003-042",27,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,4,24,"Superficial/other","N","II",2,39,26,40,97,101,7.36,339,16,43,148,88,130,80,130,"N",143,3.12,69,9,1,11,"Intrathecal treatment",5
+"003-043",68,"F",20,2,"Y",43,3,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","Y","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,24,21,80,NA,NA,523,11.4,35,124,104,140,80,140,"N",138,4.28,68,12,0,9,"Sham procedure",4
+"003-044",41,"M",18.9619274241523,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",15,NA,NA,"Superficial/other","N","I",1,38,20,21,98,NA,NA,385,7.16,45,84,80,140,80,140,"N",137,3.72,83,0,0,-4,"Intrathecal treatment",3
+"003-045",49,"F",18.7304890738814,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,24,"Superficial/other","N","II",1,37.2,20,21,97,NA,NA,361,8.57,38,92,88,110,70,110,"N",143,3.45,56,3,0,-6,"Intrathecal treatment",3
+"003-046",61,"M",22.8373702422145,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,306,5.98,44,96,84,160,90,140,"N",140,4.62,75,3,0,4,"Intrathecal treatment",2
+"003-047",43,"M",22.0931700542861,1,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,72,"Superficial/other","N","I",1,37.2,22,21,97,NA,NA,251,6.84,41,86,68,140,80,120,"N",138,3.58,58,5,0,2,"Sham procedure",5
+"003-048",56,"M",22.038567493113,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,72,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,351,10.8,38,100,88,140,80,120,"N",144,3.5,80,3,0,-3,"Intrathecal treatment",5
+"003-049",64,"M",19.921875,2,"Y",12,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,120,"Superficial/other","N","II",2,37.4,30,21,91,NA,NA,221,6.93,36,100,64,140,90,140,"N",142,3.74,77,4,0,-1,"Intrathecal treatment",1
+"003-050",59,"M",20.8888888888889,2,"Y",33,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","Y","III",2,37.6,25,40,92,168,7.43,124,6.65,25.3,124,96,180,90,180,"N",138,3.67,65,10,3,15,"Intrathecal treatment",3
+"003-051",63,"M",16.8061342389972,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,244,7.44,40,80,72,140,80,130,"N",143,3.95,84,3,0,-3,"Sham procedure",2
+"003-052",65,"F",23.309053069719,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,15,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,337,6.58,39,80,72,150,70,120,"N",139,3.85,61,5,0,4,"Sham procedure",3
+"003-053",38,"M",20.0288415318058,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,23,"Superficial/other","Y","III",2,37.5,20,21,95,NA,NA,210,9.15,35.3,120,68,160,90,160,"N",140,3.59,47,6,0,15,"Sham procedure",4
+"003-054",73,"M",23.4375,2,"Y",22,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",3,NA,24,"Superficial/other","N","II",3,38.5,22,36,97,NA,NA,351,13.48,45.9,104,86,170,80,170,"N",138,3.65,112,8,2,10,"Sham procedure",2
+"003-055",57,"F",21.3333333333333,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,72,"Superficial/other","N","II",2,38.4,28,21,92,NA,NA,402,19.16,31.5,108,80,170,90,170,"N",139,4.25,80,7,0,3,"Intrathecal treatment",5
+"003-056",86,"F",22.2222222222222,2,"Y",1,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,10,120,"Superficial/other","Y","III",2,39,24,40,80,NA,NA,147,8.98,38,128,80,136,60,80,"Y",129,3.63,90,15,7,21,"Sham procedure",3
+"003-057",88,"F",20.703125,2,"Y",37,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,8,48,"Superficial/other","N","II",2,38,32,21,92,NA,NA,189,8.68,42,128,84,190,110,190,"N",144,2.62,101,14,0,16,"Intrathecal treatment",3
+"003-058",40,"M",18.732782369146,2,"Y",2,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,313,15.8,41,88,80,130,90,130,"N",NA,NA,84,1,0,-5,"Sham procedure",2
+"003-059",23,"M",20.7756232686981,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,301,11.9,44,88,80,120,70,110,"N",143,3.54,106,0,0,-5,"Sham procedure",2
+"003-060",48,"M",21.6333153055706,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,276,8.99,42,88,84,110,70,100,"N",144,3.78,88,2,0,-5,"Sham procedure",4
+"003-061",86,"M",20.4152249134948,2,"Y",24,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,244,7.94,38,88,80,150,90,150,"N",138,4.07,100,8,0,12,"Sham procedure",2
+"003-062",61,"M",20.7612456747405,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,21,48,"Superficial/other","N","II",2,37.4,22,21,92,NA,NA,137,8.2,44,160,88,210,110,210,"N",145,3.44,89,10,1,6,"Intrathecal treatment",1
+"003-063",50,"M",20.2020202020202,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.6,18,21,96,NA,NA,243,9.83,35,120,104,120,70,120,"N",137,4.03,108,4,0,4,"Sham procedure",4
+"003-064",61,"M",20.5498866213152,2,"Y",9,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","I",3,38.2,22,21,93,NA,NA,234,10.4,35,100,80,140,80,140,"N",138,4.36,90,3,0,7,"Intrathecal treatment",1
+"003-065",77,"M",23.1246703720232,2,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.5,25,21,90,NA,NA,185,7.13,42,108,100,150,70,150,"N",138,3.14,82,8,0,7,"Sham procedure",5
+"003-066",61,"F",18.6666666666667,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","II",2,38.5,20,21,98,NA,NA,289,5.7,36,100,68,190,70,120,"N",139,2.92,84,6,0,2,"Intrathecal treatment",2
+"003-067",39,"M",24.609375,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",1,38,20,21,95,NA,NA,253,10.2,39.1,86,68,120,60,100,"N",142,3.35,86,1,0,-5,"Intrathecal treatment",5
+"003-068",48,"F",22.6666666666667,1,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,39,22,21,93,NA,NA,319,8.77,40,108,70,150,90,150,"N",142,3.23,79,8,0,12,"Intrathecal treatment",2
+"003-069",44,"M",21.484375,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,NA,24,"Superficial/other","N","II",1,37.4,18,21,97,NA,NA,162,7.69,41,64,54,140,70,140,"N",138,3.71,90,2,0,2,"Intrathecal treatment",2
+"003-070",20,"M",22.65625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",1,38,18,21,97,NA,NA,286,10.6,39,88,52,110,60,90,"N",139,3.43,75,1,0,-5,"Sham procedure",3
+"003-071",66,"F",20.4444444444444,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,72,"Superficial/other","N","II",2,37.6,24,21,96,NA,NA,344,11,37,100,92,110,60,110,"N",138,3.37,74,6,0,-3,"Intrathecal treatment",2
+"003-072",23,"M",23.7386621315193,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N",2,14,24,"Superficial/other","N","II",2,37.2,20,21,98,NA,NA,240,11.2,44.1,94,92,120,70,120,"N",140,4.01,97,5,0,3,"Sham procedure",3
+"003-073",37,"M",21.4535737137265,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,15,144,"Superficial/other","N","I",1,37,22,21,97,NA,NA,266,6.46,47,84,68,140,90,140,"N",138,3.43,79,2,0,-3,"Sham procedure",3
+"003-074",51,"F",21.6412742382271,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,335,14.6,46,80,76,160,90,160,"N",141,3.52,77,5,0,7,"Intrathecal treatment",1
+"003-075",60,"M",20.7612456747405,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,14,92,"Superficial/other","N","III",1,37.4,22,21,95,NA,NA,225,9.72,46,96,80,170,100,170,"N",133,3.63,56,6,0,-2,"Intrathecal treatment",1
+"003-076",41,"M",18.7304890738814,2,"Y",8,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,48,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,302,7.17,37,100,80,180,100,180,"N",146,3.4,116,3,1,2,"Sham procedure",5
+"003-077",52,"F",22.2222222222222,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,24,"Superficial/other","Y","III",1,37.5,20,40,94,NA,NA,364,14.8,33.2,116,84,130,80,130,"N",146,3.86,54,4,1,1,"Sham procedure",1
+"003-078",54,"M",21.484375,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.4,20,21,97,NA,NA,230,5.99,39.4,84,72,120,80,120,"N",140,3.66,91,2,0,-5,"Intrathecal treatment",5
+"003-079",56,"M",19.53125,2,"Y",27,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,38,26,21,93,NA,NA,398,10.7,35.3,96,92,160,90,160,"N",138,3.5,92,6,0,4,"Sham procedure",1
+"003-080",77,"M",26.6666666666667,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","Y",7,13,120,"Superficial/other","N","II",3,37.8,26,21,96,NA,NA,349,7.77,38.9,124,80,150,90,150,"N",140,4.6,140,18,1,12,"Intrathecal treatment",2
+"003-081",73,"F",20,2,"Y",8,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",3,37.4,20,21,96,NA,NA,160,6.81,37.3,92,84,140,80,140,"N",137,3.84,98,5,0,7,"Sham procedure",1
+"003-082",60,"M",21.484375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,96,"Superficial/other","N","II",2,37,22,21,96,NA,NA,363,7.85,35.3,84,60,120,80,120,"N",132,3.63,70,3,0,-2,"Sham procedure",3
+"003-083",52,"M",26.6666666666667,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,298,8.39,36,80,76,120,80,120,"N",135,3.82,66,2,0,0,"Intrathecal treatment",3
+"003-084",55,"M",22.4913494809689,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,22,21,97,NA,NA,320,12.21,41,76,72,150,90,150,"N",138,3.29,73,6,0,-1,"Sham procedure",4
+"003-085",43,"M",23.4375,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,72,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,279,7.9,40,98,84,140,90,140,"N",137,4.12,117,0,1,-3,"Intrathecal treatment",2
+"003-086",18,"F",22.2222222222222,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",2,39.5,24,21,97,NA,NA,89,7.89,39.2,112,92,120,80,120,"N",145,4.11,62,5,2,5,"Intrathecal treatment",4
+"003-087",50,"M",21.0771952275208,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,287,9.68,36,80,52,130,80,130,"N",140,3.72,89,2,0,-5,"Sham procedure",3
+"003-088",41,"M",27.34375,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,24,"Superficial/other","Y","II",2,39,26,21,95,NA,NA,346,12.7,44.7,132,84,200,120,200,"N",137,2.99,85,16,0,14,"Intrathecal treatment",1
+"003-089",63,"M",20.7612456747405,1,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,255,9.29,37.3,92,84,150,90,150,"N",141,3.63,89,5,0,4,"Intrathecal treatment",3
+"003-090",56,"M",20.0692041522491,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","III",1,37.5,24,30,96,105,7.45,248,8.78,41,88,76,130,80,130,"N",140,3.8,84,3,0,0,"Sham procedure",4
+"003-091",45,"F",22.8928199791883,1,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,405,8.77,42.7,104,84,140,80,140,"N",132,4.02,66,2,0,3,"Intrathecal treatment",2
+"003-092",70,"M",18.9387755102041,1,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",7,7,24,"Superficial/other","N","II",3,37,22,21,97,NA,NA,235,8.24,36.9,80,72,140,80,140,"N",138,3.72,91,5,0,1,"Sham procedure",5
+"003-093",38,"M",18.2867797339453,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,10,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,251,6.65,44,92,76,130,80,130,"N",135,3.86,79,0,0,-6,"Sham procedure",2
+"003-094",37,"M",26.218820861678,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,11,24,"Superficial/other","N","II",1,38,24,21,95,NA,NA,223,7.09,43.5,120,84,130,80,130,"N",136,3.76,73,2,0,4,"Intrathecal treatment",1
+"003-095",49,"M",24.2439184746877,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,300,7.66,44,96,60,160,100,160,"N",134,3.95,74,4,0,-2,"Sham procedure",2
+"003-096",41,"M",19.9593554942662,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,10,24,"Superficial/other","N","II",1,39,30,21,96,NA,NA,374,12.7,38.4,96,84,130,90,130,"N",151,3.54,88,5,0,-2,"Intrathecal treatment",3
+"003-097",66,"F",24.9739854318418,2,"Y",33,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,179,15,39.8,100,96,130,80,130,"N",140,3.32,67,7,0,-5,"Sham procedure",3
+"003-098",53,"M",20.8116545265349,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37.2,20,21,99,NA,NA,246,8.54,38.8,76,76,110,70,100,"N",153,3.65,85,3,0,-5,"Sham procedure",2
+"003-099",56,"F",24.9739854318418,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,6,24,"Superficial/other","Y","II",2,37.4,22,21,95,NA,NA,315,11.3,34.5,106,84,150,100,150,"N",139,4.49,50,12,0,7,"Intrathecal treatment",2
+"003-100",66,"F",20,1,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,9,48,"Superficial/other","N","II",1,37.4,22,21,93,NA,NA,374,10.5,38.4,86,76,150,90,150,"N",140,3.89,58,12,0,-1,"Sham procedure",4
+"003-101",60,"M",25.390625,2,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,NA,"Superficial/other","N","I",2,37.2,20,21,95,NA,NA,264,9.95,46,100,88,150,90,150,"N",139,3.29,108,7,0,2,"Intrathecal treatment",5
+"003-102",48,"M",17.7777777777778,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,13,NA,"Superficial/other","N","I",2,37.6,22,21,97,NA,NA,891,7.72,36.5,92,84,130,90,130,"N",134,4.49,48,4,0,-3,"Sham procedure",2
+"003-103",41,"M",21.875,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,24,"Superficial/other","N","II",1,37.2,21,21,96,NA,NA,304,7.94,45,96,76,150,90,150,"N",140,3.82,80,2,0,-1,"Intrathecal treatment",3
+"003-104",63,"M",23.4375,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,72,"Superficial/other","N","II",1,37.7,24,21,94,NA,NA,241,9.19,49,88,68,130,80,130,"N",138,3.61,87,4,0,-5,"Intrathecal treatment",1
+"003-105",38,"M",17.9981634527089,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,30,288,"Superficial/other","N","II",1,38,24,21,97,NA,NA,293,10.6,37,64,60,120,60,100,"N",136,3.74,75,2,0,-6,"Intrathecal treatment",5
+"003-106",40,"M",22.8928199791883,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,26,21,94,NA,NA,315,7.1,41.8,92,72,130,90,130,"N",140,3.51,82,1,0,-5,"Sham procedure",3
+"003-107",60,"F",18.6666666666667,2,"Y",9,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,48,"Superficial/other","N","II",1,38.4,26,21,93,NA,NA,330,16.2,35,136,104,180,150,180,"N",141,3.34,54,12,0,8,"Sham procedure",2
+"003-108",34,"M",22.038567493113,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,6,24,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,375,9.24,42.6,80,72,130,80,130,"N",136,3.62,81,0,0,0,"Intrathecal treatment",1
+"003-109",41,"M",20.5456936226167,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,219,13.2,38.9,88,80,120,70,120,"N",140,3.67,95,0,0,-5,"Sham procedure",4
+"003-110",57,"M",17.6308539944904,2,"Y",7,4,"N","N","N","N","Y","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,21,120,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,403,8.56,36.2,88,80,150,80,150,"N",132,2.88,37,12,0,1,"Intrathecal treatment",4
+"003-111",48,"M",22.8928199791883,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,28,24,"Superficial/other","N","II",2,37.4,22,21,95,NA,NA,325,11.8,48.8,92,70,140,80,140,"N",144,3.14,72,4,0,5,"Sham procedure",3
+"003-112",34,"M",18.8706633763972,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37.6,15,21,95,NA,NA,194,10.1,41.9,92,64,140,80,140,"N",142,3.53,87,5,0,0,"Intrathecal treatment",1
+"003-113",34,"M",22.4913494809689,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","Y","II",1,37.5,20,21,97,NA,NA,311,12.4,43.3,84,76,140,80,140,"N",132,3.44,85,1,0,6,"Intrathecal treatment",2
+"003-114",52,"M",21.0961905148282,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,NA,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,270,10.6,38.3,94,80,140,80,140,"N",138,3.71,89,2,0,-3,"Intrathecal treatment",3
+"003-115",37,"M",24.092970521542,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,28,72,"Superficial/other","N","II",1,37.2,20,21,98,NA,NA,222,8.15,37,80,56,120,70,120,"N",138,3.4,91,1,0,-5,"Sham procedure",1
+"003-116",32,"M",23.1404958677686,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,6,48,"Superficial/other","N","II",2,37.5,20,21,95,NA,NA,216,10.35,42.6,104,68,140,80,140,"N",139,2.89,65,2,0,1,"Sham procedure",1
+"003-117",29,"M",24.2214532871972,2,"Y",21,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,30,24,"Superficial/other","N","II",1,38.1,35,21,95,120,7.5,183,10.4,44.3,130,96,160,80,160,"N",142,3.31,86,7,0,2,"Sham procedure",2
+"003-118",78,"F",20.8116545265349,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,30,120,"Superficial/other","N","II",2,37.4,24,21,90,NA,NA,250,10.6,47.1,90,76,160,80,160,"N",141,3.88,74,7,0,6,"Intrathecal treatment",2
+"003-119",18,"M",25.3515413737155,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,48,"Superficial/other","N","I",1,37,20,21,96,NA,NA,310,11.4,42,92,88,130,80,130,"N",137,3.13,74,1,0,0,"Sham procedure",4
+"003-120",49,"M",22.265625,1,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,12,92,"Superficial/other","N","II",1,37,20,21,97,NA,NA,356,10.1,42.9,86,64,120,80,120,"N",140,4.2,89,2,0,-5,"Intrathecal treatment",3
+"003-121",36,"M",22.8623685413809,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,25,92,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,294,7.53,42.3,70,70,130,80,130,"N",140,3.44,87,1,0,-5,"Sham procedure",2
+"003-122",32,"M",21.7738423573813,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,167,5.61,37.8,96,84,120,80,120,"N",137,3.75,93,0,0,-2,"Intrathecal treatment",2
+"003-123",37,"M",22.4913494809689,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,24,21,98,NA,NA,525,9.41,41,88,76,140,80,140,"N",136,4.01,82,0,0,-3,"Intrathecal treatment",5
+"003-124",72,"F",22.2222222222222,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",2,37.5,30,21,93,NA,NA,302,11.2,31.8,100,92,160,80,160,"N",141,3.19,60,7,0,7,"Sham procedure",1
+"003-125",40,"M",26.5731292517007,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,NA,"Superficial/other","N","I",1,37.4,24,21,97,NA,NA,360,7.11,42.1,104,88,140,100,140,"N",145,3.3,67,3,0,3,"Intrathecal treatment",3
+"003-126",38,"M",20.2020202020202,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,30,24,"Superficial/other","N","II",1,37.4,20,21,94,NA,NA,155,7.39,42,92,66,110,80,110,"N",132,3.7,74,0,0,0,"Sham procedure",2
+"003-127",53,"M",20.8116545265349,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,24,"Superficial/other","N","II",1,37,24,21,97,NA,NA,244,6.34,41,100,88,140,90,140,"N",134,3.8,64,2,0,-4,"Sham procedure",2
+"003-128",55,"M",20.3125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,48,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,281,10.6,43,108,70,150,90,150,"N",130,4.45,47,7,0,0,"Intrathecal treatment",4
+"003-129",39,"M",17.7832495468691,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,24,"Superficial/other","N","II",2,39,22,21,96,NA,NA,171,6.22,42.7,120,100,140,90,140,"N",133,2.85,50,9,0,8,"Intrathecal treatment",4
+"003-130",55,"M",20.3125,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,96,"Superficial/other","N","I",1,37,20,21,96,NA,NA,287,11.9,42.8,86,72,140,80,140,"N",135,3.59,71,3,0,2,"Sham procedure",4
+"003-131",59,"M",20.9366391184573,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,5,48,"Superficial/other","N","II",2,39,27,21,94,NA,NA,351,11.5,43.4,120,92,150,80,150,"N",136,3.94,69,9,0,10,"Intrathecal treatment",5
+"003-132",23,"M",23.5078053259871,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",1,37,22,21,96,NA,NA,366,13.4,50.3,80,72,120,80,120,"N",138,3.74,103,2,0,0,"Sham procedure",5
+"003-133",73,"F",17.8571428571429,2,"Y",20,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,48,"Superficial/other","N","II",2,37.8,26,21,98,NA,NA,274,7.8,29,120,68,180,80,180,"N",143,3.8,79,12,0,11,"Intrathecal treatment",4
+"003-134",40,"M",22.038567493113,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","I",1,37.6,22,21,97,NA,NA,224,8.94,49,90,68,170,80,170,"N",143,3.89,70,3,0,4,"Sham procedure",4
+"003-135",43,"M",24.2424242424242,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,NA,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,265,9.22,47.3,88,84,120,80,120,"N",140,3.72,83,1,0,-5,"Sham procedure",2
+"003-136",64,"M",19.8412698412698,2,"Y",4,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,96,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,114,7.07,42,80,68,130,80,130,"N",138,3.28,69,9,1,-2,"Intrathecal treatment",5
+"003-137",74,"M",26.0374939913475,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",4,15,72,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,270,9.32,40.7,100,92,130,80,130,"N",140,3.55,61,5,0,3,"Intrathecal treatment",2
+"003-138",39,"M",21.9671201814059,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,399,9.95,44.7,72,52,130,80,130,"N",139,3.49,78,1,0,0,"Sham procedure",2
+"003-139",56,"M",22.2222222222222,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.6,14,21,96,NA,NA,343,8.78,33.7,136,84,258,147,258,"N",141,3.58,65,9,0,11,"Sham procedure",4
+"003-140",58,"M",22.65625,2,"Y",52,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,37.5,26,21,95,NA,NA,308,11,41.2,104,84,110,70,110,"N",144,3.82,78,4,0,4,"Sham procedure",5
+"003-141",44,"M",21.1463199091024,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,37.7,20,21,97,NA,NA,210,8.18,44.4,90,88,120,80,120,"N",137,3.81,83,0,0,-6,"Intrathecal treatment",3
+"003-142",57,"M",18.3654729109275,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N",20,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,333,7.67,42.6,84,66,150,90,150,"N",140,3.68,65,10,0,-2,"Intrathecal treatment",3
+"003-143",64,"M",18.3142559833507,1,"Y",13,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,20,21,95,NA,NA,115,6.29,39.9,88,72,140,90,140,"N",140,3.98,77,3,1,-3,"Intrathecal treatment",2
+"003-144",49,"M",25.9515570934256,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,12,NA,"Superficial/other","N","I",2,37,20,21,95,NA,NA,180,6.17,42.9,76,72,120,80,120,"N",137,3.22,98,3,0,-3,"Sham procedure",2
+"003-145",32,"M",21.3039485766759,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,8,96,"Superficial/other","N","II",1,37.2,22,21,96,NA,NA,275,7.96,39,100,96,140,80,140,"N",139,3.87,85,0,0,-4,"Intrathecal treatment",1
+"003-146",68,"M",21.5138585105239,2,"Y",12,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,NA,168,"Superficial/other","N","II",2,37,20,21,95,NA,NA,377,12.3,36,76,64,120,80,120,"N",137,3.76,119,5,1,-3,"Intrathecal treatment",3
+"003-147",39,"M",22.3081499107674,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,NA,"Superficial/other","N","I",1,37.6,20,21,98,NA,NA,338,11.5,39.4,86,72,120,80,120,"N",138,3.33,78,1,0,-5,"Intrathecal treatment",5
+"003-148",64,"M",31.2394143550755,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","III",1,37,24,21,98,NA,NA,425,13.6,42,106,92,130,80,130,"N",142,3.98,95,3,0,-4,"Sham procedure",3
+"003-149",33,"M",25.390625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,38,20,21,97,NA,NA,214,7.3,41.4,100,92,130,80,130,"N",140,3.6,92,0,0,-6,"Intrathecal treatment",5
+"003-150",39,"M",19.0039083509627,1,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,72,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,309,6.88,42.8,92,76,120,80,120,"N",135,3.81,86,0,0,3,"Intrathecal treatment",1
+"003-151",55,"M",22.77318640955,2,"Y",24,4,NA,"N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,283,6.44,53,96,72,150,100,150,"N",137,3.83,81,7,0,2,"Sham procedure",2
+"003-152",60,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",2,37.5,23,21,96,NA,NA,256,9.13,42.7,84,64,130,90,130,"N",135,3.56,80,3,0,-2,"Sham procedure",4
+"003-153",74,"F",22.2222222222222,2,"Y",57,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,38,24,40,94,NA,NA,294,6.37,37.8,104,72,150,80,150,"N",145,3,70,6,1,13,"Sham procedure",3
+"003-154",75,"M",23.7812128418549,2,"Y",31,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",6,NA,120,"Superficial/other","N","II",3,37.6,20,21,97,NA,NA,411,13.87,38.3,92,68,150,90,150,"N",137,3.84,87,8,0,8,"Sham procedure",5
+"003-155",36,"M",22.2222222222222,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,9,NA,"Superficial/other","N","I",1,37.4,20,21,94,NA,NA,312,10.59,49.6,92,80,120,90,120,"N",139,3.38,80,2,0,0,"Intrathecal treatment",5
+"003-156",44,"M",23.9512265931195,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,259,6.03,37.8,84,64,120,80,120,"N",139,3.42,81,1,0,-5,"Sham procedure",5
+"003-157",46,"M",22.038567493113,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,24,"Superficial/other","N","II",1,37,20,21,96,NA,NA,260,12.8,47.6,100,92,140,90,140,"N",139,3.47,80,4,0,-3,"Intrathecal treatment",4
+"003-158",40,"M",21.875,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,36,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,323,19,48.3,90,70,130,80,130,"N",143,4.02,75,2,0,-5,"Sham procedure",3
+"003-159",42,"M",19.4674012855831,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,3,120,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,246,8.68,38,92,80,130,70,110,"N",134,3.68,75,0,0,-6,"Sham procedure",3
+"003-160",34,"M",18.3654729109275,2,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","I",1,37.4,20,21,96,NA,NA,182,9.05,39.9,82,68,120,80,120,"N",139,3.6,67,0,0,0,"Sham procedure",2
+"003-161",56,"M",13.840830449827,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,7,72,"Superficial/other","N","II",1,38,18,21,95,NA,NA,176,4.51,39.2,104,68,130,80,130,"N",139,3.45,55,4,0,-5,"Intrathecal treatment",2
+"003-162",57,"M",20.307412205455,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,96,"Superficial/other","N","I",1,37.4,18,21,96,NA,NA,274,10.3,44.6,82,72,150,90,150,"N",142,3.53,97,5,0,-1,"Sham procedure",2
+"003-163",54,"M",25.390625,2,"Y",15,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.5,26,40,92,111,7.4,321,7.63,44.5,80,64,160,120,160,"N",134,3.45,96,7,1,2,"Sham procedure",2
+"003-164",53,"M",22.038567493113,1,"Y",36,4,"Y","N","N",NA,NA,"N","N","N",NA,"N","N","N","N","N","N",NA,"Y","N","N","N","Y","N","N",3,4,24,"Superficial/other","N","III",3,39.5,25,40,90,NA,NA,220,20.8,27.3,156,84,190,100,190,"N",141,3.95,698,20,5,14,"Sham procedure",2
+"003-165",36,"M",20.9571711629325,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,278,7.46,41.3,76,68,120,80,120,"N",139,3.37,82,1,0,0,"Intrathecal treatment",3
+"003-166",32,"M",21.484375,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.5,26,21,94,NA,NA,309,7.23,42,54,48,120,80,120,"N",141,3.22,66,5,0,3,"Intrathecal treatment",1
+"003-167",33,"M",24.9770431588613,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,224,9.56,42.9,100,84,150,100,150,"N",136,3.66,109,2,0,-2,"Intrathecal treatment",1
+"003-168",46,"M",21.5138585105239,2,"Y",24,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.4,24,21,97,NA,NA,182,12.05,46.9,110,92,160,100,160,"N",140,4.89,85,7,0,8,"Intrathecal treatment",1
+"003-169",40,"M",24.21875,1,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,272,14.48,45,86,80,160,80,160,"N",136,3.77,64,0,0,7,"Intrathecal treatment",1
+"003-170",36,"M",20.9366391184573,1,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,21,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,329,5.28,40.8,70,44,150,100,150,"N",136,3.35,86,3,0,-2,"Sham procedure",3
+"003-171",48,"M",20.3125,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",NA,"N","N","N","N",2,NA,24,"Superficial/other","N","II",3,37,20,21,96,NA,NA,257,9.17,37.9,96,68,110,80,110,"N",134,3.55,83,2,0,5,"Sham procedure",1
+"003-172",39,"M",16.9370318792578,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37.5,20,21,98,NA,NA,270,14.66,43.9,76,66,130,80,130,"N",141,3.86,74,0,0,-2,"Sham procedure",2
+"003-173",49,"M",20.8116545265349,2,"Y",15,4,NA,NA,"N","N","Y","N","Y","N",NA,"N","N","N","N","N","N",NA,"N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",3,37,24,21,96,NA,NA,401,6.74,40.4,96,80,120,90,120,"N",139,5.14,62,2,0,-1,"Sham procedure",3
+"003-174",24,"M",21.3382106386222,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","II",2,37.3,24,21,95,NA,NA,310,17.22,41.9,98,76,120,90,120,"N",137,3.51,94,1,0,3,"Intrathecal treatment",4
+"003-175",40,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,20,21,97,NA,NA,233,7.96,42.8,64,48,140,90,140,"N",143,3.33,63,3,0,-3,"Sham procedure",4
+"003-176",37,"M",23.8751147842057,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","III",1,38,24,30,95,143,7.442,295,8.63,42.9,104,72,140,90,140,"N",141,4.37,89,0,0,-2,"Intrathecal treatment",3
+"003-177",48,"M",20.8116545265349,2,"Y",32,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","Y","III",2,37.4,24,21,94,NA,NA,278,17.1,42.9,96,88,140,80,140,"N",139,5,137,5,1,9,"Intrathecal treatment",4
+"003-178",43,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,331,10.03,44.6,96,76,140,100,140,"N",138,3.7,85,2,0,5,"Intrathecal treatment",2
+"003-179",26,"M",18.3391003460208,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",1,37.5,20,21,98,NA,NA,274,8.16,41.8,74,52,100,70,100,"N",134,4.17,71,0,0,-5,"Sham procedure",3
+"003-180",50,"M",23.4375,2,"Y",4,2,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,38,24,21,96,NA,NA,256,9.07,44,110,96,140,80,140,"N",146,3.21,88,5,0,1,"Intrathecal treatment",4
+"003-181",34,"M",20.8209399167162,2,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",2,37,20,21,98,NA,NA,441,12.88,42,92,86,140,90,140,"N",132,3.61,75,0,0,5,"Intrathecal treatment",3
+"003-182",63,"M",20.5693296602388,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,24,"Superficial/other","Y","III",1,37.6,24,30,97,89,7.534,357,5.1,29.4,88,76,130,80,130,"N",137,2.63,56,8,0,-1,"Intrathecal treatment",4
+"003-183",26,"M",17.3010380622837,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,187,8.68,44.6,72,68,120,80,120,"N",142,3.68,66,0,0,-5,"Sham procedure",5
+"003-184",51,"M",20.3244382551093,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,225,8.87,43.2,92,72,120,80,120,"N",138,3.5,93,2,0,0,"Intrathecal treatment",1
+"003-185",62,"M",19.0039083509627,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N",3,10,NA,"Superficial/other","N","I",3,37.4,20,21,96,NA,NA,146,64.1,37.6,88,72,140,80,140,"N",137,3.78,61,7,1,2,"Intrathecal treatment",5
+"003-186",62,"F",18.8775510204082,1,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,39,20,30,99,129,7.617,250,7.3,38,96,72,110,70,110,"N",144,3.86,60,9,0,-2,"Sham procedure",4
+"003-187",43,"M",17.89802289282,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,17,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,122,4.04,35.5,96,88,130,80,130,"N",138,3.14,54,1,1,-2,"Sham procedure",5
+"003-188",29,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",6,3,72,"Superficial/other","N","II",1,37,20,21,95,NA,NA,380,8.03,39,88,60,150,70,150,"N",137,3.92,69,5,0,-2,"Sham procedure",1
+"003-189",57,"M",20.2847985719502,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37,22,21,98,NA,NA,294,6.25,41,104,52,140,90,140,"N",138,3.6,79,3,0,-2,"Sham procedure",1
+"003-190",64,"M",20.0796012764889,2,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",2,37.3,20,21,97,NA,NA,230,7.85,42.9,72,68,120,80,120,"N",139,3.8,88,3,0,-3,"Sham procedure",1
+"003-191",65,"M",16.6530612244898,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,197,7.23,48.6,116,88,120,90,120,"N",139,3.4,63,14,0,5,"Intrathecal treatment",2
+"003-192",30,"M",17.5770686857761,1,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N",2,5,24,"Superficial/other","N","II",2,38.5,24,30,97,98,7.474,370,12.2,40.7,148,100,160,110,160,"N",140,3.2,76,7,0,11,"Intrathecal treatment",2
+"003-193",47,"M",20.2020202020202,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.4,20,21,95,NA,NA,173,7.02,46.1,80,72,130,80,130,"N",138,3.81,64,3,0,-3,"Sham procedure",4
+"003-194",57,"M",22.038567493113,2,"Y",7,4,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",9,6,96,"Superficial/other","N","II",2,37,20,21,98,NA,NA,227,6.29,45.1,80,60,140,100,140,"N",134,3.9,63,10,0,-1,"Sham procedure",1
+"003-195",45,"M",17.3061224489796,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,30,48,"Superficial/other","N","II",2,37.4,23,21,96,NA,NA,327,7.32,37.6,98,80,140,90,140,"N",140,3.27,67,8,0,0,"Intrathecal treatment",2
+"003-196",41,"M",26.171875,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,10,NA,"Superficial/other","N","I",2,37.1,22,21,96,NA,NA,373,5.86,42.2,86,80,140,90,140,"N",140,3.96,94,5,0,0,"Intrathecal treatment",1
+"003-197",60,"M",18.8271110398974,2,"Y",16,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,261,9.67,43,132,88,200,100,200,"N",141,4.03,89,8,0,6,"Sham procedure",3
+"003-198",54,"M",18.7304890738814,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","Y","III",1,39,30,40,98,127,7.415,401,11.5,32.9,142,88,140,80,140,"N",139,3.37,45,12,1,9,"Intrathecal treatment",3
+"003-199",50,"M",19.9432125473229,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,274,8.92,40.7,72,48,120,80,120,"N",145,3.99,81,2,0,-5,"Intrathecal treatment",1
+"003-200",43,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,285,6.73,42.9,72,60,120,80,120,"N",136,3.87,69,0,0,-6,"Sham procedure",4
+"003-201",42,"M",17.4747174301011,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","II",1,37,20,21,99,NA,NA,325,15.5,43,88,84,120,70,120,"N",142,3.68,62,1,0,0,"Sham procedure",3
+"003-202",56,"M",23.8751147842057,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,38.6,24,30,96,NA,NA,289,14.9,46,96,88,130,90,130,"N",140,3.83,88,10,0,0,"Intrathecal treatment",5
+"003-203",35,"M",26.9274376417234,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N",2,2,24,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,218,10.9,43.2,88,74,130,90,130,"N",143,3.72,84,0,0,5,"Intrathecal treatment",2
+"003-204",67,"M",28.2828282828283,2,"Y",36,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",3,37.6,30,21,95,NA,NA,290,8.94,42.8,102,82,160,100,160,"N",134,3.71,74,8,0,10,"Sham procedure",4
+"003-205",46,"M",24.609375,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,NA,240,"Superficial/other","N","II",1,37,22,21,95,NA,NA,226,8.7,40.2,72,56,140,80,140,"N",134,3.85,75,2,0,-4,"Sham procedure",2
+"003-206",19,"M",23.1404958677686,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,210,9.05,42,84,68,120,70,120,"N",141,3.89,91,0,0,-5,"Intrathecal treatment",2
+"003-207",53,"M",16.8962350780533,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,401,9.43,38,72,68,100,60,100,"N",141,3.78,72,2,0,0,"Sham procedure",1
+"003-208",54,"M",23.566632231405,1,"Y",65,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,6,48,"Superficial/other","N","III",2,39.4,32,40,90,NA,NA,287,6.38,42.1,112,70,160,80,160,"N",140,3.19,58,9,1,15,"Sham procedure",1
+"003-209",19,"M",22.6799524092802,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37.5,22,21,98,NA,NA,386,8.19,46.3,92,52,130,80,130,"N",140,3.3,69,2,0,-5,"Intrathecal treatment",3
+"003-210",37,"M",21.2305720237141,1,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,30,99,144,7.48,248,11.4,43.2,104,80,120,80,120,"N",139,3.65,82,0,0,1,"Intrathecal treatment",5
+"003-211",56,"M",25.3443526170799,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,174,5.29,40.8,70,52,120,80,120,"N",138,4.48,81,3,0,-5,"Sham procedure",5
+"003-212",69,"F",22.2222222222222,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,96,"Superficial/other","N","II",1,39,22,21,96,NA,NA,197,8.28,40.5,88,68,140,80,140,"N",142,3.71,74,8,0,0,"Intrathecal treatment",1
+"003-213",48,"M",22.65625,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.5,20,21,94,NA,NA,344,6.74,43.9,96,84,140,90,140,"N",142,3.7,66,2,0,2,"Intrathecal treatment",4
+"003-214",42,"M",22.4913494809689,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,96,"Superficial/other","N","I",1,37.4,20,21,97,NA,NA,217,8.67,41.6,80,68,100,60,100,"N",141,3.6,87,0,0,0,"Sham procedure",2
+"003-215",27,"M",21.2585034013605,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,246,10.2,40,84,72,120,80,120,"N",136,3.65,65,0,0,-5,"Sham procedure",3
+"003-216",39,"M",19.2233756247597,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",3,37.4,20,21,97,NA,NA,187,10.8,38.5,80,76,120,80,120,"N",143,3.26,111,1,1,-1,"Intrathecal treatment",3
+"003-217",26,"M",18.4425458240807,1,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","III",2,39.5,19,30,92,NA,NA,313,8.8,44.4,116,76,120,80,120,"N",137,3.58,88,5,0,5,"Sham procedure",2
+"003-218",42,"M",31.1418685121107,2,"Y",6,2,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",1,9,24,"Superficial/other","N","II",2,38.5,22,21,97,NA,NA,335,9.71,43.2,100,88,140,80,140,"N",145,3.67,86,6,0,5,"Intrathecal treatment",5
+"003-219",46,"M",24.21875,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",1,37,20,21,96,NA,NA,292,7.46,46,88,84,140,90,140,"N",140,3.71,63,3,0,-3,"Intrathecal treatment",4
+"003-220",49,"M",23.2334561768947,1,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37,18,21,97,NA,NA,180,7.39,41.1,92,90,110,60,100,"N",139,3.36,73,3,0,-2,"Sham procedure",1
+"003-221",41,"M",18.1312194299207,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,12,"Superficial/other","N","II",1,37.4,26,21,95,NA,NA,339,6.97,42.8,100,88,130,80,130,"N",137,3.95,59,1,0,0,"Intrathecal treatment",4
+"003-222",68,"F",20,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","III",1,37.6,30,40,80,170,7.492,368,11,40.4,96,80,140,80,140,"N",138,3.07,68,7,2,-3,"Sham procedure",3
+"003-223",55,"M",20.3125,2,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,8,48,"Superficial/other","N","II",3,38.4,20,21,98,NA,NA,637,11.7,30.2,94,86,140,90,140,"N",139,3.81,62,8,0,7,"Sham procedure",5
+"003-224",37,"M",19.8176773682124,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,288,8.93,40.4,88,70,130,90,130,"N",142,3.56,63,0,0,-5,"Intrathecal treatment",5
+"003-225",52,"M",20.8116545265349,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,15,96,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,263,8.69,44,96,72,120,80,120,"N",143,3.6,86,2,0,-5,"Sham procedure",4
+"003-226",65,"F",21.3333333333333,2,"Y",11,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,8,48,"Superficial/other","N","II",2,37.4,16,21,94,NA,NA,364,6.43,35,84,76,130,80,130,"N",134,3.92,42,7,0,-2,"Sham procedure",5
+"003-227",47,"M",23.828125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","N","II",1,37.6,22,21,95,NA,NA,328,8.18,40.2,80,68,130,70,130,"N",141,3.3,74,3,0,0,"Intrathecal treatment",1
+"003-228",52,"M",27.0551508844953,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.6,24,21,97,NA,NA,352,9.01,37.7,96,80,120,80,120,"N",145,3.44,87,3,0,0,"Intrathecal treatment",5
+"003-229",66,"M",17.0655567117586,1,"Y",10,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",2,38,22,21,96,NA,NA,217,7.91,37.4,100,80,140,80,140,"N",144,3.15,78,6,0,0,"Sham procedure",4
+"003-230",53,"M",20.8116545265349,2,"Y",46,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","III",2,37.4,24,30,95,NA,NA,279,19.8,41,90,76,140,80,140,"N",137,3.89,68,3,0,5,"Sham procedure",5
+"003-231",52,"M",26.953125,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,5,96,"Superficial/other","N","II",2,37,20,21,95,NA,NA,283,13.5,41.3,104,100,150,100,150,"N",135,3.51,81,4,0,2,"Intrathecal treatment",5
+"003-232",48,"M",21.484375,2,"Y",57,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,72,"Superficial/other","N","II",2,38.5,26,30,95,80,7.43,228,11,41.2,128,124,150,90,150,"N",139,4.16,70,8,0,4,"Sham procedure",5
+"003-233",49,"M",19.7210369679802,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","II",2,38,20,30,93,98,7.321,271,9.95,42.3,132,84,170,92,170,"N",139,4.35,77,8,0,6,"Sham procedure",3
+"003-234",43,"M",21.875,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,332,21.3,40,96,84,160,100,160,"N",132,3.66,107,4,0,7,"Intrathecal treatment",4
+"003-235",38,"M",25.390625,2,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,37,20,21,97,NA,NA,313,12.2,37.8,88,68,150,100,150,"N",141,4.1,136,4,1,7,"Intrathecal treatment",5
+"003-236",29,"M",19.1000918273646,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,120,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,203,5.65,42.8,84,64,120,70,120,"N",143,3.68,77,0,0,-6,"Intrathecal treatment",5
+"003-237",59,"M",13.5904499540863,1,"Y",24,4,"N","N","N",NA,"N","N","Y","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","N",4,NA,24,"Superficial/other","N","II",3,38,26,33,98,123,7.351,220,17.2,41.5,124,92,180,40,70,"N",150,3.32,218,15,4,8,"Sham procedure",4
+"003-238",48,"M",34.765625,2,"Y",31,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",2,37,20,21,96,NA,NA,274,5.83,51.8,88,64,130,80,130,"N",144,4.32,96,4,0,-2,"Sham procedure",4
+"003-239",35,"M",21.2278876170656,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,23,144,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,246,6.57,42.6,72,62,120,80,120,"N",139,3.93,68,0,0,-6,"Intrathecal treatment",3
+"003-240",39,"M",27.34375,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,48,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,184,6.83,44.3,100,88,120,60,120,"N",136,3.39,88,1,0,-3,"Intrathecal treatment",3
+"003-241",19,"M",18.491124260355,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,16,24,"Superficial/other","N","II",1,37.4,26,21,98,NA,NA,380,16.8,47.9,86,74,130,90,130,"N",140,3.27,74,4,0,-5,"Intrathecal treatment",4
+"003-242",42,"M",20.2812330989724,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,9,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,188,14.4,40.1,96,72,100,60,100,"N",139,2.9,71,2,0,-6,"Intrathecal treatment",1
+"003-243",61,"M",19.921875,2,"Y",5,4,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,NA,288,"Superficial/other","N","II",1,37,20,21,95,NA,NA,315,6.67,40.4,96,72,150,90,150,"N",136,4.32,88,5,0,-2,"Sham procedure",4
+"003-244",53,"F",21.875,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,39,24,30,95,112,7.46,354,10.9,37.2,98,84,160,90,160,"N",138,4,60,7,0,11,"Intrathecal treatment",2
+"003-245",38,"M",25,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,9,168,"Superficial/other","N","II",2,38,22,21,98,NA,NA,205,7.09,38,100,68,130,80,130,"N",141,3.05,66,1,0,-3,"Intrathecal treatment",2
+"003-246",57,"M",19.4674012855831,1,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.6,24,30,97,NA,NA,347,10.9,47.9,92,76,160,100,160,"N",134,4.3,75,6,0,4,"Sham procedure",4
+"003-247",56,"F",22.8928199791883,2,"Y",11,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,3,48,"Superficial/other","N","II",2,37.5,21,21,97,NA,NA,281,6.02,43.4,72,64,160,100,160,"N",134,4.33,51,7,0,2,"Sham procedure",1
+"003-248",62,"M",17.0205141986921,1,"Y",37,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,326,9.82,46.4,74,68,120,80,120,"N",134,4.26,58,4,0,3,"Sham procedure",1
+"003-249",36,"M",22.5981404958678,2,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,308,9.1,44.8,116,110,140,90,140,"N",139,3.6,80,2,0,4,"Sham procedure",2
+"003-250",46,"M",20.2020202020202,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,120,"Superficial/other","N","III",1,38.4,22,40,88,130,7.48,252,8.67,36.7,96,76,140,80,140,"N",142,3.1,62,3,2,-4,"Intrathecal treatment",4
+"003-251",30,"M",22.265625,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,224,10.4,46.8,86,60,110,70,110,"N",137,3.48,63,2,0,-2,"Sham procedure",5
+"003-252",42,"M",23.1833910034602,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",2,37.7,20,35,88,108,7.38,246,7.45,49.9,140,84,150,100,150,"N",136,4.25,74,6,1,11,"Intrathecal treatment",3
+"003-253",49,"M",21.8299521999323,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,265,10.1,45.14,124,75,160,90,160,"N",139,3.76,84,7,0,5,"Intrathecal treatment",1
+"003-255",42,"M",17.0068027210884,2,"Y",3,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,37.5,20,21,96,NA,NA,205,11.2,46.4,88,78,120,80,120,"N",135,4.04,78,2,0,3,"Sham procedure",3
+"003-256",48,"M",19.53125,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N",NA,"N","Y","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,315,7.82,39.4,92,86,130,90,130,"N",133,3.8,75,4,0,2,"Intrathecal treatment",3
+"003-257",59,"F",17.89802289282,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",1,38,22,30,96,150,7.51,335,6.56,34.4,74,64,140,80,140,"N",134,3.6,57,1,0,-6,"Intrathecal treatment",2
+"003-258",34,"M",19.53125,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,5,72,"Superficial/other","N","II",1,37.7,22,21,95,NA,NA,317,11.8,47.2,84,72,120,80,120,"N",140,3.82,72,2,0,2,"Sham procedure",4
+"003-259",41,"M",20.2020202020202,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,21,96,NA,NA,231,10.9,47.2,86,70,140,80,140,"N",143,3.42,83,0,0,-5,"Sham procedure",1
+"003-260",23,"M",22.4913494809689,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,72,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,257,13.3,42.4,76,60,110,70,110,"N",139,3.66,78,2,0,-3,"Intrathecal treatment",3
+"003-261",48,"M",20.9366391184573,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",21,NA,408,"Superficial/other","N","II",2,37,20,21,97,NA,NA,210,6.42,41.4,92,84,110,60,100,"N",137,3.76,78,5,0,7,"Sham procedure",5
+"003-262",46,"M",21.3039485766759,1,"Y",49,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.3,22,30,94,68,7.45,179,8.85,44.6,88,72,200,120,200,"N",141,3.87,69,8,1,4,"Intrathecal treatment",5
+"003-263",51,"M",16.796875,2,"Y",34,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Superficial/other","N","II",2,37.6,26,30,98,107,7.32,456,15.5,40.7,108,88,100,50,80,"N",144,3.87,NA,3,0,4,"Sham procedure",5
+"003-264",57,"M",20.1955782312925,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,38,22,30,96,103,7.33,183,8.05,40,96,88,150,80,150,"N",144,3.64,77,0,0,-3,"Intrathecal treatment",2
+"003-265",28,"M",19.4330132601738,2,"Y",17,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,48,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,247,7,42.9,88,72,130,80,130,"N",138,3.6,77,8,0,4,"Intrathecal treatment",5
+"003-266",67,"M",24.092970521542,2,"Y",13,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",3,37,20,21,98,NA,NA,232,7.71,40.3,90,74,190,105,190,"N",137,3.7,56,6,0,-2,"Sham procedure",5
+"003-267",43,"M",16.796875,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,21,24,"Superficial/other","N","II",2,37,18,21,96,NA,NA,317,8.22,37.2,96,72,120,70,110,"N",140,3.21,57,8,0,3,"Intrathecal treatment",1
+"003-268",59,"M",17.2635445362718,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,72,"Superficial/other","N","II",2,37,22,21,96,NA,NA,398,8.5,37.6,82,68,120,80,120,"N",135,3.7,88,8,1,8,"Sham procedure",5
+"003-269",42,"M",23.6244474927602,2,"Y",NA,3,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,12,"Superficial/other","N","II",2,37.4,20,40,92,79,7.24,303,9.58,47.3,110,92,160,90,160,"N",140,4.15,77,5,0,3,"Sham procedure",1
+"003-270",57,"M",19.53125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","Y","II",1,37,20,21,95,NA,NA,350,8.97,40.1,76,60,160,100,160,"N",141,3.58,67,15,1,4,"Sham procedure",2
+"003-271",66,"F",26.171875,2,"Y",18,2,"Y","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,313,19.1,33.1,100,92,180,100,180,"N",128,4,118,5,0,1,"Intrathecal treatment",1
+"003-272",23,"M",22.1002895900015,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,21,48,"Superficial/other","N","II",1,38.2,20,30,99,144,7.46,305,11.6,44.9,120,76,140,100,140,"N",143,3.2,108,NA,NA,NA,"Intrathecal treatment",1
diff --git a/inst/extdata/group_data.csv b/inst/extdata/group_data.csv
new file mode 100644
index 0000000..41de05b
--- /dev/null
+++ b/inst/extdata/group_data.csv
@@ -0,0 +1,89 @@
+ctcaename,class
+Nausea,Digestive
+Back pain,Musculoskeletal
+Viral infection,Infectious
+Headache,Neurological
+Phlebitis,Cardiovascular
+Gastritis,Digestive
+Constipation,Digestive
+Hemorrhoids,Digestive
+Skin allergy,Allergic
+Pharyngitis,Respiratory
+Hospital acquired pneumonia,Infectious
+UTI,Infectious
+Fever,General
+Neuralgia,Neurological
+Hiccup,Digestive
+Myocardial ischaemia,Cardiovascular
+Oral infection,Infectious
+Upper gastrointestinal hemorrhage,Digestive
+Otitis,Infectious
+Atrial thrombosis,Cardiovascular
+Spinal disc herniation,Musculoskeletal
+Sinusitis,Respiratory
+Facial nerve disorder,Neurological
+Urinary retention,Urinary
+Hyperglycaemia,Metabolic
+Chills,General
+Arthritis,Musculoskeletal
+Aspiration pneumonia,Respiratory
+Ventilator associated pneumonia,Respiratory
+arthralgia,Musculoskeletal
+Tracheal hemorrhage,Respiratory
+Hypotension,Cardiovascular
+Nose bleed,Respiratory
+Wound infection,Infectious
+Allergy,Allergic
+Hyponatremia,Metabolic
+Cellulitis,Infectious
+Blood stream infection,Infectious
+Hypokalemia,Metabolic
+Hypocalcemia,Metabolic
+Torticolis,Musculoskeletal
+Myocarditis,Cardiovascular
+Insomnia,Neurological
+Conjunctivitis,Infectious
+Cardiac arrest,Cardiovascular
+Voice alteration,Neurological
+Necrotic wound,Infectious
+Hypomagnesemia,Metabolic
+Hematuria,Urinary
+Subcutaneous emphysema,Respiratory
+Heat stroke,General
+Atrial fibrillation,Cardiovascular
+Dizziness,Neurological
+Failed extubation,Respiratory
+Appendicitis,Digestive
+Deep vein thrombosis,Cardiovascular
+Acute renal failure,Urinary
+Wound bleed,Digestive
+Arthralgia,Musculoskeletal
+Anemia,Hematologic
+Bruising,Hematologic
+Pressure ulcer,Skin
+Tracheal stenosis,Respiratory
+Upper respiratory infection,Respiratory
+Recurrent tetanus,Neurological
+Gastrointestinal disorder,Digestive
+Chronic venous insufficiency,Cardiovascular
+Pneumothorax,Respiratory
+Hyperpyrexia,General
+Arterial thromboembolism,Cardiovascular
+Hypernatremia,Metabolic
+Creatinine increase,Metabolic
+Hypertension,Cardiovascular
+Dysphagia,Digestive
+Cerebral hemorrhage,Neurological
+Cholangitis,Digestive
+Pleural abscess,Respiratory
+Pyloric stenosis,Cardiovascular
+Sinus bradycardia,Cardiovascular
+Pruritus,Allergic
+Myalgia,Musculoskeletal
+Adrenal insufficiency,Endocrine
+Rhabdomyolysis,Musculoskeletal
+Platelet count decreased,Hematologic
+"Low weight, muscle wasting",General
+Postoperative hemorrhage,Cardiovascular
+Hypoalbuminemia,Metabolic
+Cerebral infarction,Neurological

From 26859a8d1a339c68399dcba52a8b881a40555e90 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 1 Jul 2024 15:42:59 +0700
Subject: [PATCH 111/193] update data

---
 ae_data.csv       | 535 ++++++++++++++++++++++++++++++++++++++++++++++
 baseline_data.csv | 272 +++++++++++++++++++++++
 group_data.csv    |  89 ++++++++
 3 files changed, 896 insertions(+)
 create mode 100644 ae_data.csv
 create mode 100644 baseline_data.csv
 create mode 100644 group_data.csv

diff --git a/ae_data.csv b/ae_data.csv
new file mode 100644
index 0000000..24f1471
--- /dev/null
+++ b/ae_data.csv
@@ -0,0 +1,535 @@
+"usubjid","ctcaename","ctcaegrade","original_ctcaegrade","posrelunrel","unexp"
+"003-001","Nausea","I","I","POSREL","N"
+"003-003","Back pain","I","I","POSREL","N"
+"003-004","Viral infection","I","NA","UNREL","Y"
+"003-006","Headache","I","I","POSREL","N"
+"003-007","Phlebitis","I","I","UNREL","N"
+"003-029","Gastritis","II","II","UNREL","Y"
+"003-034","Constipation","II","II","UNREL","N"
+"003-035","Constipation","II","II","UNREL","N"
+"003-044","Gastritis","II","NA","UNREL","Y"
+"003-073","Hemorrhoids","I","I","UNREL","N"
+"003-087","Skin allergy","II","NA","REL","N"
+"003-095","Phlebitis","I","I","UNREL","N"
+"003-105","pharyngitis","II","II","UNREL","Y"
+"003-109","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-122","Headache","I","I","POSREL","N"
+"003-135","Phlebitis","I","I","UNREL","N"
+"003-141","Headache","I","I","POSREL","N"
+"003-144","UTI","II","NA","UNREL","N"
+"003-150","Headache","I","I","POSREL","N"
+"003-167","Headache","I","I","POSREL","N"
+"003-184","Hemorrhoids","I","I","UNREL","N"
+"003-242","Fever","I","I","POSREL","N"
+"003-244","Fever","I","I","POSREL","N"
+"003-261","Skin allergy","II","NA","POSREL","N"
+"003-265","Constipation","II","II","UNREL","N"
+"003-004","Neuralgia","II","II","UNREL","Y"
+"003-006","Hiccup","II","II","UNREL","Y"
+"003-007","Constipation","II","II","UNREL","N"
+"003-014","Skin allergy","II","NA","POSREL","N"
+"003-015","Constipation","II","II","UNREL","N"
+"003-023","Constipation","II","II","UNREL","N"
+"003-027","Myocardial ischaemia","II","NA","UNREL","Y"
+"003-036","UTI","II","NA","UNREL","N"
+"003-037","Oral infection","II","NA","UNREL","Y"
+"003-072","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-074","Skin allergy","II","NA","POSREL","N"
+"003-076","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-081","Otitis","II","NA","UNREL","Y"
+"003-084","UTI","II","NA","UNREL","N"
+"003-094","Headache","I","I","REL","N"
+"003-101","UTI","II","NA","UNREL","N"
+"003-103","UTI","II","NA","UNREL","N"
+"003-111","UTI","II","NA","UNREL","N"
+"003-118","Atrial thrombosis","II","NA","POSREL","N"
+"003-136","Spinal disc herniation","NA","NA","UNREL","Y"
+"003-141","Fever","I","I","POSREL","N"
+"003-159","Phlebitis","I","I","UNREL","N"
+"003-212","Fever","I","I","POSREL","N"
+"003-242","Headache","I","I","POSREL","N"
+"003-255","Sinusitis","II","II","UNREL","Y"
+"003-258","Oral infection","II","NA","UNREL","Y"
+"003-261","facial nerve disorder","II","II","UNREL","N"
+"003-007","Constipation","II","II","UNREL","N"
+"003-009","Urinary retention","II","II","UNREL","N"
+"003-027","UTI","II","NA","UNREL","N"
+"003-036","Constipation","II","II","UNREL","N"
+"003-038","Upper gastrointestinal hemorrhage","II","II","UNREL","Y"
+"003-046","Phlebitis","I","I","UNREL","N"
+"003-074","Hyperglycaemia","II","II","UNREL","N"
+"003-081","Constipation","II","II","UNREL","N"
+"003-094","Chills","I","I","REL","N"
+"003-101","Arthritis","II","II","UNREL","Y"
+"003-104","Skin allergy","II","NA","POSREL","N"
+"003-127","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-146","Aspiration pneumonia","II","NA","UNREL","N"
+"003-173","UTI","II","NA","UNREL","N"
+"003-255","Viral infection","II","NA","UNREL","Y"
+"003-258","Constipation","II","II","UNREL","N"
+"003-267","Skin allergy","II","NA","POSREL","N"
+"003-001","Constipation","II","II","UNREL","N"
+"003-005","UTI","II","NA","UNREL","N"
+"003-007","Arthritis","II","II","UNREL","Y"
+"003-017","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-019","Arthralgia","II","II","UNREL","Y"
+"003-028","Tracheal hemorrhage","II","II","UNREL","N"
+"003-038","UTI","II","NA","UNREL","N"
+"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-053","Hypotension","III","III","UNREL","N"
+"003-065","Nose bleed","II","NA","UNREL","N"
+"003-067","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-090","Wound infection","II","II","UNREL","N"
+"003-094","Fever","I","I","REL","N"
+"003-116","UTI","II","NA","UNREL","N"
+"003-117","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-123","Allergy","II","NA","POSREL","N"
+"003-127","UTI","II","NA","UNREL","N"
+"003-131","Hyponatremia","II","II","UNREL","N"
+"003-146","Cellulitis","I","I","UNREL","N"
+"003-164","Aspiration pneumonia","II","NA","UNREL","N"
+"003-168","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-172","Hyponatremia","II","II","UNREL","N"
+"003-173","Blood stream infection","II","NA","UNREL","N"
+"003-174","Otitis","II","NA","UNREL","Y"
+"003-176","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-177","Nose bleed","II","NA","UNREL","N"
+"003-178","Hypokalemia","II","II","UNREL","N"
+"003-179","Hypocalcemia","III","III","UNREL","N"
+"003-180","Hypokalemia","II","II","UNREL","N"
+"003-197","Skin allergy","II","NA","POSREL","N"
+"003-199","Torticolis","II","NA","UNREL","Y"
+"003-201","Hypokalemia","III","III","UNREL","N"
+"003-210","Tracheal hemorrhage","II","II","UNREL","N"
+"003-223","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-228","Hospital acquired pneumonia","II","NA","UNREL","N"
+"003-230","Myocarditis","II","NA","UNREL","Y"
+"003-247","UTI","II","NA","UNREL","N"
+"003-253","Hypokalemia","II","II","UNREL","N"
+"003-255","Constipation","II","II","UNREL","N"
+"003-264","Hypokalemia","II","II","UNREL","N"
+"003-267","Gastritis","II","NA","UNREL","Y"
+"003-001","Insomnia","II","II","UNREL","Y"
+"003-005","Myocardial ischaemia","II","NA","UNREL","Y"
+"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-024","Arthritis","II","II","UNREL","Y"
+"003-028","Constipation","II","II","UNREL","N"
+"003-031","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-032","Constipation","II","II","UNREL","N"
+"003-037","UTI","II","NA","UNREL","N"
+"003-040","Conjunctivitis","II","II","UNREL","N"
+"003-042","Tracheal hemorrhage","II","II","UNREL","N"
+"003-043","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-047","UTI","II","NA","UNREL","N"
+"003-048","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-053","Aspiration pneumonia","II","NA","UNREL","N"
+"003-056","Cardiac arrest","IV","IV","UNREL","N"
+"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-082","UTI","II","NA","UNREL","N"
+"003-083","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-090","Phlebitis","I","I","UNREL","N"
+"003-091","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-092","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-096","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-098","Tracheal hemorrhage","I","I","UNREL","Y"
+"003-099","UTI","II","NA","UNREL","N"
+"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-115","UTI","II","NA","UNREL","N"
+"003-116","Skin allergy","II","NA","POSREL","N"
+"003-119","Voice alteration","I","I","UNREL","N"
+"003-131","Hypokalemia","II","II","UNREL","N"
+"003-133","UTI","II","NA","UNREL","N"
+"003-137","UTI","II","NA","UNREL","N"
+"003-139","Blood stream infection","II","NA","UNREL","N"
+"003-146","Arthritis","II","II","UNREL","Y"
+"003-152","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-153","Cardiac arrest","IV","IV","UNREL","N"
+"003-154","UTI","II","NA","UNREL","N"
+"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-163","Constipation","II","II","UNREL","N"
+"003-171","Hypokalemia","II","II","UNREL","N"
+"003-172","Hypokalemia","II","II","UNREL","N"
+"003-173","Hypokalemia","II","II","UNREL","N"
+"003-174","Hyponatremia","II","II","UNREL","N"
+"003-176","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-178","Necrotic wound","II","NA","UNREL","N"
+"003-180","Hypomagnesemia","I","I","UNREL","N"
+"003-186","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-187","Hypokalemia","II","II","UNREL","N"
+"003-191","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-192","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-201","Hypocalcemia","III","III","UNREL","N"
+"003-202","UTI","II","NA","UNREL","N"
+"003-203","Headache","I","I","POSREL","N"
+"003-210","Hypokalemia","II","II","UNREL","N"
+"003-213","Hypokalemia","II","II","UNREL","N"
+"003-214","Hypokalemia","II","II","UNREL","N"
+"003-217","Hypokalemia","II","II","UNREL","N"
+"003-218","Tracheal hemorrhage","I","I","UNREL","N"
+"003-221","Hypokalemia","II","II","UNREL","N"
+"003-222","Hypokalemia","II","II","UNREL","N"
+"003-227","Hypokalemia","II","II","UNREL","N"
+"003-228","Hypokalemia","II","II","UNREL","N"
+"003-229","Hypocalcemia","III","III","UNREL","N"
+"003-232","Hypokalemia","III","III","UNREL","N"
+"003-233","Hypocalcemia","II","II","UNREL","N"
+"003-238","Hypokalemia","II","II","UNREL","N"
+"003-247","Constipation","II","II","UNREL","N"
+"003-249","Hematuria","II","II","UNREL","Y"
+"003-250","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-252","Hypokalemia","II","II","UNREL","N"
+"003-259","Subcutaneous emphysema","I","I","UNREL","N"
+"003-263","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-264","Hypocalcemia","III","III","UNREL","N"
+"003-268","Hypokalemia","II","II","UNREL","N"
+"003-269","Heat stroke","NA","NA","UNREL","N"
+"003-270","Hypokalemia","II","II","UNREL","N"
+"003-272","Hypomagnesemia","I","I","UNREL","N"
+"003-001","UTI","II","NA","UNREL","N"
+"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-013","Skin allergy","I","NA","POSREL","N"
+"003-018","UTI","II","NA","UNREL","N"
+"003-021","Constipation","II","II","UNREL","N"
+"003-024","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Myocardial ischaemia","IV","NA","UNREL","N"
+"003-026","Atrial fibrillation","II","II","UNREL","Y"
+"003-027","Constipation","II","II","UNREL","N"
+"003-028","Dizziness","II","II","UNREL","Y"
+"003-032","Tracheal hemorrhage","II","II","UNREL","N"
+"003-040","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-050","Failed extubation","NA","NA","UNREL","Y"
+"003-061","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-062","Blood stream infection","II","NA","UNREL","N"
+"003-063","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-068","Blood stream infection","II","NA","UNREL","N"
+"003-072","Appendicitis","III","III","UNREL","N"
+"003-077","UTI","II","NA","UNREL","N"
+"003-079","UTI","II","NA","UNREL","Y"
+"003-082","Constipation","II","II","UNREL","N"
+"003-083","UTI","II","NA","UNREL","N"
+"003-090","Conjunctivitis","II","II","UNREL","N"
+"003-091","Tracheal hemorrhage","II","II","UNREL","N"
+"003-092","Deep vein thrombosis","II","NA","POSREL","N"
+"003-098","Nose bleed","II","II","UNREL","Y"
+"003-107","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-115","Voice alteration","I","I","UNREL","N"
+"003-116","Voice alteration","I","I","UNREL","N"
+"003-128","Hemorrhoids","II","II","UNREL","N"
+"003-146","Arthritis","II","II","UNREL","N"
+"003-148","Blood stream infection","II","NA","UNREL","N"
+"003-152","Atrial fibrillation","II","II","UNREL","Y"
+"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-157","Blood stream infection","II","NA","UNREL","N"
+"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-164","Hypokalemia","II","II","UNREL","N"
+"003-168","Blood stream infection","II","NA","UNREL","N"
+"003-169","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-171","UTI","II","NA","UNREL","N"
+"003-174","Hypocalcemia","III","III","UNREL","N"
+"003-176","Hypocalcemia","III","III","UNREL","N"
+"003-177","Hyponatremia","II","II","UNREL","N"
+"003-178","Myocarditis","II","NA","UNREL","Y"
+"003-182","Hypokalemia","II","II","UNREL","N"
+"003-186","Hypokalemia","II","II","UNREL","N"
+"003-187","Hypotension","II","II","UNREL","N"
+"003-191","Hypokalemia","II","II","UNREL","N"
+"003-192","Hyponatremia","II","II","UNREL","N"
+"003-198","Hyponatremia","II","II","UNREL","N"
+"003-201","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-202","Blood stream infection","II","NA","UNREL","N"
+"003-204","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-208","Acute renal failure","II","NA","UNREL","N"
+"003-210","Wound bleed","II","NA","UNREL","N"
+"003-213","Hypocalcemia","III","III","UNREL","N"
+"003-214","Hypocalcemia","III","III","UNREL","N"
+"003-217","Hypomagnesemia","I","I","UNREL","N"
+"003-218","Nose bleed","II","II","UNREL","N"
+"003-221","Nose bleed","II","II","UNREL","N"
+"003-222","UTI","II","NA","UNREL","N"
+"003-223","Hypocalcemia","III","III","UNREL","N"
+"003-228","Hyponatremia","II","II","UNREL","N"
+"003-229","Hypomagnesemia","II","II","UNREL","N"
+"003-230","Hypokalemia","II","II","UNREL","N"
+"003-233","Hypokalemia","II","II","UNREL","N"
+"003-237","Hypokalemia","II","II","UNREL","N"
+"003-238","UTI","II","NA","UNREL","N"
+"003-246","Hypokalemia","II","II","UNREL","N"
+"003-248","Hematuria","II","II","UNREL","N"
+"003-250","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-252","Hypocalcemia","II","II","UNREL","N"
+"003-253","Skin allergy","II","NA","POSREL","N"
+"003-256","Hypokalemia","II","II","UNREL","N"
+"003-257","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-259","Constipation","II","II","UNREL","N"
+"003-262","Hypocalcemia","II","II","UNREL","N"
+"003-263","Aspiration pneumonia","II","NA","UNREL","N"
+"003-264","Hyponatremia","II","II","UNREL","N"
+"003-268","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-269","Hypocalcemia","II","II","UNREL","N"
+"003-270","Hypocalcemia","III","III","UNREL","N"
+"003-271","Hypokalemia","II","II","UNREL","N"
+"003-011","UTI","II","NA","UNREL","N"
+"003-018","arthralgia","II","II","UNREL","Y"
+"003-021","UTI","II","NA","UNREL","N"
+"003-026","Anemia","III","III","UNREL","Y"
+"003-032","Deep vein thrombosis","III","NA","POSREL","N"
+"003-037","Bruising","I","I","UNREL","Y"
+"003-040","UTI","II","NA","UNREL","N"
+"003-043","Otitis","II","NA","UNREL","Y"
+"003-050","Tracheal hemorrhage","III","III","UNREL","N"
+"003-057","Pressure ulcer","II","NA","UNREL","N"
+"003-061","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-062","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-063","Aspiration pneumonia","II","NA","UNREL","N"
+"003-068","arthralgia","II","II","UNREL","Y"
+"003-077","Phlebitis","I","I","UNREL","N"
+"003-082","Hyponatremia","II","II","UNREL","N"
+"003-090","Tracheal stenosis","III","III","UNREL","N"
+"003-097","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-112","Conjunctivitis","II","II","UNREL","Y"
+"003-115","Skin allergy","II","NA","REL","N"
+"003-128","Upper respiratory infection","II","II","UNREL","N"
+"003-153","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-154","Blood stream infection","II","NA","UNREL","N"
+"003-157","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-164","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-168","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-169","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-171","Recurrent tetanus","III","III","UNREL","N"
+"003-174","Gastritis","II","II","UNREL","N"
+"003-176","Constipation","II","II","UNREL","N"
+"003-177","Hypocalcemia","III","III","UNREL","N"
+"003-178","Wound bleed","II","II","UNREL","N"
+"003-180","Nose bleed","II","II","UNREL","N"
+"003-186","Hypokalemia","II","II","UNREL","N"
+"003-191","Hypomagnesemia","I","I","UNREL","N"
+"003-192","Hypocalcemia","III","III","UNREL","N"
+"003-198","Hypokalemia","II","II","UNREL","N"
+"003-202","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-204","Acute renal failure","II","NA","UNREL","N"
+"003-217","Hyponatremia","II","II","UNREL","N"
+"003-221","Hypocalcemia","III","III","UNREL","N"
+"003-223","Hypokalemia","II","II","UNREL","N"
+"003-227","UTI","II","NA","UNREL","N"
+"003-228","Upper respiratory infection","II","II","UNREL","N"
+"003-229","Gastritis","II","II","UNREL","N"
+"003-230","Hyponatremia","II","II","UNREL","N"
+"003-232","Hypocalcemia","II","II","UNREL","N"
+"003-233","Upper respiratory infection","II","II","UNREL","N"
+"003-237","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-238","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-244","Hypokalemia","II","II","UNREL","N"
+"003-246","Hyponatremia","I","I","UNREL","N"
+"003-248","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-249","Hypokalemia","II","II","UNREL","N"
+"003-250","UTI","II","NA","UNREL","N"
+"003-252","Constipation","II","II","UNREL","N"
+"003-253","Blood stream infection","II","NA","UNREL","N"
+"003-256","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-257","Hypokalemia","II","II","UNREL","N"
+"003-259","Hypocalcemia","III","III","UNREL","N"
+"003-262","Hypokalemia","II","II","UNREL","N"
+"003-266","Gastrointestinal disorder","I","I","UNREL","Y"
+"003-268","Skin allergy","II","NA","POSREL","N"
+"003-269","Blood stream infection","II","NA","UNREL","N"
+"003-270","UTI","II","NA","UNREL","N"
+"003-272","Hypocalcemia","III","III","UNREL","N"
+"003-001","Urinary retention","II","II","POSREL","Y"
+"003-009","UTI","II","NA","UNREL","N"
+"003-010","Phlebitis","I","I","UNREL","N"
+"003-021","Hematuria","II","II","UNREL","N"
+"003-024","Constipation","II","II","UNREL","N"
+"003-026","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-027","Chronic venous insufficiency","II","NA","UNREL","Y"
+"003-032","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-037","Hyponatremia","III","III","UNREL","Y"
+"003-038","Aspiration pneumonia","II","NA","UNREL","N"
+"003-043","UTI","II","NA","UNREL","N"
+"003-050","Anemia","II","II","UNREL","Y"
+"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-063","Anemia","III","III","UNREL","Y"
+"003-082","Hypokalemia","II","II","UNREL","N"
+"003-097","UTI","II","NA","UNREL","N"
+"003-153","UTI","II","NA","UNREL","N"
+"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-164","Pneumothorax","II","II","UNREL","N"
+"003-177","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-180","Tracheal hemorrhage","II","II","UNREL","N"
+"003-182","Wound infection","II","NA","UNREL","N"
+"003-191","Tracheal hemorrhage","II","II","UNREL","N"
+"003-192","Tracheal hemorrhage","II","II","UNREL","N"
+"003-198","Hypocalcemia","III","III","UNREL","N"
+"003-202","Tracheal hemorrhage","I","I","UNREL","N"
+"003-204","Pressure ulcer","II","NA","UNREL","N"
+"003-208","Hypokalemia","II","II","UNREL","Y"
+"003-210","Hyponatremia","II","II","UNREL","N"
+"003-218","Hyperpyrexia","NA","NA","UNREL","N"
+"003-221","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-227","Hypocalcemia","II","II","UNREL","N"
+"003-228","Constipation","II","II","UNREL","N"
+"003-230","Hypocalcemia","II","II","UNREL","N"
+"003-232","Hyponatremia","I","I","UNREL","N"
+"003-237","Aspiration pneumonia","II","NA","UNREL","N"
+"003-238","Hypocalcemia","II","II","UNREL","N"
+"003-244","Hyponatremia","I","I","UNREL","N"
+"003-246","Hypomagnesemia","I","I","UNREL","N"
+"003-248","UTI","II","NA","UNREL","N"
+"003-249","Hypocalcemia","III","III","UNREL","N"
+"003-252","Skin allergy","I","NA","POSREL","N"
+"003-253","Constipation","II","II","UNREL","N"
+"003-256","Constipation","II","II","UNREL","N"
+"003-257","Hyponatremia","I","I","UNREL","N"
+"003-259","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-262","Blood stream infection","II","NA","UNREL","N"
+"003-263","Hyponatremia","II","II","UNREL","N"
+"003-264","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-266","Constipation","II","II","UNREL","N"
+"003-268","Hyponatremia","II","II","UNREL","N"
+"003-269","Hypokalemia","II","II","UNREL","N"
+"003-270","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-272","Hyponatremia","I","I","UNREL","N"
+"003-009","UTI","II","NA","UNREL","N"
+"003-010","UTI","II","NA","UNREL","N"
+"003-021","Tracheal hemorrhage","II","II","UNREL","N"
+"003-024","arthralgia","II","II","UNREL","Y"
+"003-025","Anemia","III","III","UNREL","N"
+"003-037","Tracheal hemorrhage","II","II","UNREL","N"
+"003-038","UTI","II","NA","UNREL","N"
+"003-043","Blood stream infection","II","NA","UNREL","Y"
+"003-050","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-057","UTI","II","NA","UNREL","N"
+"003-153","Blood stream infection","II","NA","UNREL","N"
+"003-154","Acute renal failure","III","NA","UNREL","N"
+"003-164","Tracheal hemorrhage","I","I","UNREL","N"
+"003-177","Acute renal failure","II","NA","UNREL","Y"
+"003-178","Hypocalcemia","III","III","UNREL","N"
+"003-180","Arterial thromboembolism","IV","IV","REL","N"
+"003-182","Hypocalcemia","III","III","UNREL","N"
+"003-198","Anemia","III","III","UNREL","Y"
+"003-202","Hypokalemia","II","II","UNREL","N"
+"003-208","Hypernatremia","I","I","UNREL","Y"
+"003-210","Hypocalcemia","III","III","UNREL","N"
+"003-218","Creatinine increase","III","III","UNREL","Y"
+"003-221","UTI","II","NA","UNREL","N"
+"003-227","Hyponatremia","I","I","UNREL","N"
+"003-229","Constipation","II","II","UNREL","N"
+"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-232","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-237","Hypocalcemia","II","II","UNREL","N"
+"003-244","Dizziness","II","II","UNREL","N"
+"003-246","Hypocalcemia","III","III","UNREL","N"
+"003-248","Hypertension","II","II","UNREL","N"
+"003-249","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-250","Hypokalemia","II","II","UNREL","N"
+"003-256","Conjunctivitis","II","II","UNREL","N"
+"003-257","Constipation","II","II","UNREL","N"
+"003-262","Nose bleed","I","I","UNREL","N"
+"003-263","Hypocalcemia","III","III","UNREL","N"
+"003-264","Back pain","II","II","UNREL","Y"
+"003-266","Hypokalemia","II","II","UNREL","N"
+"003-269","Skin allergy","II","NA","UNREL","N"
+"003-270","Hyponatremia","II","II","UNREL","N"
+"003-272","Constipation","II","II","UNREL","N"
+"003-009","Dysphagia","IV","IV","UNREL","Y"
+"003-010","UTI","II","NA","UNREL","N"
+"003-024","Cerebral hemorrhage","II","NA","UNREL","Y"
+"003-026","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-038","Cholangitis","NA","NA","UNREL","Y"
+"003-043","Anemia","III","III","UNREL","N"
+"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-153","Anemia","III","III","UNREL","Y"
+"003-154","Ventilator associated pneumonia","III","NA","UNREL","Y"
+"003-177","Ventilator associated pneumonia","IV","IV","UNREL","Y"
+"003-178","Deep vein thrombosis","III","III","POSREL","N"
+"003-198","Hypomagnesemia","I","I","UNREL","N"
+"003-204","Hypernatremia","I","I","UNREL","N"
+"003-208","Blood stream infection","II","NA","UNREL","N"
+"003-210","Oral infection","II","II","UNREL","N"
+"003-218","Arterial thromboembolism","IV","IV","POSREL","N"
+"003-221","Blood stream infection","II","NA","UNREL","N"
+"003-227","Constipation","II","II","UNREL","N"
+"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-232","Pleural abscess","NA","NA","UNREL","Y"
+"003-237","Hypomagnesemia","I","I","UNREL","N"
+"003-246","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-248","Hypokalemia","II","II","UNREL","N"
+"003-249","UTI","II","NA","UNREL","N"
+"003-250","Constipation","II","II","UNREL","N"
+"003-257","Dizziness","II","II","UNREL","N"
+"003-262","Oral infection","II","II","UNREL","Y"
+"003-263","Hypokalemia","III","III","UNREL","N"
+"003-266","Hyponatremia","II","II","UNREL","N"
+"003-269","Hyponatremia","I","I","UNREL","N"
+"003-010","Pyloric stenosis","III","III","UNREL","Y"
+"003-025","Anemia","III","III","UNREL","N"
+"003-026","UTI","II","NA","UNREL","N"
+"003-043","UTI","II","NA","UNREL","N"
+"003-107","Cardiac arrest","IV","IV","UNREL","N"
+"003-153","Hyponatremia","III","III","UNREL","N"
+"003-178","Wound infection","II","NA","UNREL","N"
+"003-204","Hypokalemia","II","II","UNREL","N"
+"003-208","Anemia","III","III","UNREL","Y"
+"003-221","Upper respiratory infection","II","II","UNREL","N"
+"003-230","Sinus bradycardia","I","I","UNREL","Y"
+"003-237","Hyponatremia","III","III","UNREL","N"
+"003-246","Pruritus","II","II","POSREL","N"
+"003-248","Skin allergy","II","NA","POSREL","N"
+"003-249","Urinary retention","II","II","UNREL","Y"
+"003-262","Hyponatremia","II","II","UNREL","N"
+"003-263","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-269","Constipation","II","II","UNREL","N"
+"003-271","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Anemia","III","III","UNREL","N"
+"003-037","Aspiration pneumonia","II","NA","UNREL","N"
+"003-043","Pressure ulcer","III","NA","UNREL","N"
+"003-153","Hypokalemia","II","II","UNREL","N"
+"003-164","Conjunctivitis","II","II","UNREL","Y"
+"003-178","Blood stream infection","II","NA","UNREL","N"
+"003-204","Hypocalcemia","III","III","UNREL","N"
+"003-208","Hypotension","III","III","UNREL","N"
+"003-230","Dizziness","II","II","UNREL","Y"
+"003-246","Myalgia","II","II","UNREL","N"
+"003-248","Constipation","II","II","UNREL","N"
+"003-262","Constipation","II","II","UNREL","N"
+"003-263","Deep vein thrombosis","III","NA","POSREL","N"
+"003-025","UTI","II","NA","UNREL","N"
+"003-037","Adrenal insufficiency","II","II","UNREL","Y"
+"003-153","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
+"003-178","Tracheal hemorrhage","II","II","UNREL","N"
+"003-204","Rhabdomyolysis","II","II","UNREL","N"
+"003-208","Platelet count decreased","III","III","UNREL","N"
+"003-230","Constipation","II","II","UNREL","N"
+"003-262","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-263","Low weight, muscle wasting","II","NA","UNREL","Y"
+"003-269","UTI","II","NA","UNREL","N"
+"003-025","Platelet count decreased","III","III","UNREL","N"
+"003-153","Pressure ulcer","II","II","UNREL","N"
+"003-204","Anemia","III","III","UNREL","Y"
+"003-208","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-262","Low weight, muscle wasting","II","NA","UNREL","Y"
+"003-269","Low weight, muscle wasting","II","NA","UNREL","N"
+"003-271","Postoperative hemorrage","II","II","UNREL","N"
+"003-025","Hypokalemia","II","II","UNREL","N"
+"003-204","UTI","II","NA","UNREL","N"
+"003-208","Sinus bradycardia","II","II","UNREL","N"
+"003-262","Failed extubation","III","III","UNREL","N"
+"003-271","Constipation","II","II","UNREL","N"
+"003-025","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-208","Adrenal insufficiency","II","II","UNREL","Y"
+"003-271","Hypotension","IV","IV","UNREL","N"
+"003-025","Hypotension","III","III","UNREL","N"
+"003-208","Pressure ulcer","II","NA","UNREL","N"
+"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Hypotension","III","III","UNREL","N"
+"003-208","Hypoalbuminemia","III","III","UNREL",NA
+"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","UTI","II","NA","UNREL","N"
+"003-208","Constipation","II","II","UNREL","N"
+"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
+"003-025","Adrenal insufficiency","II","II","UNREL","N"
+"003-208","Cerbral infarction","IV","IV","POSREL","Y"
+"003-269","Hypotension","IV","IV","POSREL","N"
diff --git a/baseline_data.csv b/baseline_data.csv
new file mode 100644
index 0000000..33c3ddb
--- /dev/null
+++ b/baseline_data.csv
@@ -0,0 +1,272 @@
+"usubjid","age","sex","bmi","source","tetanus","icudays","outcome","hypertension","myocardialinfart","angina","perivascular","chronicpul","connectivetissue","mildliver","hemiplegia","diawithchronic","severeliver","aids","cardiacfailureiii","cerebrovascular","severeresp","pepticulcer","diabetes","severekidney","malignancy","tumour","dementia","renalfailure","electivesurgery","emergencysurgery","timetoadm","incubationperiod","incuperiodonset","wound","diffbreath","ablettscore","asa","maxtemp","resp","fio2","spo2","pao2","ph","plt","wbc","hct","maxhr","minhr","maxsbp","worstdbp","worstsbp","vaso","na","k","creat","apacheii","sofa","tss","Arm","pain_score"
+"003-001",78,"F",17.7777777777778,2,"Y",7,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37,20,21,98,NA,NA,264,6.58,39.6,104,84,200,110,200,"N",136,3.5,60,9,0,8,"Intrathecal treatment",2
+"003-002",60,"F",22.2222222222222,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","II",1,37,22,21,98,NA,NA,237,7.25,37.6,92,72,160,90,160,"N",143,3.46,53,8,0,-2,"Sham procedure",1
+"003-003",48,"M",25.8166302126286,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,36,"Superficial/other","N","II",1,37.1,20,21,94,NA,NA,226,7.81,48.3,88,64,150,100,150,"N",143,3.92,79,5,0,4,"Sham procedure",4
+"003-004",16,"M",19.8140527358634,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,5,24,"Superficial/other","Y","II",1,38,26,21,96,NA,NA,308,12.8,40.7,108,84,140,80,140,"N",139,3.56,65,1,0,2,"Sham procedure",4
+"003-005",63,"F",18.7304890738814,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,20,24,"Superficial/other","N","II",1,37.5,20,21,95,NA,NA,369,13,39,100,94,110,70,110,"N",140,3,44,6,0,0,"Intrathecal treatment",4
+"003-006",40,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,314,8.84,46,92,72,160,90,160,"N",136,3.92,58,3,0,-1,"Intrathecal treatment",3
+"003-007",61,"F",19.53125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,48,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,276,5.37,37,92,76,150,90,150,"N",138,3.83,58,5,0,-1,"Sham procedure",2
+"003-008",71,"M",18.4240362811791,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N",4,30,NA,"Deep","N","I",1,37,24,21,96,NA,NA,305,7.78,46,92,80,160,80,120,"N",128,3.32,111,9,1,11,"Intrathecal treatment",2
+"003-009",82,"M",21.3333333333333,2,"Y",75,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","I",1,37.5,20,50,85,98,7.4,294,14.7,37,108,84,140,90,140,"N",136,3.85,67,6,2,8,"Intrathecal treatment",3
+"003-010",45,"M",24.2214532871972,2,"Y",23,3,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Deep","N","III",2,37.5,24,21,94,NA,7.4,157,9.95,34.5,109,104,120,80,120,"N",134,3.74,50,4,0,11,"Intrathecal treatment",5
+"003-011",84,"M",19.1000918273646,1,"Y",37,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,72,"Superficial/other","N","II",1,37.6,28,21,94,NA,NA,175,7.54,35,64,48,140,80,140,"N",148,2.27,73,13,0,7,"Sham procedure",4
+"003-012",47,"M",21.2585034013605,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,138,7.91,43.6,72,56,130,80,130,"N",140,3.56,85,2,1,-6,"Sham procedure",3
+"003-013",65,"M",19.53125,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,276,8.64,42.3,84,76,140,70,130,"N",136,3.68,83,5,0,-3,"Sham procedure",3
+"003-014",44,"M",20.5761316872428,2,"Y",10,4,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N",5,5,96,"Superficial/other","Y","II",1,37.6,26,21,97,NA,NA,309,11.5,43,100,84,110,60,100,"N",140,3.13,65,2,0,-1,"Intrathecal treatment",1
+"003-015",46,"M",19.1515847936417,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,2,24,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,249,6.53,47.4,88,76,140,80,140,"N",141,3.56,67,3,0,-3,"Sham procedure",5
+"003-016",41,"M",21.8724228190326,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,22,21,94,NA,NA,216,6.72,44,92,72,130,80,120,"N",135,3.45,86,1,0,0,"Intrathecal treatment",5
+"003-017",55,"M",20.7612456747405,2,"Y",22,4,"N","N","N","N","N","N","Y","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,217,9.36,47,88,64,160,90,160,"N",155,2.18,110,13,1,2,"Sham procedure",1
+"003-018",33,"F",22.0603537981269,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","I",1,38,20,21,97,NA,NA,375,9.92,39,92,84,130,80,110,"N",137,4.79,55,0,0,-5,"Sham procedure",1
+"003-019",60,"F",23.4375,2,"Y",10,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,96,"Superficial/other","N","II",2,37.8,22,21,96,NA,NA,255,8.63,39.4,72,64,150,110,140,"N",139,3.74,66,5,0,1,"Sham procedure",1
+"003-020",41,"F",24.5577523413111,1,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,15,NA,"Superficial/other","N","I",2,37.6,24,21,96,NA,NA,334,7.93,44.7,88,68,140,100,140,"N",139,3.39,53,5,0,-1,"Sham procedure",5
+"003-021",27,"M",23.4375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,24,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,340,12.7,45.5,90,84,130,80,120,"N",142,3.37,87,1,0,-5,"Intrathecal treatment",5
+"003-022",23,"M",18.7304890738814,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","Y","III",1,38,22,21,97,NA,NA,302,15.3,39.3,100,92,130,80,130,"N",143,3.03,74,2,0,-1,"Intrathecal treatment",4
+"003-023",53,"M",24.3374797187669,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",1,37.4,26,21,94,NA,NA,266,7.94,47,100,88,160,100,160,"N",136,3.81,90,6,0,4,"Intrathecal treatment",2
+"003-024",42,"M",21.875,2,"Y",34,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,349,13.9,42,106,96,130,80,130,"N",141,3.61,55,0,0,1,"Intrathecal treatment",2
+"003-025",63,"F",16.8474687705457,2,"Y",NA,4,"N","N","N","Y","Y","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",3,37.6,24,21,94,NA,NA,358,19.9,32,92,84,160,90,160,"N",130,3.52,37,13,0,9,"Sham procedure",4
+"003-026",80,"F",20,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,38.2,24,21,96,NA,NA,212,10.05,34.4,96,80,160,90,160,"N",139,3.35,63,9,0,6,"Sham procedure",2
+"003-027",64,"F",23.9360623149012,1,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,NA,"Superficial/other","N","I",2,37.5,24,21,96,NA,NA,221,10.79,40,96,76,180,100,180,"N",137.8,3.49,44,8,0,2,"Intrathecal treatment",1
+"003-028",67,"F",20,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N",5,NA,96,"Superficial/other","N","I",2,37.4,24,21,96,NA,NA,174,7.16,36.9,80,72,140,90,140,"N",139,2.99,61,12,0,0,"Intrathecal treatment",3
+"003-029",33,"M",20.8116545265349,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,NA,"Superficial/other","N","I",1,37,26,21,97,NA,NA,230,14.4,46,84,76,120,70,120,"N",139,3.95,130,2,1,-5,"Intrathecal treatment",5
+"003-030",46,"M",23.1833910034602,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,NA,"Superficial/other","N","I",1,37.4,22,21,97,NA,NA,259,7.88,42.6,88,80,130,80,130,"N",140,3.55,89,2,0,-5,"Sham procedure",3
+"003-031",50,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,37.4,22,21,94,NA,NA,279,10.7,46,96,80,160,110,160,"N",140,3.27,62,11,0,4,"Intrathecal treatment",1
+"003-032",63,"M",23.6614386154678,2,"Y",21,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,7,96,"Superficial/other","N","II",2,37,24,21,97,NA,NA,148,4.61,37.9,68,64,130,80,130,"N",145,3.28,111,6,2,-2,"Sham procedure",2
+"003-033",52,"M",15.625,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,256,10.9,40.5,84,84,130,80,130,"N",140,3.52,79,2,0,-5,"Intrathecal treatment",4
+"003-034",42,"M",20.8116545265349,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,NA,24,"Superficial/other","N","II",2,37.6,24,21,98,NA,NA,326,6.19,26.5,100,88,150,100,150,"N",141,2.98,46,18,0,2,"Sham procedure",4
+"003-035",57,"F",18.1786703601108,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,339,6.18,39,88,84,150,100,150,"N",136,4.64,74,5,0,-2,"Intrathecal treatment",1
+"003-036",55,"M",18.6268226245794,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,48,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,309,14.15,39.8,88,76,130,80,130,"N",137,3.78,77,3,0,-5,"Sham procedure",5
+"003-037",61,"F",24.9739854318418,2,"Y",28,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","Y","III",2,38,22,25,93,NA,NA,142,9.26,36.4,100,88,140,80,140,"N",139,3.07,53,6,1,4,"Intrathecal treatment",1
+"003-038",88,"F",20.4081632653061,2,"Y",26,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",2,37,24,21,96,NA,NA,217,9.78,38,100,76,180,100,180,"N",140,4.33,60,8,0,12,"Sham procedure",4
+"003-039",54,"M",25.3443526170799,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,NA,"Superficial/other","N","I",1,37,22,21,96,NA,NA,255,16.5,42,108,60,190,110,190,"N",140,3.62,90,6,0,0,"Sham procedure",3
+"003-040",34,"M",25.9701155481953,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37,20,21,99,NA,NA,242,7.9,44,104,88,150,80,150,"N",133,3.42,77,1,0,5,"Sham procedure",4
+"003-041",55,"M",25.7116620752984,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,5,NA,"Superficial/other","N","I",2,37,24,21,98,NA,NA,322,9.43,38,92,88,130,80,130,"N",141,3.74,109,3,0,-2,"Intrathecal treatment",5
+"003-042",27,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,4,24,"Superficial/other","N","II",2,39,26,40,97,101,7.36,339,16,43,148,88,130,80,130,"N",143,3.12,69,9,1,11,"Intrathecal treatment",5
+"003-043",68,"F",20,2,"Y",43,3,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","Y","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,24,21,80,NA,NA,523,11.4,35,124,104,140,80,140,"N",138,4.28,68,12,0,9,"Sham procedure",4
+"003-044",41,"M",18.9619274241523,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",15,NA,NA,"Superficial/other","N","I",1,38,20,21,98,NA,NA,385,7.16,45,84,80,140,80,140,"N",137,3.72,83,0,0,-4,"Intrathecal treatment",3
+"003-045",49,"F",18.7304890738814,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,24,"Superficial/other","N","II",1,37.2,20,21,97,NA,NA,361,8.57,38,92,88,110,70,110,"N",143,3.45,56,3,0,-6,"Intrathecal treatment",3
+"003-046",61,"M",22.8373702422145,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,306,5.98,44,96,84,160,90,140,"N",140,4.62,75,3,0,4,"Intrathecal treatment",2
+"003-047",43,"M",22.0931700542861,1,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,72,"Superficial/other","N","I",1,37.2,22,21,97,NA,NA,251,6.84,41,86,68,140,80,120,"N",138,3.58,58,5,0,2,"Sham procedure",5
+"003-048",56,"M",22.038567493113,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,72,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,351,10.8,38,100,88,140,80,120,"N",144,3.5,80,3,0,-3,"Intrathecal treatment",5
+"003-049",64,"M",19.921875,2,"Y",12,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,120,"Superficial/other","N","II",2,37.4,30,21,91,NA,NA,221,6.93,36,100,64,140,90,140,"N",142,3.74,77,4,0,-1,"Intrathecal treatment",1
+"003-050",59,"M",20.8888888888889,2,"Y",33,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","Y","III",2,37.6,25,40,92,168,7.43,124,6.65,25.3,124,96,180,90,180,"N",138,3.67,65,10,3,15,"Intrathecal treatment",3
+"003-051",63,"M",16.8061342389972,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,244,7.44,40,80,72,140,80,130,"N",143,3.95,84,3,0,-3,"Sham procedure",2
+"003-052",65,"F",23.309053069719,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,15,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,337,6.58,39,80,72,150,70,120,"N",139,3.85,61,5,0,4,"Sham procedure",3
+"003-053",38,"M",20.0288415318058,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,23,"Superficial/other","Y","III",2,37.5,20,21,95,NA,NA,210,9.15,35.3,120,68,160,90,160,"N",140,3.59,47,6,0,15,"Sham procedure",4
+"003-054",73,"M",23.4375,2,"Y",22,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",3,NA,24,"Superficial/other","N","II",3,38.5,22,36,97,NA,NA,351,13.48,45.9,104,86,170,80,170,"N",138,3.65,112,8,2,10,"Sham procedure",2
+"003-055",57,"F",21.3333333333333,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,72,"Superficial/other","N","II",2,38.4,28,21,92,NA,NA,402,19.16,31.5,108,80,170,90,170,"N",139,4.25,80,7,0,3,"Intrathecal treatment",5
+"003-056",86,"F",22.2222222222222,2,"Y",1,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,10,120,"Superficial/other","Y","III",2,39,24,40,80,NA,NA,147,8.98,38,128,80,136,60,80,"Y",129,3.63,90,15,7,21,"Sham procedure",3
+"003-057",88,"F",20.703125,2,"Y",37,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,8,48,"Superficial/other","N","II",2,38,32,21,92,NA,NA,189,8.68,42,128,84,190,110,190,"N",144,2.62,101,14,0,16,"Intrathecal treatment",3
+"003-058",40,"M",18.732782369146,2,"Y",2,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,313,15.8,41,88,80,130,90,130,"N",NA,NA,84,1,0,-5,"Sham procedure",2
+"003-059",23,"M",20.7756232686981,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,301,11.9,44,88,80,120,70,110,"N",143,3.54,106,0,0,-5,"Sham procedure",2
+"003-060",48,"M",21.6333153055706,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,276,8.99,42,88,84,110,70,100,"N",144,3.78,88,2,0,-5,"Sham procedure",4
+"003-061",86,"M",20.4152249134948,2,"Y",24,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,244,7.94,38,88,80,150,90,150,"N",138,4.07,100,8,0,12,"Sham procedure",2
+"003-062",61,"M",20.7612456747405,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,21,48,"Superficial/other","N","II",2,37.4,22,21,92,NA,NA,137,8.2,44,160,88,210,110,210,"N",145,3.44,89,10,1,6,"Intrathecal treatment",1
+"003-063",50,"M",20.2020202020202,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.6,18,21,96,NA,NA,243,9.83,35,120,104,120,70,120,"N",137,4.03,108,4,0,4,"Sham procedure",4
+"003-064",61,"M",20.5498866213152,2,"Y",9,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","I",3,38.2,22,21,93,NA,NA,234,10.4,35,100,80,140,80,140,"N",138,4.36,90,3,0,7,"Intrathecal treatment",1
+"003-065",77,"M",23.1246703720232,2,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.5,25,21,90,NA,NA,185,7.13,42,108,100,150,70,150,"N",138,3.14,82,8,0,7,"Sham procedure",5
+"003-066",61,"F",18.6666666666667,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","II",2,38.5,20,21,98,NA,NA,289,5.7,36,100,68,190,70,120,"N",139,2.92,84,6,0,2,"Intrathecal treatment",2
+"003-067",39,"M",24.609375,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",1,38,20,21,95,NA,NA,253,10.2,39.1,86,68,120,60,100,"N",142,3.35,86,1,0,-5,"Intrathecal treatment",5
+"003-068",48,"F",22.6666666666667,1,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,39,22,21,93,NA,NA,319,8.77,40,108,70,150,90,150,"N",142,3.23,79,8,0,12,"Intrathecal treatment",2
+"003-069",44,"M",21.484375,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,NA,24,"Superficial/other","N","II",1,37.4,18,21,97,NA,NA,162,7.69,41,64,54,140,70,140,"N",138,3.71,90,2,0,2,"Intrathecal treatment",2
+"003-070",20,"M",22.65625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",1,38,18,21,97,NA,NA,286,10.6,39,88,52,110,60,90,"N",139,3.43,75,1,0,-5,"Sham procedure",3
+"003-071",66,"F",20.4444444444444,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,72,"Superficial/other","N","II",2,37.6,24,21,96,NA,NA,344,11,37,100,92,110,60,110,"N",138,3.37,74,6,0,-3,"Intrathecal treatment",2
+"003-072",23,"M",23.7386621315193,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N",2,14,24,"Superficial/other","N","II",2,37.2,20,21,98,NA,NA,240,11.2,44.1,94,92,120,70,120,"N",140,4.01,97,5,0,3,"Sham procedure",3
+"003-073",37,"M",21.4535737137265,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,15,144,"Superficial/other","N","I",1,37,22,21,97,NA,NA,266,6.46,47,84,68,140,90,140,"N",138,3.43,79,2,0,-3,"Sham procedure",3
+"003-074",51,"F",21.6412742382271,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,335,14.6,46,80,76,160,90,160,"N",141,3.52,77,5,0,7,"Intrathecal treatment",1
+"003-075",60,"M",20.7612456747405,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,14,92,"Superficial/other","N","III",1,37.4,22,21,95,NA,NA,225,9.72,46,96,80,170,100,170,"N",133,3.63,56,6,0,-2,"Intrathecal treatment",1
+"003-076",41,"M",18.7304890738814,2,"Y",8,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,48,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,302,7.17,37,100,80,180,100,180,"N",146,3.4,116,3,1,2,"Sham procedure",5
+"003-077",52,"F",22.2222222222222,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,24,"Superficial/other","Y","III",1,37.5,20,40,94,NA,NA,364,14.8,33.2,116,84,130,80,130,"N",146,3.86,54,4,1,1,"Sham procedure",1
+"003-078",54,"M",21.484375,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.4,20,21,97,NA,NA,230,5.99,39.4,84,72,120,80,120,"N",140,3.66,91,2,0,-5,"Intrathecal treatment",5
+"003-079",56,"M",19.53125,2,"Y",27,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,38,26,21,93,NA,NA,398,10.7,35.3,96,92,160,90,160,"N",138,3.5,92,6,0,4,"Sham procedure",1
+"003-080",77,"M",26.6666666666667,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","Y",7,13,120,"Superficial/other","N","II",3,37.8,26,21,96,NA,NA,349,7.77,38.9,124,80,150,90,150,"N",140,4.6,140,18,1,12,"Intrathecal treatment",2
+"003-081",73,"F",20,2,"Y",8,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",3,37.4,20,21,96,NA,NA,160,6.81,37.3,92,84,140,80,140,"N",137,3.84,98,5,0,7,"Sham procedure",1
+"003-082",60,"M",21.484375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,96,"Superficial/other","N","II",2,37,22,21,96,NA,NA,363,7.85,35.3,84,60,120,80,120,"N",132,3.63,70,3,0,-2,"Sham procedure",3
+"003-083",52,"M",26.6666666666667,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,298,8.39,36,80,76,120,80,120,"N",135,3.82,66,2,0,0,"Intrathecal treatment",3
+"003-084",55,"M",22.4913494809689,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,22,21,97,NA,NA,320,12.21,41,76,72,150,90,150,"N",138,3.29,73,6,0,-1,"Sham procedure",4
+"003-085",43,"M",23.4375,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,72,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,279,7.9,40,98,84,140,90,140,"N",137,4.12,117,0,1,-3,"Intrathecal treatment",2
+"003-086",18,"F",22.2222222222222,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",2,39.5,24,21,97,NA,NA,89,7.89,39.2,112,92,120,80,120,"N",145,4.11,62,5,2,5,"Intrathecal treatment",4
+"003-087",50,"M",21.0771952275208,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,287,9.68,36,80,52,130,80,130,"N",140,3.72,89,2,0,-5,"Sham procedure",3
+"003-088",41,"M",27.34375,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,24,"Superficial/other","Y","II",2,39,26,21,95,NA,NA,346,12.7,44.7,132,84,200,120,200,"N",137,2.99,85,16,0,14,"Intrathecal treatment",1
+"003-089",63,"M",20.7612456747405,1,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,255,9.29,37.3,92,84,150,90,150,"N",141,3.63,89,5,0,4,"Intrathecal treatment",3
+"003-090",56,"M",20.0692041522491,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","III",1,37.5,24,30,96,105,7.45,248,8.78,41,88,76,130,80,130,"N",140,3.8,84,3,0,0,"Sham procedure",4
+"003-091",45,"F",22.8928199791883,1,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,405,8.77,42.7,104,84,140,80,140,"N",132,4.02,66,2,0,3,"Intrathecal treatment",2
+"003-092",70,"M",18.9387755102041,1,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",7,7,24,"Superficial/other","N","II",3,37,22,21,97,NA,NA,235,8.24,36.9,80,72,140,80,140,"N",138,3.72,91,5,0,1,"Sham procedure",5
+"003-093",38,"M",18.2867797339453,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,10,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,251,6.65,44,92,76,130,80,130,"N",135,3.86,79,0,0,-6,"Sham procedure",2
+"003-094",37,"M",26.218820861678,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,11,24,"Superficial/other","N","II",1,38,24,21,95,NA,NA,223,7.09,43.5,120,84,130,80,130,"N",136,3.76,73,2,0,4,"Intrathecal treatment",1
+"003-095",49,"M",24.2439184746877,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,300,7.66,44,96,60,160,100,160,"N",134,3.95,74,4,0,-2,"Sham procedure",2
+"003-096",41,"M",19.9593554942662,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,10,24,"Superficial/other","N","II",1,39,30,21,96,NA,NA,374,12.7,38.4,96,84,130,90,130,"N",151,3.54,88,5,0,-2,"Intrathecal treatment",3
+"003-097",66,"F",24.9739854318418,2,"Y",33,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,179,15,39.8,100,96,130,80,130,"N",140,3.32,67,7,0,-5,"Sham procedure",3
+"003-098",53,"M",20.8116545265349,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37.2,20,21,99,NA,NA,246,8.54,38.8,76,76,110,70,100,"N",153,3.65,85,3,0,-5,"Sham procedure",2
+"003-099",56,"F",24.9739854318418,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,6,24,"Superficial/other","Y","II",2,37.4,22,21,95,NA,NA,315,11.3,34.5,106,84,150,100,150,"N",139,4.49,50,12,0,7,"Intrathecal treatment",2
+"003-100",66,"F",20,1,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,9,48,"Superficial/other","N","II",1,37.4,22,21,93,NA,NA,374,10.5,38.4,86,76,150,90,150,"N",140,3.89,58,12,0,-1,"Sham procedure",4
+"003-101",60,"M",25.390625,2,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,NA,"Superficial/other","N","I",2,37.2,20,21,95,NA,NA,264,9.95,46,100,88,150,90,150,"N",139,3.29,108,7,0,2,"Intrathecal treatment",5
+"003-102",48,"M",17.7777777777778,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,13,NA,"Superficial/other","N","I",2,37.6,22,21,97,NA,NA,891,7.72,36.5,92,84,130,90,130,"N",134,4.49,48,4,0,-3,"Sham procedure",2
+"003-103",41,"M",21.875,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,24,"Superficial/other","N","II",1,37.2,21,21,96,NA,NA,304,7.94,45,96,76,150,90,150,"N",140,3.82,80,2,0,-1,"Intrathecal treatment",3
+"003-104",63,"M",23.4375,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,72,"Superficial/other","N","II",1,37.7,24,21,94,NA,NA,241,9.19,49,88,68,130,80,130,"N",138,3.61,87,4,0,-5,"Intrathecal treatment",1
+"003-105",38,"M",17.9981634527089,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,30,288,"Superficial/other","N","II",1,38,24,21,97,NA,NA,293,10.6,37,64,60,120,60,100,"N",136,3.74,75,2,0,-6,"Intrathecal treatment",5
+"003-106",40,"M",22.8928199791883,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,26,21,94,NA,NA,315,7.1,41.8,92,72,130,90,130,"N",140,3.51,82,1,0,-5,"Sham procedure",3
+"003-107",60,"F",18.6666666666667,2,"Y",9,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,48,"Superficial/other","N","II",1,38.4,26,21,93,NA,NA,330,16.2,35,136,104,180,150,180,"N",141,3.34,54,12,0,8,"Sham procedure",2
+"003-108",34,"M",22.038567493113,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,6,24,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,375,9.24,42.6,80,72,130,80,130,"N",136,3.62,81,0,0,0,"Intrathecal treatment",1
+"003-109",41,"M",20.5456936226167,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,219,13.2,38.9,88,80,120,70,120,"N",140,3.67,95,0,0,-5,"Sham procedure",4
+"003-110",57,"M",17.6308539944904,2,"Y",7,4,"N","N","N","N","Y","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,21,120,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,403,8.56,36.2,88,80,150,80,150,"N",132,2.88,37,12,0,1,"Intrathecal treatment",4
+"003-111",48,"M",22.8928199791883,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,28,24,"Superficial/other","N","II",2,37.4,22,21,95,NA,NA,325,11.8,48.8,92,70,140,80,140,"N",144,3.14,72,4,0,5,"Sham procedure",3
+"003-112",34,"M",18.8706633763972,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37.6,15,21,95,NA,NA,194,10.1,41.9,92,64,140,80,140,"N",142,3.53,87,5,0,0,"Intrathecal treatment",1
+"003-113",34,"M",22.4913494809689,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","Y","II",1,37.5,20,21,97,NA,NA,311,12.4,43.3,84,76,140,80,140,"N",132,3.44,85,1,0,6,"Intrathecal treatment",2
+"003-114",52,"M",21.0961905148282,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,NA,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,270,10.6,38.3,94,80,140,80,140,"N",138,3.71,89,2,0,-3,"Intrathecal treatment",3
+"003-115",37,"M",24.092970521542,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,28,72,"Superficial/other","N","II",1,37.2,20,21,98,NA,NA,222,8.15,37,80,56,120,70,120,"N",138,3.4,91,1,0,-5,"Sham procedure",1
+"003-116",32,"M",23.1404958677686,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,6,48,"Superficial/other","N","II",2,37.5,20,21,95,NA,NA,216,10.35,42.6,104,68,140,80,140,"N",139,2.89,65,2,0,1,"Sham procedure",1
+"003-117",29,"M",24.2214532871972,2,"Y",21,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,30,24,"Superficial/other","N","II",1,38.1,35,21,95,120,7.5,183,10.4,44.3,130,96,160,80,160,"N",142,3.31,86,7,0,2,"Sham procedure",2
+"003-118",78,"F",20.8116545265349,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,30,120,"Superficial/other","N","II",2,37.4,24,21,90,NA,NA,250,10.6,47.1,90,76,160,80,160,"N",141,3.88,74,7,0,6,"Intrathecal treatment",2
+"003-119",18,"M",25.3515413737155,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,48,"Superficial/other","N","I",1,37,20,21,96,NA,NA,310,11.4,42,92,88,130,80,130,"N",137,3.13,74,1,0,0,"Sham procedure",4
+"003-120",49,"M",22.265625,1,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,12,92,"Superficial/other","N","II",1,37,20,21,97,NA,NA,356,10.1,42.9,86,64,120,80,120,"N",140,4.2,89,2,0,-5,"Intrathecal treatment",3
+"003-121",36,"M",22.8623685413809,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,25,92,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,294,7.53,42.3,70,70,130,80,130,"N",140,3.44,87,1,0,-5,"Sham procedure",2
+"003-122",32,"M",21.7738423573813,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,167,5.61,37.8,96,84,120,80,120,"N",137,3.75,93,0,0,-2,"Intrathecal treatment",2
+"003-123",37,"M",22.4913494809689,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,24,21,98,NA,NA,525,9.41,41,88,76,140,80,140,"N",136,4.01,82,0,0,-3,"Intrathecal treatment",5
+"003-124",72,"F",22.2222222222222,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",2,37.5,30,21,93,NA,NA,302,11.2,31.8,100,92,160,80,160,"N",141,3.19,60,7,0,7,"Sham procedure",1
+"003-125",40,"M",26.5731292517007,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,NA,"Superficial/other","N","I",1,37.4,24,21,97,NA,NA,360,7.11,42.1,104,88,140,100,140,"N",145,3.3,67,3,0,3,"Intrathecal treatment",3
+"003-126",38,"M",20.2020202020202,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,30,24,"Superficial/other","N","II",1,37.4,20,21,94,NA,NA,155,7.39,42,92,66,110,80,110,"N",132,3.7,74,0,0,0,"Sham procedure",2
+"003-127",53,"M",20.8116545265349,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,24,"Superficial/other","N","II",1,37,24,21,97,NA,NA,244,6.34,41,100,88,140,90,140,"N",134,3.8,64,2,0,-4,"Sham procedure",2
+"003-128",55,"M",20.3125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,48,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,281,10.6,43,108,70,150,90,150,"N",130,4.45,47,7,0,0,"Intrathecal treatment",4
+"003-129",39,"M",17.7832495468691,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,24,"Superficial/other","N","II",2,39,22,21,96,NA,NA,171,6.22,42.7,120,100,140,90,140,"N",133,2.85,50,9,0,8,"Intrathecal treatment",4
+"003-130",55,"M",20.3125,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,96,"Superficial/other","N","I",1,37,20,21,96,NA,NA,287,11.9,42.8,86,72,140,80,140,"N",135,3.59,71,3,0,2,"Sham procedure",4
+"003-131",59,"M",20.9366391184573,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,5,48,"Superficial/other","N","II",2,39,27,21,94,NA,NA,351,11.5,43.4,120,92,150,80,150,"N",136,3.94,69,9,0,10,"Intrathecal treatment",5
+"003-132",23,"M",23.5078053259871,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",1,37,22,21,96,NA,NA,366,13.4,50.3,80,72,120,80,120,"N",138,3.74,103,2,0,0,"Sham procedure",5
+"003-133",73,"F",17.8571428571429,2,"Y",20,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,48,"Superficial/other","N","II",2,37.8,26,21,98,NA,NA,274,7.8,29,120,68,180,80,180,"N",143,3.8,79,12,0,11,"Intrathecal treatment",4
+"003-134",40,"M",22.038567493113,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","I",1,37.6,22,21,97,NA,NA,224,8.94,49,90,68,170,80,170,"N",143,3.89,70,3,0,4,"Sham procedure",4
+"003-135",43,"M",24.2424242424242,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,NA,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,265,9.22,47.3,88,84,120,80,120,"N",140,3.72,83,1,0,-5,"Sham procedure",2
+"003-136",64,"M",19.8412698412698,2,"Y",4,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,96,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,114,7.07,42,80,68,130,80,130,"N",138,3.28,69,9,1,-2,"Intrathecal treatment",5
+"003-137",74,"M",26.0374939913475,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",4,15,72,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,270,9.32,40.7,100,92,130,80,130,"N",140,3.55,61,5,0,3,"Intrathecal treatment",2
+"003-138",39,"M",21.9671201814059,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,399,9.95,44.7,72,52,130,80,130,"N",139,3.49,78,1,0,0,"Sham procedure",2
+"003-139",56,"M",22.2222222222222,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.6,14,21,96,NA,NA,343,8.78,33.7,136,84,258,147,258,"N",141,3.58,65,9,0,11,"Sham procedure",4
+"003-140",58,"M",22.65625,2,"Y",52,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,37.5,26,21,95,NA,NA,308,11,41.2,104,84,110,70,110,"N",144,3.82,78,4,0,4,"Sham procedure",5
+"003-141",44,"M",21.1463199091024,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,37.7,20,21,97,NA,NA,210,8.18,44.4,90,88,120,80,120,"N",137,3.81,83,0,0,-6,"Intrathecal treatment",3
+"003-142",57,"M",18.3654729109275,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N",20,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,333,7.67,42.6,84,66,150,90,150,"N",140,3.68,65,10,0,-2,"Intrathecal treatment",3
+"003-143",64,"M",18.3142559833507,1,"Y",13,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,20,21,95,NA,NA,115,6.29,39.9,88,72,140,90,140,"N",140,3.98,77,3,1,-3,"Intrathecal treatment",2
+"003-144",49,"M",25.9515570934256,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,12,NA,"Superficial/other","N","I",2,37,20,21,95,NA,NA,180,6.17,42.9,76,72,120,80,120,"N",137,3.22,98,3,0,-3,"Sham procedure",2
+"003-145",32,"M",21.3039485766759,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,8,96,"Superficial/other","N","II",1,37.2,22,21,96,NA,NA,275,7.96,39,100,96,140,80,140,"N",139,3.87,85,0,0,-4,"Intrathecal treatment",1
+"003-146",68,"M",21.5138585105239,2,"Y",12,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,NA,168,"Superficial/other","N","II",2,37,20,21,95,NA,NA,377,12.3,36,76,64,120,80,120,"N",137,3.76,119,5,1,-3,"Intrathecal treatment",3
+"003-147",39,"M",22.3081499107674,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,NA,"Superficial/other","N","I",1,37.6,20,21,98,NA,NA,338,11.5,39.4,86,72,120,80,120,"N",138,3.33,78,1,0,-5,"Intrathecal treatment",5
+"003-148",64,"M",31.2394143550755,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","III",1,37,24,21,98,NA,NA,425,13.6,42,106,92,130,80,130,"N",142,3.98,95,3,0,-4,"Sham procedure",3
+"003-149",33,"M",25.390625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,38,20,21,97,NA,NA,214,7.3,41.4,100,92,130,80,130,"N",140,3.6,92,0,0,-6,"Intrathecal treatment",5
+"003-150",39,"M",19.0039083509627,1,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,72,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,309,6.88,42.8,92,76,120,80,120,"N",135,3.81,86,0,0,3,"Intrathecal treatment",1
+"003-151",55,"M",22.77318640955,2,"Y",24,4,NA,"N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,283,6.44,53,96,72,150,100,150,"N",137,3.83,81,7,0,2,"Sham procedure",2
+"003-152",60,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",2,37.5,23,21,96,NA,NA,256,9.13,42.7,84,64,130,90,130,"N",135,3.56,80,3,0,-2,"Sham procedure",4
+"003-153",74,"F",22.2222222222222,2,"Y",57,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,38,24,40,94,NA,NA,294,6.37,37.8,104,72,150,80,150,"N",145,3,70,6,1,13,"Sham procedure",3
+"003-154",75,"M",23.7812128418549,2,"Y",31,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",6,NA,120,"Superficial/other","N","II",3,37.6,20,21,97,NA,NA,411,13.87,38.3,92,68,150,90,150,"N",137,3.84,87,8,0,8,"Sham procedure",5
+"003-155",36,"M",22.2222222222222,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,9,NA,"Superficial/other","N","I",1,37.4,20,21,94,NA,NA,312,10.59,49.6,92,80,120,90,120,"N",139,3.38,80,2,0,0,"Intrathecal treatment",5
+"003-156",44,"M",23.9512265931195,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,259,6.03,37.8,84,64,120,80,120,"N",139,3.42,81,1,0,-5,"Sham procedure",5
+"003-157",46,"M",22.038567493113,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,24,"Superficial/other","N","II",1,37,20,21,96,NA,NA,260,12.8,47.6,100,92,140,90,140,"N",139,3.47,80,4,0,-3,"Intrathecal treatment",4
+"003-158",40,"M",21.875,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,36,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,323,19,48.3,90,70,130,80,130,"N",143,4.02,75,2,0,-5,"Sham procedure",3
+"003-159",42,"M",19.4674012855831,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,3,120,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,246,8.68,38,92,80,130,70,110,"N",134,3.68,75,0,0,-6,"Sham procedure",3
+"003-160",34,"M",18.3654729109275,2,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","I",1,37.4,20,21,96,NA,NA,182,9.05,39.9,82,68,120,80,120,"N",139,3.6,67,0,0,0,"Sham procedure",2
+"003-161",56,"M",13.840830449827,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,7,72,"Superficial/other","N","II",1,38,18,21,95,NA,NA,176,4.51,39.2,104,68,130,80,130,"N",139,3.45,55,4,0,-5,"Intrathecal treatment",2
+"003-162",57,"M",20.307412205455,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,96,"Superficial/other","N","I",1,37.4,18,21,96,NA,NA,274,10.3,44.6,82,72,150,90,150,"N",142,3.53,97,5,0,-1,"Sham procedure",2
+"003-163",54,"M",25.390625,2,"Y",15,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.5,26,40,92,111,7.4,321,7.63,44.5,80,64,160,120,160,"N",134,3.45,96,7,1,2,"Sham procedure",2
+"003-164",53,"M",22.038567493113,1,"Y",36,4,"Y","N","N",NA,NA,"N","N","N",NA,"N","N","N","N","N","N",NA,"Y","N","N","N","Y","N","N",3,4,24,"Superficial/other","N","III",3,39.5,25,40,90,NA,NA,220,20.8,27.3,156,84,190,100,190,"N",141,3.95,698,20,5,14,"Sham procedure",2
+"003-165",36,"M",20.9571711629325,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,278,7.46,41.3,76,68,120,80,120,"N",139,3.37,82,1,0,0,"Intrathecal treatment",3
+"003-166",32,"M",21.484375,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.5,26,21,94,NA,NA,309,7.23,42,54,48,120,80,120,"N",141,3.22,66,5,0,3,"Intrathecal treatment",1
+"003-167",33,"M",24.9770431588613,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,224,9.56,42.9,100,84,150,100,150,"N",136,3.66,109,2,0,-2,"Intrathecal treatment",1
+"003-168",46,"M",21.5138585105239,2,"Y",24,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.4,24,21,97,NA,NA,182,12.05,46.9,110,92,160,100,160,"N",140,4.89,85,7,0,8,"Intrathecal treatment",1
+"003-169",40,"M",24.21875,1,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,272,14.48,45,86,80,160,80,160,"N",136,3.77,64,0,0,7,"Intrathecal treatment",1
+"003-170",36,"M",20.9366391184573,1,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,21,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,329,5.28,40.8,70,44,150,100,150,"N",136,3.35,86,3,0,-2,"Sham procedure",3
+"003-171",48,"M",20.3125,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",NA,"N","N","N","N",2,NA,24,"Superficial/other","N","II",3,37,20,21,96,NA,NA,257,9.17,37.9,96,68,110,80,110,"N",134,3.55,83,2,0,5,"Sham procedure",1
+"003-172",39,"M",16.9370318792578,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37.5,20,21,98,NA,NA,270,14.66,43.9,76,66,130,80,130,"N",141,3.86,74,0,0,-2,"Sham procedure",2
+"003-173",49,"M",20.8116545265349,2,"Y",15,4,NA,NA,"N","N","Y","N","Y","N",NA,"N","N","N","N","N","N",NA,"N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",3,37,24,21,96,NA,NA,401,6.74,40.4,96,80,120,90,120,"N",139,5.14,62,2,0,-1,"Sham procedure",3
+"003-174",24,"M",21.3382106386222,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","II",2,37.3,24,21,95,NA,NA,310,17.22,41.9,98,76,120,90,120,"N",137,3.51,94,1,0,3,"Intrathecal treatment",4
+"003-175",40,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,20,21,97,NA,NA,233,7.96,42.8,64,48,140,90,140,"N",143,3.33,63,3,0,-3,"Sham procedure",4
+"003-176",37,"M",23.8751147842057,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","III",1,38,24,30,95,143,7.442,295,8.63,42.9,104,72,140,90,140,"N",141,4.37,89,0,0,-2,"Intrathecal treatment",3
+"003-177",48,"M",20.8116545265349,2,"Y",32,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","Y","III",2,37.4,24,21,94,NA,NA,278,17.1,42.9,96,88,140,80,140,"N",139,5,137,5,1,9,"Intrathecal treatment",4
+"003-178",43,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,331,10.03,44.6,96,76,140,100,140,"N",138,3.7,85,2,0,5,"Intrathecal treatment",2
+"003-179",26,"M",18.3391003460208,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",1,37.5,20,21,98,NA,NA,274,8.16,41.8,74,52,100,70,100,"N",134,4.17,71,0,0,-5,"Sham procedure",3
+"003-180",50,"M",23.4375,2,"Y",4,2,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,38,24,21,96,NA,NA,256,9.07,44,110,96,140,80,140,"N",146,3.21,88,5,0,1,"Intrathecal treatment",4
+"003-181",34,"M",20.8209399167162,2,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",2,37,20,21,98,NA,NA,441,12.88,42,92,86,140,90,140,"N",132,3.61,75,0,0,5,"Intrathecal treatment",3
+"003-182",63,"M",20.5693296602388,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,24,"Superficial/other","Y","III",1,37.6,24,30,97,89,7.534,357,5.1,29.4,88,76,130,80,130,"N",137,2.63,56,8,0,-1,"Intrathecal treatment",4
+"003-183",26,"M",17.3010380622837,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,187,8.68,44.6,72,68,120,80,120,"N",142,3.68,66,0,0,-5,"Sham procedure",5
+"003-184",51,"M",20.3244382551093,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,225,8.87,43.2,92,72,120,80,120,"N",138,3.5,93,2,0,0,"Intrathecal treatment",1
+"003-185",62,"M",19.0039083509627,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N",3,10,NA,"Superficial/other","N","I",3,37.4,20,21,96,NA,NA,146,64.1,37.6,88,72,140,80,140,"N",137,3.78,61,7,1,2,"Intrathecal treatment",5
+"003-186",62,"F",18.8775510204082,1,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,39,20,30,99,129,7.617,250,7.3,38,96,72,110,70,110,"N",144,3.86,60,9,0,-2,"Sham procedure",4
+"003-187",43,"M",17.89802289282,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,17,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,122,4.04,35.5,96,88,130,80,130,"N",138,3.14,54,1,1,-2,"Sham procedure",5
+"003-188",29,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",6,3,72,"Superficial/other","N","II",1,37,20,21,95,NA,NA,380,8.03,39,88,60,150,70,150,"N",137,3.92,69,5,0,-2,"Sham procedure",1
+"003-189",57,"M",20.2847985719502,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37,22,21,98,NA,NA,294,6.25,41,104,52,140,90,140,"N",138,3.6,79,3,0,-2,"Sham procedure",1
+"003-190",64,"M",20.0796012764889,2,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",2,37.3,20,21,97,NA,NA,230,7.85,42.9,72,68,120,80,120,"N",139,3.8,88,3,0,-3,"Sham procedure",1
+"003-191",65,"M",16.6530612244898,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,197,7.23,48.6,116,88,120,90,120,"N",139,3.4,63,14,0,5,"Intrathecal treatment",2
+"003-192",30,"M",17.5770686857761,1,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N",2,5,24,"Superficial/other","N","II",2,38.5,24,30,97,98,7.474,370,12.2,40.7,148,100,160,110,160,"N",140,3.2,76,7,0,11,"Intrathecal treatment",2
+"003-193",47,"M",20.2020202020202,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.4,20,21,95,NA,NA,173,7.02,46.1,80,72,130,80,130,"N",138,3.81,64,3,0,-3,"Sham procedure",4
+"003-194",57,"M",22.038567493113,2,"Y",7,4,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",9,6,96,"Superficial/other","N","II",2,37,20,21,98,NA,NA,227,6.29,45.1,80,60,140,100,140,"N",134,3.9,63,10,0,-1,"Sham procedure",1
+"003-195",45,"M",17.3061224489796,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,30,48,"Superficial/other","N","II",2,37.4,23,21,96,NA,NA,327,7.32,37.6,98,80,140,90,140,"N",140,3.27,67,8,0,0,"Intrathecal treatment",2
+"003-196",41,"M",26.171875,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,10,NA,"Superficial/other","N","I",2,37.1,22,21,96,NA,NA,373,5.86,42.2,86,80,140,90,140,"N",140,3.96,94,5,0,0,"Intrathecal treatment",1
+"003-197",60,"M",18.8271110398974,2,"Y",16,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,261,9.67,43,132,88,200,100,200,"N",141,4.03,89,8,0,6,"Sham procedure",3
+"003-198",54,"M",18.7304890738814,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","Y","III",1,39,30,40,98,127,7.415,401,11.5,32.9,142,88,140,80,140,"N",139,3.37,45,12,1,9,"Intrathecal treatment",3
+"003-199",50,"M",19.9432125473229,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,274,8.92,40.7,72,48,120,80,120,"N",145,3.99,81,2,0,-5,"Intrathecal treatment",1
+"003-200",43,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,285,6.73,42.9,72,60,120,80,120,"N",136,3.87,69,0,0,-6,"Sham procedure",4
+"003-201",42,"M",17.4747174301011,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","II",1,37,20,21,99,NA,NA,325,15.5,43,88,84,120,70,120,"N",142,3.68,62,1,0,0,"Sham procedure",3
+"003-202",56,"M",23.8751147842057,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,38.6,24,30,96,NA,NA,289,14.9,46,96,88,130,90,130,"N",140,3.83,88,10,0,0,"Intrathecal treatment",5
+"003-203",35,"M",26.9274376417234,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N",2,2,24,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,218,10.9,43.2,88,74,130,90,130,"N",143,3.72,84,0,0,5,"Intrathecal treatment",2
+"003-204",67,"M",28.2828282828283,2,"Y",36,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",3,37.6,30,21,95,NA,NA,290,8.94,42.8,102,82,160,100,160,"N",134,3.71,74,8,0,10,"Sham procedure",4
+"003-205",46,"M",24.609375,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,NA,240,"Superficial/other","N","II",1,37,22,21,95,NA,NA,226,8.7,40.2,72,56,140,80,140,"N",134,3.85,75,2,0,-4,"Sham procedure",2
+"003-206",19,"M",23.1404958677686,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,210,9.05,42,84,68,120,70,120,"N",141,3.89,91,0,0,-5,"Intrathecal treatment",2
+"003-207",53,"M",16.8962350780533,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,401,9.43,38,72,68,100,60,100,"N",141,3.78,72,2,0,0,"Sham procedure",1
+"003-208",54,"M",23.566632231405,1,"Y",65,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,6,48,"Superficial/other","N","III",2,39.4,32,40,90,NA,NA,287,6.38,42.1,112,70,160,80,160,"N",140,3.19,58,9,1,15,"Sham procedure",1
+"003-209",19,"M",22.6799524092802,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37.5,22,21,98,NA,NA,386,8.19,46.3,92,52,130,80,130,"N",140,3.3,69,2,0,-5,"Intrathecal treatment",3
+"003-210",37,"M",21.2305720237141,1,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,30,99,144,7.48,248,11.4,43.2,104,80,120,80,120,"N",139,3.65,82,0,0,1,"Intrathecal treatment",5
+"003-211",56,"M",25.3443526170799,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,174,5.29,40.8,70,52,120,80,120,"N",138,4.48,81,3,0,-5,"Sham procedure",5
+"003-212",69,"F",22.2222222222222,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,96,"Superficial/other","N","II",1,39,22,21,96,NA,NA,197,8.28,40.5,88,68,140,80,140,"N",142,3.71,74,8,0,0,"Intrathecal treatment",1
+"003-213",48,"M",22.65625,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.5,20,21,94,NA,NA,344,6.74,43.9,96,84,140,90,140,"N",142,3.7,66,2,0,2,"Intrathecal treatment",4
+"003-214",42,"M",22.4913494809689,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,96,"Superficial/other","N","I",1,37.4,20,21,97,NA,NA,217,8.67,41.6,80,68,100,60,100,"N",141,3.6,87,0,0,0,"Sham procedure",2
+"003-215",27,"M",21.2585034013605,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,246,10.2,40,84,72,120,80,120,"N",136,3.65,65,0,0,-5,"Sham procedure",3
+"003-216",39,"M",19.2233756247597,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",3,37.4,20,21,97,NA,NA,187,10.8,38.5,80,76,120,80,120,"N",143,3.26,111,1,1,-1,"Intrathecal treatment",3
+"003-217",26,"M",18.4425458240807,1,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","III",2,39.5,19,30,92,NA,NA,313,8.8,44.4,116,76,120,80,120,"N",137,3.58,88,5,0,5,"Sham procedure",2
+"003-218",42,"M",31.1418685121107,2,"Y",6,2,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",1,9,24,"Superficial/other","N","II",2,38.5,22,21,97,NA,NA,335,9.71,43.2,100,88,140,80,140,"N",145,3.67,86,6,0,5,"Intrathecal treatment",5
+"003-219",46,"M",24.21875,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",1,37,20,21,96,NA,NA,292,7.46,46,88,84,140,90,140,"N",140,3.71,63,3,0,-3,"Intrathecal treatment",4
+"003-220",49,"M",23.2334561768947,1,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37,18,21,97,NA,NA,180,7.39,41.1,92,90,110,60,100,"N",139,3.36,73,3,0,-2,"Sham procedure",1
+"003-221",41,"M",18.1312194299207,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,12,"Superficial/other","N","II",1,37.4,26,21,95,NA,NA,339,6.97,42.8,100,88,130,80,130,"N",137,3.95,59,1,0,0,"Intrathecal treatment",4
+"003-222",68,"F",20,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","III",1,37.6,30,40,80,170,7.492,368,11,40.4,96,80,140,80,140,"N",138,3.07,68,7,2,-3,"Sham procedure",3
+"003-223",55,"M",20.3125,2,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,8,48,"Superficial/other","N","II",3,38.4,20,21,98,NA,NA,637,11.7,30.2,94,86,140,90,140,"N",139,3.81,62,8,0,7,"Sham procedure",5
+"003-224",37,"M",19.8176773682124,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,288,8.93,40.4,88,70,130,90,130,"N",142,3.56,63,0,0,-5,"Intrathecal treatment",5
+"003-225",52,"M",20.8116545265349,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,15,96,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,263,8.69,44,96,72,120,80,120,"N",143,3.6,86,2,0,-5,"Sham procedure",4
+"003-226",65,"F",21.3333333333333,2,"Y",11,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,8,48,"Superficial/other","N","II",2,37.4,16,21,94,NA,NA,364,6.43,35,84,76,130,80,130,"N",134,3.92,42,7,0,-2,"Sham procedure",5
+"003-227",47,"M",23.828125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","N","II",1,37.6,22,21,95,NA,NA,328,8.18,40.2,80,68,130,70,130,"N",141,3.3,74,3,0,0,"Intrathecal treatment",1
+"003-228",52,"M",27.0551508844953,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.6,24,21,97,NA,NA,352,9.01,37.7,96,80,120,80,120,"N",145,3.44,87,3,0,0,"Intrathecal treatment",5
+"003-229",66,"M",17.0655567117586,1,"Y",10,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",2,38,22,21,96,NA,NA,217,7.91,37.4,100,80,140,80,140,"N",144,3.15,78,6,0,0,"Sham procedure",4
+"003-230",53,"M",20.8116545265349,2,"Y",46,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","III",2,37.4,24,30,95,NA,NA,279,19.8,41,90,76,140,80,140,"N",137,3.89,68,3,0,5,"Sham procedure",5
+"003-231",52,"M",26.953125,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,5,96,"Superficial/other","N","II",2,37,20,21,95,NA,NA,283,13.5,41.3,104,100,150,100,150,"N",135,3.51,81,4,0,2,"Intrathecal treatment",5
+"003-232",48,"M",21.484375,2,"Y",57,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,72,"Superficial/other","N","II",2,38.5,26,30,95,80,7.43,228,11,41.2,128,124,150,90,150,"N",139,4.16,70,8,0,4,"Sham procedure",5
+"003-233",49,"M",19.7210369679802,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","II",2,38,20,30,93,98,7.321,271,9.95,42.3,132,84,170,92,170,"N",139,4.35,77,8,0,6,"Sham procedure",3
+"003-234",43,"M",21.875,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,332,21.3,40,96,84,160,100,160,"N",132,3.66,107,4,0,7,"Intrathecal treatment",4
+"003-235",38,"M",25.390625,2,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,37,20,21,97,NA,NA,313,12.2,37.8,88,68,150,100,150,"N",141,4.1,136,4,1,7,"Intrathecal treatment",5
+"003-236",29,"M",19.1000918273646,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,120,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,203,5.65,42.8,84,64,120,70,120,"N",143,3.68,77,0,0,-6,"Intrathecal treatment",5
+"003-237",59,"M",13.5904499540863,1,"Y",24,4,"N","N","N",NA,"N","N","Y","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","N",4,NA,24,"Superficial/other","N","II",3,38,26,33,98,123,7.351,220,17.2,41.5,124,92,180,40,70,"N",150,3.32,218,15,4,8,"Sham procedure",4
+"003-238",48,"M",34.765625,2,"Y",31,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",2,37,20,21,96,NA,NA,274,5.83,51.8,88,64,130,80,130,"N",144,4.32,96,4,0,-2,"Sham procedure",4
+"003-239",35,"M",21.2278876170656,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,23,144,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,246,6.57,42.6,72,62,120,80,120,"N",139,3.93,68,0,0,-6,"Intrathecal treatment",3
+"003-240",39,"M",27.34375,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,48,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,184,6.83,44.3,100,88,120,60,120,"N",136,3.39,88,1,0,-3,"Intrathecal treatment",3
+"003-241",19,"M",18.491124260355,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,16,24,"Superficial/other","N","II",1,37.4,26,21,98,NA,NA,380,16.8,47.9,86,74,130,90,130,"N",140,3.27,74,4,0,-5,"Intrathecal treatment",4
+"003-242",42,"M",20.2812330989724,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,9,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,188,14.4,40.1,96,72,100,60,100,"N",139,2.9,71,2,0,-6,"Intrathecal treatment",1
+"003-243",61,"M",19.921875,2,"Y",5,4,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,NA,288,"Superficial/other","N","II",1,37,20,21,95,NA,NA,315,6.67,40.4,96,72,150,90,150,"N",136,4.32,88,5,0,-2,"Sham procedure",4
+"003-244",53,"F",21.875,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,39,24,30,95,112,7.46,354,10.9,37.2,98,84,160,90,160,"N",138,4,60,7,0,11,"Intrathecal treatment",2
+"003-245",38,"M",25,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,9,168,"Superficial/other","N","II",2,38,22,21,98,NA,NA,205,7.09,38,100,68,130,80,130,"N",141,3.05,66,1,0,-3,"Intrathecal treatment",2
+"003-246",57,"M",19.4674012855831,1,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.6,24,30,97,NA,NA,347,10.9,47.9,92,76,160,100,160,"N",134,4.3,75,6,0,4,"Sham procedure",4
+"003-247",56,"F",22.8928199791883,2,"Y",11,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,3,48,"Superficial/other","N","II",2,37.5,21,21,97,NA,NA,281,6.02,43.4,72,64,160,100,160,"N",134,4.33,51,7,0,2,"Sham procedure",1
+"003-248",62,"M",17.0205141986921,1,"Y",37,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,326,9.82,46.4,74,68,120,80,120,"N",134,4.26,58,4,0,3,"Sham procedure",1
+"003-249",36,"M",22.5981404958678,2,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,308,9.1,44.8,116,110,140,90,140,"N",139,3.6,80,2,0,4,"Sham procedure",2
+"003-250",46,"M",20.2020202020202,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,120,"Superficial/other","N","III",1,38.4,22,40,88,130,7.48,252,8.67,36.7,96,76,140,80,140,"N",142,3.1,62,3,2,-4,"Intrathecal treatment",4
+"003-251",30,"M",22.265625,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,224,10.4,46.8,86,60,110,70,110,"N",137,3.48,63,2,0,-2,"Sham procedure",5
+"003-252",42,"M",23.1833910034602,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",2,37.7,20,35,88,108,7.38,246,7.45,49.9,140,84,150,100,150,"N",136,4.25,74,6,1,11,"Intrathecal treatment",3
+"003-253",49,"M",21.8299521999323,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,265,10.1,45.14,124,75,160,90,160,"N",139,3.76,84,7,0,5,"Intrathecal treatment",1
+"003-255",42,"M",17.0068027210884,2,"Y",3,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,37.5,20,21,96,NA,NA,205,11.2,46.4,88,78,120,80,120,"N",135,4.04,78,2,0,3,"Sham procedure",3
+"003-256",48,"M",19.53125,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N",NA,"N","Y","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,315,7.82,39.4,92,86,130,90,130,"N",133,3.8,75,4,0,2,"Intrathecal treatment",3
+"003-257",59,"F",17.89802289282,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",1,38,22,30,96,150,7.51,335,6.56,34.4,74,64,140,80,140,"N",134,3.6,57,1,0,-6,"Intrathecal treatment",2
+"003-258",34,"M",19.53125,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,5,72,"Superficial/other","N","II",1,37.7,22,21,95,NA,NA,317,11.8,47.2,84,72,120,80,120,"N",140,3.82,72,2,0,2,"Sham procedure",4
+"003-259",41,"M",20.2020202020202,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,21,96,NA,NA,231,10.9,47.2,86,70,140,80,140,"N",143,3.42,83,0,0,-5,"Sham procedure",1
+"003-260",23,"M",22.4913494809689,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,72,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,257,13.3,42.4,76,60,110,70,110,"N",139,3.66,78,2,0,-3,"Intrathecal treatment",3
+"003-261",48,"M",20.9366391184573,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",21,NA,408,"Superficial/other","N","II",2,37,20,21,97,NA,NA,210,6.42,41.4,92,84,110,60,100,"N",137,3.76,78,5,0,7,"Sham procedure",5
+"003-262",46,"M",21.3039485766759,1,"Y",49,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.3,22,30,94,68,7.45,179,8.85,44.6,88,72,200,120,200,"N",141,3.87,69,8,1,4,"Intrathecal treatment",5
+"003-263",51,"M",16.796875,2,"Y",34,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Superficial/other","N","II",2,37.6,26,30,98,107,7.32,456,15.5,40.7,108,88,100,50,80,"N",144,3.87,NA,3,0,4,"Sham procedure",5
+"003-264",57,"M",20.1955782312925,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,38,22,30,96,103,7.33,183,8.05,40,96,88,150,80,150,"N",144,3.64,77,0,0,-3,"Intrathecal treatment",2
+"003-265",28,"M",19.4330132601738,2,"Y",17,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,48,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,247,7,42.9,88,72,130,80,130,"N",138,3.6,77,8,0,4,"Intrathecal treatment",5
+"003-266",67,"M",24.092970521542,2,"Y",13,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",3,37,20,21,98,NA,NA,232,7.71,40.3,90,74,190,105,190,"N",137,3.7,56,6,0,-2,"Sham procedure",5
+"003-267",43,"M",16.796875,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,21,24,"Superficial/other","N","II",2,37,18,21,96,NA,NA,317,8.22,37.2,96,72,120,70,110,"N",140,3.21,57,8,0,3,"Intrathecal treatment",1
+"003-268",59,"M",17.2635445362718,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,72,"Superficial/other","N","II",2,37,22,21,96,NA,NA,398,8.5,37.6,82,68,120,80,120,"N",135,3.7,88,8,1,8,"Sham procedure",5
+"003-269",42,"M",23.6244474927602,2,"Y",NA,3,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,12,"Superficial/other","N","II",2,37.4,20,40,92,79,7.24,303,9.58,47.3,110,92,160,90,160,"N",140,4.15,77,5,0,3,"Sham procedure",1
+"003-270",57,"M",19.53125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","Y","II",1,37,20,21,95,NA,NA,350,8.97,40.1,76,60,160,100,160,"N",141,3.58,67,15,1,4,"Sham procedure",2
+"003-271",66,"F",26.171875,2,"Y",18,2,"Y","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,313,19.1,33.1,100,92,180,100,180,"N",128,4,118,5,0,1,"Intrathecal treatment",1
+"003-272",23,"M",22.1002895900015,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,21,48,"Superficial/other","N","II",1,38.2,20,30,99,144,7.46,305,11.6,44.9,120,76,140,100,140,"N",143,3.2,108,NA,NA,NA,"Intrathecal treatment",1
diff --git a/group_data.csv b/group_data.csv
new file mode 100644
index 0000000..41de05b
--- /dev/null
+++ b/group_data.csv
@@ -0,0 +1,89 @@
+ctcaename,class
+Nausea,Digestive
+Back pain,Musculoskeletal
+Viral infection,Infectious
+Headache,Neurological
+Phlebitis,Cardiovascular
+Gastritis,Digestive
+Constipation,Digestive
+Hemorrhoids,Digestive
+Skin allergy,Allergic
+Pharyngitis,Respiratory
+Hospital acquired pneumonia,Infectious
+UTI,Infectious
+Fever,General
+Neuralgia,Neurological
+Hiccup,Digestive
+Myocardial ischaemia,Cardiovascular
+Oral infection,Infectious
+Upper gastrointestinal hemorrhage,Digestive
+Otitis,Infectious
+Atrial thrombosis,Cardiovascular
+Spinal disc herniation,Musculoskeletal
+Sinusitis,Respiratory
+Facial nerve disorder,Neurological
+Urinary retention,Urinary
+Hyperglycaemia,Metabolic
+Chills,General
+Arthritis,Musculoskeletal
+Aspiration pneumonia,Respiratory
+Ventilator associated pneumonia,Respiratory
+arthralgia,Musculoskeletal
+Tracheal hemorrhage,Respiratory
+Hypotension,Cardiovascular
+Nose bleed,Respiratory
+Wound infection,Infectious
+Allergy,Allergic
+Hyponatremia,Metabolic
+Cellulitis,Infectious
+Blood stream infection,Infectious
+Hypokalemia,Metabolic
+Hypocalcemia,Metabolic
+Torticolis,Musculoskeletal
+Myocarditis,Cardiovascular
+Insomnia,Neurological
+Conjunctivitis,Infectious
+Cardiac arrest,Cardiovascular
+Voice alteration,Neurological
+Necrotic wound,Infectious
+Hypomagnesemia,Metabolic
+Hematuria,Urinary
+Subcutaneous emphysema,Respiratory
+Heat stroke,General
+Atrial fibrillation,Cardiovascular
+Dizziness,Neurological
+Failed extubation,Respiratory
+Appendicitis,Digestive
+Deep vein thrombosis,Cardiovascular
+Acute renal failure,Urinary
+Wound bleed,Digestive
+Arthralgia,Musculoskeletal
+Anemia,Hematologic
+Bruising,Hematologic
+Pressure ulcer,Skin
+Tracheal stenosis,Respiratory
+Upper respiratory infection,Respiratory
+Recurrent tetanus,Neurological
+Gastrointestinal disorder,Digestive
+Chronic venous insufficiency,Cardiovascular
+Pneumothorax,Respiratory
+Hyperpyrexia,General
+Arterial thromboembolism,Cardiovascular
+Hypernatremia,Metabolic
+Creatinine increase,Metabolic
+Hypertension,Cardiovascular
+Dysphagia,Digestive
+Cerebral hemorrhage,Neurological
+Cholangitis,Digestive
+Pleural abscess,Respiratory
+Pyloric stenosis,Cardiovascular
+Sinus bradycardia,Cardiovascular
+Pruritus,Allergic
+Myalgia,Musculoskeletal
+Adrenal insufficiency,Endocrine
+Rhabdomyolysis,Musculoskeletal
+Platelet count decreased,Hematologic
+"Low weight, muscle wasting",General
+Postoperative hemorrhage,Cardiovascular
+Hypoalbuminemia,Metabolic
+Cerebral infarction,Neurological

From 1b66abffec2f6217875a32b4e45cc5f0c6d01ac2 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 1 Jul 2024 16:49:55 +0700
Subject: [PATCH 112/193] add data

---
 ae_data.csv       | 535 ----------------------------------------------
 baseline_data.csv | 272 -----------------------
 group_data.csv    |  89 --------
 3 files changed, 896 deletions(-)
 delete mode 100644 ae_data.csv
 delete mode 100644 baseline_data.csv
 delete mode 100644 group_data.csv

diff --git a/ae_data.csv b/ae_data.csv
deleted file mode 100644
index 24f1471..0000000
--- a/ae_data.csv
+++ /dev/null
@@ -1,535 +0,0 @@
-"usubjid","ctcaename","ctcaegrade","original_ctcaegrade","posrelunrel","unexp"
-"003-001","Nausea","I","I","POSREL","N"
-"003-003","Back pain","I","I","POSREL","N"
-"003-004","Viral infection","I","NA","UNREL","Y"
-"003-006","Headache","I","I","POSREL","N"
-"003-007","Phlebitis","I","I","UNREL","N"
-"003-029","Gastritis","II","II","UNREL","Y"
-"003-034","Constipation","II","II","UNREL","N"
-"003-035","Constipation","II","II","UNREL","N"
-"003-044","Gastritis","II","NA","UNREL","Y"
-"003-073","Hemorrhoids","I","I","UNREL","N"
-"003-087","Skin allergy","II","NA","REL","N"
-"003-095","Phlebitis","I","I","UNREL","N"
-"003-105","pharyngitis","II","II","UNREL","Y"
-"003-109","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-122","Headache","I","I","POSREL","N"
-"003-135","Phlebitis","I","I","UNREL","N"
-"003-141","Headache","I","I","POSREL","N"
-"003-144","UTI","II","NA","UNREL","N"
-"003-150","Headache","I","I","POSREL","N"
-"003-167","Headache","I","I","POSREL","N"
-"003-184","Hemorrhoids","I","I","UNREL","N"
-"003-242","Fever","I","I","POSREL","N"
-"003-244","Fever","I","I","POSREL","N"
-"003-261","Skin allergy","II","NA","POSREL","N"
-"003-265","Constipation","II","II","UNREL","N"
-"003-004","Neuralgia","II","II","UNREL","Y"
-"003-006","Hiccup","II","II","UNREL","Y"
-"003-007","Constipation","II","II","UNREL","N"
-"003-014","Skin allergy","II","NA","POSREL","N"
-"003-015","Constipation","II","II","UNREL","N"
-"003-023","Constipation","II","II","UNREL","N"
-"003-027","Myocardial ischaemia","II","NA","UNREL","Y"
-"003-036","UTI","II","NA","UNREL","N"
-"003-037","Oral infection","II","NA","UNREL","Y"
-"003-072","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-074","Skin allergy","II","NA","POSREL","N"
-"003-076","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-081","Otitis","II","NA","UNREL","Y"
-"003-084","UTI","II","NA","UNREL","N"
-"003-094","Headache","I","I","REL","N"
-"003-101","UTI","II","NA","UNREL","N"
-"003-103","UTI","II","NA","UNREL","N"
-"003-111","UTI","II","NA","UNREL","N"
-"003-118","Atrial thrombosis","II","NA","POSREL","N"
-"003-136","Spinal disc herniation","NA","NA","UNREL","Y"
-"003-141","Fever","I","I","POSREL","N"
-"003-159","Phlebitis","I","I","UNREL","N"
-"003-212","Fever","I","I","POSREL","N"
-"003-242","Headache","I","I","POSREL","N"
-"003-255","Sinusitis","II","II","UNREL","Y"
-"003-258","Oral infection","II","NA","UNREL","Y"
-"003-261","facial nerve disorder","II","II","UNREL","N"
-"003-007","Constipation","II","II","UNREL","N"
-"003-009","Urinary retention","II","II","UNREL","N"
-"003-027","UTI","II","NA","UNREL","N"
-"003-036","Constipation","II","II","UNREL","N"
-"003-038","Upper gastrointestinal hemorrhage","II","II","UNREL","Y"
-"003-046","Phlebitis","I","I","UNREL","N"
-"003-074","Hyperglycaemia","II","II","UNREL","N"
-"003-081","Constipation","II","II","UNREL","N"
-"003-094","Chills","I","I","REL","N"
-"003-101","Arthritis","II","II","UNREL","Y"
-"003-104","Skin allergy","II","NA","POSREL","N"
-"003-127","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-146","Aspiration pneumonia","II","NA","UNREL","N"
-"003-173","UTI","II","NA","UNREL","N"
-"003-255","Viral infection","II","NA","UNREL","Y"
-"003-258","Constipation","II","II","UNREL","N"
-"003-267","Skin allergy","II","NA","POSREL","N"
-"003-001","Constipation","II","II","UNREL","N"
-"003-005","UTI","II","NA","UNREL","N"
-"003-007","Arthritis","II","II","UNREL","Y"
-"003-017","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-019","Arthralgia","II","II","UNREL","Y"
-"003-028","Tracheal hemorrhage","II","II","UNREL","N"
-"003-038","UTI","II","NA","UNREL","N"
-"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-053","Hypotension","III","III","UNREL","N"
-"003-065","Nose bleed","II","NA","UNREL","N"
-"003-067","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-090","Wound infection","II","II","UNREL","N"
-"003-094","Fever","I","I","REL","N"
-"003-116","UTI","II","NA","UNREL","N"
-"003-117","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-123","Allergy","II","NA","POSREL","N"
-"003-127","UTI","II","NA","UNREL","N"
-"003-131","Hyponatremia","II","II","UNREL","N"
-"003-146","Cellulitis","I","I","UNREL","N"
-"003-164","Aspiration pneumonia","II","NA","UNREL","N"
-"003-168","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-172","Hyponatremia","II","II","UNREL","N"
-"003-173","Blood stream infection","II","NA","UNREL","N"
-"003-174","Otitis","II","NA","UNREL","Y"
-"003-176","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-177","Nose bleed","II","NA","UNREL","N"
-"003-178","Hypokalemia","II","II","UNREL","N"
-"003-179","Hypocalcemia","III","III","UNREL","N"
-"003-180","Hypokalemia","II","II","UNREL","N"
-"003-197","Skin allergy","II","NA","POSREL","N"
-"003-199","Torticolis","II","NA","UNREL","Y"
-"003-201","Hypokalemia","III","III","UNREL","N"
-"003-210","Tracheal hemorrhage","II","II","UNREL","N"
-"003-223","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-228","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-230","Myocarditis","II","NA","UNREL","Y"
-"003-247","UTI","II","NA","UNREL","N"
-"003-253","Hypokalemia","II","II","UNREL","N"
-"003-255","Constipation","II","II","UNREL","N"
-"003-264","Hypokalemia","II","II","UNREL","N"
-"003-267","Gastritis","II","NA","UNREL","Y"
-"003-001","Insomnia","II","II","UNREL","Y"
-"003-005","Myocardial ischaemia","II","NA","UNREL","Y"
-"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-024","Arthritis","II","II","UNREL","Y"
-"003-028","Constipation","II","II","UNREL","N"
-"003-031","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-032","Constipation","II","II","UNREL","N"
-"003-037","UTI","II","NA","UNREL","N"
-"003-040","Conjunctivitis","II","II","UNREL","N"
-"003-042","Tracheal hemorrhage","II","II","UNREL","N"
-"003-043","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-047","UTI","II","NA","UNREL","N"
-"003-048","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-053","Aspiration pneumonia","II","NA","UNREL","N"
-"003-056","Cardiac arrest","IV","IV","UNREL","N"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-082","UTI","II","NA","UNREL","N"
-"003-083","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-090","Phlebitis","I","I","UNREL","N"
-"003-091","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-092","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-096","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-098","Tracheal hemorrhage","I","I","UNREL","Y"
-"003-099","UTI","II","NA","UNREL","N"
-"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-115","UTI","II","NA","UNREL","N"
-"003-116","Skin allergy","II","NA","POSREL","N"
-"003-119","Voice alteration","I","I","UNREL","N"
-"003-131","Hypokalemia","II","II","UNREL","N"
-"003-133","UTI","II","NA","UNREL","N"
-"003-137","UTI","II","NA","UNREL","N"
-"003-139","Blood stream infection","II","NA","UNREL","N"
-"003-146","Arthritis","II","II","UNREL","Y"
-"003-152","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-153","Cardiac arrest","IV","IV","UNREL","N"
-"003-154","UTI","II","NA","UNREL","N"
-"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-163","Constipation","II","II","UNREL","N"
-"003-171","Hypokalemia","II","II","UNREL","N"
-"003-172","Hypokalemia","II","II","UNREL","N"
-"003-173","Hypokalemia","II","II","UNREL","N"
-"003-174","Hyponatremia","II","II","UNREL","N"
-"003-176","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-178","Necrotic wound","II","NA","UNREL","N"
-"003-180","Hypomagnesemia","I","I","UNREL","N"
-"003-186","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-187","Hypokalemia","II","II","UNREL","N"
-"003-191","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-192","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-201","Hypocalcemia","III","III","UNREL","N"
-"003-202","UTI","II","NA","UNREL","N"
-"003-203","Headache","I","I","POSREL","N"
-"003-210","Hypokalemia","II","II","UNREL","N"
-"003-213","Hypokalemia","II","II","UNREL","N"
-"003-214","Hypokalemia","II","II","UNREL","N"
-"003-217","Hypokalemia","II","II","UNREL","N"
-"003-218","Tracheal hemorrhage","I","I","UNREL","N"
-"003-221","Hypokalemia","II","II","UNREL","N"
-"003-222","Hypokalemia","II","II","UNREL","N"
-"003-227","Hypokalemia","II","II","UNREL","N"
-"003-228","Hypokalemia","II","II","UNREL","N"
-"003-229","Hypocalcemia","III","III","UNREL","N"
-"003-232","Hypokalemia","III","III","UNREL","N"
-"003-233","Hypocalcemia","II","II","UNREL","N"
-"003-238","Hypokalemia","II","II","UNREL","N"
-"003-247","Constipation","II","II","UNREL","N"
-"003-249","Hematuria","II","II","UNREL","Y"
-"003-250","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-252","Hypokalemia","II","II","UNREL","N"
-"003-259","Subcutaneous emphysema","I","I","UNREL","N"
-"003-263","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-264","Hypocalcemia","III","III","UNREL","N"
-"003-268","Hypokalemia","II","II","UNREL","N"
-"003-269","Heat stroke","NA","NA","UNREL","N"
-"003-270","Hypokalemia","II","II","UNREL","N"
-"003-272","Hypomagnesemia","I","I","UNREL","N"
-"003-001","UTI","II","NA","UNREL","N"
-"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-013","Skin allergy","I","NA","POSREL","N"
-"003-018","UTI","II","NA","UNREL","N"
-"003-021","Constipation","II","II","UNREL","N"
-"003-024","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Myocardial ischaemia","IV","NA","UNREL","N"
-"003-026","Atrial fibrillation","II","II","UNREL","Y"
-"003-027","Constipation","II","II","UNREL","N"
-"003-028","Dizziness","II","II","UNREL","Y"
-"003-032","Tracheal hemorrhage","II","II","UNREL","N"
-"003-040","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-050","Failed extubation","NA","NA","UNREL","Y"
-"003-061","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-062","Blood stream infection","II","NA","UNREL","N"
-"003-063","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-068","Blood stream infection","II","NA","UNREL","N"
-"003-072","Appendicitis","III","III","UNREL","N"
-"003-077","UTI","II","NA","UNREL","N"
-"003-079","UTI","II","NA","UNREL","Y"
-"003-082","Constipation","II","II","UNREL","N"
-"003-083","UTI","II","NA","UNREL","N"
-"003-090","Conjunctivitis","II","II","UNREL","N"
-"003-091","Tracheal hemorrhage","II","II","UNREL","N"
-"003-092","Deep vein thrombosis","II","NA","POSREL","N"
-"003-098","Nose bleed","II","II","UNREL","Y"
-"003-107","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-115","Voice alteration","I","I","UNREL","N"
-"003-116","Voice alteration","I","I","UNREL","N"
-"003-128","Hemorrhoids","II","II","UNREL","N"
-"003-146","Arthritis","II","II","UNREL","N"
-"003-148","Blood stream infection","II","NA","UNREL","N"
-"003-152","Atrial fibrillation","II","II","UNREL","Y"
-"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-157","Blood stream infection","II","NA","UNREL","N"
-"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-164","Hypokalemia","II","II","UNREL","N"
-"003-168","Blood stream infection","II","NA","UNREL","N"
-"003-169","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-171","UTI","II","NA","UNREL","N"
-"003-174","Hypocalcemia","III","III","UNREL","N"
-"003-176","Hypocalcemia","III","III","UNREL","N"
-"003-177","Hyponatremia","II","II","UNREL","N"
-"003-178","Myocarditis","II","NA","UNREL","Y"
-"003-182","Hypokalemia","II","II","UNREL","N"
-"003-186","Hypokalemia","II","II","UNREL","N"
-"003-187","Hypotension","II","II","UNREL","N"
-"003-191","Hypokalemia","II","II","UNREL","N"
-"003-192","Hyponatremia","II","II","UNREL","N"
-"003-198","Hyponatremia","II","II","UNREL","N"
-"003-201","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-202","Blood stream infection","II","NA","UNREL","N"
-"003-204","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-208","Acute renal failure","II","NA","UNREL","N"
-"003-210","Wound bleed","II","NA","UNREL","N"
-"003-213","Hypocalcemia","III","III","UNREL","N"
-"003-214","Hypocalcemia","III","III","UNREL","N"
-"003-217","Hypomagnesemia","I","I","UNREL","N"
-"003-218","Nose bleed","II","II","UNREL","N"
-"003-221","Nose bleed","II","II","UNREL","N"
-"003-222","UTI","II","NA","UNREL","N"
-"003-223","Hypocalcemia","III","III","UNREL","N"
-"003-228","Hyponatremia","II","II","UNREL","N"
-"003-229","Hypomagnesemia","II","II","UNREL","N"
-"003-230","Hypokalemia","II","II","UNREL","N"
-"003-233","Hypokalemia","II","II","UNREL","N"
-"003-237","Hypokalemia","II","II","UNREL","N"
-"003-238","UTI","II","NA","UNREL","N"
-"003-246","Hypokalemia","II","II","UNREL","N"
-"003-248","Hematuria","II","II","UNREL","N"
-"003-250","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-252","Hypocalcemia","II","II","UNREL","N"
-"003-253","Skin allergy","II","NA","POSREL","N"
-"003-256","Hypokalemia","II","II","UNREL","N"
-"003-257","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-259","Constipation","II","II","UNREL","N"
-"003-262","Hypocalcemia","II","II","UNREL","N"
-"003-263","Aspiration pneumonia","II","NA","UNREL","N"
-"003-264","Hyponatremia","II","II","UNREL","N"
-"003-268","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-269","Hypocalcemia","II","II","UNREL","N"
-"003-270","Hypocalcemia","III","III","UNREL","N"
-"003-271","Hypokalemia","II","II","UNREL","N"
-"003-011","UTI","II","NA","UNREL","N"
-"003-018","arthralgia","II","II","UNREL","Y"
-"003-021","UTI","II","NA","UNREL","N"
-"003-026","Anemia","III","III","UNREL","Y"
-"003-032","Deep vein thrombosis","III","NA","POSREL","N"
-"003-037","Bruising","I","I","UNREL","Y"
-"003-040","UTI","II","NA","UNREL","N"
-"003-043","Otitis","II","NA","UNREL","Y"
-"003-050","Tracheal hemorrhage","III","III","UNREL","N"
-"003-057","Pressure ulcer","II","NA","UNREL","N"
-"003-061","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-062","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-063","Aspiration pneumonia","II","NA","UNREL","N"
-"003-068","arthralgia","II","II","UNREL","Y"
-"003-077","Phlebitis","I","I","UNREL","N"
-"003-082","Hyponatremia","II","II","UNREL","N"
-"003-090","Tracheal stenosis","III","III","UNREL","N"
-"003-097","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-112","Conjunctivitis","II","II","UNREL","Y"
-"003-115","Skin allergy","II","NA","REL","N"
-"003-128","Upper respiratory infection","II","II","UNREL","N"
-"003-153","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-154","Blood stream infection","II","NA","UNREL","N"
-"003-157","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-164","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-168","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-169","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-171","Recurrent tetanus","III","III","UNREL","N"
-"003-174","Gastritis","II","II","UNREL","N"
-"003-176","Constipation","II","II","UNREL","N"
-"003-177","Hypocalcemia","III","III","UNREL","N"
-"003-178","Wound bleed","II","II","UNREL","N"
-"003-180","Nose bleed","II","II","UNREL","N"
-"003-186","Hypokalemia","II","II","UNREL","N"
-"003-191","Hypomagnesemia","I","I","UNREL","N"
-"003-192","Hypocalcemia","III","III","UNREL","N"
-"003-198","Hypokalemia","II","II","UNREL","N"
-"003-202","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-204","Acute renal failure","II","NA","UNREL","N"
-"003-217","Hyponatremia","II","II","UNREL","N"
-"003-221","Hypocalcemia","III","III","UNREL","N"
-"003-223","Hypokalemia","II","II","UNREL","N"
-"003-227","UTI","II","NA","UNREL","N"
-"003-228","Upper respiratory infection","II","II","UNREL","N"
-"003-229","Gastritis","II","II","UNREL","N"
-"003-230","Hyponatremia","II","II","UNREL","N"
-"003-232","Hypocalcemia","II","II","UNREL","N"
-"003-233","Upper respiratory infection","II","II","UNREL","N"
-"003-237","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-238","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-244","Hypokalemia","II","II","UNREL","N"
-"003-246","Hyponatremia","I","I","UNREL","N"
-"003-248","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-249","Hypokalemia","II","II","UNREL","N"
-"003-250","UTI","II","NA","UNREL","N"
-"003-252","Constipation","II","II","UNREL","N"
-"003-253","Blood stream infection","II","NA","UNREL","N"
-"003-256","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-257","Hypokalemia","II","II","UNREL","N"
-"003-259","Hypocalcemia","III","III","UNREL","N"
-"003-262","Hypokalemia","II","II","UNREL","N"
-"003-266","Gastrointestinal disorder","I","I","UNREL","Y"
-"003-268","Skin allergy","II","NA","POSREL","N"
-"003-269","Blood stream infection","II","NA","UNREL","N"
-"003-270","UTI","II","NA","UNREL","N"
-"003-272","Hypocalcemia","III","III","UNREL","N"
-"003-001","Urinary retention","II","II","POSREL","Y"
-"003-009","UTI","II","NA","UNREL","N"
-"003-010","Phlebitis","I","I","UNREL","N"
-"003-021","Hematuria","II","II","UNREL","N"
-"003-024","Constipation","II","II","UNREL","N"
-"003-026","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-027","Chronic venous insufficiency","II","NA","UNREL","Y"
-"003-032","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-037","Hyponatremia","III","III","UNREL","Y"
-"003-038","Aspiration pneumonia","II","NA","UNREL","N"
-"003-043","UTI","II","NA","UNREL","N"
-"003-050","Anemia","II","II","UNREL","Y"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-063","Anemia","III","III","UNREL","Y"
-"003-082","Hypokalemia","II","II","UNREL","N"
-"003-097","UTI","II","NA","UNREL","N"
-"003-153","UTI","II","NA","UNREL","N"
-"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-164","Pneumothorax","II","II","UNREL","N"
-"003-177","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-180","Tracheal hemorrhage","II","II","UNREL","N"
-"003-182","Wound infection","II","NA","UNREL","N"
-"003-191","Tracheal hemorrhage","II","II","UNREL","N"
-"003-192","Tracheal hemorrhage","II","II","UNREL","N"
-"003-198","Hypocalcemia","III","III","UNREL","N"
-"003-202","Tracheal hemorrhage","I","I","UNREL","N"
-"003-204","Pressure ulcer","II","NA","UNREL","N"
-"003-208","Hypokalemia","II","II","UNREL","Y"
-"003-210","Hyponatremia","II","II","UNREL","N"
-"003-218","Hyperpyrexia","NA","NA","UNREL","N"
-"003-221","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-227","Hypocalcemia","II","II","UNREL","N"
-"003-228","Constipation","II","II","UNREL","N"
-"003-230","Hypocalcemia","II","II","UNREL","N"
-"003-232","Hyponatremia","I","I","UNREL","N"
-"003-237","Aspiration pneumonia","II","NA","UNREL","N"
-"003-238","Hypocalcemia","II","II","UNREL","N"
-"003-244","Hyponatremia","I","I","UNREL","N"
-"003-246","Hypomagnesemia","I","I","UNREL","N"
-"003-248","UTI","II","NA","UNREL","N"
-"003-249","Hypocalcemia","III","III","UNREL","N"
-"003-252","Skin allergy","I","NA","POSREL","N"
-"003-253","Constipation","II","II","UNREL","N"
-"003-256","Constipation","II","II","UNREL","N"
-"003-257","Hyponatremia","I","I","UNREL","N"
-"003-259","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-262","Blood stream infection","II","NA","UNREL","N"
-"003-263","Hyponatremia","II","II","UNREL","N"
-"003-264","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-266","Constipation","II","II","UNREL","N"
-"003-268","Hyponatremia","II","II","UNREL","N"
-"003-269","Hypokalemia","II","II","UNREL","N"
-"003-270","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-272","Hyponatremia","I","I","UNREL","N"
-"003-009","UTI","II","NA","UNREL","N"
-"003-010","UTI","II","NA","UNREL","N"
-"003-021","Tracheal hemorrhage","II","II","UNREL","N"
-"003-024","arthralgia","II","II","UNREL","Y"
-"003-025","Anemia","III","III","UNREL","N"
-"003-037","Tracheal hemorrhage","II","II","UNREL","N"
-"003-038","UTI","II","NA","UNREL","N"
-"003-043","Blood stream infection","II","NA","UNREL","Y"
-"003-050","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-057","UTI","II","NA","UNREL","N"
-"003-153","Blood stream infection","II","NA","UNREL","N"
-"003-154","Acute renal failure","III","NA","UNREL","N"
-"003-164","Tracheal hemorrhage","I","I","UNREL","N"
-"003-177","Acute renal failure","II","NA","UNREL","Y"
-"003-178","Hypocalcemia","III","III","UNREL","N"
-"003-180","Arterial thromboembolism","IV","IV","REL","N"
-"003-182","Hypocalcemia","III","III","UNREL","N"
-"003-198","Anemia","III","III","UNREL","Y"
-"003-202","Hypokalemia","II","II","UNREL","N"
-"003-208","Hypernatremia","I","I","UNREL","Y"
-"003-210","Hypocalcemia","III","III","UNREL","N"
-"003-218","Creatinine increase","III","III","UNREL","Y"
-"003-221","UTI","II","NA","UNREL","N"
-"003-227","Hyponatremia","I","I","UNREL","N"
-"003-229","Constipation","II","II","UNREL","N"
-"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-232","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-237","Hypocalcemia","II","II","UNREL","N"
-"003-244","Dizziness","II","II","UNREL","N"
-"003-246","Hypocalcemia","III","III","UNREL","N"
-"003-248","Hypertension","II","II","UNREL","N"
-"003-249","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-250","Hypokalemia","II","II","UNREL","N"
-"003-256","Conjunctivitis","II","II","UNREL","N"
-"003-257","Constipation","II","II","UNREL","N"
-"003-262","Nose bleed","I","I","UNREL","N"
-"003-263","Hypocalcemia","III","III","UNREL","N"
-"003-264","Back pain","II","II","UNREL","Y"
-"003-266","Hypokalemia","II","II","UNREL","N"
-"003-269","Skin allergy","II","NA","UNREL","N"
-"003-270","Hyponatremia","II","II","UNREL","N"
-"003-272","Constipation","II","II","UNREL","N"
-"003-009","Dysphagia","IV","IV","UNREL","Y"
-"003-010","UTI","II","NA","UNREL","N"
-"003-024","Cerebral hemorrhage","II","NA","UNREL","Y"
-"003-026","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-038","Cholangitis","NA","NA","UNREL","Y"
-"003-043","Anemia","III","III","UNREL","N"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-153","Anemia","III","III","UNREL","Y"
-"003-154","Ventilator associated pneumonia","III","NA","UNREL","Y"
-"003-177","Ventilator associated pneumonia","IV","IV","UNREL","Y"
-"003-178","Deep vein thrombosis","III","III","POSREL","N"
-"003-198","Hypomagnesemia","I","I","UNREL","N"
-"003-204","Hypernatremia","I","I","UNREL","N"
-"003-208","Blood stream infection","II","NA","UNREL","N"
-"003-210","Oral infection","II","II","UNREL","N"
-"003-218","Arterial thromboembolism","IV","IV","POSREL","N"
-"003-221","Blood stream infection","II","NA","UNREL","N"
-"003-227","Constipation","II","II","UNREL","N"
-"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-232","Pleural abscess","NA","NA","UNREL","Y"
-"003-237","Hypomagnesemia","I","I","UNREL","N"
-"003-246","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-248","Hypokalemia","II","II","UNREL","N"
-"003-249","UTI","II","NA","UNREL","N"
-"003-250","Constipation","II","II","UNREL","N"
-"003-257","Dizziness","II","II","UNREL","N"
-"003-262","Oral infection","II","II","UNREL","Y"
-"003-263","Hypokalemia","III","III","UNREL","N"
-"003-266","Hyponatremia","II","II","UNREL","N"
-"003-269","Hyponatremia","I","I","UNREL","N"
-"003-010","Pyloric stenosis","III","III","UNREL","Y"
-"003-025","Anemia","III","III","UNREL","N"
-"003-026","UTI","II","NA","UNREL","N"
-"003-043","UTI","II","NA","UNREL","N"
-"003-107","Cardiac arrest","IV","IV","UNREL","N"
-"003-153","Hyponatremia","III","III","UNREL","N"
-"003-178","Wound infection","II","NA","UNREL","N"
-"003-204","Hypokalemia","II","II","UNREL","N"
-"003-208","Anemia","III","III","UNREL","Y"
-"003-221","Upper respiratory infection","II","II","UNREL","N"
-"003-230","Sinus bradycardia","I","I","UNREL","Y"
-"003-237","Hyponatremia","III","III","UNREL","N"
-"003-246","Pruritus","II","II","POSREL","N"
-"003-248","Skin allergy","II","NA","POSREL","N"
-"003-249","Urinary retention","II","II","UNREL","Y"
-"003-262","Hyponatremia","II","II","UNREL","N"
-"003-263","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-269","Constipation","II","II","UNREL","N"
-"003-271","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Anemia","III","III","UNREL","N"
-"003-037","Aspiration pneumonia","II","NA","UNREL","N"
-"003-043","Pressure ulcer","III","NA","UNREL","N"
-"003-153","Hypokalemia","II","II","UNREL","N"
-"003-164","Conjunctivitis","II","II","UNREL","Y"
-"003-178","Blood stream infection","II","NA","UNREL","N"
-"003-204","Hypocalcemia","III","III","UNREL","N"
-"003-208","Hypotension","III","III","UNREL","N"
-"003-230","Dizziness","II","II","UNREL","Y"
-"003-246","Myalgia","II","II","UNREL","N"
-"003-248","Constipation","II","II","UNREL","N"
-"003-262","Constipation","II","II","UNREL","N"
-"003-263","Deep vein thrombosis","III","NA","POSREL","N"
-"003-025","UTI","II","NA","UNREL","N"
-"003-037","Adrenal insufficiency","II","II","UNREL","Y"
-"003-153","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-178","Tracheal hemorrhage","II","II","UNREL","N"
-"003-204","Rhabdomyolysis","II","II","UNREL","N"
-"003-208","Platelet count decreased","III","III","UNREL","N"
-"003-230","Constipation","II","II","UNREL","N"
-"003-262","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-263","Low weight, muscle wasting","II","NA","UNREL","Y"
-"003-269","UTI","II","NA","UNREL","N"
-"003-025","Platelet count decreased","III","III","UNREL","N"
-"003-153","Pressure ulcer","II","II","UNREL","N"
-"003-204","Anemia","III","III","UNREL","Y"
-"003-208","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-262","Low weight, muscle wasting","II","NA","UNREL","Y"
-"003-269","Low weight, muscle wasting","II","NA","UNREL","N"
-"003-271","Postoperative hemorrage","II","II","UNREL","N"
-"003-025","Hypokalemia","II","II","UNREL","N"
-"003-204","UTI","II","NA","UNREL","N"
-"003-208","Sinus bradycardia","II","II","UNREL","N"
-"003-262","Failed extubation","III","III","UNREL","N"
-"003-271","Constipation","II","II","UNREL","N"
-"003-025","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-208","Adrenal insufficiency","II","II","UNREL","Y"
-"003-271","Hypotension","IV","IV","UNREL","N"
-"003-025","Hypotension","III","III","UNREL","N"
-"003-208","Pressure ulcer","II","NA","UNREL","N"
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Hypotension","III","III","UNREL","N"
-"003-208","Hypoalbuminemia","III","III","UNREL",NA
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","UTI","II","NA","UNREL","N"
-"003-208","Constipation","II","II","UNREL","N"
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Adrenal insufficiency","II","II","UNREL","N"
-"003-208","Cerbral infarction","IV","IV","POSREL","Y"
-"003-269","Hypotension","IV","IV","POSREL","N"
diff --git a/baseline_data.csv b/baseline_data.csv
deleted file mode 100644
index 33c3ddb..0000000
--- a/baseline_data.csv
+++ /dev/null
@@ -1,272 +0,0 @@
-"usubjid","age","sex","bmi","source","tetanus","icudays","outcome","hypertension","myocardialinfart","angina","perivascular","chronicpul","connectivetissue","mildliver","hemiplegia","diawithchronic","severeliver","aids","cardiacfailureiii","cerebrovascular","severeresp","pepticulcer","diabetes","severekidney","malignancy","tumour","dementia","renalfailure","electivesurgery","emergencysurgery","timetoadm","incubationperiod","incuperiodonset","wound","diffbreath","ablettscore","asa","maxtemp","resp","fio2","spo2","pao2","ph","plt","wbc","hct","maxhr","minhr","maxsbp","worstdbp","worstsbp","vaso","na","k","creat","apacheii","sofa","tss","Arm","pain_score"
-"003-001",78,"F",17.7777777777778,2,"Y",7,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37,20,21,98,NA,NA,264,6.58,39.6,104,84,200,110,200,"N",136,3.5,60,9,0,8,"Intrathecal treatment",2
-"003-002",60,"F",22.2222222222222,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","II",1,37,22,21,98,NA,NA,237,7.25,37.6,92,72,160,90,160,"N",143,3.46,53,8,0,-2,"Sham procedure",1
-"003-003",48,"M",25.8166302126286,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,36,"Superficial/other","N","II",1,37.1,20,21,94,NA,NA,226,7.81,48.3,88,64,150,100,150,"N",143,3.92,79,5,0,4,"Sham procedure",4
-"003-004",16,"M",19.8140527358634,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,5,24,"Superficial/other","Y","II",1,38,26,21,96,NA,NA,308,12.8,40.7,108,84,140,80,140,"N",139,3.56,65,1,0,2,"Sham procedure",4
-"003-005",63,"F",18.7304890738814,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,20,24,"Superficial/other","N","II",1,37.5,20,21,95,NA,NA,369,13,39,100,94,110,70,110,"N",140,3,44,6,0,0,"Intrathecal treatment",4
-"003-006",40,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,314,8.84,46,92,72,160,90,160,"N",136,3.92,58,3,0,-1,"Intrathecal treatment",3
-"003-007",61,"F",19.53125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,48,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,276,5.37,37,92,76,150,90,150,"N",138,3.83,58,5,0,-1,"Sham procedure",2
-"003-008",71,"M",18.4240362811791,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N",4,30,NA,"Deep","N","I",1,37,24,21,96,NA,NA,305,7.78,46,92,80,160,80,120,"N",128,3.32,111,9,1,11,"Intrathecal treatment",2
-"003-009",82,"M",21.3333333333333,2,"Y",75,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","I",1,37.5,20,50,85,98,7.4,294,14.7,37,108,84,140,90,140,"N",136,3.85,67,6,2,8,"Intrathecal treatment",3
-"003-010",45,"M",24.2214532871972,2,"Y",23,3,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Deep","N","III",2,37.5,24,21,94,NA,7.4,157,9.95,34.5,109,104,120,80,120,"N",134,3.74,50,4,0,11,"Intrathecal treatment",5
-"003-011",84,"M",19.1000918273646,1,"Y",37,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,72,"Superficial/other","N","II",1,37.6,28,21,94,NA,NA,175,7.54,35,64,48,140,80,140,"N",148,2.27,73,13,0,7,"Sham procedure",4
-"003-012",47,"M",21.2585034013605,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,138,7.91,43.6,72,56,130,80,130,"N",140,3.56,85,2,1,-6,"Sham procedure",3
-"003-013",65,"M",19.53125,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,276,8.64,42.3,84,76,140,70,130,"N",136,3.68,83,5,0,-3,"Sham procedure",3
-"003-014",44,"M",20.5761316872428,2,"Y",10,4,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N",5,5,96,"Superficial/other","Y","II",1,37.6,26,21,97,NA,NA,309,11.5,43,100,84,110,60,100,"N",140,3.13,65,2,0,-1,"Intrathecal treatment",1
-"003-015",46,"M",19.1515847936417,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,2,24,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,249,6.53,47.4,88,76,140,80,140,"N",141,3.56,67,3,0,-3,"Sham procedure",5
-"003-016",41,"M",21.8724228190326,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,22,21,94,NA,NA,216,6.72,44,92,72,130,80,120,"N",135,3.45,86,1,0,0,"Intrathecal treatment",5
-"003-017",55,"M",20.7612456747405,2,"Y",22,4,"N","N","N","N","N","N","Y","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,217,9.36,47,88,64,160,90,160,"N",155,2.18,110,13,1,2,"Sham procedure",1
-"003-018",33,"F",22.0603537981269,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","I",1,38,20,21,97,NA,NA,375,9.92,39,92,84,130,80,110,"N",137,4.79,55,0,0,-5,"Sham procedure",1
-"003-019",60,"F",23.4375,2,"Y",10,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,96,"Superficial/other","N","II",2,37.8,22,21,96,NA,NA,255,8.63,39.4,72,64,150,110,140,"N",139,3.74,66,5,0,1,"Sham procedure",1
-"003-020",41,"F",24.5577523413111,1,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,15,NA,"Superficial/other","N","I",2,37.6,24,21,96,NA,NA,334,7.93,44.7,88,68,140,100,140,"N",139,3.39,53,5,0,-1,"Sham procedure",5
-"003-021",27,"M",23.4375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,24,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,340,12.7,45.5,90,84,130,80,120,"N",142,3.37,87,1,0,-5,"Intrathecal treatment",5
-"003-022",23,"M",18.7304890738814,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","Y","III",1,38,22,21,97,NA,NA,302,15.3,39.3,100,92,130,80,130,"N",143,3.03,74,2,0,-1,"Intrathecal treatment",4
-"003-023",53,"M",24.3374797187669,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",1,37.4,26,21,94,NA,NA,266,7.94,47,100,88,160,100,160,"N",136,3.81,90,6,0,4,"Intrathecal treatment",2
-"003-024",42,"M",21.875,2,"Y",34,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,349,13.9,42,106,96,130,80,130,"N",141,3.61,55,0,0,1,"Intrathecal treatment",2
-"003-025",63,"F",16.8474687705457,2,"Y",NA,4,"N","N","N","Y","Y","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",3,37.6,24,21,94,NA,NA,358,19.9,32,92,84,160,90,160,"N",130,3.52,37,13,0,9,"Sham procedure",4
-"003-026",80,"F",20,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,38.2,24,21,96,NA,NA,212,10.05,34.4,96,80,160,90,160,"N",139,3.35,63,9,0,6,"Sham procedure",2
-"003-027",64,"F",23.9360623149012,1,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,NA,"Superficial/other","N","I",2,37.5,24,21,96,NA,NA,221,10.79,40,96,76,180,100,180,"N",137.8,3.49,44,8,0,2,"Intrathecal treatment",1
-"003-028",67,"F",20,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N",5,NA,96,"Superficial/other","N","I",2,37.4,24,21,96,NA,NA,174,7.16,36.9,80,72,140,90,140,"N",139,2.99,61,12,0,0,"Intrathecal treatment",3
-"003-029",33,"M",20.8116545265349,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,NA,"Superficial/other","N","I",1,37,26,21,97,NA,NA,230,14.4,46,84,76,120,70,120,"N",139,3.95,130,2,1,-5,"Intrathecal treatment",5
-"003-030",46,"M",23.1833910034602,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,NA,"Superficial/other","N","I",1,37.4,22,21,97,NA,NA,259,7.88,42.6,88,80,130,80,130,"N",140,3.55,89,2,0,-5,"Sham procedure",3
-"003-031",50,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,37.4,22,21,94,NA,NA,279,10.7,46,96,80,160,110,160,"N",140,3.27,62,11,0,4,"Intrathecal treatment",1
-"003-032",63,"M",23.6614386154678,2,"Y",21,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,7,96,"Superficial/other","N","II",2,37,24,21,97,NA,NA,148,4.61,37.9,68,64,130,80,130,"N",145,3.28,111,6,2,-2,"Sham procedure",2
-"003-033",52,"M",15.625,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,256,10.9,40.5,84,84,130,80,130,"N",140,3.52,79,2,0,-5,"Intrathecal treatment",4
-"003-034",42,"M",20.8116545265349,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,NA,24,"Superficial/other","N","II",2,37.6,24,21,98,NA,NA,326,6.19,26.5,100,88,150,100,150,"N",141,2.98,46,18,0,2,"Sham procedure",4
-"003-035",57,"F",18.1786703601108,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,339,6.18,39,88,84,150,100,150,"N",136,4.64,74,5,0,-2,"Intrathecal treatment",1
-"003-036",55,"M",18.6268226245794,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,48,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,309,14.15,39.8,88,76,130,80,130,"N",137,3.78,77,3,0,-5,"Sham procedure",5
-"003-037",61,"F",24.9739854318418,2,"Y",28,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","Y","III",2,38,22,25,93,NA,NA,142,9.26,36.4,100,88,140,80,140,"N",139,3.07,53,6,1,4,"Intrathecal treatment",1
-"003-038",88,"F",20.4081632653061,2,"Y",26,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",2,37,24,21,96,NA,NA,217,9.78,38,100,76,180,100,180,"N",140,4.33,60,8,0,12,"Sham procedure",4
-"003-039",54,"M",25.3443526170799,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,NA,"Superficial/other","N","I",1,37,22,21,96,NA,NA,255,16.5,42,108,60,190,110,190,"N",140,3.62,90,6,0,0,"Sham procedure",3
-"003-040",34,"M",25.9701155481953,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37,20,21,99,NA,NA,242,7.9,44,104,88,150,80,150,"N",133,3.42,77,1,0,5,"Sham procedure",4
-"003-041",55,"M",25.7116620752984,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,5,NA,"Superficial/other","N","I",2,37,24,21,98,NA,NA,322,9.43,38,92,88,130,80,130,"N",141,3.74,109,3,0,-2,"Intrathecal treatment",5
-"003-042",27,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,4,24,"Superficial/other","N","II",2,39,26,40,97,101,7.36,339,16,43,148,88,130,80,130,"N",143,3.12,69,9,1,11,"Intrathecal treatment",5
-"003-043",68,"F",20,2,"Y",43,3,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","Y","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,24,21,80,NA,NA,523,11.4,35,124,104,140,80,140,"N",138,4.28,68,12,0,9,"Sham procedure",4
-"003-044",41,"M",18.9619274241523,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",15,NA,NA,"Superficial/other","N","I",1,38,20,21,98,NA,NA,385,7.16,45,84,80,140,80,140,"N",137,3.72,83,0,0,-4,"Intrathecal treatment",3
-"003-045",49,"F",18.7304890738814,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,24,"Superficial/other","N","II",1,37.2,20,21,97,NA,NA,361,8.57,38,92,88,110,70,110,"N",143,3.45,56,3,0,-6,"Intrathecal treatment",3
-"003-046",61,"M",22.8373702422145,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,306,5.98,44,96,84,160,90,140,"N",140,4.62,75,3,0,4,"Intrathecal treatment",2
-"003-047",43,"M",22.0931700542861,1,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,72,"Superficial/other","N","I",1,37.2,22,21,97,NA,NA,251,6.84,41,86,68,140,80,120,"N",138,3.58,58,5,0,2,"Sham procedure",5
-"003-048",56,"M",22.038567493113,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,72,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,351,10.8,38,100,88,140,80,120,"N",144,3.5,80,3,0,-3,"Intrathecal treatment",5
-"003-049",64,"M",19.921875,2,"Y",12,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,120,"Superficial/other","N","II",2,37.4,30,21,91,NA,NA,221,6.93,36,100,64,140,90,140,"N",142,3.74,77,4,0,-1,"Intrathecal treatment",1
-"003-050",59,"M",20.8888888888889,2,"Y",33,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","Y","III",2,37.6,25,40,92,168,7.43,124,6.65,25.3,124,96,180,90,180,"N",138,3.67,65,10,3,15,"Intrathecal treatment",3
-"003-051",63,"M",16.8061342389972,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,244,7.44,40,80,72,140,80,130,"N",143,3.95,84,3,0,-3,"Sham procedure",2
-"003-052",65,"F",23.309053069719,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,15,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,337,6.58,39,80,72,150,70,120,"N",139,3.85,61,5,0,4,"Sham procedure",3
-"003-053",38,"M",20.0288415318058,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,23,"Superficial/other","Y","III",2,37.5,20,21,95,NA,NA,210,9.15,35.3,120,68,160,90,160,"N",140,3.59,47,6,0,15,"Sham procedure",4
-"003-054",73,"M",23.4375,2,"Y",22,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",3,NA,24,"Superficial/other","N","II",3,38.5,22,36,97,NA,NA,351,13.48,45.9,104,86,170,80,170,"N",138,3.65,112,8,2,10,"Sham procedure",2
-"003-055",57,"F",21.3333333333333,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,72,"Superficial/other","N","II",2,38.4,28,21,92,NA,NA,402,19.16,31.5,108,80,170,90,170,"N",139,4.25,80,7,0,3,"Intrathecal treatment",5
-"003-056",86,"F",22.2222222222222,2,"Y",1,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,10,120,"Superficial/other","Y","III",2,39,24,40,80,NA,NA,147,8.98,38,128,80,136,60,80,"Y",129,3.63,90,15,7,21,"Sham procedure",3
-"003-057",88,"F",20.703125,2,"Y",37,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,8,48,"Superficial/other","N","II",2,38,32,21,92,NA,NA,189,8.68,42,128,84,190,110,190,"N",144,2.62,101,14,0,16,"Intrathecal treatment",3
-"003-058",40,"M",18.732782369146,2,"Y",2,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,313,15.8,41,88,80,130,90,130,"N",NA,NA,84,1,0,-5,"Sham procedure",2
-"003-059",23,"M",20.7756232686981,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,301,11.9,44,88,80,120,70,110,"N",143,3.54,106,0,0,-5,"Sham procedure",2
-"003-060",48,"M",21.6333153055706,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,276,8.99,42,88,84,110,70,100,"N",144,3.78,88,2,0,-5,"Sham procedure",4
-"003-061",86,"M",20.4152249134948,2,"Y",24,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,244,7.94,38,88,80,150,90,150,"N",138,4.07,100,8,0,12,"Sham procedure",2
-"003-062",61,"M",20.7612456747405,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,21,48,"Superficial/other","N","II",2,37.4,22,21,92,NA,NA,137,8.2,44,160,88,210,110,210,"N",145,3.44,89,10,1,6,"Intrathecal treatment",1
-"003-063",50,"M",20.2020202020202,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.6,18,21,96,NA,NA,243,9.83,35,120,104,120,70,120,"N",137,4.03,108,4,0,4,"Sham procedure",4
-"003-064",61,"M",20.5498866213152,2,"Y",9,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","I",3,38.2,22,21,93,NA,NA,234,10.4,35,100,80,140,80,140,"N",138,4.36,90,3,0,7,"Intrathecal treatment",1
-"003-065",77,"M",23.1246703720232,2,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.5,25,21,90,NA,NA,185,7.13,42,108,100,150,70,150,"N",138,3.14,82,8,0,7,"Sham procedure",5
-"003-066",61,"F",18.6666666666667,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","II",2,38.5,20,21,98,NA,NA,289,5.7,36,100,68,190,70,120,"N",139,2.92,84,6,0,2,"Intrathecal treatment",2
-"003-067",39,"M",24.609375,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",1,38,20,21,95,NA,NA,253,10.2,39.1,86,68,120,60,100,"N",142,3.35,86,1,0,-5,"Intrathecal treatment",5
-"003-068",48,"F",22.6666666666667,1,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,39,22,21,93,NA,NA,319,8.77,40,108,70,150,90,150,"N",142,3.23,79,8,0,12,"Intrathecal treatment",2
-"003-069",44,"M",21.484375,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,NA,24,"Superficial/other","N","II",1,37.4,18,21,97,NA,NA,162,7.69,41,64,54,140,70,140,"N",138,3.71,90,2,0,2,"Intrathecal treatment",2
-"003-070",20,"M",22.65625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",1,38,18,21,97,NA,NA,286,10.6,39,88,52,110,60,90,"N",139,3.43,75,1,0,-5,"Sham procedure",3
-"003-071",66,"F",20.4444444444444,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,72,"Superficial/other","N","II",2,37.6,24,21,96,NA,NA,344,11,37,100,92,110,60,110,"N",138,3.37,74,6,0,-3,"Intrathecal treatment",2
-"003-072",23,"M",23.7386621315193,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N",2,14,24,"Superficial/other","N","II",2,37.2,20,21,98,NA,NA,240,11.2,44.1,94,92,120,70,120,"N",140,4.01,97,5,0,3,"Sham procedure",3
-"003-073",37,"M",21.4535737137265,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,15,144,"Superficial/other","N","I",1,37,22,21,97,NA,NA,266,6.46,47,84,68,140,90,140,"N",138,3.43,79,2,0,-3,"Sham procedure",3
-"003-074",51,"F",21.6412742382271,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,335,14.6,46,80,76,160,90,160,"N",141,3.52,77,5,0,7,"Intrathecal treatment",1
-"003-075",60,"M",20.7612456747405,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,14,92,"Superficial/other","N","III",1,37.4,22,21,95,NA,NA,225,9.72,46,96,80,170,100,170,"N",133,3.63,56,6,0,-2,"Intrathecal treatment",1
-"003-076",41,"M",18.7304890738814,2,"Y",8,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,48,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,302,7.17,37,100,80,180,100,180,"N",146,3.4,116,3,1,2,"Sham procedure",5
-"003-077",52,"F",22.2222222222222,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,24,"Superficial/other","Y","III",1,37.5,20,40,94,NA,NA,364,14.8,33.2,116,84,130,80,130,"N",146,3.86,54,4,1,1,"Sham procedure",1
-"003-078",54,"M",21.484375,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.4,20,21,97,NA,NA,230,5.99,39.4,84,72,120,80,120,"N",140,3.66,91,2,0,-5,"Intrathecal treatment",5
-"003-079",56,"M",19.53125,2,"Y",27,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,38,26,21,93,NA,NA,398,10.7,35.3,96,92,160,90,160,"N",138,3.5,92,6,0,4,"Sham procedure",1
-"003-080",77,"M",26.6666666666667,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","Y",7,13,120,"Superficial/other","N","II",3,37.8,26,21,96,NA,NA,349,7.77,38.9,124,80,150,90,150,"N",140,4.6,140,18,1,12,"Intrathecal treatment",2
-"003-081",73,"F",20,2,"Y",8,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",3,37.4,20,21,96,NA,NA,160,6.81,37.3,92,84,140,80,140,"N",137,3.84,98,5,0,7,"Sham procedure",1
-"003-082",60,"M",21.484375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,96,"Superficial/other","N","II",2,37,22,21,96,NA,NA,363,7.85,35.3,84,60,120,80,120,"N",132,3.63,70,3,0,-2,"Sham procedure",3
-"003-083",52,"M",26.6666666666667,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,298,8.39,36,80,76,120,80,120,"N",135,3.82,66,2,0,0,"Intrathecal treatment",3
-"003-084",55,"M",22.4913494809689,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,22,21,97,NA,NA,320,12.21,41,76,72,150,90,150,"N",138,3.29,73,6,0,-1,"Sham procedure",4
-"003-085",43,"M",23.4375,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,72,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,279,7.9,40,98,84,140,90,140,"N",137,4.12,117,0,1,-3,"Intrathecal treatment",2
-"003-086",18,"F",22.2222222222222,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",2,39.5,24,21,97,NA,NA,89,7.89,39.2,112,92,120,80,120,"N",145,4.11,62,5,2,5,"Intrathecal treatment",4
-"003-087",50,"M",21.0771952275208,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,287,9.68,36,80,52,130,80,130,"N",140,3.72,89,2,0,-5,"Sham procedure",3
-"003-088",41,"M",27.34375,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,24,"Superficial/other","Y","II",2,39,26,21,95,NA,NA,346,12.7,44.7,132,84,200,120,200,"N",137,2.99,85,16,0,14,"Intrathecal treatment",1
-"003-089",63,"M",20.7612456747405,1,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,255,9.29,37.3,92,84,150,90,150,"N",141,3.63,89,5,0,4,"Intrathecal treatment",3
-"003-090",56,"M",20.0692041522491,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","III",1,37.5,24,30,96,105,7.45,248,8.78,41,88,76,130,80,130,"N",140,3.8,84,3,0,0,"Sham procedure",4
-"003-091",45,"F",22.8928199791883,1,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,405,8.77,42.7,104,84,140,80,140,"N",132,4.02,66,2,0,3,"Intrathecal treatment",2
-"003-092",70,"M",18.9387755102041,1,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",7,7,24,"Superficial/other","N","II",3,37,22,21,97,NA,NA,235,8.24,36.9,80,72,140,80,140,"N",138,3.72,91,5,0,1,"Sham procedure",5
-"003-093",38,"M",18.2867797339453,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,10,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,251,6.65,44,92,76,130,80,130,"N",135,3.86,79,0,0,-6,"Sham procedure",2
-"003-094",37,"M",26.218820861678,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,11,24,"Superficial/other","N","II",1,38,24,21,95,NA,NA,223,7.09,43.5,120,84,130,80,130,"N",136,3.76,73,2,0,4,"Intrathecal treatment",1
-"003-095",49,"M",24.2439184746877,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,300,7.66,44,96,60,160,100,160,"N",134,3.95,74,4,0,-2,"Sham procedure",2
-"003-096",41,"M",19.9593554942662,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,10,24,"Superficial/other","N","II",1,39,30,21,96,NA,NA,374,12.7,38.4,96,84,130,90,130,"N",151,3.54,88,5,0,-2,"Intrathecal treatment",3
-"003-097",66,"F",24.9739854318418,2,"Y",33,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,179,15,39.8,100,96,130,80,130,"N",140,3.32,67,7,0,-5,"Sham procedure",3
-"003-098",53,"M",20.8116545265349,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37.2,20,21,99,NA,NA,246,8.54,38.8,76,76,110,70,100,"N",153,3.65,85,3,0,-5,"Sham procedure",2
-"003-099",56,"F",24.9739854318418,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,6,24,"Superficial/other","Y","II",2,37.4,22,21,95,NA,NA,315,11.3,34.5,106,84,150,100,150,"N",139,4.49,50,12,0,7,"Intrathecal treatment",2
-"003-100",66,"F",20,1,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,9,48,"Superficial/other","N","II",1,37.4,22,21,93,NA,NA,374,10.5,38.4,86,76,150,90,150,"N",140,3.89,58,12,0,-1,"Sham procedure",4
-"003-101",60,"M",25.390625,2,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,NA,"Superficial/other","N","I",2,37.2,20,21,95,NA,NA,264,9.95,46,100,88,150,90,150,"N",139,3.29,108,7,0,2,"Intrathecal treatment",5
-"003-102",48,"M",17.7777777777778,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,13,NA,"Superficial/other","N","I",2,37.6,22,21,97,NA,NA,891,7.72,36.5,92,84,130,90,130,"N",134,4.49,48,4,0,-3,"Sham procedure",2
-"003-103",41,"M",21.875,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,24,"Superficial/other","N","II",1,37.2,21,21,96,NA,NA,304,7.94,45,96,76,150,90,150,"N",140,3.82,80,2,0,-1,"Intrathecal treatment",3
-"003-104",63,"M",23.4375,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,72,"Superficial/other","N","II",1,37.7,24,21,94,NA,NA,241,9.19,49,88,68,130,80,130,"N",138,3.61,87,4,0,-5,"Intrathecal treatment",1
-"003-105",38,"M",17.9981634527089,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,30,288,"Superficial/other","N","II",1,38,24,21,97,NA,NA,293,10.6,37,64,60,120,60,100,"N",136,3.74,75,2,0,-6,"Intrathecal treatment",5
-"003-106",40,"M",22.8928199791883,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,26,21,94,NA,NA,315,7.1,41.8,92,72,130,90,130,"N",140,3.51,82,1,0,-5,"Sham procedure",3
-"003-107",60,"F",18.6666666666667,2,"Y",9,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,48,"Superficial/other","N","II",1,38.4,26,21,93,NA,NA,330,16.2,35,136,104,180,150,180,"N",141,3.34,54,12,0,8,"Sham procedure",2
-"003-108",34,"M",22.038567493113,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,6,24,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,375,9.24,42.6,80,72,130,80,130,"N",136,3.62,81,0,0,0,"Intrathecal treatment",1
-"003-109",41,"M",20.5456936226167,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,219,13.2,38.9,88,80,120,70,120,"N",140,3.67,95,0,0,-5,"Sham procedure",4
-"003-110",57,"M",17.6308539944904,2,"Y",7,4,"N","N","N","N","Y","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,21,120,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,403,8.56,36.2,88,80,150,80,150,"N",132,2.88,37,12,0,1,"Intrathecal treatment",4
-"003-111",48,"M",22.8928199791883,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,28,24,"Superficial/other","N","II",2,37.4,22,21,95,NA,NA,325,11.8,48.8,92,70,140,80,140,"N",144,3.14,72,4,0,5,"Sham procedure",3
-"003-112",34,"M",18.8706633763972,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37.6,15,21,95,NA,NA,194,10.1,41.9,92,64,140,80,140,"N",142,3.53,87,5,0,0,"Intrathecal treatment",1
-"003-113",34,"M",22.4913494809689,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","Y","II",1,37.5,20,21,97,NA,NA,311,12.4,43.3,84,76,140,80,140,"N",132,3.44,85,1,0,6,"Intrathecal treatment",2
-"003-114",52,"M",21.0961905148282,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,NA,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,270,10.6,38.3,94,80,140,80,140,"N",138,3.71,89,2,0,-3,"Intrathecal treatment",3
-"003-115",37,"M",24.092970521542,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,28,72,"Superficial/other","N","II",1,37.2,20,21,98,NA,NA,222,8.15,37,80,56,120,70,120,"N",138,3.4,91,1,0,-5,"Sham procedure",1
-"003-116",32,"M",23.1404958677686,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,6,48,"Superficial/other","N","II",2,37.5,20,21,95,NA,NA,216,10.35,42.6,104,68,140,80,140,"N",139,2.89,65,2,0,1,"Sham procedure",1
-"003-117",29,"M",24.2214532871972,2,"Y",21,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,30,24,"Superficial/other","N","II",1,38.1,35,21,95,120,7.5,183,10.4,44.3,130,96,160,80,160,"N",142,3.31,86,7,0,2,"Sham procedure",2
-"003-118",78,"F",20.8116545265349,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,30,120,"Superficial/other","N","II",2,37.4,24,21,90,NA,NA,250,10.6,47.1,90,76,160,80,160,"N",141,3.88,74,7,0,6,"Intrathecal treatment",2
-"003-119",18,"M",25.3515413737155,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,48,"Superficial/other","N","I",1,37,20,21,96,NA,NA,310,11.4,42,92,88,130,80,130,"N",137,3.13,74,1,0,0,"Sham procedure",4
-"003-120",49,"M",22.265625,1,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,12,92,"Superficial/other","N","II",1,37,20,21,97,NA,NA,356,10.1,42.9,86,64,120,80,120,"N",140,4.2,89,2,0,-5,"Intrathecal treatment",3
-"003-121",36,"M",22.8623685413809,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,25,92,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,294,7.53,42.3,70,70,130,80,130,"N",140,3.44,87,1,0,-5,"Sham procedure",2
-"003-122",32,"M",21.7738423573813,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,167,5.61,37.8,96,84,120,80,120,"N",137,3.75,93,0,0,-2,"Intrathecal treatment",2
-"003-123",37,"M",22.4913494809689,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,24,21,98,NA,NA,525,9.41,41,88,76,140,80,140,"N",136,4.01,82,0,0,-3,"Intrathecal treatment",5
-"003-124",72,"F",22.2222222222222,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",2,37.5,30,21,93,NA,NA,302,11.2,31.8,100,92,160,80,160,"N",141,3.19,60,7,0,7,"Sham procedure",1
-"003-125",40,"M",26.5731292517007,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,NA,"Superficial/other","N","I",1,37.4,24,21,97,NA,NA,360,7.11,42.1,104,88,140,100,140,"N",145,3.3,67,3,0,3,"Intrathecal treatment",3
-"003-126",38,"M",20.2020202020202,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,30,24,"Superficial/other","N","II",1,37.4,20,21,94,NA,NA,155,7.39,42,92,66,110,80,110,"N",132,3.7,74,0,0,0,"Sham procedure",2
-"003-127",53,"M",20.8116545265349,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,24,"Superficial/other","N","II",1,37,24,21,97,NA,NA,244,6.34,41,100,88,140,90,140,"N",134,3.8,64,2,0,-4,"Sham procedure",2
-"003-128",55,"M",20.3125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,48,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,281,10.6,43,108,70,150,90,150,"N",130,4.45,47,7,0,0,"Intrathecal treatment",4
-"003-129",39,"M",17.7832495468691,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,24,"Superficial/other","N","II",2,39,22,21,96,NA,NA,171,6.22,42.7,120,100,140,90,140,"N",133,2.85,50,9,0,8,"Intrathecal treatment",4
-"003-130",55,"M",20.3125,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,96,"Superficial/other","N","I",1,37,20,21,96,NA,NA,287,11.9,42.8,86,72,140,80,140,"N",135,3.59,71,3,0,2,"Sham procedure",4
-"003-131",59,"M",20.9366391184573,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,5,48,"Superficial/other","N","II",2,39,27,21,94,NA,NA,351,11.5,43.4,120,92,150,80,150,"N",136,3.94,69,9,0,10,"Intrathecal treatment",5
-"003-132",23,"M",23.5078053259871,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",1,37,22,21,96,NA,NA,366,13.4,50.3,80,72,120,80,120,"N",138,3.74,103,2,0,0,"Sham procedure",5
-"003-133",73,"F",17.8571428571429,2,"Y",20,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,48,"Superficial/other","N","II",2,37.8,26,21,98,NA,NA,274,7.8,29,120,68,180,80,180,"N",143,3.8,79,12,0,11,"Intrathecal treatment",4
-"003-134",40,"M",22.038567493113,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","I",1,37.6,22,21,97,NA,NA,224,8.94,49,90,68,170,80,170,"N",143,3.89,70,3,0,4,"Sham procedure",4
-"003-135",43,"M",24.2424242424242,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,NA,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,265,9.22,47.3,88,84,120,80,120,"N",140,3.72,83,1,0,-5,"Sham procedure",2
-"003-136",64,"M",19.8412698412698,2,"Y",4,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,96,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,114,7.07,42,80,68,130,80,130,"N",138,3.28,69,9,1,-2,"Intrathecal treatment",5
-"003-137",74,"M",26.0374939913475,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",4,15,72,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,270,9.32,40.7,100,92,130,80,130,"N",140,3.55,61,5,0,3,"Intrathecal treatment",2
-"003-138",39,"M",21.9671201814059,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,399,9.95,44.7,72,52,130,80,130,"N",139,3.49,78,1,0,0,"Sham procedure",2
-"003-139",56,"M",22.2222222222222,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.6,14,21,96,NA,NA,343,8.78,33.7,136,84,258,147,258,"N",141,3.58,65,9,0,11,"Sham procedure",4
-"003-140",58,"M",22.65625,2,"Y",52,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,37.5,26,21,95,NA,NA,308,11,41.2,104,84,110,70,110,"N",144,3.82,78,4,0,4,"Sham procedure",5
-"003-141",44,"M",21.1463199091024,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,37.7,20,21,97,NA,NA,210,8.18,44.4,90,88,120,80,120,"N",137,3.81,83,0,0,-6,"Intrathecal treatment",3
-"003-142",57,"M",18.3654729109275,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N",20,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,333,7.67,42.6,84,66,150,90,150,"N",140,3.68,65,10,0,-2,"Intrathecal treatment",3
-"003-143",64,"M",18.3142559833507,1,"Y",13,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,20,21,95,NA,NA,115,6.29,39.9,88,72,140,90,140,"N",140,3.98,77,3,1,-3,"Intrathecal treatment",2
-"003-144",49,"M",25.9515570934256,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,12,NA,"Superficial/other","N","I",2,37,20,21,95,NA,NA,180,6.17,42.9,76,72,120,80,120,"N",137,3.22,98,3,0,-3,"Sham procedure",2
-"003-145",32,"M",21.3039485766759,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,8,96,"Superficial/other","N","II",1,37.2,22,21,96,NA,NA,275,7.96,39,100,96,140,80,140,"N",139,3.87,85,0,0,-4,"Intrathecal treatment",1
-"003-146",68,"M",21.5138585105239,2,"Y",12,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,NA,168,"Superficial/other","N","II",2,37,20,21,95,NA,NA,377,12.3,36,76,64,120,80,120,"N",137,3.76,119,5,1,-3,"Intrathecal treatment",3
-"003-147",39,"M",22.3081499107674,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,NA,"Superficial/other","N","I",1,37.6,20,21,98,NA,NA,338,11.5,39.4,86,72,120,80,120,"N",138,3.33,78,1,0,-5,"Intrathecal treatment",5
-"003-148",64,"M",31.2394143550755,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","III",1,37,24,21,98,NA,NA,425,13.6,42,106,92,130,80,130,"N",142,3.98,95,3,0,-4,"Sham procedure",3
-"003-149",33,"M",25.390625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,38,20,21,97,NA,NA,214,7.3,41.4,100,92,130,80,130,"N",140,3.6,92,0,0,-6,"Intrathecal treatment",5
-"003-150",39,"M",19.0039083509627,1,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,72,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,309,6.88,42.8,92,76,120,80,120,"N",135,3.81,86,0,0,3,"Intrathecal treatment",1
-"003-151",55,"M",22.77318640955,2,"Y",24,4,NA,"N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,283,6.44,53,96,72,150,100,150,"N",137,3.83,81,7,0,2,"Sham procedure",2
-"003-152",60,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",2,37.5,23,21,96,NA,NA,256,9.13,42.7,84,64,130,90,130,"N",135,3.56,80,3,0,-2,"Sham procedure",4
-"003-153",74,"F",22.2222222222222,2,"Y",57,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,38,24,40,94,NA,NA,294,6.37,37.8,104,72,150,80,150,"N",145,3,70,6,1,13,"Sham procedure",3
-"003-154",75,"M",23.7812128418549,2,"Y",31,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",6,NA,120,"Superficial/other","N","II",3,37.6,20,21,97,NA,NA,411,13.87,38.3,92,68,150,90,150,"N",137,3.84,87,8,0,8,"Sham procedure",5
-"003-155",36,"M",22.2222222222222,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,9,NA,"Superficial/other","N","I",1,37.4,20,21,94,NA,NA,312,10.59,49.6,92,80,120,90,120,"N",139,3.38,80,2,0,0,"Intrathecal treatment",5
-"003-156",44,"M",23.9512265931195,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,259,6.03,37.8,84,64,120,80,120,"N",139,3.42,81,1,0,-5,"Sham procedure",5
-"003-157",46,"M",22.038567493113,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,24,"Superficial/other","N","II",1,37,20,21,96,NA,NA,260,12.8,47.6,100,92,140,90,140,"N",139,3.47,80,4,0,-3,"Intrathecal treatment",4
-"003-158",40,"M",21.875,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,36,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,323,19,48.3,90,70,130,80,130,"N",143,4.02,75,2,0,-5,"Sham procedure",3
-"003-159",42,"M",19.4674012855831,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,3,120,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,246,8.68,38,92,80,130,70,110,"N",134,3.68,75,0,0,-6,"Sham procedure",3
-"003-160",34,"M",18.3654729109275,2,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","I",1,37.4,20,21,96,NA,NA,182,9.05,39.9,82,68,120,80,120,"N",139,3.6,67,0,0,0,"Sham procedure",2
-"003-161",56,"M",13.840830449827,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,7,72,"Superficial/other","N","II",1,38,18,21,95,NA,NA,176,4.51,39.2,104,68,130,80,130,"N",139,3.45,55,4,0,-5,"Intrathecal treatment",2
-"003-162",57,"M",20.307412205455,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,96,"Superficial/other","N","I",1,37.4,18,21,96,NA,NA,274,10.3,44.6,82,72,150,90,150,"N",142,3.53,97,5,0,-1,"Sham procedure",2
-"003-163",54,"M",25.390625,2,"Y",15,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.5,26,40,92,111,7.4,321,7.63,44.5,80,64,160,120,160,"N",134,3.45,96,7,1,2,"Sham procedure",2
-"003-164",53,"M",22.038567493113,1,"Y",36,4,"Y","N","N",NA,NA,"N","N","N",NA,"N","N","N","N","N","N",NA,"Y","N","N","N","Y","N","N",3,4,24,"Superficial/other","N","III",3,39.5,25,40,90,NA,NA,220,20.8,27.3,156,84,190,100,190,"N",141,3.95,698,20,5,14,"Sham procedure",2
-"003-165",36,"M",20.9571711629325,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,278,7.46,41.3,76,68,120,80,120,"N",139,3.37,82,1,0,0,"Intrathecal treatment",3
-"003-166",32,"M",21.484375,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.5,26,21,94,NA,NA,309,7.23,42,54,48,120,80,120,"N",141,3.22,66,5,0,3,"Intrathecal treatment",1
-"003-167",33,"M",24.9770431588613,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,224,9.56,42.9,100,84,150,100,150,"N",136,3.66,109,2,0,-2,"Intrathecal treatment",1
-"003-168",46,"M",21.5138585105239,2,"Y",24,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.4,24,21,97,NA,NA,182,12.05,46.9,110,92,160,100,160,"N",140,4.89,85,7,0,8,"Intrathecal treatment",1
-"003-169",40,"M",24.21875,1,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,272,14.48,45,86,80,160,80,160,"N",136,3.77,64,0,0,7,"Intrathecal treatment",1
-"003-170",36,"M",20.9366391184573,1,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,21,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,329,5.28,40.8,70,44,150,100,150,"N",136,3.35,86,3,0,-2,"Sham procedure",3
-"003-171",48,"M",20.3125,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",NA,"N","N","N","N",2,NA,24,"Superficial/other","N","II",3,37,20,21,96,NA,NA,257,9.17,37.9,96,68,110,80,110,"N",134,3.55,83,2,0,5,"Sham procedure",1
-"003-172",39,"M",16.9370318792578,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37.5,20,21,98,NA,NA,270,14.66,43.9,76,66,130,80,130,"N",141,3.86,74,0,0,-2,"Sham procedure",2
-"003-173",49,"M",20.8116545265349,2,"Y",15,4,NA,NA,"N","N","Y","N","Y","N",NA,"N","N","N","N","N","N",NA,"N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",3,37,24,21,96,NA,NA,401,6.74,40.4,96,80,120,90,120,"N",139,5.14,62,2,0,-1,"Sham procedure",3
-"003-174",24,"M",21.3382106386222,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","II",2,37.3,24,21,95,NA,NA,310,17.22,41.9,98,76,120,90,120,"N",137,3.51,94,1,0,3,"Intrathecal treatment",4
-"003-175",40,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,20,21,97,NA,NA,233,7.96,42.8,64,48,140,90,140,"N",143,3.33,63,3,0,-3,"Sham procedure",4
-"003-176",37,"M",23.8751147842057,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","III",1,38,24,30,95,143,7.442,295,8.63,42.9,104,72,140,90,140,"N",141,4.37,89,0,0,-2,"Intrathecal treatment",3
-"003-177",48,"M",20.8116545265349,2,"Y",32,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","Y","III",2,37.4,24,21,94,NA,NA,278,17.1,42.9,96,88,140,80,140,"N",139,5,137,5,1,9,"Intrathecal treatment",4
-"003-178",43,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,331,10.03,44.6,96,76,140,100,140,"N",138,3.7,85,2,0,5,"Intrathecal treatment",2
-"003-179",26,"M",18.3391003460208,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",1,37.5,20,21,98,NA,NA,274,8.16,41.8,74,52,100,70,100,"N",134,4.17,71,0,0,-5,"Sham procedure",3
-"003-180",50,"M",23.4375,2,"Y",4,2,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,38,24,21,96,NA,NA,256,9.07,44,110,96,140,80,140,"N",146,3.21,88,5,0,1,"Intrathecal treatment",4
-"003-181",34,"M",20.8209399167162,2,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",2,37,20,21,98,NA,NA,441,12.88,42,92,86,140,90,140,"N",132,3.61,75,0,0,5,"Intrathecal treatment",3
-"003-182",63,"M",20.5693296602388,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,24,"Superficial/other","Y","III",1,37.6,24,30,97,89,7.534,357,5.1,29.4,88,76,130,80,130,"N",137,2.63,56,8,0,-1,"Intrathecal treatment",4
-"003-183",26,"M",17.3010380622837,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,187,8.68,44.6,72,68,120,80,120,"N",142,3.68,66,0,0,-5,"Sham procedure",5
-"003-184",51,"M",20.3244382551093,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,225,8.87,43.2,92,72,120,80,120,"N",138,3.5,93,2,0,0,"Intrathecal treatment",1
-"003-185",62,"M",19.0039083509627,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N",3,10,NA,"Superficial/other","N","I",3,37.4,20,21,96,NA,NA,146,64.1,37.6,88,72,140,80,140,"N",137,3.78,61,7,1,2,"Intrathecal treatment",5
-"003-186",62,"F",18.8775510204082,1,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,39,20,30,99,129,7.617,250,7.3,38,96,72,110,70,110,"N",144,3.86,60,9,0,-2,"Sham procedure",4
-"003-187",43,"M",17.89802289282,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,17,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,122,4.04,35.5,96,88,130,80,130,"N",138,3.14,54,1,1,-2,"Sham procedure",5
-"003-188",29,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",6,3,72,"Superficial/other","N","II",1,37,20,21,95,NA,NA,380,8.03,39,88,60,150,70,150,"N",137,3.92,69,5,0,-2,"Sham procedure",1
-"003-189",57,"M",20.2847985719502,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37,22,21,98,NA,NA,294,6.25,41,104,52,140,90,140,"N",138,3.6,79,3,0,-2,"Sham procedure",1
-"003-190",64,"M",20.0796012764889,2,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",2,37.3,20,21,97,NA,NA,230,7.85,42.9,72,68,120,80,120,"N",139,3.8,88,3,0,-3,"Sham procedure",1
-"003-191",65,"M",16.6530612244898,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,197,7.23,48.6,116,88,120,90,120,"N",139,3.4,63,14,0,5,"Intrathecal treatment",2
-"003-192",30,"M",17.5770686857761,1,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N",2,5,24,"Superficial/other","N","II",2,38.5,24,30,97,98,7.474,370,12.2,40.7,148,100,160,110,160,"N",140,3.2,76,7,0,11,"Intrathecal treatment",2
-"003-193",47,"M",20.2020202020202,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.4,20,21,95,NA,NA,173,7.02,46.1,80,72,130,80,130,"N",138,3.81,64,3,0,-3,"Sham procedure",4
-"003-194",57,"M",22.038567493113,2,"Y",7,4,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",9,6,96,"Superficial/other","N","II",2,37,20,21,98,NA,NA,227,6.29,45.1,80,60,140,100,140,"N",134,3.9,63,10,0,-1,"Sham procedure",1
-"003-195",45,"M",17.3061224489796,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,30,48,"Superficial/other","N","II",2,37.4,23,21,96,NA,NA,327,7.32,37.6,98,80,140,90,140,"N",140,3.27,67,8,0,0,"Intrathecal treatment",2
-"003-196",41,"M",26.171875,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,10,NA,"Superficial/other","N","I",2,37.1,22,21,96,NA,NA,373,5.86,42.2,86,80,140,90,140,"N",140,3.96,94,5,0,0,"Intrathecal treatment",1
-"003-197",60,"M",18.8271110398974,2,"Y",16,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,261,9.67,43,132,88,200,100,200,"N",141,4.03,89,8,0,6,"Sham procedure",3
-"003-198",54,"M",18.7304890738814,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","Y","III",1,39,30,40,98,127,7.415,401,11.5,32.9,142,88,140,80,140,"N",139,3.37,45,12,1,9,"Intrathecal treatment",3
-"003-199",50,"M",19.9432125473229,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,274,8.92,40.7,72,48,120,80,120,"N",145,3.99,81,2,0,-5,"Intrathecal treatment",1
-"003-200",43,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,285,6.73,42.9,72,60,120,80,120,"N",136,3.87,69,0,0,-6,"Sham procedure",4
-"003-201",42,"M",17.4747174301011,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","II",1,37,20,21,99,NA,NA,325,15.5,43,88,84,120,70,120,"N",142,3.68,62,1,0,0,"Sham procedure",3
-"003-202",56,"M",23.8751147842057,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,38.6,24,30,96,NA,NA,289,14.9,46,96,88,130,90,130,"N",140,3.83,88,10,0,0,"Intrathecal treatment",5
-"003-203",35,"M",26.9274376417234,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N",2,2,24,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,218,10.9,43.2,88,74,130,90,130,"N",143,3.72,84,0,0,5,"Intrathecal treatment",2
-"003-204",67,"M",28.2828282828283,2,"Y",36,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",3,37.6,30,21,95,NA,NA,290,8.94,42.8,102,82,160,100,160,"N",134,3.71,74,8,0,10,"Sham procedure",4
-"003-205",46,"M",24.609375,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,NA,240,"Superficial/other","N","II",1,37,22,21,95,NA,NA,226,8.7,40.2,72,56,140,80,140,"N",134,3.85,75,2,0,-4,"Sham procedure",2
-"003-206",19,"M",23.1404958677686,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,210,9.05,42,84,68,120,70,120,"N",141,3.89,91,0,0,-5,"Intrathecal treatment",2
-"003-207",53,"M",16.8962350780533,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,401,9.43,38,72,68,100,60,100,"N",141,3.78,72,2,0,0,"Sham procedure",1
-"003-208",54,"M",23.566632231405,1,"Y",65,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,6,48,"Superficial/other","N","III",2,39.4,32,40,90,NA,NA,287,6.38,42.1,112,70,160,80,160,"N",140,3.19,58,9,1,15,"Sham procedure",1
-"003-209",19,"M",22.6799524092802,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37.5,22,21,98,NA,NA,386,8.19,46.3,92,52,130,80,130,"N",140,3.3,69,2,0,-5,"Intrathecal treatment",3
-"003-210",37,"M",21.2305720237141,1,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,30,99,144,7.48,248,11.4,43.2,104,80,120,80,120,"N",139,3.65,82,0,0,1,"Intrathecal treatment",5
-"003-211",56,"M",25.3443526170799,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,174,5.29,40.8,70,52,120,80,120,"N",138,4.48,81,3,0,-5,"Sham procedure",5
-"003-212",69,"F",22.2222222222222,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,96,"Superficial/other","N","II",1,39,22,21,96,NA,NA,197,8.28,40.5,88,68,140,80,140,"N",142,3.71,74,8,0,0,"Intrathecal treatment",1
-"003-213",48,"M",22.65625,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.5,20,21,94,NA,NA,344,6.74,43.9,96,84,140,90,140,"N",142,3.7,66,2,0,2,"Intrathecal treatment",4
-"003-214",42,"M",22.4913494809689,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,96,"Superficial/other","N","I",1,37.4,20,21,97,NA,NA,217,8.67,41.6,80,68,100,60,100,"N",141,3.6,87,0,0,0,"Sham procedure",2
-"003-215",27,"M",21.2585034013605,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,246,10.2,40,84,72,120,80,120,"N",136,3.65,65,0,0,-5,"Sham procedure",3
-"003-216",39,"M",19.2233756247597,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",3,37.4,20,21,97,NA,NA,187,10.8,38.5,80,76,120,80,120,"N",143,3.26,111,1,1,-1,"Intrathecal treatment",3
-"003-217",26,"M",18.4425458240807,1,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","III",2,39.5,19,30,92,NA,NA,313,8.8,44.4,116,76,120,80,120,"N",137,3.58,88,5,0,5,"Sham procedure",2
-"003-218",42,"M",31.1418685121107,2,"Y",6,2,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",1,9,24,"Superficial/other","N","II",2,38.5,22,21,97,NA,NA,335,9.71,43.2,100,88,140,80,140,"N",145,3.67,86,6,0,5,"Intrathecal treatment",5
-"003-219",46,"M",24.21875,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",1,37,20,21,96,NA,NA,292,7.46,46,88,84,140,90,140,"N",140,3.71,63,3,0,-3,"Intrathecal treatment",4
-"003-220",49,"M",23.2334561768947,1,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37,18,21,97,NA,NA,180,7.39,41.1,92,90,110,60,100,"N",139,3.36,73,3,0,-2,"Sham procedure",1
-"003-221",41,"M",18.1312194299207,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,12,"Superficial/other","N","II",1,37.4,26,21,95,NA,NA,339,6.97,42.8,100,88,130,80,130,"N",137,3.95,59,1,0,0,"Intrathecal treatment",4
-"003-222",68,"F",20,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","III",1,37.6,30,40,80,170,7.492,368,11,40.4,96,80,140,80,140,"N",138,3.07,68,7,2,-3,"Sham procedure",3
-"003-223",55,"M",20.3125,2,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,8,48,"Superficial/other","N","II",3,38.4,20,21,98,NA,NA,637,11.7,30.2,94,86,140,90,140,"N",139,3.81,62,8,0,7,"Sham procedure",5
-"003-224",37,"M",19.8176773682124,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,288,8.93,40.4,88,70,130,90,130,"N",142,3.56,63,0,0,-5,"Intrathecal treatment",5
-"003-225",52,"M",20.8116545265349,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,15,96,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,263,8.69,44,96,72,120,80,120,"N",143,3.6,86,2,0,-5,"Sham procedure",4
-"003-226",65,"F",21.3333333333333,2,"Y",11,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,8,48,"Superficial/other","N","II",2,37.4,16,21,94,NA,NA,364,6.43,35,84,76,130,80,130,"N",134,3.92,42,7,0,-2,"Sham procedure",5
-"003-227",47,"M",23.828125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","N","II",1,37.6,22,21,95,NA,NA,328,8.18,40.2,80,68,130,70,130,"N",141,3.3,74,3,0,0,"Intrathecal treatment",1
-"003-228",52,"M",27.0551508844953,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.6,24,21,97,NA,NA,352,9.01,37.7,96,80,120,80,120,"N",145,3.44,87,3,0,0,"Intrathecal treatment",5
-"003-229",66,"M",17.0655567117586,1,"Y",10,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",2,38,22,21,96,NA,NA,217,7.91,37.4,100,80,140,80,140,"N",144,3.15,78,6,0,0,"Sham procedure",4
-"003-230",53,"M",20.8116545265349,2,"Y",46,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","III",2,37.4,24,30,95,NA,NA,279,19.8,41,90,76,140,80,140,"N",137,3.89,68,3,0,5,"Sham procedure",5
-"003-231",52,"M",26.953125,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,5,96,"Superficial/other","N","II",2,37,20,21,95,NA,NA,283,13.5,41.3,104,100,150,100,150,"N",135,3.51,81,4,0,2,"Intrathecal treatment",5
-"003-232",48,"M",21.484375,2,"Y",57,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,72,"Superficial/other","N","II",2,38.5,26,30,95,80,7.43,228,11,41.2,128,124,150,90,150,"N",139,4.16,70,8,0,4,"Sham procedure",5
-"003-233",49,"M",19.7210369679802,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","II",2,38,20,30,93,98,7.321,271,9.95,42.3,132,84,170,92,170,"N",139,4.35,77,8,0,6,"Sham procedure",3
-"003-234",43,"M",21.875,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,332,21.3,40,96,84,160,100,160,"N",132,3.66,107,4,0,7,"Intrathecal treatment",4
-"003-235",38,"M",25.390625,2,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,37,20,21,97,NA,NA,313,12.2,37.8,88,68,150,100,150,"N",141,4.1,136,4,1,7,"Intrathecal treatment",5
-"003-236",29,"M",19.1000918273646,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,120,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,203,5.65,42.8,84,64,120,70,120,"N",143,3.68,77,0,0,-6,"Intrathecal treatment",5
-"003-237",59,"M",13.5904499540863,1,"Y",24,4,"N","N","N",NA,"N","N","Y","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","N",4,NA,24,"Superficial/other","N","II",3,38,26,33,98,123,7.351,220,17.2,41.5,124,92,180,40,70,"N",150,3.32,218,15,4,8,"Sham procedure",4
-"003-238",48,"M",34.765625,2,"Y",31,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",2,37,20,21,96,NA,NA,274,5.83,51.8,88,64,130,80,130,"N",144,4.32,96,4,0,-2,"Sham procedure",4
-"003-239",35,"M",21.2278876170656,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,23,144,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,246,6.57,42.6,72,62,120,80,120,"N",139,3.93,68,0,0,-6,"Intrathecal treatment",3
-"003-240",39,"M",27.34375,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,48,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,184,6.83,44.3,100,88,120,60,120,"N",136,3.39,88,1,0,-3,"Intrathecal treatment",3
-"003-241",19,"M",18.491124260355,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,16,24,"Superficial/other","N","II",1,37.4,26,21,98,NA,NA,380,16.8,47.9,86,74,130,90,130,"N",140,3.27,74,4,0,-5,"Intrathecal treatment",4
-"003-242",42,"M",20.2812330989724,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,9,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,188,14.4,40.1,96,72,100,60,100,"N",139,2.9,71,2,0,-6,"Intrathecal treatment",1
-"003-243",61,"M",19.921875,2,"Y",5,4,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,NA,288,"Superficial/other","N","II",1,37,20,21,95,NA,NA,315,6.67,40.4,96,72,150,90,150,"N",136,4.32,88,5,0,-2,"Sham procedure",4
-"003-244",53,"F",21.875,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,39,24,30,95,112,7.46,354,10.9,37.2,98,84,160,90,160,"N",138,4,60,7,0,11,"Intrathecal treatment",2
-"003-245",38,"M",25,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,9,168,"Superficial/other","N","II",2,38,22,21,98,NA,NA,205,7.09,38,100,68,130,80,130,"N",141,3.05,66,1,0,-3,"Intrathecal treatment",2
-"003-246",57,"M",19.4674012855831,1,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.6,24,30,97,NA,NA,347,10.9,47.9,92,76,160,100,160,"N",134,4.3,75,6,0,4,"Sham procedure",4
-"003-247",56,"F",22.8928199791883,2,"Y",11,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,3,48,"Superficial/other","N","II",2,37.5,21,21,97,NA,NA,281,6.02,43.4,72,64,160,100,160,"N",134,4.33,51,7,0,2,"Sham procedure",1
-"003-248",62,"M",17.0205141986921,1,"Y",37,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,326,9.82,46.4,74,68,120,80,120,"N",134,4.26,58,4,0,3,"Sham procedure",1
-"003-249",36,"M",22.5981404958678,2,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,308,9.1,44.8,116,110,140,90,140,"N",139,3.6,80,2,0,4,"Sham procedure",2
-"003-250",46,"M",20.2020202020202,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,120,"Superficial/other","N","III",1,38.4,22,40,88,130,7.48,252,8.67,36.7,96,76,140,80,140,"N",142,3.1,62,3,2,-4,"Intrathecal treatment",4
-"003-251",30,"M",22.265625,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,224,10.4,46.8,86,60,110,70,110,"N",137,3.48,63,2,0,-2,"Sham procedure",5
-"003-252",42,"M",23.1833910034602,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",2,37.7,20,35,88,108,7.38,246,7.45,49.9,140,84,150,100,150,"N",136,4.25,74,6,1,11,"Intrathecal treatment",3
-"003-253",49,"M",21.8299521999323,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,265,10.1,45.14,124,75,160,90,160,"N",139,3.76,84,7,0,5,"Intrathecal treatment",1
-"003-255",42,"M",17.0068027210884,2,"Y",3,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,37.5,20,21,96,NA,NA,205,11.2,46.4,88,78,120,80,120,"N",135,4.04,78,2,0,3,"Sham procedure",3
-"003-256",48,"M",19.53125,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N",NA,"N","Y","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,315,7.82,39.4,92,86,130,90,130,"N",133,3.8,75,4,0,2,"Intrathecal treatment",3
-"003-257",59,"F",17.89802289282,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",1,38,22,30,96,150,7.51,335,6.56,34.4,74,64,140,80,140,"N",134,3.6,57,1,0,-6,"Intrathecal treatment",2
-"003-258",34,"M",19.53125,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,5,72,"Superficial/other","N","II",1,37.7,22,21,95,NA,NA,317,11.8,47.2,84,72,120,80,120,"N",140,3.82,72,2,0,2,"Sham procedure",4
-"003-259",41,"M",20.2020202020202,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,21,96,NA,NA,231,10.9,47.2,86,70,140,80,140,"N",143,3.42,83,0,0,-5,"Sham procedure",1
-"003-260",23,"M",22.4913494809689,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,72,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,257,13.3,42.4,76,60,110,70,110,"N",139,3.66,78,2,0,-3,"Intrathecal treatment",3
-"003-261",48,"M",20.9366391184573,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",21,NA,408,"Superficial/other","N","II",2,37,20,21,97,NA,NA,210,6.42,41.4,92,84,110,60,100,"N",137,3.76,78,5,0,7,"Sham procedure",5
-"003-262",46,"M",21.3039485766759,1,"Y",49,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.3,22,30,94,68,7.45,179,8.85,44.6,88,72,200,120,200,"N",141,3.87,69,8,1,4,"Intrathecal treatment",5
-"003-263",51,"M",16.796875,2,"Y",34,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Superficial/other","N","II",2,37.6,26,30,98,107,7.32,456,15.5,40.7,108,88,100,50,80,"N",144,3.87,NA,3,0,4,"Sham procedure",5
-"003-264",57,"M",20.1955782312925,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,38,22,30,96,103,7.33,183,8.05,40,96,88,150,80,150,"N",144,3.64,77,0,0,-3,"Intrathecal treatment",2
-"003-265",28,"M",19.4330132601738,2,"Y",17,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,48,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,247,7,42.9,88,72,130,80,130,"N",138,3.6,77,8,0,4,"Intrathecal treatment",5
-"003-266",67,"M",24.092970521542,2,"Y",13,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",3,37,20,21,98,NA,NA,232,7.71,40.3,90,74,190,105,190,"N",137,3.7,56,6,0,-2,"Sham procedure",5
-"003-267",43,"M",16.796875,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,21,24,"Superficial/other","N","II",2,37,18,21,96,NA,NA,317,8.22,37.2,96,72,120,70,110,"N",140,3.21,57,8,0,3,"Intrathecal treatment",1
-"003-268",59,"M",17.2635445362718,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,72,"Superficial/other","N","II",2,37,22,21,96,NA,NA,398,8.5,37.6,82,68,120,80,120,"N",135,3.7,88,8,1,8,"Sham procedure",5
-"003-269",42,"M",23.6244474927602,2,"Y",NA,3,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,12,"Superficial/other","N","II",2,37.4,20,40,92,79,7.24,303,9.58,47.3,110,92,160,90,160,"N",140,4.15,77,5,0,3,"Sham procedure",1
-"003-270",57,"M",19.53125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","Y","II",1,37,20,21,95,NA,NA,350,8.97,40.1,76,60,160,100,160,"N",141,3.58,67,15,1,4,"Sham procedure",2
-"003-271",66,"F",26.171875,2,"Y",18,2,"Y","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,313,19.1,33.1,100,92,180,100,180,"N",128,4,118,5,0,1,"Intrathecal treatment",1
-"003-272",23,"M",22.1002895900015,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,21,48,"Superficial/other","N","II",1,38.2,20,30,99,144,7.46,305,11.6,44.9,120,76,140,100,140,"N",143,3.2,108,NA,NA,NA,"Intrathecal treatment",1
diff --git a/group_data.csv b/group_data.csv
deleted file mode 100644
index 41de05b..0000000
--- a/group_data.csv
+++ /dev/null
@@ -1,89 +0,0 @@
-ctcaename,class
-Nausea,Digestive
-Back pain,Musculoskeletal
-Viral infection,Infectious
-Headache,Neurological
-Phlebitis,Cardiovascular
-Gastritis,Digestive
-Constipation,Digestive
-Hemorrhoids,Digestive
-Skin allergy,Allergic
-Pharyngitis,Respiratory
-Hospital acquired pneumonia,Infectious
-UTI,Infectious
-Fever,General
-Neuralgia,Neurological
-Hiccup,Digestive
-Myocardial ischaemia,Cardiovascular
-Oral infection,Infectious
-Upper gastrointestinal hemorrhage,Digestive
-Otitis,Infectious
-Atrial thrombosis,Cardiovascular
-Spinal disc herniation,Musculoskeletal
-Sinusitis,Respiratory
-Facial nerve disorder,Neurological
-Urinary retention,Urinary
-Hyperglycaemia,Metabolic
-Chills,General
-Arthritis,Musculoskeletal
-Aspiration pneumonia,Respiratory
-Ventilator associated pneumonia,Respiratory
-arthralgia,Musculoskeletal
-Tracheal hemorrhage,Respiratory
-Hypotension,Cardiovascular
-Nose bleed,Respiratory
-Wound infection,Infectious
-Allergy,Allergic
-Hyponatremia,Metabolic
-Cellulitis,Infectious
-Blood stream infection,Infectious
-Hypokalemia,Metabolic
-Hypocalcemia,Metabolic
-Torticolis,Musculoskeletal
-Myocarditis,Cardiovascular
-Insomnia,Neurological
-Conjunctivitis,Infectious
-Cardiac arrest,Cardiovascular
-Voice alteration,Neurological
-Necrotic wound,Infectious
-Hypomagnesemia,Metabolic
-Hematuria,Urinary
-Subcutaneous emphysema,Respiratory
-Heat stroke,General
-Atrial fibrillation,Cardiovascular
-Dizziness,Neurological
-Failed extubation,Respiratory
-Appendicitis,Digestive
-Deep vein thrombosis,Cardiovascular
-Acute renal failure,Urinary
-Wound bleed,Digestive
-Arthralgia,Musculoskeletal
-Anemia,Hematologic
-Bruising,Hematologic
-Pressure ulcer,Skin
-Tracheal stenosis,Respiratory
-Upper respiratory infection,Respiratory
-Recurrent tetanus,Neurological
-Gastrointestinal disorder,Digestive
-Chronic venous insufficiency,Cardiovascular
-Pneumothorax,Respiratory
-Hyperpyrexia,General
-Arterial thromboembolism,Cardiovascular
-Hypernatremia,Metabolic
-Creatinine increase,Metabolic
-Hypertension,Cardiovascular
-Dysphagia,Digestive
-Cerebral hemorrhage,Neurological
-Cholangitis,Digestive
-Pleural abscess,Respiratory
-Pyloric stenosis,Cardiovascular
-Sinus bradycardia,Cardiovascular
-Pruritus,Allergic
-Myalgia,Musculoskeletal
-Adrenal insufficiency,Endocrine
-Rhabdomyolysis,Musculoskeletal
-Platelet count decreased,Hematologic
-"Low weight, muscle wasting",General
-Postoperative hemorrhage,Cardiovascular
-Hypoalbuminemia,Metabolic
-Cerebral infarction,Neurological

From 0b2547d28cd16a4a5c4981b8f2baf0dc669ec0af Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Tue, 2 Jul 2024 11:57:20 +0700
Subject: [PATCH 113/193] delet wrong data

---
 DESCRIPTION           | 3 ++-
 NAMESPACE             | 1 +
 man/gg_ajsurvplot2.Rd | 2 +-
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 77d9244..848391d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -28,7 +28,8 @@ Encoding: UTF-8
 LazyData: true
 Depends: 
     data.table,
-    dplyr
+    dplyr,
+    R (>= 2.10)
 Imports:
     stringi,
     lubridate,
diff --git a/NAMESPACE b/NAMESPACE
index 2d098a7..167e3e7 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -76,6 +76,7 @@ export(subgroup_effect)
 export(summarise_f)
 export(tidy_survfit2)
 import(dplyr)
+import(ggplot2)
 import(survival)
 import(tidyr)
 importFrom(data.table,":=")
diff --git a/man/gg_ajsurvplot2.Rd b/man/gg_ajsurvplot2.Rd
index ebe4020..cdb3d4c 100644
--- a/man/gg_ajsurvplot2.Rd
+++ b/man/gg_ajsurvplot2.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/gg_ajsurvplot.R
 \name{gg_ajsurvplot2}
 \alias{gg_ajsurvplot2}
-\title{Plot 2 Aalen-Johansen curve with ggplot for competing risks}
+\title{Plot 2 Aalen-Johansen curves with ggplot for competing risks}
 \usage{
 gg_ajsurvplot2(
   formula,

From c654960200ba16d8a23fb27579282c92072fe7c8 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Tue, 2 Jul 2024 12:01:11 +0700
Subject: [PATCH 114/193] Delete ae_data.csv

---
 ae_data.csv | 535 ----------------------------------------------------
 1 file changed, 535 deletions(-)
 delete mode 100644 ae_data.csv

diff --git a/ae_data.csv b/ae_data.csv
deleted file mode 100644
index 24f1471..0000000
--- a/ae_data.csv
+++ /dev/null
@@ -1,535 +0,0 @@
-"usubjid","ctcaename","ctcaegrade","original_ctcaegrade","posrelunrel","unexp"
-"003-001","Nausea","I","I","POSREL","N"
-"003-003","Back pain","I","I","POSREL","N"
-"003-004","Viral infection","I","NA","UNREL","Y"
-"003-006","Headache","I","I","POSREL","N"
-"003-007","Phlebitis","I","I","UNREL","N"
-"003-029","Gastritis","II","II","UNREL","Y"
-"003-034","Constipation","II","II","UNREL","N"
-"003-035","Constipation","II","II","UNREL","N"
-"003-044","Gastritis","II","NA","UNREL","Y"
-"003-073","Hemorrhoids","I","I","UNREL","N"
-"003-087","Skin allergy","II","NA","REL","N"
-"003-095","Phlebitis","I","I","UNREL","N"
-"003-105","pharyngitis","II","II","UNREL","Y"
-"003-109","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-122","Headache","I","I","POSREL","N"
-"003-135","Phlebitis","I","I","UNREL","N"
-"003-141","Headache","I","I","POSREL","N"
-"003-144","UTI","II","NA","UNREL","N"
-"003-150","Headache","I","I","POSREL","N"
-"003-167","Headache","I","I","POSREL","N"
-"003-184","Hemorrhoids","I","I","UNREL","N"
-"003-242","Fever","I","I","POSREL","N"
-"003-244","Fever","I","I","POSREL","N"
-"003-261","Skin allergy","II","NA","POSREL","N"
-"003-265","Constipation","II","II","UNREL","N"
-"003-004","Neuralgia","II","II","UNREL","Y"
-"003-006","Hiccup","II","II","UNREL","Y"
-"003-007","Constipation","II","II","UNREL","N"
-"003-014","Skin allergy","II","NA","POSREL","N"
-"003-015","Constipation","II","II","UNREL","N"
-"003-023","Constipation","II","II","UNREL","N"
-"003-027","Myocardial ischaemia","II","NA","UNREL","Y"
-"003-036","UTI","II","NA","UNREL","N"
-"003-037","Oral infection","II","NA","UNREL","Y"
-"003-072","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-074","Skin allergy","II","NA","POSREL","N"
-"003-076","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-081","Otitis","II","NA","UNREL","Y"
-"003-084","UTI","II","NA","UNREL","N"
-"003-094","Headache","I","I","REL","N"
-"003-101","UTI","II","NA","UNREL","N"
-"003-103","UTI","II","NA","UNREL","N"
-"003-111","UTI","II","NA","UNREL","N"
-"003-118","Atrial thrombosis","II","NA","POSREL","N"
-"003-136","Spinal disc herniation","NA","NA","UNREL","Y"
-"003-141","Fever","I","I","POSREL","N"
-"003-159","Phlebitis","I","I","UNREL","N"
-"003-212","Fever","I","I","POSREL","N"
-"003-242","Headache","I","I","POSREL","N"
-"003-255","Sinusitis","II","II","UNREL","Y"
-"003-258","Oral infection","II","NA","UNREL","Y"
-"003-261","facial nerve disorder","II","II","UNREL","N"
-"003-007","Constipation","II","II","UNREL","N"
-"003-009","Urinary retention","II","II","UNREL","N"
-"003-027","UTI","II","NA","UNREL","N"
-"003-036","Constipation","II","II","UNREL","N"
-"003-038","Upper gastrointestinal hemorrhage","II","II","UNREL","Y"
-"003-046","Phlebitis","I","I","UNREL","N"
-"003-074","Hyperglycaemia","II","II","UNREL","N"
-"003-081","Constipation","II","II","UNREL","N"
-"003-094","Chills","I","I","REL","N"
-"003-101","Arthritis","II","II","UNREL","Y"
-"003-104","Skin allergy","II","NA","POSREL","N"
-"003-127","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-146","Aspiration pneumonia","II","NA","UNREL","N"
-"003-173","UTI","II","NA","UNREL","N"
-"003-255","Viral infection","II","NA","UNREL","Y"
-"003-258","Constipation","II","II","UNREL","N"
-"003-267","Skin allergy","II","NA","POSREL","N"
-"003-001","Constipation","II","II","UNREL","N"
-"003-005","UTI","II","NA","UNREL","N"
-"003-007","Arthritis","II","II","UNREL","Y"
-"003-017","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-019","Arthralgia","II","II","UNREL","Y"
-"003-028","Tracheal hemorrhage","II","II","UNREL","N"
-"003-038","UTI","II","NA","UNREL","N"
-"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-053","Hypotension","III","III","UNREL","N"
-"003-065","Nose bleed","II","NA","UNREL","N"
-"003-067","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-090","Wound infection","II","II","UNREL","N"
-"003-094","Fever","I","I","REL","N"
-"003-116","UTI","II","NA","UNREL","N"
-"003-117","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-123","Allergy","II","NA","POSREL","N"
-"003-127","UTI","II","NA","UNREL","N"
-"003-131","Hyponatremia","II","II","UNREL","N"
-"003-146","Cellulitis","I","I","UNREL","N"
-"003-164","Aspiration pneumonia","II","NA","UNREL","N"
-"003-168","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-172","Hyponatremia","II","II","UNREL","N"
-"003-173","Blood stream infection","II","NA","UNREL","N"
-"003-174","Otitis","II","NA","UNREL","Y"
-"003-176","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-177","Nose bleed","II","NA","UNREL","N"
-"003-178","Hypokalemia","II","II","UNREL","N"
-"003-179","Hypocalcemia","III","III","UNREL","N"
-"003-180","Hypokalemia","II","II","UNREL","N"
-"003-197","Skin allergy","II","NA","POSREL","N"
-"003-199","Torticolis","II","NA","UNREL","Y"
-"003-201","Hypokalemia","III","III","UNREL","N"
-"003-210","Tracheal hemorrhage","II","II","UNREL","N"
-"003-223","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-228","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-230","Myocarditis","II","NA","UNREL","Y"
-"003-247","UTI","II","NA","UNREL","N"
-"003-253","Hypokalemia","II","II","UNREL","N"
-"003-255","Constipation","II","II","UNREL","N"
-"003-264","Hypokalemia","II","II","UNREL","N"
-"003-267","Gastritis","II","NA","UNREL","Y"
-"003-001","Insomnia","II","II","UNREL","Y"
-"003-005","Myocardial ischaemia","II","NA","UNREL","Y"
-"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-024","Arthritis","II","II","UNREL","Y"
-"003-028","Constipation","II","II","UNREL","N"
-"003-031","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-032","Constipation","II","II","UNREL","N"
-"003-037","UTI","II","NA","UNREL","N"
-"003-040","Conjunctivitis","II","II","UNREL","N"
-"003-042","Tracheal hemorrhage","II","II","UNREL","N"
-"003-043","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-047","UTI","II","NA","UNREL","N"
-"003-048","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-053","Aspiration pneumonia","II","NA","UNREL","N"
-"003-056","Cardiac arrest","IV","IV","UNREL","N"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-082","UTI","II","NA","UNREL","N"
-"003-083","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-090","Phlebitis","I","I","UNREL","N"
-"003-091","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-092","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-096","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-098","Tracheal hemorrhage","I","I","UNREL","Y"
-"003-099","UTI","II","NA","UNREL","N"
-"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-115","UTI","II","NA","UNREL","N"
-"003-116","Skin allergy","II","NA","POSREL","N"
-"003-119","Voice alteration","I","I","UNREL","N"
-"003-131","Hypokalemia","II","II","UNREL","N"
-"003-133","UTI","II","NA","UNREL","N"
-"003-137","UTI","II","NA","UNREL","N"
-"003-139","Blood stream infection","II","NA","UNREL","N"
-"003-146","Arthritis","II","II","UNREL","Y"
-"003-152","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-153","Cardiac arrest","IV","IV","UNREL","N"
-"003-154","UTI","II","NA","UNREL","N"
-"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-163","Constipation","II","II","UNREL","N"
-"003-171","Hypokalemia","II","II","UNREL","N"
-"003-172","Hypokalemia","II","II","UNREL","N"
-"003-173","Hypokalemia","II","II","UNREL","N"
-"003-174","Hyponatremia","II","II","UNREL","N"
-"003-176","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-178","Necrotic wound","II","NA","UNREL","N"
-"003-180","Hypomagnesemia","I","I","UNREL","N"
-"003-186","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-187","Hypokalemia","II","II","UNREL","N"
-"003-191","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-192","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-201","Hypocalcemia","III","III","UNREL","N"
-"003-202","UTI","II","NA","UNREL","N"
-"003-203","Headache","I","I","POSREL","N"
-"003-210","Hypokalemia","II","II","UNREL","N"
-"003-213","Hypokalemia","II","II","UNREL","N"
-"003-214","Hypokalemia","II","II","UNREL","N"
-"003-217","Hypokalemia","II","II","UNREL","N"
-"003-218","Tracheal hemorrhage","I","I","UNREL","N"
-"003-221","Hypokalemia","II","II","UNREL","N"
-"003-222","Hypokalemia","II","II","UNREL","N"
-"003-227","Hypokalemia","II","II","UNREL","N"
-"003-228","Hypokalemia","II","II","UNREL","N"
-"003-229","Hypocalcemia","III","III","UNREL","N"
-"003-232","Hypokalemia","III","III","UNREL","N"
-"003-233","Hypocalcemia","II","II","UNREL","N"
-"003-238","Hypokalemia","II","II","UNREL","N"
-"003-247","Constipation","II","II","UNREL","N"
-"003-249","Hematuria","II","II","UNREL","Y"
-"003-250","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-252","Hypokalemia","II","II","UNREL","N"
-"003-259","Subcutaneous emphysema","I","I","UNREL","N"
-"003-263","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-264","Hypocalcemia","III","III","UNREL","N"
-"003-268","Hypokalemia","II","II","UNREL","N"
-"003-269","Heat stroke","NA","NA","UNREL","N"
-"003-270","Hypokalemia","II","II","UNREL","N"
-"003-272","Hypomagnesemia","I","I","UNREL","N"
-"003-001","UTI","II","NA","UNREL","N"
-"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-013","Skin allergy","I","NA","POSREL","N"
-"003-018","UTI","II","NA","UNREL","N"
-"003-021","Constipation","II","II","UNREL","N"
-"003-024","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Myocardial ischaemia","IV","NA","UNREL","N"
-"003-026","Atrial fibrillation","II","II","UNREL","Y"
-"003-027","Constipation","II","II","UNREL","N"
-"003-028","Dizziness","II","II","UNREL","Y"
-"003-032","Tracheal hemorrhage","II","II","UNREL","N"
-"003-040","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-050","Failed extubation","NA","NA","UNREL","Y"
-"003-061","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-062","Blood stream infection","II","NA","UNREL","N"
-"003-063","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-068","Blood stream infection","II","NA","UNREL","N"
-"003-072","Appendicitis","III","III","UNREL","N"
-"003-077","UTI","II","NA","UNREL","N"
-"003-079","UTI","II","NA","UNREL","Y"
-"003-082","Constipation","II","II","UNREL","N"
-"003-083","UTI","II","NA","UNREL","N"
-"003-090","Conjunctivitis","II","II","UNREL","N"
-"003-091","Tracheal hemorrhage","II","II","UNREL","N"
-"003-092","Deep vein thrombosis","II","NA","POSREL","N"
-"003-098","Nose bleed","II","II","UNREL","Y"
-"003-107","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-115","Voice alteration","I","I","UNREL","N"
-"003-116","Voice alteration","I","I","UNREL","N"
-"003-128","Hemorrhoids","II","II","UNREL","N"
-"003-146","Arthritis","II","II","UNREL","N"
-"003-148","Blood stream infection","II","NA","UNREL","N"
-"003-152","Atrial fibrillation","II","II","UNREL","Y"
-"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-157","Blood stream infection","II","NA","UNREL","N"
-"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-164","Hypokalemia","II","II","UNREL","N"
-"003-168","Blood stream infection","II","NA","UNREL","N"
-"003-169","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-171","UTI","II","NA","UNREL","N"
-"003-174","Hypocalcemia","III","III","UNREL","N"
-"003-176","Hypocalcemia","III","III","UNREL","N"
-"003-177","Hyponatremia","II","II","UNREL","N"
-"003-178","Myocarditis","II","NA","UNREL","Y"
-"003-182","Hypokalemia","II","II","UNREL","N"
-"003-186","Hypokalemia","II","II","UNREL","N"
-"003-187","Hypotension","II","II","UNREL","N"
-"003-191","Hypokalemia","II","II","UNREL","N"
-"003-192","Hyponatremia","II","II","UNREL","N"
-"003-198","Hyponatremia","II","II","UNREL","N"
-"003-201","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-202","Blood stream infection","II","NA","UNREL","N"
-"003-204","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-208","Acute renal failure","II","NA","UNREL","N"
-"003-210","Wound bleed","II","NA","UNREL","N"
-"003-213","Hypocalcemia","III","III","UNREL","N"
-"003-214","Hypocalcemia","III","III","UNREL","N"
-"003-217","Hypomagnesemia","I","I","UNREL","N"
-"003-218","Nose bleed","II","II","UNREL","N"
-"003-221","Nose bleed","II","II","UNREL","N"
-"003-222","UTI","II","NA","UNREL","N"
-"003-223","Hypocalcemia","III","III","UNREL","N"
-"003-228","Hyponatremia","II","II","UNREL","N"
-"003-229","Hypomagnesemia","II","II","UNREL","N"
-"003-230","Hypokalemia","II","II","UNREL","N"
-"003-233","Hypokalemia","II","II","UNREL","N"
-"003-237","Hypokalemia","II","II","UNREL","N"
-"003-238","UTI","II","NA","UNREL","N"
-"003-246","Hypokalemia","II","II","UNREL","N"
-"003-248","Hematuria","II","II","UNREL","N"
-"003-250","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-252","Hypocalcemia","II","II","UNREL","N"
-"003-253","Skin allergy","II","NA","POSREL","N"
-"003-256","Hypokalemia","II","II","UNREL","N"
-"003-257","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-259","Constipation","II","II","UNREL","N"
-"003-262","Hypocalcemia","II","II","UNREL","N"
-"003-263","Aspiration pneumonia","II","NA","UNREL","N"
-"003-264","Hyponatremia","II","II","UNREL","N"
-"003-268","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-269","Hypocalcemia","II","II","UNREL","N"
-"003-270","Hypocalcemia","III","III","UNREL","N"
-"003-271","Hypokalemia","II","II","UNREL","N"
-"003-011","UTI","II","NA","UNREL","N"
-"003-018","arthralgia","II","II","UNREL","Y"
-"003-021","UTI","II","NA","UNREL","N"
-"003-026","Anemia","III","III","UNREL","Y"
-"003-032","Deep vein thrombosis","III","NA","POSREL","N"
-"003-037","Bruising","I","I","UNREL","Y"
-"003-040","UTI","II","NA","UNREL","N"
-"003-043","Otitis","II","NA","UNREL","Y"
-"003-050","Tracheal hemorrhage","III","III","UNREL","N"
-"003-057","Pressure ulcer","II","NA","UNREL","N"
-"003-061","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-062","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-063","Aspiration pneumonia","II","NA","UNREL","N"
-"003-068","arthralgia","II","II","UNREL","Y"
-"003-077","Phlebitis","I","I","UNREL","N"
-"003-082","Hyponatremia","II","II","UNREL","N"
-"003-090","Tracheal stenosis","III","III","UNREL","N"
-"003-097","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-112","Conjunctivitis","II","II","UNREL","Y"
-"003-115","Skin allergy","II","NA","REL","N"
-"003-128","Upper respiratory infection","II","II","UNREL","N"
-"003-153","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-154","Blood stream infection","II","NA","UNREL","N"
-"003-157","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-164","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-168","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-169","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-171","Recurrent tetanus","III","III","UNREL","N"
-"003-174","Gastritis","II","II","UNREL","N"
-"003-176","Constipation","II","II","UNREL","N"
-"003-177","Hypocalcemia","III","III","UNREL","N"
-"003-178","Wound bleed","II","II","UNREL","N"
-"003-180","Nose bleed","II","II","UNREL","N"
-"003-186","Hypokalemia","II","II","UNREL","N"
-"003-191","Hypomagnesemia","I","I","UNREL","N"
-"003-192","Hypocalcemia","III","III","UNREL","N"
-"003-198","Hypokalemia","II","II","UNREL","N"
-"003-202","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-204","Acute renal failure","II","NA","UNREL","N"
-"003-217","Hyponatremia","II","II","UNREL","N"
-"003-221","Hypocalcemia","III","III","UNREL","N"
-"003-223","Hypokalemia","II","II","UNREL","N"
-"003-227","UTI","II","NA","UNREL","N"
-"003-228","Upper respiratory infection","II","II","UNREL","N"
-"003-229","Gastritis","II","II","UNREL","N"
-"003-230","Hyponatremia","II","II","UNREL","N"
-"003-232","Hypocalcemia","II","II","UNREL","N"
-"003-233","Upper respiratory infection","II","II","UNREL","N"
-"003-237","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-238","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-244","Hypokalemia","II","II","UNREL","N"
-"003-246","Hyponatremia","I","I","UNREL","N"
-"003-248","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-249","Hypokalemia","II","II","UNREL","N"
-"003-250","UTI","II","NA","UNREL","N"
-"003-252","Constipation","II","II","UNREL","N"
-"003-253","Blood stream infection","II","NA","UNREL","N"
-"003-256","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-257","Hypokalemia","II","II","UNREL","N"
-"003-259","Hypocalcemia","III","III","UNREL","N"
-"003-262","Hypokalemia","II","II","UNREL","N"
-"003-266","Gastrointestinal disorder","I","I","UNREL","Y"
-"003-268","Skin allergy","II","NA","POSREL","N"
-"003-269","Blood stream infection","II","NA","UNREL","N"
-"003-270","UTI","II","NA","UNREL","N"
-"003-272","Hypocalcemia","III","III","UNREL","N"
-"003-001","Urinary retention","II","II","POSREL","Y"
-"003-009","UTI","II","NA","UNREL","N"
-"003-010","Phlebitis","I","I","UNREL","N"
-"003-021","Hematuria","II","II","UNREL","N"
-"003-024","Constipation","II","II","UNREL","N"
-"003-026","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-027","Chronic venous insufficiency","II","NA","UNREL","Y"
-"003-032","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-037","Hyponatremia","III","III","UNREL","Y"
-"003-038","Aspiration pneumonia","II","NA","UNREL","N"
-"003-043","UTI","II","NA","UNREL","N"
-"003-050","Anemia","II","II","UNREL","Y"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-063","Anemia","III","III","UNREL","Y"
-"003-082","Hypokalemia","II","II","UNREL","N"
-"003-097","UTI","II","NA","UNREL","N"
-"003-153","UTI","II","NA","UNREL","N"
-"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-164","Pneumothorax","II","II","UNREL","N"
-"003-177","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-180","Tracheal hemorrhage","II","II","UNREL","N"
-"003-182","Wound infection","II","NA","UNREL","N"
-"003-191","Tracheal hemorrhage","II","II","UNREL","N"
-"003-192","Tracheal hemorrhage","II","II","UNREL","N"
-"003-198","Hypocalcemia","III","III","UNREL","N"
-"003-202","Tracheal hemorrhage","I","I","UNREL","N"
-"003-204","Pressure ulcer","II","NA","UNREL","N"
-"003-208","Hypokalemia","II","II","UNREL","Y"
-"003-210","Hyponatremia","II","II","UNREL","N"
-"003-218","Hyperpyrexia","NA","NA","UNREL","N"
-"003-221","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-227","Hypocalcemia","II","II","UNREL","N"
-"003-228","Constipation","II","II","UNREL","N"
-"003-230","Hypocalcemia","II","II","UNREL","N"
-"003-232","Hyponatremia","I","I","UNREL","N"
-"003-237","Aspiration pneumonia","II","NA","UNREL","N"
-"003-238","Hypocalcemia","II","II","UNREL","N"
-"003-244","Hyponatremia","I","I","UNREL","N"
-"003-246","Hypomagnesemia","I","I","UNREL","N"
-"003-248","UTI","II","NA","UNREL","N"
-"003-249","Hypocalcemia","III","III","UNREL","N"
-"003-252","Skin allergy","I","NA","POSREL","N"
-"003-253","Constipation","II","II","UNREL","N"
-"003-256","Constipation","II","II","UNREL","N"
-"003-257","Hyponatremia","I","I","UNREL","N"
-"003-259","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-262","Blood stream infection","II","NA","UNREL","N"
-"003-263","Hyponatremia","II","II","UNREL","N"
-"003-264","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-266","Constipation","II","II","UNREL","N"
-"003-268","Hyponatremia","II","II","UNREL","N"
-"003-269","Hypokalemia","II","II","UNREL","N"
-"003-270","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-272","Hyponatremia","I","I","UNREL","N"
-"003-009","UTI","II","NA","UNREL","N"
-"003-010","UTI","II","NA","UNREL","N"
-"003-021","Tracheal hemorrhage","II","II","UNREL","N"
-"003-024","arthralgia","II","II","UNREL","Y"
-"003-025","Anemia","III","III","UNREL","N"
-"003-037","Tracheal hemorrhage","II","II","UNREL","N"
-"003-038","UTI","II","NA","UNREL","N"
-"003-043","Blood stream infection","II","NA","UNREL","Y"
-"003-050","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-057","UTI","II","NA","UNREL","N"
-"003-153","Blood stream infection","II","NA","UNREL","N"
-"003-154","Acute renal failure","III","NA","UNREL","N"
-"003-164","Tracheal hemorrhage","I","I","UNREL","N"
-"003-177","Acute renal failure","II","NA","UNREL","Y"
-"003-178","Hypocalcemia","III","III","UNREL","N"
-"003-180","Arterial thromboembolism","IV","IV","REL","N"
-"003-182","Hypocalcemia","III","III","UNREL","N"
-"003-198","Anemia","III","III","UNREL","Y"
-"003-202","Hypokalemia","II","II","UNREL","N"
-"003-208","Hypernatremia","I","I","UNREL","Y"
-"003-210","Hypocalcemia","III","III","UNREL","N"
-"003-218","Creatinine increase","III","III","UNREL","Y"
-"003-221","UTI","II","NA","UNREL","N"
-"003-227","Hyponatremia","I","I","UNREL","N"
-"003-229","Constipation","II","II","UNREL","N"
-"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-232","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-237","Hypocalcemia","II","II","UNREL","N"
-"003-244","Dizziness","II","II","UNREL","N"
-"003-246","Hypocalcemia","III","III","UNREL","N"
-"003-248","Hypertension","II","II","UNREL","N"
-"003-249","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-250","Hypokalemia","II","II","UNREL","N"
-"003-256","Conjunctivitis","II","II","UNREL","N"
-"003-257","Constipation","II","II","UNREL","N"
-"003-262","Nose bleed","I","I","UNREL","N"
-"003-263","Hypocalcemia","III","III","UNREL","N"
-"003-264","Back pain","II","II","UNREL","Y"
-"003-266","Hypokalemia","II","II","UNREL","N"
-"003-269","Skin allergy","II","NA","UNREL","N"
-"003-270","Hyponatremia","II","II","UNREL","N"
-"003-272","Constipation","II","II","UNREL","N"
-"003-009","Dysphagia","IV","IV","UNREL","Y"
-"003-010","UTI","II","NA","UNREL","N"
-"003-024","Cerebral hemorrhage","II","NA","UNREL","Y"
-"003-026","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-038","Cholangitis","NA","NA","UNREL","Y"
-"003-043","Anemia","III","III","UNREL","N"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-153","Anemia","III","III","UNREL","Y"
-"003-154","Ventilator associated pneumonia","III","NA","UNREL","Y"
-"003-177","Ventilator associated pneumonia","IV","IV","UNREL","Y"
-"003-178","Deep vein thrombosis","III","III","POSREL","N"
-"003-198","Hypomagnesemia","I","I","UNREL","N"
-"003-204","Hypernatremia","I","I","UNREL","N"
-"003-208","Blood stream infection","II","NA","UNREL","N"
-"003-210","Oral infection","II","II","UNREL","N"
-"003-218","Arterial thromboembolism","IV","IV","POSREL","N"
-"003-221","Blood stream infection","II","NA","UNREL","N"
-"003-227","Constipation","II","II","UNREL","N"
-"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-232","Pleural abscess","NA","NA","UNREL","Y"
-"003-237","Hypomagnesemia","I","I","UNREL","N"
-"003-246","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-248","Hypokalemia","II","II","UNREL","N"
-"003-249","UTI","II","NA","UNREL","N"
-"003-250","Constipation","II","II","UNREL","N"
-"003-257","Dizziness","II","II","UNREL","N"
-"003-262","Oral infection","II","II","UNREL","Y"
-"003-263","Hypokalemia","III","III","UNREL","N"
-"003-266","Hyponatremia","II","II","UNREL","N"
-"003-269","Hyponatremia","I","I","UNREL","N"
-"003-010","Pyloric stenosis","III","III","UNREL","Y"
-"003-025","Anemia","III","III","UNREL","N"
-"003-026","UTI","II","NA","UNREL","N"
-"003-043","UTI","II","NA","UNREL","N"
-"003-107","Cardiac arrest","IV","IV","UNREL","N"
-"003-153","Hyponatremia","III","III","UNREL","N"
-"003-178","Wound infection","II","NA","UNREL","N"
-"003-204","Hypokalemia","II","II","UNREL","N"
-"003-208","Anemia","III","III","UNREL","Y"
-"003-221","Upper respiratory infection","II","II","UNREL","N"
-"003-230","Sinus bradycardia","I","I","UNREL","Y"
-"003-237","Hyponatremia","III","III","UNREL","N"
-"003-246","Pruritus","II","II","POSREL","N"
-"003-248","Skin allergy","II","NA","POSREL","N"
-"003-249","Urinary retention","II","II","UNREL","Y"
-"003-262","Hyponatremia","II","II","UNREL","N"
-"003-263","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-269","Constipation","II","II","UNREL","N"
-"003-271","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Anemia","III","III","UNREL","N"
-"003-037","Aspiration pneumonia","II","NA","UNREL","N"
-"003-043","Pressure ulcer","III","NA","UNREL","N"
-"003-153","Hypokalemia","II","II","UNREL","N"
-"003-164","Conjunctivitis","II","II","UNREL","Y"
-"003-178","Blood stream infection","II","NA","UNREL","N"
-"003-204","Hypocalcemia","III","III","UNREL","N"
-"003-208","Hypotension","III","III","UNREL","N"
-"003-230","Dizziness","II","II","UNREL","Y"
-"003-246","Myalgia","II","II","UNREL","N"
-"003-248","Constipation","II","II","UNREL","N"
-"003-262","Constipation","II","II","UNREL","N"
-"003-263","Deep vein thrombosis","III","NA","POSREL","N"
-"003-025","UTI","II","NA","UNREL","N"
-"003-037","Adrenal insufficiency","II","II","UNREL","Y"
-"003-153","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-178","Tracheal hemorrhage","II","II","UNREL","N"
-"003-204","Rhabdomyolysis","II","II","UNREL","N"
-"003-208","Platelet count decreased","III","III","UNREL","N"
-"003-230","Constipation","II","II","UNREL","N"
-"003-262","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-263","Low weight, muscle wasting","II","NA","UNREL","Y"
-"003-269","UTI","II","NA","UNREL","N"
-"003-025","Platelet count decreased","III","III","UNREL","N"
-"003-153","Pressure ulcer","II","II","UNREL","N"
-"003-204","Anemia","III","III","UNREL","Y"
-"003-208","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-262","Low weight, muscle wasting","II","NA","UNREL","Y"
-"003-269","Low weight, muscle wasting","II","NA","UNREL","N"
-"003-271","Postoperative hemorrage","II","II","UNREL","N"
-"003-025","Hypokalemia","II","II","UNREL","N"
-"003-204","UTI","II","NA","UNREL","N"
-"003-208","Sinus bradycardia","II","II","UNREL","N"
-"003-262","Failed extubation","III","III","UNREL","N"
-"003-271","Constipation","II","II","UNREL","N"
-"003-025","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-208","Adrenal insufficiency","II","II","UNREL","Y"
-"003-271","Hypotension","IV","IV","UNREL","N"
-"003-025","Hypotension","III","III","UNREL","N"
-"003-208","Pressure ulcer","II","NA","UNREL","N"
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Hypotension","III","III","UNREL","N"
-"003-208","Hypoalbuminemia","III","III","UNREL",NA
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","UTI","II","NA","UNREL","N"
-"003-208","Constipation","II","II","UNREL","N"
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Adrenal insufficiency","II","II","UNREL","N"
-"003-208","Cerbral infarction","IV","IV","POSREL","Y"
-"003-269","Hypotension","IV","IV","POSREL","N"

From ef498651f9ab25067582e5c487bb3bae5db80bb5 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Tue, 2 Jul 2024 12:01:29 +0700
Subject: [PATCH 115/193] Delete group_data.csv

---
 group_data.csv | 89 --------------------------------------------------
 1 file changed, 89 deletions(-)
 delete mode 100644 group_data.csv

diff --git a/group_data.csv b/group_data.csv
deleted file mode 100644
index 41de05b..0000000
--- a/group_data.csv
+++ /dev/null
@@ -1,89 +0,0 @@
-ctcaename,class
-Nausea,Digestive
-Back pain,Musculoskeletal
-Viral infection,Infectious
-Headache,Neurological
-Phlebitis,Cardiovascular
-Gastritis,Digestive
-Constipation,Digestive
-Hemorrhoids,Digestive
-Skin allergy,Allergic
-Pharyngitis,Respiratory
-Hospital acquired pneumonia,Infectious
-UTI,Infectious
-Fever,General
-Neuralgia,Neurological
-Hiccup,Digestive
-Myocardial ischaemia,Cardiovascular
-Oral infection,Infectious
-Upper gastrointestinal hemorrhage,Digestive
-Otitis,Infectious
-Atrial thrombosis,Cardiovascular
-Spinal disc herniation,Musculoskeletal
-Sinusitis,Respiratory
-Facial nerve disorder,Neurological
-Urinary retention,Urinary
-Hyperglycaemia,Metabolic
-Chills,General
-Arthritis,Musculoskeletal
-Aspiration pneumonia,Respiratory
-Ventilator associated pneumonia,Respiratory
-arthralgia,Musculoskeletal
-Tracheal hemorrhage,Respiratory
-Hypotension,Cardiovascular
-Nose bleed,Respiratory
-Wound infection,Infectious
-Allergy,Allergic
-Hyponatremia,Metabolic
-Cellulitis,Infectious
-Blood stream infection,Infectious
-Hypokalemia,Metabolic
-Hypocalcemia,Metabolic
-Torticolis,Musculoskeletal
-Myocarditis,Cardiovascular
-Insomnia,Neurological
-Conjunctivitis,Infectious
-Cardiac arrest,Cardiovascular
-Voice alteration,Neurological
-Necrotic wound,Infectious
-Hypomagnesemia,Metabolic
-Hematuria,Urinary
-Subcutaneous emphysema,Respiratory
-Heat stroke,General
-Atrial fibrillation,Cardiovascular
-Dizziness,Neurological
-Failed extubation,Respiratory
-Appendicitis,Digestive
-Deep vein thrombosis,Cardiovascular
-Acute renal failure,Urinary
-Wound bleed,Digestive
-Arthralgia,Musculoskeletal
-Anemia,Hematologic
-Bruising,Hematologic
-Pressure ulcer,Skin
-Tracheal stenosis,Respiratory
-Upper respiratory infection,Respiratory
-Recurrent tetanus,Neurological
-Gastrointestinal disorder,Digestive
-Chronic venous insufficiency,Cardiovascular
-Pneumothorax,Respiratory
-Hyperpyrexia,General
-Arterial thromboembolism,Cardiovascular
-Hypernatremia,Metabolic
-Creatinine increase,Metabolic
-Hypertension,Cardiovascular
-Dysphagia,Digestive
-Cerebral hemorrhage,Neurological
-Cholangitis,Digestive
-Pleural abscess,Respiratory
-Pyloric stenosis,Cardiovascular
-Sinus bradycardia,Cardiovascular
-Pruritus,Allergic
-Myalgia,Musculoskeletal
-Adrenal insufficiency,Endocrine
-Rhabdomyolysis,Musculoskeletal
-Platelet count decreased,Hematologic
-"Low weight, muscle wasting",General
-Postoperative hemorrhage,Cardiovascular
-Hypoalbuminemia,Metabolic
-Cerebral infarction,Neurological

From 2146fa76e093ee7fefa487a399b2fdbabd8834b1 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Tue, 2 Jul 2024 12:02:04 +0700
Subject: [PATCH 116/193] Delete baseline_data.csv

---
 baseline_data.csv | 272 ----------------------------------------------
 1 file changed, 272 deletions(-)
 delete mode 100644 baseline_data.csv

diff --git a/baseline_data.csv b/baseline_data.csv
deleted file mode 100644
index 33c3ddb..0000000
--- a/baseline_data.csv
+++ /dev/null
@@ -1,272 +0,0 @@
-"usubjid","age","sex","bmi","source","tetanus","icudays","outcome","hypertension","myocardialinfart","angina","perivascular","chronicpul","connectivetissue","mildliver","hemiplegia","diawithchronic","severeliver","aids","cardiacfailureiii","cerebrovascular","severeresp","pepticulcer","diabetes","severekidney","malignancy","tumour","dementia","renalfailure","electivesurgery","emergencysurgery","timetoadm","incubationperiod","incuperiodonset","wound","diffbreath","ablettscore","asa","maxtemp","resp","fio2","spo2","pao2","ph","plt","wbc","hct","maxhr","minhr","maxsbp","worstdbp","worstsbp","vaso","na","k","creat","apacheii","sofa","tss","Arm","pain_score"
-"003-001",78,"F",17.7777777777778,2,"Y",7,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37,20,21,98,NA,NA,264,6.58,39.6,104,84,200,110,200,"N",136,3.5,60,9,0,8,"Intrathecal treatment",2
-"003-002",60,"F",22.2222222222222,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","II",1,37,22,21,98,NA,NA,237,7.25,37.6,92,72,160,90,160,"N",143,3.46,53,8,0,-2,"Sham procedure",1
-"003-003",48,"M",25.8166302126286,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,36,"Superficial/other","N","II",1,37.1,20,21,94,NA,NA,226,7.81,48.3,88,64,150,100,150,"N",143,3.92,79,5,0,4,"Sham procedure",4
-"003-004",16,"M",19.8140527358634,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,5,24,"Superficial/other","Y","II",1,38,26,21,96,NA,NA,308,12.8,40.7,108,84,140,80,140,"N",139,3.56,65,1,0,2,"Sham procedure",4
-"003-005",63,"F",18.7304890738814,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,20,24,"Superficial/other","N","II",1,37.5,20,21,95,NA,NA,369,13,39,100,94,110,70,110,"N",140,3,44,6,0,0,"Intrathecal treatment",4
-"003-006",40,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,314,8.84,46,92,72,160,90,160,"N",136,3.92,58,3,0,-1,"Intrathecal treatment",3
-"003-007",61,"F",19.53125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,48,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,276,5.37,37,92,76,150,90,150,"N",138,3.83,58,5,0,-1,"Sham procedure",2
-"003-008",71,"M",18.4240362811791,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N",4,30,NA,"Deep","N","I",1,37,24,21,96,NA,NA,305,7.78,46,92,80,160,80,120,"N",128,3.32,111,9,1,11,"Intrathecal treatment",2
-"003-009",82,"M",21.3333333333333,2,"Y",75,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","I",1,37.5,20,50,85,98,7.4,294,14.7,37,108,84,140,90,140,"N",136,3.85,67,6,2,8,"Intrathecal treatment",3
-"003-010",45,"M",24.2214532871972,2,"Y",23,3,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Deep","N","III",2,37.5,24,21,94,NA,7.4,157,9.95,34.5,109,104,120,80,120,"N",134,3.74,50,4,0,11,"Intrathecal treatment",5
-"003-011",84,"M",19.1000918273646,1,"Y",37,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,72,"Superficial/other","N","II",1,37.6,28,21,94,NA,NA,175,7.54,35,64,48,140,80,140,"N",148,2.27,73,13,0,7,"Sham procedure",4
-"003-012",47,"M",21.2585034013605,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,138,7.91,43.6,72,56,130,80,130,"N",140,3.56,85,2,1,-6,"Sham procedure",3
-"003-013",65,"M",19.53125,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,276,8.64,42.3,84,76,140,70,130,"N",136,3.68,83,5,0,-3,"Sham procedure",3
-"003-014",44,"M",20.5761316872428,2,"Y",10,4,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"N","N","N",5,5,96,"Superficial/other","Y","II",1,37.6,26,21,97,NA,NA,309,11.5,43,100,84,110,60,100,"N",140,3.13,65,2,0,-1,"Intrathecal treatment",1
-"003-015",46,"M",19.1515847936417,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,2,24,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,249,6.53,47.4,88,76,140,80,140,"N",141,3.56,67,3,0,-3,"Sham procedure",5
-"003-016",41,"M",21.8724228190326,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,22,21,94,NA,NA,216,6.72,44,92,72,130,80,120,"N",135,3.45,86,1,0,0,"Intrathecal treatment",5
-"003-017",55,"M",20.7612456747405,2,"Y",22,4,"N","N","N","N","N","N","Y","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,217,9.36,47,88,64,160,90,160,"N",155,2.18,110,13,1,2,"Sham procedure",1
-"003-018",33,"F",22.0603537981269,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","I",1,38,20,21,97,NA,NA,375,9.92,39,92,84,130,80,110,"N",137,4.79,55,0,0,-5,"Sham procedure",1
-"003-019",60,"F",23.4375,2,"Y",10,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,96,"Superficial/other","N","II",2,37.8,22,21,96,NA,NA,255,8.63,39.4,72,64,150,110,140,"N",139,3.74,66,5,0,1,"Sham procedure",1
-"003-020",41,"F",24.5577523413111,1,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,15,NA,"Superficial/other","N","I",2,37.6,24,21,96,NA,NA,334,7.93,44.7,88,68,140,100,140,"N",139,3.39,53,5,0,-1,"Sham procedure",5
-"003-021",27,"M",23.4375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,24,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,340,12.7,45.5,90,84,130,80,120,"N",142,3.37,87,1,0,-5,"Intrathecal treatment",5
-"003-022",23,"M",18.7304890738814,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","Y","III",1,38,22,21,97,NA,NA,302,15.3,39.3,100,92,130,80,130,"N",143,3.03,74,2,0,-1,"Intrathecal treatment",4
-"003-023",53,"M",24.3374797187669,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",1,37.4,26,21,94,NA,NA,266,7.94,47,100,88,160,100,160,"N",136,3.81,90,6,0,4,"Intrathecal treatment",2
-"003-024",42,"M",21.875,2,"Y",34,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,349,13.9,42,106,96,130,80,130,"N",141,3.61,55,0,0,1,"Intrathecal treatment",2
-"003-025",63,"F",16.8474687705457,2,"Y",NA,4,"N","N","N","Y","Y","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",3,37.6,24,21,94,NA,NA,358,19.9,32,92,84,160,90,160,"N",130,3.52,37,13,0,9,"Sham procedure",4
-"003-026",80,"F",20,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,38.2,24,21,96,NA,NA,212,10.05,34.4,96,80,160,90,160,"N",139,3.35,63,9,0,6,"Sham procedure",2
-"003-027",64,"F",23.9360623149012,1,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,NA,"Superficial/other","N","I",2,37.5,24,21,96,NA,NA,221,10.79,40,96,76,180,100,180,"N",137.8,3.49,44,8,0,2,"Intrathecal treatment",1
-"003-028",67,"F",20,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N",5,NA,96,"Superficial/other","N","I",2,37.4,24,21,96,NA,NA,174,7.16,36.9,80,72,140,90,140,"N",139,2.99,61,12,0,0,"Intrathecal treatment",3
-"003-029",33,"M",20.8116545265349,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,NA,"Superficial/other","N","I",1,37,26,21,97,NA,NA,230,14.4,46,84,76,120,70,120,"N",139,3.95,130,2,1,-5,"Intrathecal treatment",5
-"003-030",46,"M",23.1833910034602,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,NA,"Superficial/other","N","I",1,37.4,22,21,97,NA,NA,259,7.88,42.6,88,80,130,80,130,"N",140,3.55,89,2,0,-5,"Sham procedure",3
-"003-031",50,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,37.4,22,21,94,NA,NA,279,10.7,46,96,80,160,110,160,"N",140,3.27,62,11,0,4,"Intrathecal treatment",1
-"003-032",63,"M",23.6614386154678,2,"Y",21,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,7,96,"Superficial/other","N","II",2,37,24,21,97,NA,NA,148,4.61,37.9,68,64,130,80,130,"N",145,3.28,111,6,2,-2,"Sham procedure",2
-"003-033",52,"M",15.625,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,256,10.9,40.5,84,84,130,80,130,"N",140,3.52,79,2,0,-5,"Intrathecal treatment",4
-"003-034",42,"M",20.8116545265349,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,NA,24,"Superficial/other","N","II",2,37.6,24,21,98,NA,NA,326,6.19,26.5,100,88,150,100,150,"N",141,2.98,46,18,0,2,"Sham procedure",4
-"003-035",57,"F",18.1786703601108,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,339,6.18,39,88,84,150,100,150,"N",136,4.64,74,5,0,-2,"Intrathecal treatment",1
-"003-036",55,"M",18.6268226245794,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,48,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,309,14.15,39.8,88,76,130,80,130,"N",137,3.78,77,3,0,-5,"Sham procedure",5
-"003-037",61,"F",24.9739854318418,2,"Y",28,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","Y","III",2,38,22,25,93,NA,NA,142,9.26,36.4,100,88,140,80,140,"N",139,3.07,53,6,1,4,"Intrathecal treatment",1
-"003-038",88,"F",20.4081632653061,2,"Y",26,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",2,37,24,21,96,NA,NA,217,9.78,38,100,76,180,100,180,"N",140,4.33,60,8,0,12,"Sham procedure",4
-"003-039",54,"M",25.3443526170799,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,NA,"Superficial/other","N","I",1,37,22,21,96,NA,NA,255,16.5,42,108,60,190,110,190,"N",140,3.62,90,6,0,0,"Sham procedure",3
-"003-040",34,"M",25.9701155481953,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37,20,21,99,NA,NA,242,7.9,44,104,88,150,80,150,"N",133,3.42,77,1,0,5,"Sham procedure",4
-"003-041",55,"M",25.7116620752984,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,5,NA,"Superficial/other","N","I",2,37,24,21,98,NA,NA,322,9.43,38,92,88,130,80,130,"N",141,3.74,109,3,0,-2,"Intrathecal treatment",5
-"003-042",27,"M",21.484375,2,"Y",27,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,4,24,"Superficial/other","N","II",2,39,26,40,97,101,7.36,339,16,43,148,88,130,80,130,"N",143,3.12,69,9,1,11,"Intrathecal treatment",5
-"003-043",68,"F",20,2,"Y",43,3,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","Y","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,24,21,80,NA,NA,523,11.4,35,124,104,140,80,140,"N",138,4.28,68,12,0,9,"Sham procedure",4
-"003-044",41,"M",18.9619274241523,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",15,NA,NA,"Superficial/other","N","I",1,38,20,21,98,NA,NA,385,7.16,45,84,80,140,80,140,"N",137,3.72,83,0,0,-4,"Intrathecal treatment",3
-"003-045",49,"F",18.7304890738814,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,24,"Superficial/other","N","II",1,37.2,20,21,97,NA,NA,361,8.57,38,92,88,110,70,110,"N",143,3.45,56,3,0,-6,"Intrathecal treatment",3
-"003-046",61,"M",22.8373702422145,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,306,5.98,44,96,84,160,90,140,"N",140,4.62,75,3,0,4,"Intrathecal treatment",2
-"003-047",43,"M",22.0931700542861,1,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,72,"Superficial/other","N","I",1,37.2,22,21,97,NA,NA,251,6.84,41,86,68,140,80,120,"N",138,3.58,58,5,0,2,"Sham procedure",5
-"003-048",56,"M",22.038567493113,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,72,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,351,10.8,38,100,88,140,80,120,"N",144,3.5,80,3,0,-3,"Intrathecal treatment",5
-"003-049",64,"M",19.921875,2,"Y",12,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,120,"Superficial/other","N","II",2,37.4,30,21,91,NA,NA,221,6.93,36,100,64,140,90,140,"N",142,3.74,77,4,0,-1,"Intrathecal treatment",1
-"003-050",59,"M",20.8888888888889,2,"Y",33,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","Y","III",2,37.6,25,40,92,168,7.43,124,6.65,25.3,124,96,180,90,180,"N",138,3.67,65,10,3,15,"Intrathecal treatment",3
-"003-051",63,"M",16.8061342389972,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,48,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,244,7.44,40,80,72,140,80,130,"N",143,3.95,84,3,0,-3,"Sham procedure",2
-"003-052",65,"F",23.309053069719,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,15,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,337,6.58,39,80,72,150,70,120,"N",139,3.85,61,5,0,4,"Sham procedure",3
-"003-053",38,"M",20.0288415318058,1,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,23,"Superficial/other","Y","III",2,37.5,20,21,95,NA,NA,210,9.15,35.3,120,68,160,90,160,"N",140,3.59,47,6,0,15,"Sham procedure",4
-"003-054",73,"M",23.4375,2,"Y",22,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",3,NA,24,"Superficial/other","N","II",3,38.5,22,36,97,NA,NA,351,13.48,45.9,104,86,170,80,170,"N",138,3.65,112,8,2,10,"Sham procedure",2
-"003-055",57,"F",21.3333333333333,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,72,"Superficial/other","N","II",2,38.4,28,21,92,NA,NA,402,19.16,31.5,108,80,170,90,170,"N",139,4.25,80,7,0,3,"Intrathecal treatment",5
-"003-056",86,"F",22.2222222222222,2,"Y",1,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,10,120,"Superficial/other","Y","III",2,39,24,40,80,NA,NA,147,8.98,38,128,80,136,60,80,"Y",129,3.63,90,15,7,21,"Sham procedure",3
-"003-057",88,"F",20.703125,2,"Y",37,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,8,48,"Superficial/other","N","II",2,38,32,21,92,NA,NA,189,8.68,42,128,84,190,110,190,"N",144,2.62,101,14,0,16,"Intrathecal treatment",3
-"003-058",40,"M",18.732782369146,2,"Y",2,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,313,15.8,41,88,80,130,90,130,"N",NA,NA,84,1,0,-5,"Sham procedure",2
-"003-059",23,"M",20.7756232686981,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",1,37.6,22,21,97,NA,NA,301,11.9,44,88,80,120,70,110,"N",143,3.54,106,0,0,-5,"Sham procedure",2
-"003-060",48,"M",21.6333153055706,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,NA,"Superficial/other","N","I",1,37.5,20,21,97,NA,NA,276,8.99,42,88,84,110,70,100,"N",144,3.78,88,2,0,-5,"Sham procedure",4
-"003-061",86,"M",20.4152249134948,2,"Y",24,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,244,7.94,38,88,80,150,90,150,"N",138,4.07,100,8,0,12,"Sham procedure",2
-"003-062",61,"M",20.7612456747405,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,21,48,"Superficial/other","N","II",2,37.4,22,21,92,NA,NA,137,8.2,44,160,88,210,110,210,"N",145,3.44,89,10,1,6,"Intrathecal treatment",1
-"003-063",50,"M",20.2020202020202,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.6,18,21,96,NA,NA,243,9.83,35,120,104,120,70,120,"N",137,4.03,108,4,0,4,"Sham procedure",4
-"003-064",61,"M",20.5498866213152,2,"Y",9,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","I",3,38.2,22,21,93,NA,NA,234,10.4,35,100,80,140,80,140,"N",138,4.36,90,3,0,7,"Intrathecal treatment",1
-"003-065",77,"M",23.1246703720232,2,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.5,25,21,90,NA,NA,185,7.13,42,108,100,150,70,150,"N",138,3.14,82,8,0,7,"Sham procedure",5
-"003-066",61,"F",18.6666666666667,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,72,"Superficial/other","N","II",2,38.5,20,21,98,NA,NA,289,5.7,36,100,68,190,70,120,"N",139,2.92,84,6,0,2,"Intrathecal treatment",2
-"003-067",39,"M",24.609375,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",1,38,20,21,95,NA,NA,253,10.2,39.1,86,68,120,60,100,"N",142,3.35,86,1,0,-5,"Intrathecal treatment",5
-"003-068",48,"F",22.6666666666667,1,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,39,22,21,93,NA,NA,319,8.77,40,108,70,150,90,150,"N",142,3.23,79,8,0,12,"Intrathecal treatment",2
-"003-069",44,"M",21.484375,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,NA,24,"Superficial/other","N","II",1,37.4,18,21,97,NA,NA,162,7.69,41,64,54,140,70,140,"N",138,3.71,90,2,0,2,"Intrathecal treatment",2
-"003-070",20,"M",22.65625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",1,38,18,21,97,NA,NA,286,10.6,39,88,52,110,60,90,"N",139,3.43,75,1,0,-5,"Sham procedure",3
-"003-071",66,"F",20.4444444444444,1,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,72,"Superficial/other","N","II",2,37.6,24,21,96,NA,NA,344,11,37,100,92,110,60,110,"N",138,3.37,74,6,0,-3,"Intrathecal treatment",2
-"003-072",23,"M",23.7386621315193,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N",2,14,24,"Superficial/other","N","II",2,37.2,20,21,98,NA,NA,240,11.2,44.1,94,92,120,70,120,"N",140,4.01,97,5,0,3,"Sham procedure",3
-"003-073",37,"M",21.4535737137265,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,15,144,"Superficial/other","N","I",1,37,22,21,97,NA,NA,266,6.46,47,84,68,140,90,140,"N",138,3.43,79,2,0,-3,"Sham procedure",3
-"003-074",51,"F",21.6412742382271,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,335,14.6,46,80,76,160,90,160,"N",141,3.52,77,5,0,7,"Intrathecal treatment",1
-"003-075",60,"M",20.7612456747405,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,14,92,"Superficial/other","N","III",1,37.4,22,21,95,NA,NA,225,9.72,46,96,80,170,100,170,"N",133,3.63,56,6,0,-2,"Intrathecal treatment",1
-"003-076",41,"M",18.7304890738814,2,"Y",8,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,48,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,302,7.17,37,100,80,180,100,180,"N",146,3.4,116,3,1,2,"Sham procedure",5
-"003-077",52,"F",22.2222222222222,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,9,24,"Superficial/other","Y","III",1,37.5,20,40,94,NA,NA,364,14.8,33.2,116,84,130,80,130,"N",146,3.86,54,4,1,1,"Sham procedure",1
-"003-078",54,"M",21.484375,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,72,"Superficial/other","N","II",1,37.4,20,21,97,NA,NA,230,5.99,39.4,84,72,120,80,120,"N",140,3.66,91,2,0,-5,"Intrathecal treatment",5
-"003-079",56,"M",19.53125,2,"Y",27,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,38,26,21,93,NA,NA,398,10.7,35.3,96,92,160,90,160,"N",138,3.5,92,6,0,4,"Sham procedure",1
-"003-080",77,"M",26.6666666666667,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","Y",7,13,120,"Superficial/other","N","II",3,37.8,26,21,96,NA,NA,349,7.77,38.9,124,80,150,90,150,"N",140,4.6,140,18,1,12,"Intrathecal treatment",2
-"003-081",73,"F",20,2,"Y",8,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","Y","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",3,37.4,20,21,96,NA,NA,160,6.81,37.3,92,84,140,80,140,"N",137,3.84,98,5,0,7,"Sham procedure",1
-"003-082",60,"M",21.484375,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,96,"Superficial/other","N","II",2,37,22,21,96,NA,NA,363,7.85,35.3,84,60,120,80,120,"N",132,3.63,70,3,0,-2,"Sham procedure",3
-"003-083",52,"M",26.6666666666667,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,298,8.39,36,80,76,120,80,120,"N",135,3.82,66,2,0,0,"Intrathecal treatment",3
-"003-084",55,"M",22.4913494809689,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,22,21,97,NA,NA,320,12.21,41,76,72,150,90,150,"N",138,3.29,73,6,0,-1,"Sham procedure",4
-"003-085",43,"M",23.4375,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,72,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,279,7.9,40,98,84,140,90,140,"N",137,4.12,117,0,1,-3,"Intrathecal treatment",2
-"003-086",18,"F",22.2222222222222,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",2,39.5,24,21,97,NA,NA,89,7.89,39.2,112,92,120,80,120,"N",145,4.11,62,5,2,5,"Intrathecal treatment",4
-"003-087",50,"M",21.0771952275208,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,287,9.68,36,80,52,130,80,130,"N",140,3.72,89,2,0,-5,"Sham procedure",3
-"003-088",41,"M",27.34375,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,24,"Superficial/other","Y","II",2,39,26,21,95,NA,NA,346,12.7,44.7,132,84,200,120,200,"N",137,2.99,85,16,0,14,"Intrathecal treatment",1
-"003-089",63,"M",20.7612456747405,1,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,255,9.29,37.3,92,84,150,90,150,"N",141,3.63,89,5,0,4,"Intrathecal treatment",3
-"003-090",56,"M",20.0692041522491,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","III",1,37.5,24,30,96,105,7.45,248,8.78,41,88,76,130,80,130,"N",140,3.8,84,3,0,0,"Sham procedure",4
-"003-091",45,"F",22.8928199791883,1,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,405,8.77,42.7,104,84,140,80,140,"N",132,4.02,66,2,0,3,"Intrathecal treatment",2
-"003-092",70,"M",18.9387755102041,1,"Y",19,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",7,7,24,"Superficial/other","N","II",3,37,22,21,97,NA,NA,235,8.24,36.9,80,72,140,80,140,"N",138,3.72,91,5,0,1,"Sham procedure",5
-"003-093",38,"M",18.2867797339453,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,10,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,251,6.65,44,92,76,130,80,130,"N",135,3.86,79,0,0,-6,"Sham procedure",2
-"003-094",37,"M",26.218820861678,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,11,24,"Superficial/other","N","II",1,38,24,21,95,NA,NA,223,7.09,43.5,120,84,130,80,130,"N",136,3.76,73,2,0,4,"Intrathecal treatment",1
-"003-095",49,"M",24.2439184746877,2,"Y",5,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.6,20,21,97,NA,NA,300,7.66,44,96,60,160,100,160,"N",134,3.95,74,4,0,-2,"Sham procedure",2
-"003-096",41,"M",19.9593554942662,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,10,24,"Superficial/other","N","II",1,39,30,21,96,NA,NA,374,12.7,38.4,96,84,130,90,130,"N",151,3.54,88,5,0,-2,"Intrathecal treatment",3
-"003-097",66,"F",24.9739854318418,2,"Y",33,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,179,15,39.8,100,96,130,80,130,"N",140,3.32,67,7,0,-5,"Sham procedure",3
-"003-098",53,"M",20.8116545265349,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37.2,20,21,99,NA,NA,246,8.54,38.8,76,76,110,70,100,"N",153,3.65,85,3,0,-5,"Sham procedure",2
-"003-099",56,"F",24.9739854318418,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,6,24,"Superficial/other","Y","II",2,37.4,22,21,95,NA,NA,315,11.3,34.5,106,84,150,100,150,"N",139,4.49,50,12,0,7,"Intrathecal treatment",2
-"003-100",66,"F",20,1,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,9,48,"Superficial/other","N","II",1,37.4,22,21,93,NA,NA,374,10.5,38.4,86,76,150,90,150,"N",140,3.89,58,12,0,-1,"Sham procedure",4
-"003-101",60,"M",25.390625,2,"Y",6,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,NA,"Superficial/other","N","I",2,37.2,20,21,95,NA,NA,264,9.95,46,100,88,150,90,150,"N",139,3.29,108,7,0,2,"Intrathecal treatment",5
-"003-102",48,"M",17.7777777777778,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,13,NA,"Superficial/other","N","I",2,37.6,22,21,97,NA,NA,891,7.72,36.5,92,84,130,90,130,"N",134,4.49,48,4,0,-3,"Sham procedure",2
-"003-103",41,"M",21.875,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,10,24,"Superficial/other","N","II",1,37.2,21,21,96,NA,NA,304,7.94,45,96,76,150,90,150,"N",140,3.82,80,2,0,-1,"Intrathecal treatment",3
-"003-104",63,"M",23.4375,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,72,"Superficial/other","N","II",1,37.7,24,21,94,NA,NA,241,9.19,49,88,68,130,80,130,"N",138,3.61,87,4,0,-5,"Intrathecal treatment",1
-"003-105",38,"M",17.9981634527089,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,30,288,"Superficial/other","N","II",1,38,24,21,97,NA,NA,293,10.6,37,64,60,120,60,100,"N",136,3.74,75,2,0,-6,"Intrathecal treatment",5
-"003-106",40,"M",22.8928199791883,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,26,21,94,NA,NA,315,7.1,41.8,92,72,130,90,130,"N",140,3.51,82,1,0,-5,"Sham procedure",3
-"003-107",60,"F",18.6666666666667,2,"Y",9,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,48,"Superficial/other","N","II",1,38.4,26,21,93,NA,NA,330,16.2,35,136,104,180,150,180,"N",141,3.34,54,12,0,8,"Sham procedure",2
-"003-108",34,"M",22.038567493113,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,6,24,"Superficial/other","N","II",1,37.6,22,21,96,NA,NA,375,9.24,42.6,80,72,130,80,130,"N",136,3.62,81,0,0,0,"Intrathecal treatment",1
-"003-109",41,"M",20.5456936226167,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,14,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,219,13.2,38.9,88,80,120,70,120,"N",140,3.67,95,0,0,-5,"Sham procedure",4
-"003-110",57,"M",17.6308539944904,2,"Y",7,4,"N","N","N","N","Y","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,21,120,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,403,8.56,36.2,88,80,150,80,150,"N",132,2.88,37,12,0,1,"Intrathecal treatment",4
-"003-111",48,"M",22.8928199791883,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,28,24,"Superficial/other","N","II",2,37.4,22,21,95,NA,NA,325,11.8,48.8,92,70,140,80,140,"N",144,3.14,72,4,0,5,"Sham procedure",3
-"003-112",34,"M",18.8706633763972,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",2,37.6,15,21,95,NA,NA,194,10.1,41.9,92,64,140,80,140,"N",142,3.53,87,5,0,0,"Intrathecal treatment",1
-"003-113",34,"M",22.4913494809689,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","Y","II",1,37.5,20,21,97,NA,NA,311,12.4,43.3,84,76,140,80,140,"N",132,3.44,85,1,0,6,"Intrathecal treatment",2
-"003-114",52,"M",21.0961905148282,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,NA,"Superficial/other","N","I",1,37.5,20,21,96,NA,NA,270,10.6,38.3,94,80,140,80,140,"N",138,3.71,89,2,0,-3,"Intrathecal treatment",3
-"003-115",37,"M",24.092970521542,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,28,72,"Superficial/other","N","II",1,37.2,20,21,98,NA,NA,222,8.15,37,80,56,120,70,120,"N",138,3.4,91,1,0,-5,"Sham procedure",1
-"003-116",32,"M",23.1404958677686,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,6,48,"Superficial/other","N","II",2,37.5,20,21,95,NA,NA,216,10.35,42.6,104,68,140,80,140,"N",139,2.89,65,2,0,1,"Sham procedure",1
-"003-117",29,"M",24.2214532871972,2,"Y",21,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,30,24,"Superficial/other","N","II",1,38.1,35,21,95,120,7.5,183,10.4,44.3,130,96,160,80,160,"N",142,3.31,86,7,0,2,"Sham procedure",2
-"003-118",78,"F",20.8116545265349,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,30,120,"Superficial/other","N","II",2,37.4,24,21,90,NA,NA,250,10.6,47.1,90,76,160,80,160,"N",141,3.88,74,7,0,6,"Intrathecal treatment",2
-"003-119",18,"M",25.3515413737155,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,48,"Superficial/other","N","I",1,37,20,21,96,NA,NA,310,11.4,42,92,88,130,80,130,"N",137,3.13,74,1,0,0,"Sham procedure",4
-"003-120",49,"M",22.265625,1,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,12,92,"Superficial/other","N","II",1,37,20,21,97,NA,NA,356,10.1,42.9,86,64,120,80,120,"N",140,4.2,89,2,0,-5,"Intrathecal treatment",3
-"003-121",36,"M",22.8623685413809,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,25,92,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,294,7.53,42.3,70,70,130,80,130,"N",140,3.44,87,1,0,-5,"Sham procedure",2
-"003-122",32,"M",21.7738423573813,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,167,5.61,37.8,96,84,120,80,120,"N",137,3.75,93,0,0,-2,"Intrathecal treatment",2
-"003-123",37,"M",22.4913494809689,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,24,21,98,NA,NA,525,9.41,41,88,76,140,80,140,"N",136,4.01,82,0,0,-3,"Intrathecal treatment",5
-"003-124",72,"F",22.2222222222222,2,"Y",23,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",2,37.5,30,21,93,NA,NA,302,11.2,31.8,100,92,160,80,160,"N",141,3.19,60,7,0,7,"Sham procedure",1
-"003-125",40,"M",26.5731292517007,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,NA,"Superficial/other","N","I",1,37.4,24,21,97,NA,NA,360,7.11,42.1,104,88,140,100,140,"N",145,3.3,67,3,0,3,"Intrathecal treatment",3
-"003-126",38,"M",20.2020202020202,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,30,24,"Superficial/other","N","II",1,37.4,20,21,94,NA,NA,155,7.39,42,92,66,110,80,110,"N",132,3.7,74,0,0,0,"Sham procedure",2
-"003-127",53,"M",20.8116545265349,2,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,24,"Superficial/other","N","II",1,37,24,21,97,NA,NA,244,6.34,41,100,88,140,90,140,"N",134,3.8,64,2,0,-4,"Sham procedure",2
-"003-128",55,"M",20.3125,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,3,48,"Superficial/other","N","II",1,37.5,22,21,97,NA,NA,281,10.6,43,108,70,150,90,150,"N",130,4.45,47,7,0,0,"Intrathecal treatment",4
-"003-129",39,"M",17.7832495468691,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,24,"Superficial/other","N","II",2,39,22,21,96,NA,NA,171,6.22,42.7,120,100,140,90,140,"N",133,2.85,50,9,0,8,"Intrathecal treatment",4
-"003-130",55,"M",20.3125,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,96,"Superficial/other","N","I",1,37,20,21,96,NA,NA,287,11.9,42.8,86,72,140,80,140,"N",135,3.59,71,3,0,2,"Sham procedure",4
-"003-131",59,"M",20.9366391184573,2,"Y",30,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,5,48,"Superficial/other","N","II",2,39,27,21,94,NA,NA,351,11.5,43.4,120,92,150,80,150,"N",136,3.94,69,9,0,10,"Intrathecal treatment",5
-"003-132",23,"M",23.5078053259871,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",1,37,22,21,96,NA,NA,366,13.4,50.3,80,72,120,80,120,"N",138,3.74,103,2,0,0,"Sham procedure",5
-"003-133",73,"F",17.8571428571429,2,"Y",20,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,48,"Superficial/other","N","II",2,37.8,26,21,98,NA,NA,274,7.8,29,120,68,180,80,180,"N",143,3.8,79,12,0,11,"Intrathecal treatment",4
-"003-134",40,"M",22.038567493113,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","I",1,37.6,22,21,97,NA,NA,224,8.94,49,90,68,170,80,170,"N",143,3.89,70,3,0,4,"Sham procedure",4
-"003-135",43,"M",24.2424242424242,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,NA,"Superficial/other","N","I",1,37.6,20,21,96,NA,NA,265,9.22,47.3,88,84,120,80,120,"N",140,3.72,83,1,0,-5,"Sham procedure",2
-"003-136",64,"M",19.8412698412698,2,"Y",4,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N",3,14,96,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,114,7.07,42,80,68,130,80,130,"N",138,3.28,69,9,1,-2,"Intrathecal treatment",5
-"003-137",74,"M",26.0374939913475,2,"Y",17,4,"Y","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N",4,15,72,"Superficial/other","N","II",2,37.4,22,21,97,NA,NA,270,9.32,40.7,100,92,130,80,130,"N",140,3.55,61,5,0,3,"Intrathecal treatment",2
-"003-138",39,"M",21.9671201814059,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.3,20,21,97,NA,NA,399,9.95,44.7,72,52,130,80,130,"N",139,3.49,78,1,0,0,"Sham procedure",2
-"003-139",56,"M",22.2222222222222,2,"Y",29,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.6,14,21,96,NA,NA,343,8.78,33.7,136,84,258,147,258,"N",141,3.58,65,9,0,11,"Sham procedure",4
-"003-140",58,"M",22.65625,2,"Y",52,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,37.5,26,21,95,NA,NA,308,11,41.2,104,84,110,70,110,"N",144,3.82,78,4,0,4,"Sham procedure",5
-"003-141",44,"M",21.1463199091024,2,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,37.7,20,21,97,NA,NA,210,8.18,44.4,90,88,120,80,120,"N",137,3.81,83,0,0,-6,"Intrathecal treatment",3
-"003-142",57,"M",18.3654729109275,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N",20,NA,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,333,7.67,42.6,84,66,150,90,150,"N",140,3.68,65,10,0,-2,"Intrathecal treatment",3
-"003-143",64,"M",18.3142559833507,1,"Y",13,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,24,"Superficial/other","N","II",1,37.4,20,21,95,NA,NA,115,6.29,39.9,88,72,140,90,140,"N",140,3.98,77,3,1,-3,"Intrathecal treatment",2
-"003-144",49,"M",25.9515570934256,1,"Y",3,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,12,NA,"Superficial/other","N","I",2,37,20,21,95,NA,NA,180,6.17,42.9,76,72,120,80,120,"N",137,3.22,98,3,0,-3,"Sham procedure",2
-"003-145",32,"M",21.3039485766759,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,8,96,"Superficial/other","N","II",1,37.2,22,21,96,NA,NA,275,7.96,39,100,96,140,80,140,"N",139,3.87,85,0,0,-4,"Intrathecal treatment",1
-"003-146",68,"M",21.5138585105239,2,"Y",12,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",9,NA,168,"Superficial/other","N","II",2,37,20,21,95,NA,NA,377,12.3,36,76,64,120,80,120,"N",137,3.76,119,5,1,-3,"Intrathecal treatment",3
-"003-147",39,"M",22.3081499107674,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,NA,"Superficial/other","N","I",1,37.6,20,21,98,NA,NA,338,11.5,39.4,86,72,120,80,120,"N",138,3.33,78,1,0,-5,"Intrathecal treatment",5
-"003-148",64,"M",31.2394143550755,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","III",1,37,24,21,98,NA,NA,425,13.6,42,106,92,130,80,130,"N",142,3.98,95,3,0,-4,"Sham procedure",3
-"003-149",33,"M",25.390625,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",1,38,20,21,97,NA,NA,214,7.3,41.4,100,92,130,80,130,"N",140,3.6,92,0,0,-6,"Intrathecal treatment",5
-"003-150",39,"M",19.0039083509627,1,"Y",10,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,12,72,"Superficial/other","N","II",2,37.4,20,21,98,NA,NA,309,6.88,42.8,92,76,120,80,120,"N",135,3.81,86,0,0,3,"Intrathecal treatment",1
-"003-151",55,"M",22.77318640955,2,"Y",24,4,NA,"N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,72,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,283,6.44,53,96,72,150,100,150,"N",137,3.83,81,7,0,2,"Sham procedure",2
-"003-152",60,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,72,"Superficial/other","N","II",2,37.5,23,21,96,NA,NA,256,9.13,42.7,84,64,130,90,130,"N",135,3.56,80,3,0,-2,"Sham procedure",4
-"003-153",74,"F",22.2222222222222,2,"Y",57,2,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,10,24,"Superficial/other","N","II",2,38,24,40,94,NA,NA,294,6.37,37.8,104,72,150,80,150,"N",145,3,70,6,1,13,"Sham procedure",3
-"003-154",75,"M",23.7812128418549,2,"Y",31,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",6,NA,120,"Superficial/other","N","II",3,37.6,20,21,97,NA,NA,411,13.87,38.3,92,68,150,90,150,"N",137,3.84,87,8,0,8,"Sham procedure",5
-"003-155",36,"M",22.2222222222222,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,9,NA,"Superficial/other","N","I",1,37.4,20,21,94,NA,NA,312,10.59,49.6,92,80,120,90,120,"N",139,3.38,80,2,0,0,"Intrathecal treatment",5
-"003-156",44,"M",23.9512265931195,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,259,6.03,37.8,84,64,120,80,120,"N",139,3.42,81,1,0,-5,"Sham procedure",5
-"003-157",46,"M",22.038567493113,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,24,"Superficial/other","N","II",1,37,20,21,96,NA,NA,260,12.8,47.6,100,92,140,90,140,"N",139,3.47,80,4,0,-3,"Intrathecal treatment",4
-"003-158",40,"M",21.875,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,36,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,323,19,48.3,90,70,130,80,130,"N",143,4.02,75,2,0,-5,"Sham procedure",3
-"003-159",42,"M",19.4674012855831,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,3,120,"Superficial/other","N","II",1,37.4,22,21,96,NA,NA,246,8.68,38,92,80,130,70,110,"N",134,3.68,75,0,0,-6,"Sham procedure",3
-"003-160",34,"M",18.3654729109275,2,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","I",1,37.4,20,21,96,NA,NA,182,9.05,39.9,82,68,120,80,120,"N",139,3.6,67,0,0,0,"Sham procedure",2
-"003-161",56,"M",13.840830449827,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,7,72,"Superficial/other","N","II",1,38,18,21,95,NA,NA,176,4.51,39.2,104,68,130,80,130,"N",139,3.45,55,4,0,-5,"Intrathecal treatment",2
-"003-162",57,"M",20.307412205455,1,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,96,"Superficial/other","N","I",1,37.4,18,21,96,NA,NA,274,10.3,44.6,82,72,150,90,150,"N",142,3.53,97,5,0,-1,"Sham procedure",2
-"003-163",54,"M",25.390625,2,"Y",15,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,NA,24,"Superficial/other","N","II",2,37.5,26,40,92,111,7.4,321,7.63,44.5,80,64,160,120,160,"N",134,3.45,96,7,1,2,"Sham procedure",2
-"003-164",53,"M",22.038567493113,1,"Y",36,4,"Y","N","N",NA,NA,"N","N","N",NA,"N","N","N","N","N","N",NA,"Y","N","N","N","Y","N","N",3,4,24,"Superficial/other","N","III",3,39.5,25,40,90,NA,NA,220,20.8,27.3,156,84,190,100,190,"N",141,3.95,698,20,5,14,"Sham procedure",2
-"003-165",36,"M",20.9571711629325,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,278,7.46,41.3,76,68,120,80,120,"N",139,3.37,82,1,0,0,"Intrathecal treatment",3
-"003-166",32,"M",21.484375,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",2,37.5,26,21,94,NA,NA,309,7.23,42,54,48,120,80,120,"N",141,3.22,66,5,0,3,"Intrathecal treatment",1
-"003-167",33,"M",24.9770431588613,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,72,"Superficial/other","N","II",1,37.4,20,21,96,NA,NA,224,9.56,42.9,100,84,150,100,150,"N",136,3.66,109,2,0,-2,"Intrathecal treatment",1
-"003-168",46,"M",21.5138585105239,2,"Y",24,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.4,24,21,97,NA,NA,182,12.05,46.9,110,92,160,100,160,"N",140,4.89,85,7,0,8,"Intrathecal treatment",1
-"003-169",40,"M",24.21875,1,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.5,20,21,97,NA,NA,272,14.48,45,86,80,160,80,160,"N",136,3.77,64,0,0,7,"Intrathecal treatment",1
-"003-170",36,"M",20.9366391184573,1,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,21,NA,"Superficial/other","N","I",1,37.4,20,21,98,NA,NA,329,5.28,40.8,70,44,150,100,150,"N",136,3.35,86,3,0,-2,"Sham procedure",3
-"003-171",48,"M",20.3125,2,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",NA,"N","N","N","N",2,NA,24,"Superficial/other","N","II",3,37,20,21,96,NA,NA,257,9.17,37.9,96,68,110,80,110,"N",134,3.55,83,2,0,5,"Sham procedure",1
-"003-172",39,"M",16.9370318792578,1,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37.5,20,21,98,NA,NA,270,14.66,43.9,76,66,130,80,130,"N",141,3.86,74,0,0,-2,"Sham procedure",2
-"003-173",49,"M",20.8116545265349,2,"Y",15,4,NA,NA,"N","N","Y","N","Y","N",NA,"N","N","N","N","N","N",NA,"N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",3,37,24,21,96,NA,NA,401,6.74,40.4,96,80,120,90,120,"N",139,5.14,62,2,0,-1,"Sham procedure",3
-"003-174",24,"M",21.3382106386222,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,48,"Superficial/other","N","II",2,37.3,24,21,95,NA,NA,310,17.22,41.9,98,76,120,90,120,"N",137,3.51,94,1,0,3,"Intrathecal treatment",4
-"003-175",40,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,10,72,"Superficial/other","N","II",1,37,20,21,97,NA,NA,233,7.96,42.8,64,48,140,90,140,"N",143,3.33,63,3,0,-3,"Sham procedure",4
-"003-176",37,"M",23.8751147842057,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","III",1,38,24,30,95,143,7.442,295,8.63,42.9,104,72,140,90,140,"N",141,4.37,89,0,0,-2,"Intrathecal treatment",3
-"003-177",48,"M",20.8116545265349,2,"Y",32,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","Y","III",2,37.4,24,21,94,NA,NA,278,17.1,42.9,96,88,140,80,140,"N",139,5,137,5,1,9,"Intrathecal treatment",4
-"003-178",43,"M",23.4375,2,"Y",28,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,331,10.03,44.6,96,76,140,100,140,"N",138,3.7,85,2,0,5,"Intrathecal treatment",2
-"003-179",26,"M",18.3391003460208,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",1,37.5,20,21,98,NA,NA,274,8.16,41.8,74,52,100,70,100,"N",134,4.17,71,0,0,-5,"Sham procedure",3
-"003-180",50,"M",23.4375,2,"Y",4,2,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,NA,48,"Superficial/other","N","II",2,38,24,21,96,NA,NA,256,9.07,44,110,96,140,80,140,"N",146,3.21,88,5,0,1,"Intrathecal treatment",4
-"003-181",34,"M",20.8209399167162,2,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,14,NA,"Superficial/other","N","I",2,37,20,21,98,NA,NA,441,12.88,42,92,86,140,90,140,"N",132,3.61,75,0,0,5,"Intrathecal treatment",3
-"003-182",63,"M",20.5693296602388,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,6,24,"Superficial/other","Y","III",1,37.6,24,30,97,89,7.534,357,5.1,29.4,88,76,130,80,130,"N",137,2.63,56,8,0,-1,"Intrathecal treatment",4
-"003-183",26,"M",17.3010380622837,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,187,8.68,44.6,72,68,120,80,120,"N",142,3.68,66,0,0,-5,"Sham procedure",5
-"003-184",51,"M",20.3244382551093,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,NA,"Superficial/other","N","I",1,37,20,21,96,NA,NA,225,8.87,43.2,92,72,120,80,120,"N",138,3.5,93,2,0,0,"Intrathecal treatment",1
-"003-185",62,"M",19.0039083509627,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N",3,10,NA,"Superficial/other","N","I",3,37.4,20,21,96,NA,NA,146,64.1,37.6,88,72,140,80,140,"N",137,3.78,61,7,1,2,"Intrathecal treatment",5
-"003-186",62,"F",18.8775510204082,1,"Y",14,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",1,39,20,30,99,129,7.617,250,7.3,38,96,72,110,70,110,"N",144,3.86,60,9,0,-2,"Sham procedure",4
-"003-187",43,"M",17.89802289282,2,"Y",16,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,17,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,122,4.04,35.5,96,88,130,80,130,"N",138,3.14,54,1,1,-2,"Sham procedure",5
-"003-188",29,"M",23.8751147842057,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",6,3,72,"Superficial/other","N","II",1,37,20,21,95,NA,NA,380,8.03,39,88,60,150,70,150,"N",137,3.92,69,5,0,-2,"Sham procedure",1
-"003-189",57,"M",20.2847985719502,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","N","II",1,37,22,21,98,NA,NA,294,6.25,41,104,52,140,90,140,"N",138,3.6,79,3,0,-2,"Sham procedure",1
-"003-190",64,"M",20.0796012764889,2,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,NA,"Superficial/other","N","I",2,37.3,20,21,97,NA,NA,230,7.85,42.9,72,68,120,80,120,"N",139,3.8,88,3,0,-3,"Sham procedure",1
-"003-191",65,"M",16.6530612244898,2,"Y",20,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,5,24,"Superficial/other","N","II",2,37.6,20,21,96,NA,NA,197,7.23,48.6,116,88,120,90,120,"N",139,3.4,63,14,0,5,"Intrathecal treatment",2
-"003-192",30,"M",17.5770686857761,1,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N",2,5,24,"Superficial/other","N","II",2,38.5,24,30,97,98,7.474,370,12.2,40.7,148,100,160,110,160,"N",140,3.2,76,7,0,11,"Intrathecal treatment",2
-"003-193",47,"M",20.2020202020202,2,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,48,"Superficial/other","N","II",2,37.4,20,21,95,NA,NA,173,7.02,46.1,80,72,130,80,130,"N",138,3.81,64,3,0,-3,"Sham procedure",4
-"003-194",57,"M",22.038567493113,2,"Y",7,4,"N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",9,6,96,"Superficial/other","N","II",2,37,20,21,98,NA,NA,227,6.29,45.1,80,60,140,100,140,"N",134,3.9,63,10,0,-1,"Sham procedure",1
-"003-195",45,"M",17.3061224489796,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",5,30,48,"Superficial/other","N","II",2,37.4,23,21,96,NA,NA,327,7.32,37.6,98,80,140,90,140,"N",140,3.27,67,8,0,0,"Intrathecal treatment",2
-"003-196",41,"M",26.171875,1,"Y",6,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,10,NA,"Superficial/other","N","I",2,37.1,22,21,96,NA,NA,373,5.86,42.2,86,80,140,90,140,"N",140,3.96,94,5,0,0,"Intrathecal treatment",1
-"003-197",60,"M",18.8271110398974,2,"Y",16,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,9,96,"Superficial/other","N","II",2,37.6,20,21,94,NA,NA,261,9.67,43,132,88,200,100,200,"N",141,4.03,89,8,0,6,"Sham procedure",3
-"003-198",54,"M",18.7304890738814,2,"Y",24,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,7,48,"Superficial/other","Y","III",1,39,30,40,98,127,7.415,401,11.5,32.9,142,88,140,80,140,"N",139,3.37,45,12,1,9,"Intrathecal treatment",3
-"003-199",50,"M",19.9432125473229,2,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,30,24,"Superficial/other","N","II",1,37,20,21,97,NA,NA,274,8.92,40.7,72,48,120,80,120,"N",145,3.99,81,2,0,-5,"Intrathecal treatment",1
-"003-200",43,"M",20.8116545265349,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,NA,"Superficial/other","N","I",1,37,20,21,98,NA,NA,285,6.73,42.9,72,60,120,80,120,"N",136,3.87,69,0,0,-6,"Sham procedure",4
-"003-201",42,"M",17.4747174301011,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,3,24,"Superficial/other","N","II",1,37,20,21,99,NA,NA,325,15.5,43,88,84,120,70,120,"N",142,3.68,62,1,0,0,"Sham procedure",3
-"003-202",56,"M",23.8751147842057,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y",2,6,24,"Superficial/other","N","II",1,38.6,24,30,96,NA,NA,289,14.9,46,96,88,130,90,130,"N",140,3.83,88,10,0,0,"Intrathecal treatment",5
-"003-203",35,"M",26.9274376417234,1,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N",2,2,24,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,218,10.9,43.2,88,74,130,90,130,"N",143,3.72,84,0,0,5,"Intrathecal treatment",2
-"003-204",67,"M",28.2828282828283,2,"Y",36,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",3,37.6,30,21,95,NA,NA,290,8.94,42.8,102,82,160,100,160,"N",134,3.71,74,8,0,10,"Sham procedure",4
-"003-205",46,"M",24.609375,2,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,NA,240,"Superficial/other","N","II",1,37,22,21,95,NA,NA,226,8.7,40.2,72,56,140,80,140,"N",134,3.85,75,2,0,-4,"Sham procedure",2
-"003-206",19,"M",23.1404958677686,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,48,"Superficial/other","N","II",1,37,20,21,97,NA,NA,210,9.05,42,84,68,120,70,120,"N",141,3.89,91,0,0,-5,"Intrathecal treatment",2
-"003-207",53,"M",16.8962350780533,2,"Y",12,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,48,"Superficial/other","N","II",1,37.4,20,21,98,NA,NA,401,9.43,38,72,68,100,60,100,"N",141,3.78,72,2,0,0,"Sham procedure",1
-"003-208",54,"M",23.566632231405,1,"Y",65,2,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",2,6,48,"Superficial/other","N","III",2,39.4,32,40,90,NA,NA,287,6.38,42.1,112,70,160,80,160,"N",140,3.19,58,9,1,15,"Sham procedure",1
-"003-209",19,"M",22.6799524092802,2,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,NA,48,"Superficial/other","N","II",1,37.5,22,21,98,NA,NA,386,8.19,46.3,92,52,130,80,130,"N",140,3.3,69,2,0,-5,"Intrathecal treatment",3
-"003-210",37,"M",21.2305720237141,1,"Y",25,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,30,99,144,7.48,248,11.4,43.2,104,80,120,80,120,"N",139,3.65,82,0,0,1,"Intrathecal treatment",5
-"003-211",56,"M",25.3443526170799,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,14,96,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,174,5.29,40.8,70,52,120,80,120,"N",138,4.48,81,3,0,-5,"Sham procedure",5
-"003-212",69,"F",22.2222222222222,1,"Y",5,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,96,"Superficial/other","N","II",1,39,22,21,96,NA,NA,197,8.28,40.5,88,68,140,80,140,"N",142,3.71,74,8,0,0,"Intrathecal treatment",1
-"003-213",48,"M",22.65625,2,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",1,37.5,20,21,94,NA,NA,344,6.74,43.9,96,84,140,90,140,"N",142,3.7,66,2,0,2,"Intrathecal treatment",4
-"003-214",42,"M",22.4913494809689,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,96,"Superficial/other","N","I",1,37.4,20,21,97,NA,NA,217,8.67,41.6,80,68,100,60,100,"N",141,3.6,87,0,0,0,"Sham procedure",2
-"003-215",27,"M",21.2585034013605,2,"Y",6,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,18,48,"Superficial/other","N","II",1,37.4,22,21,97,NA,NA,246,10.2,40,84,72,120,80,120,"N",136,3.65,65,0,0,-5,"Sham procedure",3
-"003-216",39,"M",19.2233756247597,1,"Y",10,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,24,"Superficial/other","N","II",3,37.4,20,21,97,NA,NA,187,10.8,38.5,80,76,120,80,120,"N",143,3.26,111,1,1,-1,"Intrathecal treatment",3
-"003-217",26,"M",18.4425458240807,1,"Y",11,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,NA,96,"Superficial/other","N","III",2,39.5,19,30,92,NA,NA,313,8.8,44.4,116,76,120,80,120,"N",137,3.58,88,5,0,5,"Sham procedure",2
-"003-218",42,"M",31.1418685121107,2,"Y",6,2,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",1,9,24,"Superficial/other","N","II",2,38.5,22,21,97,NA,NA,335,9.71,43.2,100,88,140,80,140,"N",145,3.67,86,6,0,5,"Intrathecal treatment",5
-"003-219",46,"M",24.21875,1,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",1,37,20,21,96,NA,NA,292,7.46,46,88,84,140,90,140,"N",140,3.71,63,3,0,-3,"Intrathecal treatment",4
-"003-220",49,"M",23.2334561768947,1,"Y",16,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,30,24,"Superficial/other","N","II",2,37,18,21,97,NA,NA,180,7.39,41.1,92,90,110,60,100,"N",139,3.36,73,3,0,-2,"Sham procedure",1
-"003-221",41,"M",18.1312194299207,2,"Y",26,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,12,"Superficial/other","N","II",1,37.4,26,21,95,NA,NA,339,6.97,42.8,100,88,130,80,130,"N",137,3.95,59,1,0,0,"Intrathecal treatment",4
-"003-222",68,"F",20,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","III",1,37.6,30,40,80,170,7.492,368,11,40.4,96,80,140,80,140,"N",138,3.07,68,7,2,-3,"Sham procedure",3
-"003-223",55,"M",20.3125,2,"Y",15,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,8,48,"Superficial/other","N","II",3,38.4,20,21,98,NA,NA,637,11.7,30.2,94,86,140,90,140,"N",139,3.81,62,8,0,7,"Sham procedure",5
-"003-224",37,"M",19.8176773682124,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,4,48,"Superficial/other","N","II",1,37,20,21,98,NA,NA,288,8.93,40.4,88,70,130,90,130,"N",142,3.56,63,0,0,-5,"Intrathecal treatment",5
-"003-225",52,"M",20.8116545265349,2,"Y",18,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,15,96,"Superficial/other","N","II",1,37.6,20,21,96,NA,NA,263,8.69,44,96,72,120,80,120,"N",143,3.6,86,2,0,-5,"Sham procedure",4
-"003-226",65,"F",21.3333333333333,2,"Y",11,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,8,48,"Superficial/other","N","II",2,37.4,16,21,94,NA,NA,364,6.43,35,84,76,130,80,130,"N",134,3.92,42,7,0,-2,"Sham procedure",5
-"003-227",47,"M",23.828125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,4,24,"Superficial/other","N","II",1,37.6,22,21,95,NA,NA,328,8.18,40.2,80,68,130,70,130,"N",141,3.3,74,3,0,0,"Intrathecal treatment",1
-"003-228",52,"M",27.0551508844953,2,"Y",15,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.6,24,21,97,NA,NA,352,9.01,37.7,96,80,120,80,120,"N",145,3.44,87,3,0,0,"Intrathecal treatment",5
-"003-229",66,"M",17.0655567117586,1,"Y",10,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",2,38,22,21,96,NA,NA,217,7.91,37.4,100,80,140,80,140,"N",144,3.15,78,6,0,0,"Sham procedure",4
-"003-230",53,"M",20.8116545265349,2,"Y",46,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","III",2,37.4,24,30,95,NA,NA,279,19.8,41,90,76,140,80,140,"N",137,3.89,68,3,0,5,"Sham procedure",5
-"003-231",52,"M",26.953125,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,5,96,"Superficial/other","N","II",2,37,20,21,95,NA,NA,283,13.5,41.3,104,100,150,100,150,"N",135,3.51,81,4,0,2,"Intrathecal treatment",5
-"003-232",48,"M",21.484375,2,"Y",57,3,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,4,72,"Superficial/other","N","II",2,38.5,26,30,95,80,7.43,228,11,41.2,128,124,150,90,150,"N",139,4.16,70,8,0,4,"Sham procedure",5
-"003-233",49,"M",19.7210369679802,2,"Y",12,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,7,24,"Superficial/other","N","II",2,38,20,30,93,98,7.321,271,9.95,42.3,132,84,170,92,170,"N",139,4.35,77,8,0,6,"Sham procedure",3
-"003-234",43,"M",21.875,2,"Y",13,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,10,24,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,332,21.3,40,96,84,160,100,160,"N",132,3.66,107,4,0,7,"Intrathecal treatment",4
-"003-235",38,"M",25.390625,2,"Y",9,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,37,20,21,97,NA,NA,313,12.2,37.8,88,68,150,100,150,"N",141,4.1,136,4,1,7,"Intrathecal treatment",5
-"003-236",29,"M",19.1000918273646,1,"Y",7,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",10,NA,120,"Superficial/other","N","II",1,37.5,20,21,96,NA,NA,203,5.65,42.8,84,64,120,70,120,"N",143,3.68,77,0,0,-6,"Intrathecal treatment",5
-"003-237",59,"M",13.5904499540863,1,"Y",24,4,"N","N","N",NA,"N","N","Y","N","N","N","N","N","N","N","N","N","Y","N","N","N","Y","N","N",4,NA,24,"Superficial/other","N","II",3,38,26,33,98,123,7.351,220,17.2,41.5,124,92,180,40,70,"N",150,3.32,218,15,4,8,"Sham procedure",4
-"003-238",48,"M",34.765625,2,"Y",31,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,11,48,"Superficial/other","N","II",2,37,20,21,96,NA,NA,274,5.83,51.8,88,64,130,80,130,"N",144,4.32,96,4,0,-2,"Sham procedure",4
-"003-239",35,"M",21.2278876170656,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,23,144,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,246,6.57,42.6,72,62,120,80,120,"N",139,3.93,68,0,0,-6,"Intrathecal treatment",3
-"003-240",39,"M",27.34375,2,"Y",8,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,48,"Superficial/other","N","II",2,37.4,20,21,97,NA,NA,184,6.83,44.3,100,88,120,60,120,"N",136,3.39,88,1,0,-3,"Intrathecal treatment",3
-"003-241",19,"M",18.491124260355,2,"Y",13,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,16,24,"Superficial/other","N","II",1,37.4,26,21,98,NA,NA,380,16.8,47.9,86,74,130,90,130,"N",140,3.27,74,4,0,-5,"Intrathecal treatment",4
-"003-242",42,"M",20.2812330989724,2,"Y",8,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,9,48,"Superficial/other","N","II",1,37,20,21,96,NA,NA,188,14.4,40.1,96,72,100,60,100,"N",139,2.9,71,2,0,-6,"Intrathecal treatment",1
-"003-243",61,"M",19.921875,2,"Y",5,4,NA,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",12,NA,288,"Superficial/other","N","II",1,37,20,21,95,NA,NA,315,6.67,40.4,96,72,150,90,150,"N",136,4.32,88,5,0,-2,"Sham procedure",4
-"003-244",53,"F",21.875,2,"Y",19,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,7,24,"Superficial/other","N","II",2,39,24,30,95,112,7.46,354,10.9,37.2,98,84,160,90,160,"N",138,4,60,7,0,11,"Intrathecal treatment",2
-"003-245",38,"M",25,2,"Y",7,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",14,9,168,"Superficial/other","N","II",2,38,22,21,98,NA,NA,205,7.09,38,100,68,130,80,130,"N",141,3.05,66,1,0,-3,"Intrathecal treatment",2
-"003-246",57,"M",19.4674012855831,1,"Y",17,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.6,24,30,97,NA,NA,347,10.9,47.9,92,76,160,100,160,"N",134,4.3,75,6,0,4,"Sham procedure",4
-"003-247",56,"F",22.8928199791883,2,"Y",11,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,3,48,"Superficial/other","N","II",2,37.5,21,21,97,NA,NA,281,6.02,43.4,72,64,160,100,160,"N",134,4.33,51,7,0,2,"Sham procedure",1
-"003-248",62,"M",17.0205141986921,1,"Y",37,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,326,9.82,46.4,74,68,120,80,120,"N",134,4.26,58,4,0,3,"Sham procedure",1
-"003-249",36,"M",22.5981404958678,2,"Y",31,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,24,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,308,9.1,44.8,116,110,140,90,140,"N",139,3.6,80,2,0,4,"Sham procedure",2
-"003-250",46,"M",20.2020202020202,2,"Y",22,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,7,120,"Superficial/other","N","III",1,38.4,22,40,88,130,7.48,252,8.67,36.7,96,76,140,80,140,"N",142,3.1,62,3,2,-4,"Intrathecal treatment",4
-"003-251",30,"M",22.265625,1,"Y",5,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,30,72,"Superficial/other","N","II",2,37,20,21,97,NA,NA,224,10.4,46.8,86,60,110,70,110,"N",137,3.48,63,2,0,-2,"Sham procedure",5
-"003-252",42,"M",23.1833910034602,2,"Y",24,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,5,48,"Superficial/other","N","III",2,37.7,20,35,88,108,7.38,246,7.45,49.9,140,84,150,100,150,"N",136,4.25,74,6,1,11,"Intrathecal treatment",3
-"003-253",49,"M",21.8299521999323,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",7,NA,144,"Superficial/other","N","II",2,37.6,26,21,95,NA,NA,265,10.1,45.14,124,75,160,90,160,"N",139,3.76,84,7,0,5,"Intrathecal treatment",1
-"003-255",42,"M",17.0068027210884,2,"Y",3,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",8,NA,72,"Superficial/other","N","II",2,37.5,20,21,96,NA,NA,205,11.2,46.4,88,78,120,80,120,"N",135,4.04,78,2,0,3,"Sham procedure",3
-"003-256",48,"M",19.53125,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N",NA,"N","Y","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",2,37.6,22,21,96,NA,NA,315,7.82,39.4,92,86,130,90,130,"N",133,3.8,75,4,0,2,"Intrathecal treatment",3
-"003-257",59,"F",17.89802289282,2,"Y",21,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,24,"Superficial/other","N","II",1,38,22,30,96,150,7.51,335,6.56,34.4,74,64,140,80,140,"N",134,3.6,57,1,0,-6,"Intrathecal treatment",2
-"003-258",34,"M",19.53125,2,"Y",19,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,5,72,"Superficial/other","N","II",1,37.7,22,21,95,NA,NA,317,11.8,47.2,84,72,120,80,120,"N",140,3.82,72,2,0,2,"Sham procedure",4
-"003-259",41,"M",20.2020202020202,2,"Y",28,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,37.5,24,21,96,NA,NA,231,10.9,47.2,86,70,140,80,140,"N",143,3.42,83,0,0,-5,"Sham procedure",1
-"003-260",23,"M",22.4913494809689,2,"Y",9,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",4,16,72,"Superficial/other","N","II",1,37.5,20,21,97,NA,NA,257,13.3,42.4,76,60,110,70,110,"N",139,3.66,78,2,0,-3,"Intrathecal treatment",3
-"003-261",48,"M",20.9366391184573,2,"Y",7,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",21,NA,408,"Superficial/other","N","II",2,37,20,21,97,NA,NA,210,6.42,41.4,92,84,110,60,100,"N",137,3.76,78,5,0,7,"Sham procedure",5
-"003-262",46,"M",21.3039485766759,1,"Y",49,4,"Y","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,2,24,"Superficial/other","N","III",2,37.3,22,30,94,68,7.45,179,8.85,44.6,88,72,200,120,200,"N",141,3.87,69,8,1,4,"Intrathecal treatment",5
-"003-263",51,"M",16.796875,2,"Y",34,4,"N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",1,9,24,"Superficial/other","N","II",2,37.6,26,30,98,107,7.32,456,15.5,40.7,108,88,100,50,80,"N",144,3.87,NA,3,0,4,"Sham procedure",5
-"003-264",57,"M",20.1955782312925,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,8,24,"Superficial/other","N","II",1,38,22,30,96,103,7.33,183,8.05,40,96,88,150,80,150,"N",144,3.64,77,0,0,-3,"Intrathecal treatment",2
-"003-265",28,"M",19.4330132601738,2,"Y",17,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",6,7,48,"Superficial/other","N","II",2,37.4,20,21,96,NA,NA,247,7,42.9,88,72,130,80,130,"N",138,3.6,77,8,0,4,"Intrathecal treatment",5
-"003-266",67,"M",24.092970521542,2,"Y",13,4,"Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",5,10,96,"Superficial/other","N","II",3,37,20,21,98,NA,NA,232,7.71,40.3,90,74,190,105,190,"N",137,3.7,56,6,0,-2,"Sham procedure",5
-"003-267",43,"M",16.796875,2,"Y",14,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",3,21,24,"Superficial/other","N","II",2,37,18,21,96,NA,NA,317,8.22,37.2,96,72,120,70,110,"N",140,3.21,57,8,0,3,"Intrathecal treatment",1
-"003-268",59,"M",17.2635445362718,2,"Y",23,4,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","Y",2,6,72,"Superficial/other","N","II",2,37,22,21,96,NA,NA,398,8.5,37.6,82,68,120,80,120,"N",135,3.7,88,8,1,8,"Sham procedure",5
-"003-269",42,"M",23.6244474927602,2,"Y",NA,3,"N","N","N","N","N","N","Y","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",2,NA,12,"Superficial/other","N","II",2,37.4,20,40,92,79,7.24,303,9.58,47.3,110,92,160,90,160,"N",140,4.15,77,5,0,3,"Sham procedure",1
-"003-270",57,"M",19.53125,2,"Y",20,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",5,10,96,"Superficial/other","Y","II",1,37,20,21,95,NA,NA,350,8.97,40.1,76,60,160,100,160,"N",141,3.58,67,15,1,4,"Sham procedure",2
-"003-271",66,"F",26.171875,2,"Y",18,2,"Y","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","Y","N","N","N","N","N","N","N",3,12,48,"Superficial/other","N","II",3,37.5,22,21,96,NA,NA,313,19.1,33.1,100,92,180,100,180,"N",128,4,118,5,0,1,"Intrathecal treatment",1
-"003-272",23,"M",22.1002895900015,2,"Y",23,4,"N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N","N",3,21,48,"Superficial/other","N","II",1,38.2,20,30,99,144,7.46,305,11.6,44.9,120,76,140,100,140,"N",143,3.2,108,NA,NA,NA,"Intrathecal treatment",1

From 0e56c7242fb9eb9a69b637e405b05a294c4a065e Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 4 Jul 2024 15:24:11 +0700
Subject: [PATCH 117/193] Fix bug in ss_flextable

---
 R/ssformat.R | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 284b09b..c87497b 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -181,9 +181,11 @@ ss_flextable <- function(sstable, ...){
 }
 
 #' @rdname ss_flextable
+#' @method ss_flextable list
+#' @method ss_flextable ss_obj
 #' @param add_footer additional footer lines to be appended to object footers
 #' @export
-ss_flextable.list <- function(sstable, add_footer = NULL,...){
+ss_flextable.list <- ss_flextable.ss_obj <- function(sstable, add_footer = NULL,...){
   ss_flextable(sstable$table, footer = c(sstable$footer, add_footer), ...)
 }
 

From 7569b76ee5a450f22eb3f26d61f0513c09126c5f Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 4 Jul 2024 15:31:49 +0700
Subject: [PATCH 118/193] add method for ss_obj

---
 NAMESPACE           | 1 +
 R/ssformat.R        | 8 ++++++--
 man/ss_flextable.Rd | 3 +++
 3 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/NAMESPACE b/NAMESPACE
index 167e3e7..7d77edf 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -29,6 +29,7 @@ S3method(simple_relevel,data.frame)
 S3method(simple_relevel,default)
 S3method(ss_flextable,default)
 S3method(ss_flextable,list)
+S3method(ss_flextable,ss_obj)
 S3method(ss_huxtable,default)
 S3method(ss_huxtable,list)
 S3method(summarise_f,data.frame)
diff --git a/R/ssformat.R b/R/ssformat.R
index c87497b..ecac2ac 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -182,13 +182,17 @@ ss_flextable <- function(sstable, ...){
 
 #' @rdname ss_flextable
 #' @method ss_flextable list
-#' @method ss_flextable ss_obj
 #' @param add_footer additional footer lines to be appended to object footers
 #' @export
-ss_flextable.list <- ss_flextable.ss_obj <- function(sstable, add_footer = NULL,...){
+ss_flextable.list <- function(sstable, add_footer = NULL,...){
   ss_flextable(sstable$table, footer = c(sstable$footer, add_footer), ...)
 }
 
+#' @rdname ss_flextable
+#' @method ss_flextable ss_obj
+#' @export
+ss_flextable.ss_obj <- ss_flextable.list
+
 #' @rdname ss_flextable
 #' @export
 ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
diff --git a/man/ss_flextable.Rd b/man/ss_flextable.Rd
index 3e08984..06efab2 100644
--- a/man/ss_flextable.Rd
+++ b/man/ss_flextable.Rd
@@ -3,6 +3,7 @@
 \name{ss_flextable}
 \alias{ss_flextable}
 \alias{ss_flextable.list}
+\alias{ss_flextable.ss_obj}
 \alias{ss_flextable.default}
 \title{Create summary table using flextable package.}
 \usage{
@@ -10,6 +11,8 @@ ss_flextable(sstable, ...)
 
 \method{ss_flextable}{list}(sstable, add_footer = NULL, ...)
 
+\method{ss_flextable}{ss_obj}(sstable, add_footer = NULL, ...)
+
 \method{ss_flextable}{default}(sstable, footer = NULL, bg = "#F2EFEE", ...)
 }
 \arguments{

From 62004b48eba3421fbe0513edaaa4c68f52a4b7d8 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 5 Jul 2024 17:19:31 +0700
Subject: [PATCH 119/193] Removal of missing outcome

---
 R/sstable.R | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/R/sstable.R b/R/sstable.R
index eaf2d85..41c034f 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1049,6 +1049,12 @@ sstable.survcomp <- function(
   # Initialise the table --------------------------
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
+  if (sum(complete.cases(model.frame(update(model, .~1), data=data))) < nrow(data))
+    warning(sprintf('Missing values on observation(s) %s',
+                    paste(
+                      which(!complete.cases(model.frame(update(model, .~1), data=data))),
+                      collapse=', ')))
+  data <- data[complete.cases(model.frame(update(model, .~1), data=data)),]
   compare.method <- match.arg(compare.method)
   reference.arm <- match.arg(reference.arm)
 

From ac3ca0500d97db5d5b0382dc1425bbd3400f005b Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 5 Jul 2024 17:31:59 +0700
Subject: [PATCH 120/193] remove NA for sstable.survcomp

---
 R/sstable.R | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 41c034f..6a5026c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1049,12 +1049,11 @@ sstable.survcomp <- function(
   # Initialise the table --------------------------
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
-  if (sum(complete.cases(model.frame(update(model, .~1), data=data))) < nrow(data))
+  NAs <- model.frame(update(model, .~1), data=data) |> attr('na.action') |> unname()
+  if (length(NAs))
     warning(sprintf('Missing values on observation(s) %s',
-                    paste(
-                      which(!complete.cases(model.frame(update(model, .~1), data=data))),
-                      collapse=', ')))
-  data <- data[complete.cases(model.frame(update(model, .~1), data=data)),]
+                    paste(NAs,collapse=', ')))
+  data <- data[seq_len(nrow(data))[-NAs],]
   compare.method <- match.arg(compare.method)
   reference.arm <- match.arg(reference.arm)
 

From 7fd893067249e04c19e4af63685e4a338a2b2a77 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 5 Jul 2024 17:35:39 +0700
Subject: [PATCH 121/193] Update sstable.R

---
 R/sstable.R | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 6a5026c..ad0600e 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1050,10 +1050,12 @@ sstable.survcomp <- function(
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
   NAs <- model.frame(update(model, .~1), data=data) |> attr('na.action') |> unname()
-  if (length(NAs))
+  if (length(NAs)){
     warning(sprintf('Missing values on observation(s) %s',
                     paste(NAs,collapse=', ')))
-  data <- data[seq_len(nrow(data))[-NAs],]
+    data <- data[seq_len(nrow(data))[-NAs],]
+  }
+
   compare.method <- match.arg(compare.method)
   reference.arm <- match.arg(reference.arm)
 

From 47ae0e821f6ccb88e1bd5ccf1dffca72bf97e57c Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 5 Jul 2024 17:43:03 +0700
Subject: [PATCH 122/193] Update sstable.R

---
 R/sstable.R | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/R/sstable.R b/R/sstable.R
index ad0600e..c39516d 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1387,6 +1387,12 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
 
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
+  NAs <- model.frame(update(model, .~1), data=data) |> attr('na.action') |> unname()
+  if (length(NAs)){
+    warning(sprintf('Missing values on observation(s) %s',
+                    paste(NAs,collapse=', ')))
+    data <- data[seq_len(nrow(data))[-NAs],]
+  }
   compare.method <- match.arg(compare.method)
 
   # arm.var <- if (length(base.model[[3]]) > 1) {

From 60358ce4d65d518e91679052556d6104cf04467d Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Fri, 5 Jul 2024 17:45:21 +0700
Subject: [PATCH 123/193] Update sstable.R

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index c39516d..a81dce4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1387,7 +1387,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
 
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
-  NAs <- model.frame(update(model, .~1), data=data) |> attr('na.action') |> unname()
+  NAs <- model.frame(update(base.model, .~1), data=data) |> attr('na.action') |> unname()
   if (length(NAs)){
     warning(sprintf('Missing values on observation(s) %s',
                     paste(NAs,collapse=', ')))

From d29421e2248df8752ae0f10dfd094e7e8a16d2f7 Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Sat, 6 Jul 2024 23:54:38 +0700
Subject: [PATCH 124/193] Update sstable.R

---
 R/sstable.R | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/R/sstable.R b/R/sstable.R
index eaf2d85..5f6520d 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -596,6 +596,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
+  # Check if grade.var is not NULL and has any NA values
+  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
+    # Replace NA values with "Grade NA"
+    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
+  }
+
   tmp <- match.call()
   if (length(aetype.var) > 1){
     env <- rlang::caller_env()

From 7f3884d09c44ab28ce5d3ef0c0af3e15419d93cc Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Sun, 7 Jul 2024 00:34:39 +0700
Subject: [PATCH 125/193] Update ae_data.csv

---
 inst/extdata/ae_data.csv | 1070 +++++++++++++++++++-------------------
 1 file changed, 535 insertions(+), 535 deletions(-)

diff --git a/inst/extdata/ae_data.csv b/inst/extdata/ae_data.csv
index 24f1471..1adab0e 100644
--- a/inst/extdata/ae_data.csv
+++ b/inst/extdata/ae_data.csv
@@ -1,535 +1,535 @@
-"usubjid","ctcaename","ctcaegrade","original_ctcaegrade","posrelunrel","unexp"
-"003-001","Nausea","I","I","POSREL","N"
-"003-003","Back pain","I","I","POSREL","N"
-"003-004","Viral infection","I","NA","UNREL","Y"
-"003-006","Headache","I","I","POSREL","N"
-"003-007","Phlebitis","I","I","UNREL","N"
-"003-029","Gastritis","II","II","UNREL","Y"
-"003-034","Constipation","II","II","UNREL","N"
-"003-035","Constipation","II","II","UNREL","N"
-"003-044","Gastritis","II","NA","UNREL","Y"
-"003-073","Hemorrhoids","I","I","UNREL","N"
-"003-087","Skin allergy","II","NA","REL","N"
-"003-095","Phlebitis","I","I","UNREL","N"
-"003-105","pharyngitis","II","II","UNREL","Y"
-"003-109","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-122","Headache","I","I","POSREL","N"
-"003-135","Phlebitis","I","I","UNREL","N"
-"003-141","Headache","I","I","POSREL","N"
-"003-144","UTI","II","NA","UNREL","N"
-"003-150","Headache","I","I","POSREL","N"
-"003-167","Headache","I","I","POSREL","N"
-"003-184","Hemorrhoids","I","I","UNREL","N"
-"003-242","Fever","I","I","POSREL","N"
-"003-244","Fever","I","I","POSREL","N"
-"003-261","Skin allergy","II","NA","POSREL","N"
-"003-265","Constipation","II","II","UNREL","N"
-"003-004","Neuralgia","II","II","UNREL","Y"
-"003-006","Hiccup","II","II","UNREL","Y"
-"003-007","Constipation","II","II","UNREL","N"
-"003-014","Skin allergy","II","NA","POSREL","N"
-"003-015","Constipation","II","II","UNREL","N"
-"003-023","Constipation","II","II","UNREL","N"
-"003-027","Myocardial ischaemia","II","NA","UNREL","Y"
-"003-036","UTI","II","NA","UNREL","N"
-"003-037","Oral infection","II","NA","UNREL","Y"
-"003-072","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-074","Skin allergy","II","NA","POSREL","N"
-"003-076","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-081","Otitis","II","NA","UNREL","Y"
-"003-084","UTI","II","NA","UNREL","N"
-"003-094","Headache","I","I","REL","N"
-"003-101","UTI","II","NA","UNREL","N"
-"003-103","UTI","II","NA","UNREL","N"
-"003-111","UTI","II","NA","UNREL","N"
-"003-118","Atrial thrombosis","II","NA","POSREL","N"
-"003-136","Spinal disc herniation","NA","NA","UNREL","Y"
-"003-141","Fever","I","I","POSREL","N"
-"003-159","Phlebitis","I","I","UNREL","N"
-"003-212","Fever","I","I","POSREL","N"
-"003-242","Headache","I","I","POSREL","N"
-"003-255","Sinusitis","II","II","UNREL","Y"
-"003-258","Oral infection","II","NA","UNREL","Y"
-"003-261","facial nerve disorder","II","II","UNREL","N"
-"003-007","Constipation","II","II","UNREL","N"
-"003-009","Urinary retention","II","II","UNREL","N"
-"003-027","UTI","II","NA","UNREL","N"
-"003-036","Constipation","II","II","UNREL","N"
-"003-038","Upper gastrointestinal hemorrhage","II","II","UNREL","Y"
-"003-046","Phlebitis","I","I","UNREL","N"
-"003-074","Hyperglycaemia","II","II","UNREL","N"
-"003-081","Constipation","II","II","UNREL","N"
-"003-094","Chills","I","I","REL","N"
-"003-101","Arthritis","II","II","UNREL","Y"
-"003-104","Skin allergy","II","NA","POSREL","N"
-"003-127","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-146","Aspiration pneumonia","II","NA","UNREL","N"
-"003-173","UTI","II","NA","UNREL","N"
-"003-255","Viral infection","II","NA","UNREL","Y"
-"003-258","Constipation","II","II","UNREL","N"
-"003-267","Skin allergy","II","NA","POSREL","N"
-"003-001","Constipation","II","II","UNREL","N"
-"003-005","UTI","II","NA","UNREL","N"
-"003-007","Arthritis","II","II","UNREL","Y"
-"003-017","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-019","Arthralgia","II","II","UNREL","Y"
-"003-028","Tracheal hemorrhage","II","II","UNREL","N"
-"003-038","UTI","II","NA","UNREL","N"
-"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-053","Hypotension","III","III","UNREL","N"
-"003-065","Nose bleed","II","NA","UNREL","N"
-"003-067","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-090","Wound infection","II","II","UNREL","N"
-"003-094","Fever","I","I","REL","N"
-"003-116","UTI","II","NA","UNREL","N"
-"003-117","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-123","Allergy","II","NA","POSREL","N"
-"003-127","UTI","II","NA","UNREL","N"
-"003-131","Hyponatremia","II","II","UNREL","N"
-"003-146","Cellulitis","I","I","UNREL","N"
-"003-164","Aspiration pneumonia","II","NA","UNREL","N"
-"003-168","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-172","Hyponatremia","II","II","UNREL","N"
-"003-173","Blood stream infection","II","NA","UNREL","N"
-"003-174","Otitis","II","NA","UNREL","Y"
-"003-176","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-177","Nose bleed","II","NA","UNREL","N"
-"003-178","Hypokalemia","II","II","UNREL","N"
-"003-179","Hypocalcemia","III","III","UNREL","N"
-"003-180","Hypokalemia","II","II","UNREL","N"
-"003-197","Skin allergy","II","NA","POSREL","N"
-"003-199","Torticolis","II","NA","UNREL","Y"
-"003-201","Hypokalemia","III","III","UNREL","N"
-"003-210","Tracheal hemorrhage","II","II","UNREL","N"
-"003-223","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-228","Hospital acquired pneumonia","II","NA","UNREL","N"
-"003-230","Myocarditis","II","NA","UNREL","Y"
-"003-247","UTI","II","NA","UNREL","N"
-"003-253","Hypokalemia","II","II","UNREL","N"
-"003-255","Constipation","II","II","UNREL","N"
-"003-264","Hypokalemia","II","II","UNREL","N"
-"003-267","Gastritis","II","NA","UNREL","Y"
-"003-001","Insomnia","II","II","UNREL","Y"
-"003-005","Myocardial ischaemia","II","NA","UNREL","Y"
-"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-024","Arthritis","II","II","UNREL","Y"
-"003-028","Constipation","II","II","UNREL","N"
-"003-031","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-032","Constipation","II","II","UNREL","N"
-"003-037","UTI","II","NA","UNREL","N"
-"003-040","Conjunctivitis","II","II","UNREL","N"
-"003-042","Tracheal hemorrhage","II","II","UNREL","N"
-"003-043","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-047","UTI","II","NA","UNREL","N"
-"003-048","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-053","Aspiration pneumonia","II","NA","UNREL","N"
-"003-056","Cardiac arrest","IV","IV","UNREL","N"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-082","UTI","II","NA","UNREL","N"
-"003-083","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-090","Phlebitis","I","I","UNREL","N"
-"003-091","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-092","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-096","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-098","Tracheal hemorrhage","I","I","UNREL","Y"
-"003-099","UTI","II","NA","UNREL","N"
-"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-115","UTI","II","NA","UNREL","N"
-"003-116","Skin allergy","II","NA","POSREL","N"
-"003-119","Voice alteration","I","I","UNREL","N"
-"003-131","Hypokalemia","II","II","UNREL","N"
-"003-133","UTI","II","NA","UNREL","N"
-"003-137","UTI","II","NA","UNREL","N"
-"003-139","Blood stream infection","II","NA","UNREL","N"
-"003-146","Arthritis","II","II","UNREL","Y"
-"003-152","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-153","Cardiac arrest","IV","IV","UNREL","N"
-"003-154","UTI","II","NA","UNREL","N"
-"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-163","Constipation","II","II","UNREL","N"
-"003-171","Hypokalemia","II","II","UNREL","N"
-"003-172","Hypokalemia","II","II","UNREL","N"
-"003-173","Hypokalemia","II","II","UNREL","N"
-"003-174","Hyponatremia","II","II","UNREL","N"
-"003-176","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-178","Necrotic wound","II","NA","UNREL","N"
-"003-180","Hypomagnesemia","I","I","UNREL","N"
-"003-186","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-187","Hypokalemia","II","II","UNREL","N"
-"003-191","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-192","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-201","Hypocalcemia","III","III","UNREL","N"
-"003-202","UTI","II","NA","UNREL","N"
-"003-203","Headache","I","I","POSREL","N"
-"003-210","Hypokalemia","II","II","UNREL","N"
-"003-213","Hypokalemia","II","II","UNREL","N"
-"003-214","Hypokalemia","II","II","UNREL","N"
-"003-217","Hypokalemia","II","II","UNREL","N"
-"003-218","Tracheal hemorrhage","I","I","UNREL","N"
-"003-221","Hypokalemia","II","II","UNREL","N"
-"003-222","Hypokalemia","II","II","UNREL","N"
-"003-227","Hypokalemia","II","II","UNREL","N"
-"003-228","Hypokalemia","II","II","UNREL","N"
-"003-229","Hypocalcemia","III","III","UNREL","N"
-"003-232","Hypokalemia","III","III","UNREL","N"
-"003-233","Hypocalcemia","II","II","UNREL","N"
-"003-238","Hypokalemia","II","II","UNREL","N"
-"003-247","Constipation","II","II","UNREL","N"
-"003-249","Hematuria","II","II","UNREL","Y"
-"003-250","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-252","Hypokalemia","II","II","UNREL","N"
-"003-259","Subcutaneous emphysema","I","I","UNREL","N"
-"003-263","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-264","Hypocalcemia","III","III","UNREL","N"
-"003-268","Hypokalemia","II","II","UNREL","N"
-"003-269","Heat stroke","NA","NA","UNREL","N"
-"003-270","Hypokalemia","II","II","UNREL","N"
-"003-272","Hypomagnesemia","I","I","UNREL","N"
-"003-001","UTI","II","NA","UNREL","N"
-"003-010","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-011","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-013","Skin allergy","I","NA","POSREL","N"
-"003-018","UTI","II","NA","UNREL","N"
-"003-021","Constipation","II","II","UNREL","N"
-"003-024","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Myocardial ischaemia","IV","NA","UNREL","N"
-"003-026","Atrial fibrillation","II","II","UNREL","Y"
-"003-027","Constipation","II","II","UNREL","N"
-"003-028","Dizziness","II","II","UNREL","Y"
-"003-032","Tracheal hemorrhage","II","II","UNREL","N"
-"003-040","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-042","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-050","Failed extubation","NA","NA","UNREL","Y"
-"003-061","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-062","Blood stream infection","II","NA","UNREL","N"
-"003-063","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-068","Blood stream infection","II","NA","UNREL","N"
-"003-072","Appendicitis","III","III","UNREL","N"
-"003-077","UTI","II","NA","UNREL","N"
-"003-079","UTI","II","NA","UNREL","Y"
-"003-082","Constipation","II","II","UNREL","N"
-"003-083","UTI","II","NA","UNREL","N"
-"003-090","Conjunctivitis","II","II","UNREL","N"
-"003-091","Tracheal hemorrhage","II","II","UNREL","N"
-"003-092","Deep vein thrombosis","II","NA","POSREL","N"
-"003-098","Nose bleed","II","II","UNREL","Y"
-"003-107","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-112","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-115","Voice alteration","I","I","UNREL","N"
-"003-116","Voice alteration","I","I","UNREL","N"
-"003-128","Hemorrhoids","II","II","UNREL","N"
-"003-146","Arthritis","II","II","UNREL","N"
-"003-148","Blood stream infection","II","NA","UNREL","N"
-"003-152","Atrial fibrillation","II","II","UNREL","Y"
-"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-157","Blood stream infection","II","NA","UNREL","N"
-"003-161","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-164","Hypokalemia","II","II","UNREL","N"
-"003-168","Blood stream infection","II","NA","UNREL","N"
-"003-169","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-171","UTI","II","NA","UNREL","N"
-"003-174","Hypocalcemia","III","III","UNREL","N"
-"003-176","Hypocalcemia","III","III","UNREL","N"
-"003-177","Hyponatremia","II","II","UNREL","N"
-"003-178","Myocarditis","II","NA","UNREL","Y"
-"003-182","Hypokalemia","II","II","UNREL","N"
-"003-186","Hypokalemia","II","II","UNREL","N"
-"003-187","Hypotension","II","II","UNREL","N"
-"003-191","Hypokalemia","II","II","UNREL","N"
-"003-192","Hyponatremia","II","II","UNREL","N"
-"003-198","Hyponatremia","II","II","UNREL","N"
-"003-201","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-202","Blood stream infection","II","NA","UNREL","N"
-"003-204","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-208","Acute renal failure","II","NA","UNREL","N"
-"003-210","Wound bleed","II","NA","UNREL","N"
-"003-213","Hypocalcemia","III","III","UNREL","N"
-"003-214","Hypocalcemia","III","III","UNREL","N"
-"003-217","Hypomagnesemia","I","I","UNREL","N"
-"003-218","Nose bleed","II","II","UNREL","N"
-"003-221","Nose bleed","II","II","UNREL","N"
-"003-222","UTI","II","NA","UNREL","N"
-"003-223","Hypocalcemia","III","III","UNREL","N"
-"003-228","Hyponatremia","II","II","UNREL","N"
-"003-229","Hypomagnesemia","II","II","UNREL","N"
-"003-230","Hypokalemia","II","II","UNREL","N"
-"003-233","Hypokalemia","II","II","UNREL","N"
-"003-237","Hypokalemia","II","II","UNREL","N"
-"003-238","UTI","II","NA","UNREL","N"
-"003-246","Hypokalemia","II","II","UNREL","N"
-"003-248","Hematuria","II","II","UNREL","N"
-"003-250","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-252","Hypocalcemia","II","II","UNREL","N"
-"003-253","Skin allergy","II","NA","POSREL","N"
-"003-256","Hypokalemia","II","II","UNREL","N"
-"003-257","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-259","Constipation","II","II","UNREL","N"
-"003-262","Hypocalcemia","II","II","UNREL","N"
-"003-263","Aspiration pneumonia","II","NA","UNREL","N"
-"003-264","Hyponatremia","II","II","UNREL","N"
-"003-268","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-269","Hypocalcemia","II","II","UNREL","N"
-"003-270","Hypocalcemia","III","III","UNREL","N"
-"003-271","Hypokalemia","II","II","UNREL","N"
-"003-011","UTI","II","NA","UNREL","N"
-"003-018","arthralgia","II","II","UNREL","Y"
-"003-021","UTI","II","NA","UNREL","N"
-"003-026","Anemia","III","III","UNREL","Y"
-"003-032","Deep vein thrombosis","III","NA","POSREL","N"
-"003-037","Bruising","I","I","UNREL","Y"
-"003-040","UTI","II","NA","UNREL","N"
-"003-043","Otitis","II","NA","UNREL","Y"
-"003-050","Tracheal hemorrhage","III","III","UNREL","N"
-"003-057","Pressure ulcer","II","NA","UNREL","N"
-"003-061","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-062","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-063","Aspiration pneumonia","II","NA","UNREL","N"
-"003-068","arthralgia","II","II","UNREL","Y"
-"003-077","Phlebitis","I","I","UNREL","N"
-"003-082","Hyponatremia","II","II","UNREL","N"
-"003-090","Tracheal stenosis","III","III","UNREL","N"
-"003-097","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-112","Conjunctivitis","II","II","UNREL","Y"
-"003-115","Skin allergy","II","NA","REL","N"
-"003-128","Upper respiratory infection","II","II","UNREL","N"
-"003-153","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-154","Blood stream infection","II","NA","UNREL","N"
-"003-157","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-164","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-168","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-169","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-171","Recurrent tetanus","III","III","UNREL","N"
-"003-174","Gastritis","II","II","UNREL","N"
-"003-176","Constipation","II","II","UNREL","N"
-"003-177","Hypocalcemia","III","III","UNREL","N"
-"003-178","Wound bleed","II","II","UNREL","N"
-"003-180","Nose bleed","II","II","UNREL","N"
-"003-186","Hypokalemia","II","II","UNREL","N"
-"003-191","Hypomagnesemia","I","I","UNREL","N"
-"003-192","Hypocalcemia","III","III","UNREL","N"
-"003-198","Hypokalemia","II","II","UNREL","N"
-"003-202","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-204","Acute renal failure","II","NA","UNREL","N"
-"003-217","Hyponatremia","II","II","UNREL","N"
-"003-221","Hypocalcemia","III","III","UNREL","N"
-"003-223","Hypokalemia","II","II","UNREL","N"
-"003-227","UTI","II","NA","UNREL","N"
-"003-228","Upper respiratory infection","II","II","UNREL","N"
-"003-229","Gastritis","II","II","UNREL","N"
-"003-230","Hyponatremia","II","II","UNREL","N"
-"003-232","Hypocalcemia","II","II","UNREL","N"
-"003-233","Upper respiratory infection","II","II","UNREL","N"
-"003-237","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-238","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-244","Hypokalemia","II","II","UNREL","N"
-"003-246","Hyponatremia","I","I","UNREL","N"
-"003-248","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-249","Hypokalemia","II","II","UNREL","N"
-"003-250","UTI","II","NA","UNREL","N"
-"003-252","Constipation","II","II","UNREL","N"
-"003-253","Blood stream infection","II","NA","UNREL","N"
-"003-256","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-257","Hypokalemia","II","II","UNREL","N"
-"003-259","Hypocalcemia","III","III","UNREL","N"
-"003-262","Hypokalemia","II","II","UNREL","N"
-"003-266","Gastrointestinal disorder","I","I","UNREL","Y"
-"003-268","Skin allergy","II","NA","POSREL","N"
-"003-269","Blood stream infection","II","NA","UNREL","N"
-"003-270","UTI","II","NA","UNREL","N"
-"003-272","Hypocalcemia","III","III","UNREL","N"
-"003-001","Urinary retention","II","II","POSREL","Y"
-"003-009","UTI","II","NA","UNREL","N"
-"003-010","Phlebitis","I","I","UNREL","N"
-"003-021","Hematuria","II","II","UNREL","N"
-"003-024","Constipation","II","II","UNREL","N"
-"003-026","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-027","Chronic venous insufficiency","II","NA","UNREL","Y"
-"003-032","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-037","Hyponatremia","III","III","UNREL","Y"
-"003-038","Aspiration pneumonia","II","NA","UNREL","N"
-"003-043","UTI","II","NA","UNREL","N"
-"003-050","Anemia","II","II","UNREL","Y"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-063","Anemia","III","III","UNREL","Y"
-"003-082","Hypokalemia","II","II","UNREL","N"
-"003-097","UTI","II","NA","UNREL","N"
-"003-153","UTI","II","NA","UNREL","N"
-"003-154","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-164","Pneumothorax","II","II","UNREL","N"
-"003-177","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-180","Tracheal hemorrhage","II","II","UNREL","N"
-"003-182","Wound infection","II","NA","UNREL","N"
-"003-191","Tracheal hemorrhage","II","II","UNREL","N"
-"003-192","Tracheal hemorrhage","II","II","UNREL","N"
-"003-198","Hypocalcemia","III","III","UNREL","N"
-"003-202","Tracheal hemorrhage","I","I","UNREL","N"
-"003-204","Pressure ulcer","II","NA","UNREL","N"
-"003-208","Hypokalemia","II","II","UNREL","Y"
-"003-210","Hyponatremia","II","II","UNREL","N"
-"003-218","Hyperpyrexia","NA","NA","UNREL","N"
-"003-221","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-227","Hypocalcemia","II","II","UNREL","N"
-"003-228","Constipation","II","II","UNREL","N"
-"003-230","Hypocalcemia","II","II","UNREL","N"
-"003-232","Hyponatremia","I","I","UNREL","N"
-"003-237","Aspiration pneumonia","II","NA","UNREL","N"
-"003-238","Hypocalcemia","II","II","UNREL","N"
-"003-244","Hyponatremia","I","I","UNREL","N"
-"003-246","Hypomagnesemia","I","I","UNREL","N"
-"003-248","UTI","II","NA","UNREL","N"
-"003-249","Hypocalcemia","III","III","UNREL","N"
-"003-252","Skin allergy","I","NA","POSREL","N"
-"003-253","Constipation","II","II","UNREL","N"
-"003-256","Constipation","II","II","UNREL","N"
-"003-257","Hyponatremia","I","I","UNREL","N"
-"003-259","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-262","Blood stream infection","II","NA","UNREL","N"
-"003-263","Hyponatremia","II","II","UNREL","N"
-"003-264","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-266","Constipation","II","II","UNREL","N"
-"003-268","Hyponatremia","II","II","UNREL","N"
-"003-269","Hypokalemia","II","II","UNREL","N"
-"003-270","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-272","Hyponatremia","I","I","UNREL","N"
-"003-009","UTI","II","NA","UNREL","N"
-"003-010","UTI","II","NA","UNREL","N"
-"003-021","Tracheal hemorrhage","II","II","UNREL","N"
-"003-024","arthralgia","II","II","UNREL","Y"
-"003-025","Anemia","III","III","UNREL","N"
-"003-037","Tracheal hemorrhage","II","II","UNREL","N"
-"003-038","UTI","II","NA","UNREL","N"
-"003-043","Blood stream infection","II","NA","UNREL","Y"
-"003-050","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-057","UTI","II","NA","UNREL","N"
-"003-153","Blood stream infection","II","NA","UNREL","N"
-"003-154","Acute renal failure","III","NA","UNREL","N"
-"003-164","Tracheal hemorrhage","I","I","UNREL","N"
-"003-177","Acute renal failure","II","NA","UNREL","Y"
-"003-178","Hypocalcemia","III","III","UNREL","N"
-"003-180","Arterial thromboembolism","IV","IV","REL","N"
-"003-182","Hypocalcemia","III","III","UNREL","N"
-"003-198","Anemia","III","III","UNREL","Y"
-"003-202","Hypokalemia","II","II","UNREL","N"
-"003-208","Hypernatremia","I","I","UNREL","Y"
-"003-210","Hypocalcemia","III","III","UNREL","N"
-"003-218","Creatinine increase","III","III","UNREL","Y"
-"003-221","UTI","II","NA","UNREL","N"
-"003-227","Hyponatremia","I","I","UNREL","N"
-"003-229","Constipation","II","II","UNREL","N"
-"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-232","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-237","Hypocalcemia","II","II","UNREL","N"
-"003-244","Dizziness","II","II","UNREL","N"
-"003-246","Hypocalcemia","III","III","UNREL","N"
-"003-248","Hypertension","II","II","UNREL","N"
-"003-249","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-250","Hypokalemia","II","II","UNREL","N"
-"003-256","Conjunctivitis","II","II","UNREL","N"
-"003-257","Constipation","II","II","UNREL","N"
-"003-262","Nose bleed","I","I","UNREL","N"
-"003-263","Hypocalcemia","III","III","UNREL","N"
-"003-264","Back pain","II","II","UNREL","Y"
-"003-266","Hypokalemia","II","II","UNREL","N"
-"003-269","Skin allergy","II","NA","UNREL","N"
-"003-270","Hyponatremia","II","II","UNREL","N"
-"003-272","Constipation","II","II","UNREL","N"
-"003-009","Dysphagia","IV","IV","UNREL","Y"
-"003-010","UTI","II","NA","UNREL","N"
-"003-024","Cerebral hemorrhage","II","NA","UNREL","Y"
-"003-026","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-038","Cholangitis","NA","NA","UNREL","Y"
-"003-043","Anemia","III","III","UNREL","N"
-"003-057","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-153","Anemia","III","III","UNREL","Y"
-"003-154","Ventilator associated pneumonia","III","NA","UNREL","Y"
-"003-177","Ventilator associated pneumonia","IV","IV","UNREL","Y"
-"003-178","Deep vein thrombosis","III","III","POSREL","N"
-"003-198","Hypomagnesemia","I","I","UNREL","N"
-"003-204","Hypernatremia","I","I","UNREL","N"
-"003-208","Blood stream infection","II","NA","UNREL","N"
-"003-210","Oral infection","II","II","UNREL","N"
-"003-218","Arterial thromboembolism","IV","IV","POSREL","N"
-"003-221","Blood stream infection","II","NA","UNREL","N"
-"003-227","Constipation","II","II","UNREL","N"
-"003-230","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-232","Pleural abscess","NA","NA","UNREL","Y"
-"003-237","Hypomagnesemia","I","I","UNREL","N"
-"003-246","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-248","Hypokalemia","II","II","UNREL","N"
-"003-249","UTI","II","NA","UNREL","N"
-"003-250","Constipation","II","II","UNREL","N"
-"003-257","Dizziness","II","II","UNREL","N"
-"003-262","Oral infection","II","II","UNREL","Y"
-"003-263","Hypokalemia","III","III","UNREL","N"
-"003-266","Hyponatremia","II","II","UNREL","N"
-"003-269","Hyponatremia","I","I","UNREL","N"
-"003-010","Pyloric stenosis","III","III","UNREL","Y"
-"003-025","Anemia","III","III","UNREL","N"
-"003-026","UTI","II","NA","UNREL","N"
-"003-043","UTI","II","NA","UNREL","N"
-"003-107","Cardiac arrest","IV","IV","UNREL","N"
-"003-153","Hyponatremia","III","III","UNREL","N"
-"003-178","Wound infection","II","NA","UNREL","N"
-"003-204","Hypokalemia","II","II","UNREL","N"
-"003-208","Anemia","III","III","UNREL","Y"
-"003-221","Upper respiratory infection","II","II","UNREL","N"
-"003-230","Sinus bradycardia","I","I","UNREL","Y"
-"003-237","Hyponatremia","III","III","UNREL","N"
-"003-246","Pruritus","II","II","POSREL","N"
-"003-248","Skin allergy","II","NA","POSREL","N"
-"003-249","Urinary retention","II","II","UNREL","Y"
-"003-262","Hyponatremia","II","II","UNREL","N"
-"003-263","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-269","Constipation","II","II","UNREL","N"
-"003-271","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Anemia","III","III","UNREL","N"
-"003-037","Aspiration pneumonia","II","NA","UNREL","N"
-"003-043","Pressure ulcer","III","NA","UNREL","N"
-"003-153","Hypokalemia","II","II","UNREL","N"
-"003-164","Conjunctivitis","II","II","UNREL","Y"
-"003-178","Blood stream infection","II","NA","UNREL","N"
-"003-204","Hypocalcemia","III","III","UNREL","N"
-"003-208","Hypotension","III","III","UNREL","N"
-"003-230","Dizziness","II","II","UNREL","Y"
-"003-246","Myalgia","II","II","UNREL","N"
-"003-248","Constipation","II","II","UNREL","N"
-"003-262","Constipation","II","II","UNREL","N"
-"003-263","Deep vein thrombosis","III","NA","POSREL","N"
-"003-025","UTI","II","NA","UNREL","N"
-"003-037","Adrenal insufficiency","II","II","UNREL","Y"
-"003-153","Upper gastrointestinal hemorrhage","II","II","UNREL","N"
-"003-178","Tracheal hemorrhage","II","II","UNREL","N"
-"003-204","Rhabdomyolysis","II","II","UNREL","N"
-"003-208","Platelet count decreased","III","III","UNREL","N"
-"003-230","Constipation","II","II","UNREL","N"
-"003-262","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-263","Low weight, muscle wasting","II","NA","UNREL","Y"
-"003-269","UTI","II","NA","UNREL","N"
-"003-025","Platelet count decreased","III","III","UNREL","N"
-"003-153","Pressure ulcer","II","II","UNREL","N"
-"003-204","Anemia","III","III","UNREL","Y"
-"003-208","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-262","Low weight, muscle wasting","II","NA","UNREL","Y"
-"003-269","Low weight, muscle wasting","II","NA","UNREL","N"
-"003-271","Postoperative hemorrage","II","II","UNREL","N"
-"003-025","Hypokalemia","II","II","UNREL","N"
-"003-204","UTI","II","NA","UNREL","N"
-"003-208","Sinus bradycardia","II","II","UNREL","N"
-"003-262","Failed extubation","III","III","UNREL","N"
-"003-271","Constipation","II","II","UNREL","N"
-"003-025","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-208","Adrenal insufficiency","II","II","UNREL","Y"
-"003-271","Hypotension","IV","IV","UNREL","N"
-"003-025","Hypotension","III","III","UNREL","N"
-"003-208","Pressure ulcer","II","NA","UNREL","N"
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Hypotension","III","III","UNREL","N"
-"003-208","Hypoalbuminemia","III","III","UNREL",NA
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","UTI","II","NA","UNREL","N"
-"003-208","Constipation","II","II","UNREL","N"
-"003-269","Ventilator associated pneumonia","II","NA","UNREL","N"
-"003-025","Adrenal insufficiency","II","II","UNREL","N"
-"003-208","Cerbral infarction","IV","IV","POSREL","Y"
-"003-269","Hypotension","IV","IV","POSREL","N"
+usubjid,ctcaename,ctcaegrade,original_ctcaegrade,posrelunrel,unexp
+003-001,Nausea,I,I,POSREL,N
+003-003,Back pain,I,I,POSREL,N
+003-004,Viral infection,I,NA,UNREL,Y
+003-006,Headache,I,I,POSREL,N
+003-007,Phlebitis,I,I,UNREL,N
+003-029,Gastritis,II,II,UNREL,Y
+003-034,Constipation,II,II,UNREL,N
+003-035,Constipation,II,II,UNREL,N
+003-044,Gastritis,II,NA,UNREL,Y
+003-073,Hemorrhoids,I,I,UNREL,N
+003-087,Skin allergy,II,NA,REL,N
+003-095,Phlebitis,I,I,UNREL,N
+003-105,pharyngitis,II,II,UNREL,Y
+003-109,Hospital acquired pneumonia,II,NA,UNREL,N
+003-122,Headache,I,I,POSREL,N
+003-135,Phlebitis,I,I,UNREL,N
+003-141,Headache,I,I,POSREL,N
+003-144,UTI,II,NA,UNREL,N
+003-150,Headache,I,I,POSREL,N
+003-167,Headache,I,I,POSREL,N
+003-184,Hemorrhoids,I,I,UNREL,N
+003-242,Fever,I,I,POSREL,N
+003-244,Fever,I,I,POSREL,N
+003-261,Skin allergy,II,NA,POSREL,N
+003-265,Constipation,II,II,UNREL,N
+003-004,Neuralgia,II,II,UNREL,Y
+003-006,Hiccup,II,II,UNREL,Y
+003-007,Constipation,II,II,UNREL,N
+003-014,Skin allergy,II,NA,POSREL,N
+003-015,Constipation,II,II,UNREL,N
+003-023,Constipation,II,II,UNREL,N
+003-027,Myocardial ischaemia,II,NA,UNREL,Y
+003-036,UTI,II,NA,UNREL,N
+003-037,Oral infection,II,NA,UNREL,Y
+003-072,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-074,Skin allergy,II,NA,POSREL,N
+003-076,Hospital acquired pneumonia,II,NA,UNREL,N
+003-081,Otitis,II,NA,UNREL,Y
+003-084,UTI,II,NA,UNREL,N
+003-094,Headache,I,I,REL,N
+003-101,UTI,II,NA,UNREL,N
+003-103,UTI,II,NA,UNREL,N
+003-111,UTI,II,NA,UNREL,N
+003-118,Atrial thrombosis,II,NA,POSREL,N
+003-136,Spinal disc herniation,NA,NA,UNREL,Y
+003-141,Fever,I,I,POSREL,N
+003-159,Phlebitis,I,I,UNREL,N
+003-212,Fever,I,I,POSREL,N
+003-242,Headache,I,I,POSREL,N
+003-255,Sinusitis,II,II,UNREL,Y
+003-258,Oral infection,II,NA,UNREL,Y
+003-261,Facial nerve disorder,II,II,UNREL,N
+003-007,Constipation,II,II,UNREL,N
+003-009,Urinary retention,II,II,UNREL,N
+003-027,UTI,II,NA,UNREL,N
+003-036,Constipation,II,II,UNREL,N
+003-038,Upper gastrointestinal hemorrhage,II,II,UNREL,Y
+003-046,Phlebitis,I,I,UNREL,N
+003-074,Hyperglycaemia,II,II,UNREL,N
+003-081,Constipation,II,II,UNREL,N
+003-094,Chills,I,I,REL,N
+003-101,Arthritis,II,II,UNREL,Y
+003-104,Skin allergy,II,NA,POSREL,N
+003-127,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-146,Aspiration pneumonia,II,NA,UNREL,N
+003-173,UTI,II,NA,UNREL,N
+003-255,Viral infection,II,NA,UNREL,Y
+003-258,Constipation,II,II,UNREL,N
+003-267,Skin allergy,II,NA,POSREL,N
+003-001,Constipation,II,II,UNREL,N
+003-005,UTI,II,NA,UNREL,N
+003-007,Arthritis,II,II,UNREL,Y
+003-017,Ventilator associated pneumonia,II,NA,UNREL,N
+003-019,Arthralgia,II,II,UNREL,Y
+003-028,Tracheal hemorrhage,II,II,UNREL,N
+003-038,UTI,II,NA,UNREL,N
+003-042,Ventilator associated pneumonia,II,NA,UNREL,N
+003-053,Hypotension,III,III,UNREL,N
+003-065,Nose bleed,II,NA,UNREL,N
+003-067,Hospital acquired pneumonia,II,NA,UNREL,N
+003-090,Wound infection,II,II,UNREL,N
+003-094,Fever,I,I,REL,N
+003-116,UTI,II,NA,UNREL,N
+003-117,Ventilator associated pneumonia,II,NA,UNREL,N
+003-123,Allergy,II,NA,POSREL,N
+003-127,UTI,II,NA,UNREL,N
+003-131,Hyponatremia,II,II,UNREL,N
+003-146,Cellulitis,I,I,UNREL,N
+003-164,Aspiration pneumonia,II,NA,UNREL,N
+003-168,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-172,Hyponatremia,II,II,UNREL,N
+003-173,Blood stream infection,II,NA,UNREL,N
+003-174,Otitis,II,NA,UNREL,Y
+003-176,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-177,Nose bleed,II,NA,UNREL,N
+003-178,Hypokalemia,II,II,UNREL,N
+003-179,Hypocalcemia,III,III,UNREL,N
+003-180,Hypokalemia,II,II,UNREL,N
+003-197,Skin allergy,II,NA,POSREL,N
+003-199,Torticolis,II,NA,UNREL,Y
+003-201,Hypokalemia,III,III,UNREL,N
+003-210,Tracheal hemorrhage,II,II,UNREL,N
+003-223,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-228,Hospital acquired pneumonia,II,NA,UNREL,N
+003-230,Myocarditis,II,NA,UNREL,Y
+003-247,UTI,II,NA,UNREL,N
+003-253,Hypokalemia,II,II,UNREL,N
+003-255,Constipation,II,II,UNREL,N
+003-264,Hypokalemia,II,II,UNREL,N
+003-267,Gastritis,II,NA,UNREL,Y
+003-001,Insomnia,II,II,UNREL,Y
+003-005,Myocardial ischaemia,II,NA,UNREL,Y
+003-010,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-011,Ventilator associated pneumonia,II,NA,UNREL,N
+003-024,Arthritis,II,II,UNREL,Y
+003-028,Constipation,II,II,UNREL,N
+003-031,Ventilator associated pneumonia,II,NA,UNREL,N
+003-032,Constipation,II,II,UNREL,N
+003-037,UTI,II,NA,UNREL,N
+003-040,Conjunctivitis,II,II,UNREL,N
+003-042,Tracheal hemorrhage,II,II,UNREL,N
+003-043,Ventilator associated pneumonia,II,NA,UNREL,N
+003-047,UTI,II,NA,UNREL,N
+003-048,Ventilator associated pneumonia,II,NA,UNREL,N
+003-053,Aspiration pneumonia,II,NA,UNREL,N
+003-056,Cardiac arrest,IV,IV,UNREL,N
+003-057,Ventilator associated pneumonia,II,NA,UNREL,N
+003-082,UTI,II,NA,UNREL,N
+003-083,Ventilator associated pneumonia,II,NA,UNREL,N
+003-090,Phlebitis,I,I,UNREL,N
+003-091,Ventilator associated pneumonia,II,NA,UNREL,N
+003-092,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-096,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-098,Tracheal hemorrhage,I,I,UNREL,Y
+003-099,UTI,II,NA,UNREL,N
+003-112,Ventilator associated pneumonia,II,NA,UNREL,N
+003-115,UTI,II,NA,UNREL,N
+003-116,Skin allergy,II,NA,POSREL,N
+003-119,Voice alteration,I,I,UNREL,N
+003-131,Hypokalemia,II,II,UNREL,N
+003-133,UTI,II,NA,UNREL,N
+003-137,UTI,II,NA,UNREL,N
+003-139,Blood stream infection,II,NA,UNREL,N
+003-146,Arthritis,II,II,UNREL,Y
+003-152,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-153,Cardiac arrest,IV,IV,UNREL,N
+003-154,UTI,II,NA,UNREL,N
+003-161,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-163,Constipation,II,II,UNREL,N
+003-171,Hypokalemia,II,II,UNREL,N
+003-172,Hypokalemia,II,II,UNREL,N
+003-173,Hypokalemia,II,II,UNREL,N
+003-174,Hyponatremia,II,II,UNREL,N
+003-176,Ventilator associated pneumonia,II,NA,UNREL,N
+003-178,Necrotic wound,II,NA,UNREL,N
+003-180,Hypomagnesemia,I,I,UNREL,N
+003-186,Ventilator associated pneumonia,II,NA,UNREL,N
+003-187,Hypokalemia,II,II,UNREL,N
+003-191,Ventilator associated pneumonia,II,NA,UNREL,N
+003-192,Ventilator associated pneumonia,II,NA,UNREL,N
+003-201,Hypocalcemia,III,III,UNREL,N
+003-202,UTI,II,NA,UNREL,N
+003-203,Headache,I,I,POSREL,N
+003-210,Hypokalemia,II,II,UNREL,N
+003-213,Hypokalemia,II,II,UNREL,N
+003-214,Hypokalemia,II,II,UNREL,N
+003-217,Hypokalemia,II,II,UNREL,N
+003-218,Tracheal hemorrhage,I,I,UNREL,N
+003-221,Hypokalemia,II,II,UNREL,N
+003-222,Hypokalemia,II,II,UNREL,N
+003-227,Hypokalemia,II,II,UNREL,N
+003-228,Hypokalemia,II,II,UNREL,N
+003-229,Hypocalcemia,III,III,UNREL,N
+003-232,Hypokalemia,III,III,UNREL,N
+003-233,Hypocalcemia,II,II,UNREL,N
+003-238,Hypokalemia,II,II,UNREL,N
+003-247,Constipation,II,II,UNREL,N
+003-249,Hematuria,II,II,UNREL,Y
+003-250,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-252,Hypokalemia,II,II,UNREL,N
+003-259,Subcutaneous emphysema,I,I,UNREL,N
+003-263,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-264,Hypocalcemia,III,III,UNREL,N
+003-268,Hypokalemia,II,II,UNREL,N
+003-269,Heat stroke,NA,NA,UNREL,N
+003-270,Hypokalemia,II,II,UNREL,N
+003-272,Hypomagnesemia,I,I,UNREL,N
+003-001,UTI,II,NA,UNREL,N
+003-010,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-011,Ventilator associated pneumonia,II,NA,UNREL,N
+003-013,Skin allergy,I,NA,POSREL,N
+003-018,UTI,II,NA,UNREL,N
+003-021,Constipation,II,II,UNREL,N
+003-024,Ventilator associated pneumonia,II,NA,UNREL,N
+003-025,Myocardial ischaemia,IV,NA,UNREL,N
+003-026,Atrial fibrillation,II,II,UNREL,Y
+003-027,Constipation,II,II,UNREL,N
+003-028,Dizziness,II,II,UNREL,Y
+003-032,Tracheal hemorrhage,II,II,UNREL,N
+003-040,Ventilator associated pneumonia,II,NA,UNREL,N
+003-042,Ventilator associated pneumonia,II,NA,UNREL,N
+003-050,Failed extubation,NA,NA,UNREL,Y
+003-061,Ventilator associated pneumonia,II,NA,UNREL,N
+003-062,Blood stream infection,II,NA,UNREL,N
+003-063,Ventilator associated pneumonia,II,NA,UNREL,N
+003-068,Blood stream infection,II,NA,UNREL,N
+003-072,Appendicitis,III,III,UNREL,N
+003-077,UTI,II,NA,UNREL,N
+003-079,UTI,II,NA,UNREL,Y
+003-082,Constipation,II,II,UNREL,N
+003-083,UTI,II,NA,UNREL,N
+003-090,Conjunctivitis,II,II,UNREL,N
+003-091,Tracheal hemorrhage,II,II,UNREL,N
+003-092,Deep vein thrombosis,II,NA,POSREL,N
+003-098,Nose bleed,II,II,UNREL,Y
+003-107,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-112,Ventilator associated pneumonia,II,NA,UNREL,N
+003-115,Voice alteration,I,I,UNREL,N
+003-116,Voice alteration,I,I,UNREL,N
+003-128,Hemorrhoids,II,II,UNREL,N
+003-146,Arthritis,II,II,UNREL,N
+003-148,Blood stream infection,II,NA,UNREL,N
+003-152,Atrial fibrillation,II,II,UNREL,Y
+003-154,Ventilator associated pneumonia,II,NA,UNREL,N
+003-157,Blood stream infection,II,NA,UNREL,N
+003-161,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-164,Hypokalemia,II,II,UNREL,N
+003-168,Blood stream infection,II,NA,UNREL,N
+003-169,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-171,UTI,II,NA,UNREL,N
+003-174,Hypocalcemia,III,III,UNREL,N
+003-176,Hypocalcemia,III,III,UNREL,N
+003-177,Hyponatremia,II,II,UNREL,N
+003-178,Myocarditis,II,NA,UNREL,Y
+003-182,Hypokalemia,II,II,UNREL,N
+003-186,Hypokalemia,II,II,UNREL,N
+003-187,Hypotension,II,II,UNREL,N
+003-191,Hypokalemia,II,II,UNREL,N
+003-192,Hyponatremia,II,II,UNREL,N
+003-198,Hyponatremia,II,II,UNREL,N
+003-201,Ventilator associated pneumonia,II,NA,UNREL,N
+003-202,Blood stream infection,II,NA,UNREL,N
+003-204,Ventilator associated pneumonia,II,NA,UNREL,N
+003-208,Acute renal failure,II,NA,UNREL,N
+003-210,Wound bleed,II,NA,UNREL,N
+003-213,Hypocalcemia,III,III,UNREL,N
+003-214,Hypocalcemia,III,III,UNREL,N
+003-217,Hypomagnesemia,I,I,UNREL,N
+003-218,Nose bleed,II,II,UNREL,N
+003-221,Nose bleed,II,II,UNREL,N
+003-222,UTI,II,NA,UNREL,N
+003-223,Hypocalcemia,III,III,UNREL,N
+003-228,Hyponatremia,II,II,UNREL,N
+003-229,Hypomagnesemia,II,II,UNREL,N
+003-230,Hypokalemia,II,II,UNREL,N
+003-233,Hypokalemia,II,II,UNREL,N
+003-237,Hypokalemia,II,II,UNREL,N
+003-238,UTI,II,NA,UNREL,N
+003-246,Hypokalemia,II,II,UNREL,N
+003-248,Hematuria,II,II,UNREL,N
+003-250,Ventilator associated pneumonia,II,NA,UNREL,N
+003-252,Hypocalcemia,II,II,UNREL,N
+003-253,Skin allergy,II,NA,POSREL,N
+003-256,Hypokalemia,II,II,UNREL,N
+003-257,Ventilator associated pneumonia,II,NA,UNREL,N
+003-259,Constipation,II,II,UNREL,N
+003-262,Hypocalcemia,II,II,UNREL,N
+003-263,Aspiration pneumonia,II,NA,UNREL,N
+003-264,Hyponatremia,II,II,UNREL,N
+003-268,Ventilator associated pneumonia,II,NA,UNREL,N
+003-269,Hypocalcemia,II,II,UNREL,N
+003-270,Hypocalcemia,III,III,UNREL,N
+003-271,Hypokalemia,II,II,UNREL,N
+003-011,UTI,II,NA,UNREL,N
+003-018,arthralgia,II,II,UNREL,Y
+003-021,UTI,II,NA,UNREL,N
+003-026,Anemia,III,III,UNREL,Y
+003-032,Deep vein thrombosis,III,NA,POSREL,N
+003-037,Bruising,I,I,UNREL,Y
+003-040,UTI,II,NA,UNREL,N
+003-043,Otitis,II,NA,UNREL,Y
+003-050,Tracheal hemorrhage,III,III,UNREL,N
+003-057,Pressure ulcer,II,NA,UNREL,N
+003-061,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-062,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-063,Aspiration pneumonia,II,NA,UNREL,N
+003-068,arthralgia,II,II,UNREL,Y
+003-077,Phlebitis,I,I,UNREL,N
+003-082,Hyponatremia,II,II,UNREL,N
+003-090,Tracheal stenosis,III,III,UNREL,N
+003-097,Ventilator associated pneumonia,II,NA,UNREL,N
+003-112,Conjunctivitis,II,II,UNREL,Y
+003-115,Skin allergy,II,NA,REL,N
+003-128,Upper respiratory infection,II,II,UNREL,N
+003-153,Ventilator associated pneumonia,II,NA,UNREL,N
+003-154,Blood stream infection,II,NA,UNREL,N
+003-157,Ventilator associated pneumonia,II,NA,UNREL,N
+003-164,Ventilator associated pneumonia,II,NA,UNREL,N
+003-168,Ventilator associated pneumonia,II,NA,UNREL,N
+003-169,Ventilator associated pneumonia,II,NA,UNREL,N
+003-171,Recurrent tetanus,III,III,UNREL,N
+003-174,Gastritis,II,II,UNREL,N
+003-176,Constipation,II,II,UNREL,N
+003-177,Hypocalcemia,III,III,UNREL,N
+003-178,Wound bleed,II,II,UNREL,N
+003-180,Nose bleed,II,II,UNREL,N
+003-186,Hypokalemia,II,II,UNREL,N
+003-191,Hypomagnesemia,I,I,UNREL,N
+003-192,Hypocalcemia,III,III,UNREL,N
+003-198,Hypokalemia,II,II,UNREL,N
+003-202,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-204,Acute renal failure,II,NA,UNREL,N
+003-217,Hyponatremia,II,II,UNREL,N
+003-221,Hypocalcemia,III,III,UNREL,N
+003-223,Hypokalemia,II,II,UNREL,N
+003-227,UTI,II,NA,UNREL,N
+003-228,Upper respiratory infection,II,II,UNREL,N
+003-229,Gastritis,II,II,UNREL,N
+003-230,Hyponatremia,II,II,UNREL,N
+003-232,Hypocalcemia,II,II,UNREL,N
+003-233,Upper respiratory infection,II,II,UNREL,N
+003-237,Ventilator associated pneumonia,II,NA,UNREL,N
+003-238,Ventilator associated pneumonia,II,NA,UNREL,N
+003-244,Hypokalemia,II,II,UNREL,N
+003-246,Hyponatremia,I,I,UNREL,N
+003-248,Ventilator associated pneumonia,II,NA,UNREL,N
+003-249,Hypokalemia,II,II,UNREL,N
+003-250,UTI,II,NA,UNREL,N
+003-252,Constipation,II,II,UNREL,N
+003-253,Blood stream infection,II,NA,UNREL,N
+003-256,Ventilator associated pneumonia,II,NA,UNREL,N
+003-257,Hypokalemia,II,II,UNREL,N
+003-259,Hypocalcemia,III,III,UNREL,N
+003-262,Hypokalemia,II,II,UNREL,N
+003-266,Gastrointestinal disorder,I,I,UNREL,Y
+003-268,Skin allergy,II,NA,POSREL,N
+003-269,Blood stream infection,II,NA,UNREL,N
+003-270,UTI,II,NA,UNREL,N
+003-272,Hypocalcemia,III,III,UNREL,N
+003-001,Urinary retention,II,II,POSREL,Y
+003-009,UTI,II,NA,UNREL,N
+003-010,Phlebitis,I,I,UNREL,N
+003-021,Hematuria,II,II,UNREL,N
+003-024,Constipation,II,II,UNREL,N
+003-026,Ventilator associated pneumonia,II,NA,UNREL,N
+003-027,Chronic venous insufficiency,II,NA,UNREL,Y
+003-032,Ventilator associated pneumonia,II,NA,UNREL,N
+003-037,Hyponatremia,III,III,UNREL,Y
+003-038,Aspiration pneumonia,II,NA,UNREL,N
+003-043,UTI,II,NA,UNREL,N
+003-050,Anemia,II,II,UNREL,Y
+003-057,Ventilator associated pneumonia,II,NA,UNREL,N
+003-063,Anemia,III,III,UNREL,Y
+003-082,Hypokalemia,II,II,UNREL,N
+003-097,UTI,II,NA,UNREL,N
+003-153,UTI,II,NA,UNREL,N
+003-154,Ventilator associated pneumonia,II,NA,UNREL,N
+003-164,Pneumothorax,II,II,UNREL,N
+003-177,Ventilator associated pneumonia,II,NA,UNREL,N
+003-180,Tracheal hemorrhage,II,II,UNREL,N
+003-182,Wound infection,II,NA,UNREL,N
+003-191,Tracheal hemorrhage,II,II,UNREL,N
+003-192,Tracheal hemorrhage,II,II,UNREL,N
+003-198,Hypocalcemia,III,III,UNREL,N
+003-202,Tracheal hemorrhage,I,I,UNREL,N
+003-204,Pressure ulcer,II,NA,UNREL,N
+003-208,Hypokalemia,II,II,UNREL,Y
+003-210,Hyponatremia,II,II,UNREL,N
+003-218,Hyperpyrexia,NA,NA,UNREL,N
+003-221,Ventilator associated pneumonia,II,NA,UNREL,N
+003-227,Hypocalcemia,II,II,UNREL,N
+003-228,Constipation,II,II,UNREL,N
+003-230,Hypocalcemia,II,II,UNREL,N
+003-232,Hyponatremia,I,I,UNREL,N
+003-237,Aspiration pneumonia,II,NA,UNREL,N
+003-238,Hypocalcemia,II,II,UNREL,N
+003-244,Hyponatremia,I,I,UNREL,N
+003-246,Hypomagnesemia,I,I,UNREL,N
+003-248,UTI,II,NA,UNREL,N
+003-249,Hypocalcemia,III,III,UNREL,N
+003-252,Skin allergy,I,NA,POSREL,N
+003-253,Constipation,II,II,UNREL,N
+003-256,Constipation,II,II,UNREL,N
+003-257,Hyponatremia,I,I,UNREL,N
+003-259,Ventilator associated pneumonia,II,NA,UNREL,N
+003-262,Blood stream infection,II,NA,UNREL,N
+003-263,Hyponatremia,II,II,UNREL,N
+003-264,Ventilator associated pneumonia,II,NA,UNREL,N
+003-266,Constipation,II,II,UNREL,N
+003-268,Hyponatremia,II,II,UNREL,N
+003-269,Hypokalemia,II,II,UNREL,N
+003-270,Ventilator associated pneumonia,II,NA,UNREL,N
+003-272,Hyponatremia,I,I,UNREL,N
+003-009,UTI,II,NA,UNREL,N
+003-010,UTI,II,NA,UNREL,N
+003-021,Tracheal hemorrhage,II,II,UNREL,N
+003-024,arthralgia,II,II,UNREL,Y
+003-025,Anemia,III,III,UNREL,N
+003-037,Tracheal hemorrhage,II,II,UNREL,N
+003-038,UTI,II,NA,UNREL,N
+003-043,Blood stream infection,II,NA,UNREL,Y
+003-050,Ventilator associated pneumonia,II,NA,UNREL,N
+003-057,UTI,II,NA,UNREL,N
+003-153,Blood stream infection,II,NA,UNREL,N
+003-154,Acute renal failure,III,NA,UNREL,N
+003-164,Tracheal hemorrhage,I,I,UNREL,N
+003-177,Acute renal failure,II,NA,UNREL,Y
+003-178,Hypocalcemia,III,III,UNREL,N
+003-180,Arterial thromboembolism,IV,IV,REL,N
+003-182,Hypocalcemia,III,III,UNREL,N
+003-198,Anemia,III,III,UNREL,Y
+003-202,Hypokalemia,II,II,UNREL,N
+003-208,Hypernatremia,I,I,UNREL,Y
+003-210,Hypocalcemia,III,III,UNREL,N
+003-218,Creatinine increase,III,III,UNREL,Y
+003-221,UTI,II,NA,UNREL,N
+003-227,Hyponatremia,I,I,UNREL,N
+003-229,Constipation,II,II,UNREL,N
+003-230,Ventilator associated pneumonia,II,NA,UNREL,N
+003-232,Ventilator associated pneumonia,II,NA,UNREL,N
+003-237,Hypocalcemia,II,II,UNREL,N
+003-244,Dizziness,II,II,UNREL,N
+003-246,Hypocalcemia,III,III,UNREL,N
+003-248,Hypertension,II,II,UNREL,N
+003-249,Ventilator associated pneumonia,II,NA,UNREL,N
+003-250,Hypokalemia,II,II,UNREL,N
+003-256,Conjunctivitis,II,II,UNREL,N
+003-257,Constipation,II,II,UNREL,N
+003-262,Nose bleed,I,I,UNREL,N
+003-263,Hypocalcemia,III,III,UNREL,N
+003-264,Back pain,II,II,UNREL,Y
+003-266,Hypokalemia,II,II,UNREL,N
+003-269,Skin allergy,II,NA,UNREL,N
+003-270,Hyponatremia,II,II,UNREL,N
+003-272,Constipation,II,II,UNREL,N
+003-009,Dysphagia,IV,IV,UNREL,Y
+003-010,UTI,II,NA,UNREL,N
+003-024,Cerebral hemorrhage,II,NA,UNREL,Y
+003-026,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-038,Cholangitis,NA,NA,UNREL,Y
+003-043,Anemia,III,III,UNREL,N
+003-057,Ventilator associated pneumonia,II,NA,UNREL,N
+003-153,Anemia,III,III,UNREL,Y
+003-154,Ventilator associated pneumonia,III,NA,UNREL,Y
+003-177,Ventilator associated pneumonia,IV,IV,UNREL,Y
+003-178,Deep vein thrombosis,III,III,POSREL,N
+003-198,Hypomagnesemia,I,I,UNREL,N
+003-204,Hypernatremia,I,I,UNREL,N
+003-208,Blood stream infection,II,NA,UNREL,N
+003-210,Oral infection,II,II,UNREL,N
+003-218,Arterial thromboembolism,IV,IV,POSREL,N
+003-221,Blood stream infection,II,NA,UNREL,N
+003-227,Constipation,II,II,UNREL,N
+003-230,Ventilator associated pneumonia,II,NA,UNREL,N
+003-232,Pleural abscess,NA,NA,UNREL,Y
+003-237,Hypomagnesemia,I,I,UNREL,N
+003-246,Ventilator associated pneumonia,II,NA,UNREL,N
+003-248,Hypokalemia,II,II,UNREL,N
+003-249,UTI,II,NA,UNREL,N
+003-250,Constipation,II,II,UNREL,N
+003-257,Dizziness,II,II,UNREL,N
+003-262,Oral infection,II,II,UNREL,Y
+003-263,Hypokalemia,III,III,UNREL,N
+003-266,Hyponatremia,II,II,UNREL,N
+003-269,Hyponatremia,I,I,UNREL,N
+003-010,Pyloric stenosis,III,III,UNREL,Y
+003-025,Anemia,III,III,UNREL,N
+003-026,UTI,II,NA,UNREL,N
+003-043,UTI,II,NA,UNREL,N
+003-107,Cardiac arrest,IV,IV,UNREL,N
+003-153,Hyponatremia,III,III,UNREL,N
+003-178,Wound infection,II,NA,UNREL,N
+003-204,Hypokalemia,II,II,UNREL,N
+003-208,Anemia,III,III,UNREL,Y
+003-221,Upper respiratory infection,II,II,UNREL,N
+003-230,Sinus bradycardia,I,I,UNREL,Y
+003-237,Hyponatremia,III,III,UNREL,N
+003-246,Pruritus,II,II,POSREL,N
+003-248,Skin allergy,II,NA,POSREL,N
+003-249,Urinary retention,II,II,UNREL,Y
+003-262,Hyponatremia,II,II,UNREL,N
+003-263,Ventilator associated pneumonia,II,NA,UNREL,N
+003-269,Constipation,II,II,UNREL,N
+003-271,Ventilator associated pneumonia,II,NA,UNREL,N
+003-025,Anemia,III,III,UNREL,N
+003-037,Aspiration pneumonia,II,NA,UNREL,N
+003-043,Pressure ulcer,III,NA,UNREL,N
+003-153,Hypokalemia,II,II,UNREL,N
+003-164,Conjunctivitis,II,II,UNREL,Y
+003-178,Blood stream infection,II,NA,UNREL,N
+003-204,Hypocalcemia,III,III,UNREL,N
+003-208,Hypotension,III,III,UNREL,N
+003-230,Dizziness,II,II,UNREL,Y
+003-246,Myalgia,II,II,UNREL,N
+003-248,Constipation,II,II,UNREL,N
+003-262,Constipation,II,II,UNREL,N
+003-263,Deep vein thrombosis,III,NA,POSREL,N
+003-025,UTI,II,NA,UNREL,N
+003-037,Adrenal insufficiency,II,II,UNREL,Y
+003-153,Upper gastrointestinal hemorrhage,II,II,UNREL,N
+003-178,Tracheal hemorrhage,II,II,UNREL,N
+003-204,Rhabdomyolysis,II,II,UNREL,N
+003-208,Platelet count decreased,III,III,UNREL,N
+003-230,Constipation,II,II,UNREL,N
+003-262,Ventilator associated pneumonia,II,NA,UNREL,N
+003-263,"Low weight, muscle wasting",II,NA,UNREL,Y
+003-269,UTI,II,NA,UNREL,N
+003-025,Platelet count decreased,III,III,UNREL,N
+003-153,Pressure ulcer,II,II,UNREL,N
+003-204,Anemia,III,III,UNREL,Y
+003-208,Ventilator associated pneumonia,II,NA,UNREL,N
+003-262,"Low weight, muscle wasting",II,NA,UNREL,Y
+003-269,"Low weight, muscle wasting",II,NA,UNREL,N
+003-271,Postoperative hemorrhage,II,II,UNREL,N
+003-025,Hypokalemia,II,II,UNREL,N
+003-204,UTI,II,NA,UNREL,N
+003-208,Sinus bradycardia,II,II,UNREL,N
+003-262,Failed extubation,III,III,UNREL,N
+003-271,Constipation,II,II,UNREL,N
+003-025,Ventilator associated pneumonia,II,NA,UNREL,N
+003-208,Adrenal insufficiency,II,II,UNREL,Y
+003-271,Hypotension,IV,IV,UNREL,N
+003-025,Hypotension,III,III,UNREL,N
+003-208,Pressure ulcer,II,NA,UNREL,N
+003-269,Ventilator associated pneumonia,II,NA,UNREL,N
+003-025,Hypotension,III,III,UNREL,N
+003-208,Hypoalbuminemia,III,III,UNREL,NA
+003-269,Ventilator associated pneumonia,II,NA,UNREL,N
+003-025,UTI,II,NA,UNREL,N
+003-208,Constipation,II,II,UNREL,N
+003-269,Ventilator associated pneumonia,II,NA,UNREL,N
+003-025,Adrenal insufficiency,II,II,UNREL,N
+003-208,Cerebral infarction,IV,IV,POSREL,Y
+003-269,Hypotension,IV,IV,POSREL,N

From 6b7a2babe2684d3d38c72dba7d0779b4fae26313 Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Sun, 7 Jul 2024 17:09:59 +0700
Subject: [PATCH 126/193] updated data for vignette, and updated code for bold
 the group row

---
 R/sstable.R              | 5 ++++-
 inst/extdata/ae_data.csv | 2 +-
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 5f6520d..4f0722b 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -991,7 +991,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
     ### group-name rows-trinhdhk
-    if (is.grouped) tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
+    if (is.grouped) {
+      tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
+      tab <- flextable::bold(tab, i = grouptitle_index, part = "body") # Bold the group.var rows
+    }
 
   } else {
     tab <- list(table = rbind(header1, header2, ae_value),
diff --git a/inst/extdata/ae_data.csv b/inst/extdata/ae_data.csv
index 1adab0e..b25e272 100644
--- a/inst/extdata/ae_data.csv
+++ b/inst/extdata/ae_data.csv
@@ -11,7 +11,7 @@ usubjid,ctcaename,ctcaegrade,original_ctcaegrade,posrelunrel,unexp
 003-073,Hemorrhoids,I,I,UNREL,N
 003-087,Skin allergy,II,NA,REL,N
 003-095,Phlebitis,I,I,UNREL,N
-003-105,pharyngitis,II,II,UNREL,Y
+003-105,Pharyngitis,II,II,UNREL,Y
 003-109,Hospital acquired pneumonia,II,NA,UNREL,N
 003-122,Headache,I,I,POSREL,N
 003-135,Phlebitis,I,I,UNREL,N

From 6f66d347d675bf76b7b3abf7f4eebb080330333f Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Mon, 8 Jul 2024 10:28:31 +0700
Subject: [PATCH 127/193] fix na.rm in sstable.survcomp dropping labels

---
 R/sstable.R | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index a81dce4..18a9159 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1053,7 +1053,8 @@ sstable.survcomp <- function(
   if (length(NAs)){
     warning(sprintf('Missing values on observation(s) %s',
                     paste(NAs,collapse=', ')))
-    data <- data[seq_len(nrow(data))[-NAs],]
+    # data <- data[seq_len(nrow(data))[-NAs],]
+    data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
   }
 
   compare.method <- match.arg(compare.method)
@@ -1391,7 +1392,8 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (length(NAs)){
     warning(sprintf('Missing values on observation(s) %s',
                     paste(NAs,collapse=', ')))
-    data <- data[seq_len(nrow(data))[-NAs],]
+    # data <- data[seq_len(nrow(data))[-NAs],]
+    data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
   }
   compare.method <- match.arg(compare.method)
 

From 58adf607f439730d8284fea75d6c9ca91519f3f9 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Mon, 8 Jul 2024 11:39:02 +0700
Subject: [PATCH 128/193] udpate group.var.priority

an argument allow to make some group in interest to be appear 1st in the table
---
 DESCRIPTION       | 2 +-
 R/sstable.R       | 9 ++++++++-
 man/sstable.ae.Rd | 3 +++
 3 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 848391d..7286272 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -46,7 +46,7 @@ Imports:
     survminer,
     ggsurvfit,
     survival
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Suggests: knitr,
     rmarkdown,
     huxtable
diff --git a/R/sstable.R b/R/sstable.R
index 4f0722b..2b89419 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -583,13 +583,14 @@ sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup =
 #' @param footer a vector of strings to be used as footnote of table.
 #' @param flextable a logical value specifies whether output will be a flextable-type table.
 #' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#' @param group.var.priority a vector that specifies which groups will be appear first in the table.
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @import dplyr
 #' @import tidyr
 #' @export
 sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
-                       group.var = NULL, arm.var, sort.by, digits = 0,
+                       group.var = NULL, group.var.priority = NULL, arm.var, sort.by, digits = 0,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
                        footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
@@ -747,6 +748,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     group_data <- group_data[, c(aetype.var, group.var)]
     group_data[,aetype.var] <- as.character(group_data[,aetype.var])
     names(group_data) <- c(aetype.var, '.tmp.group')
+
+if (!is.null(group.var.priority)) {
+  # Reorder group.var based on group.var.priority
+  group_data <- group_data %>%
+    mutate(.tmp.group = factor(.tmp.group, levels = c(group.var.priority, setdiff(unique(.tmp.group), group.var.priority)), ordered = TRUE))
+}
   # } else {
   #   ## - create a fake grouping
   #   group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 41cbbe6..8f1d905 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -12,6 +12,7 @@ sstable.ae(
   aetype.var,
   grade.var = NULL,
   group.var = NULL,
+  group.var.priority = NULL,
   arm.var,
   sort.by,
   digits = 0,
@@ -44,6 +45,8 @@ sstable.ae(
 
 \item{group.var}{a character specifies group (exists in adverse event data if group_data = NULL or group_data otherwise).}
 
+\item{group.var.priority}{a vector that specifies which groups will be appear first in the table.}
+
 \item{arm.var}{a character specifies name of treatment arm variable (exists in treatment arm data).}
 
 \item{sort.by}{An unquoted formula of sorting options.

From 40aeabd65d1f953a57cee90c9e38300a4b6a307e Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 9 Jul 2024 12:10:59 +0700
Subject: [PATCH 129/193] Adding mstate model to survcomp

The smart behaviour is that finegray is used when compare.method= "cox" and model is of type "mstate". If cox is preferred, use Surv(t,e='ev') instead.
---
 R/sstable.R                      | 132 ++++++++++++++++++++++++-------
 man/sstable.survcomp.Rd          |   8 +-
 man/sstable.survcomp.subgroup.Rd |   8 +-
 3 files changed, 114 insertions(+), 34 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 17ee387..e9e1ac2 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1017,11 +1017,15 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 #' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method [\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time, "none" to not doing comparison
+#' @param compare.method [\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+#' Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
+#' If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.
 #'
 #' @param compare.args: a list of additional args for compare.methods,
 #'
-#'  For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#'  For compare.method = 'cox', it is
+#'  `add.prop.haz.test` [\code{TRUE}]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#'  only when model is a mstate model, `cause`, default to whatever the first cause.
 #'
 #'  For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
 #'  `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
@@ -1058,7 +1062,8 @@ sstable.survcomp <- function(
   # Initialise the table --------------------------
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
-  NAs <- model.frame(update(model, .~1), data=data) |> attr('na.action') |> unname()
+  mf <- model.frame(update(model, .~1), data=data)
+  NAs <- attr(mf, 'na.action') |> unname()
   if (length(NAs)){
     warning(sprintf('Missing values on observation(s) %s',
                     paste(NAs,collapse=', ')))
@@ -1077,6 +1082,27 @@ sstable.survcomp <- function(
   arm.names <- levels(data[, arm.var])
   if (length(arm.names) > 2) stop('At the moment, only two-arm studies are supported. A lot of code has covered more than 2 arms but please think about what should be compared in those cases (chunk test or pairwise test for instance) before implementing / trinhdhk.')
 
+
+  # Prepare survfit
+  time2 <- if (time == Inf) .Machine$integer.max else time
+  fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
+  # [Trinhdhk] Use integer.max instead of Inf b/c summary.survfit does not want Inf anymore. 05/24
+
+  # Check for competing risk aka mstate -trinhdhk
+  ms <- inherits(fit.surv0, 'survfitms')
+  if (ms) {
+    all_causes <- attr(mf[[1]], 'states')
+    if(length(unique(mf[[1]][,2]))<2)
+      stop('You wanted to use a mstate model. But only one event happened.')
+
+    if (is.null(compare.args$cause)) compare.args$cause <- all_causes[[1]]
+    if (!compare.args$cause %in% all_causes)
+      stop('Specified cause is not available in the list of causes.
+If you are running this in survcomp.subgroup, perhaps in one subgroup an event did not happen. I don\'t know how to fix this.')
+    this_cause <- which(all_causes == compare.args$cause)+1
+  }
+
+
   # Table header
   header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
   compare.stat <- switch(compare.method,
@@ -1111,19 +1137,18 @@ sstable.survcomp <- function(
   )
   compare.name <- switch(compare.method,
                          cuminc='Generalized linear models for cumulative incidence',
-                         cox='Cox proportional hazards model',
+                         cox=if (ms) 'Fine-Gray model' else 'Cox proportional hazards model',
                          rmst='Restricted mean survival time model')
   footer <- c(
     paste0(compare.note, "; IQR = interquartile range."),
-    paste(compare.stat, if (p.compare) "and p value", "were based on", compare.name, '.'),
+    paste(compare.stat, if (p.compare) "and p value", "were based on",
+          paste0(compare.name, '.')),
     footer)
 
 
   # Descriptive analysis ---------------------------
   # add number of events and risks
-  time2 <- if (time == Inf) .Machine$integer.max else time
-  fit.surv0 <- survival::survfit(update(model, new = as.formula(paste0(". ~ ", arm.var))), data = data)
-  # [Trinhdhk] Use integer.max instead of Inf b/c summary.survfit does not want Inf anymore. 05/24
+
   fit.surv <- summary(fit.surv0, time = time2, extend = TRUE)
 
   # [Trinhdhk] This is crap as always returns at inf
@@ -1134,8 +1159,14 @@ sstable.survcomp <- function(
   # } else {
   #   tmp <- fit.surv$table
   # }
-  events.n <- paste(fit.surv$n.event, fit.surv$n, sep = "/")
-  if (add.risk) events.n <- paste(events.n, " (", formatC(100*(1 - fit.surv$surv), digits, format = "f"), ")", sep="")
+  # browser()
+  n.event <- if (ms) fit.surv$n.event[,this_cause] else fit.surv$n.event
+  events.n <- paste(n.event, fit.surv$n, sep = "/")
+  if (add.risk) {
+    cumhaz <- if (ms) fit.surv$cumhaz[, this_cause-1] else fit.surv$cumhaz
+    events.n <- paste(events.n,
+                      " (", formatC(100*(cumhaz), digits, format = "f"), ")", sep="")
+  }
   idx <- which(arm.names %in% unique(data[, arm.var]))
   result[3, 1:length(arm.names)] <- rep("-", length(arm.names))
   result[3, idx] <- events.n
@@ -1146,7 +1177,8 @@ sstable.survcomp <- function(
   # Re-base the arm factor
   if (reference.arm == 'B') data[, arm.var] <- ._lv_rev_(data[, arm.var])
   if (compare.method == "cox"){
-    if (!is.null(compare.args$add.prop.haz.test)) add.prop.haz.test <- compare.args$add.prop.haz.test
+    if (!is.null(compare.args$add.prop.haz.test))
+      add.prop.haz.test <- compare.args$add.prop.haz.test
     if (length(events.n) < length(arm.names)) {
     result[3, length(arm.names) + 1] <- "-"
     if (add.prop.haz.test){result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))}
@@ -1154,17 +1186,25 @@ sstable.survcomp <- function(
       compare.args$add.prop.haz.test <- NULL
       compare.args$formula <- model
       compare.args$data <- data
-      # browser()
+
       # add HR, CI, p-value
-      # coxph <- survival::coxph
-      fit.coxph <- do.call(survival::coxph, compare.args) #survival::coxph(model, data)
+      fit.coxph <- if (!ms)
+        do.call(survival::coxph, compare.args) #survival::coxph(model, data)
+      else{
+        compare.args$etype <- compare.args$cause
+        compare.args$cause <- NULL
+        fml <- force(update(model, Surv(fgstart,fgstop,fgstatus)~.))
+        fg <- do.call(survival::finegray, compare.args)
+        eval(substitute(survival::coxph(fml, data = fg,  weights=fgwt), list(fml=fml)))
+      }
       est <- coef(fit.coxph)[1:(length(arm.names)-1)] #trinhdhk: if there were more covariables than just arm, subsetting this to only get the arm
       hr <- formatC(exp(est), digits, format = "f")
 
       result[3, length(arm.names) + 1] <-
         ifelse(is.na(est),"-",
         {
-          se <- sqrt(fit.coxph$var)[[1]] # trinhdhk: if there were more covariables than just arm, $var returns a var-cov mat, this first element is the var of arm (given arm is the first covariable)
+          # browser()
+          se <- sqrt(fit.coxph$var[[1]]) # trinhdhk: if there were more covariables than just arm, $var returns a var-cov mat, this first element is the var of arm (given arm is the first covariable)
           z <- abs(est/se)
           pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
           ci <- sapply(est, \(.est) {
@@ -1185,7 +1225,16 @@ sstable.survcomp <- function(
           result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))
         } else {
           attr(model, ".Environment") <- environment() # needed for cox.zph to work
-          p.prop.haz <- survival::cox.zph(survival::coxph(model, data))$table[1, "p"]
+          p.prop.haz <-
+            if(!ms){
+              cox <- do.call(survival::coxph, compare.args)
+              survival::cox.zph(cox)$table[1, "p"]
+            } else{
+              fml <- force(update(model, Surv(fgstart,fgstop,fgstatus)~.))
+              fg <- do.call(survival::finegray, compare.args)
+              cox <- eval(substitute(survival::coxph(fml, data = fg,  weights=fgwt), list(fml=fml)))
+              survival::cox.zph(cox)$table[1, "p"]
+            }
           if (is.na(p.prop.haz)) {
             p.prop.haz <- "-"
           } else {
@@ -1227,7 +1276,7 @@ sstable.survcomp <- function(
         compare.args$time <- minimax.time
       }
       # If type == lost.ratio then reverse the time
-      # ie. Surv(tau - ev_time, ev) ~ .
+      # i.e. Surv(tau - ev_time, ev) ~ .
       if (type == 'lost.ratio') {
         if (compare.method == 'cuminc') stop('type lost.ratio is meaningless in cuminc comparison.')
         model.lhs <- formula.tools::lhs(model)
@@ -1278,7 +1327,7 @@ sstable.survcomp <- function(
     ifelse(is.null(attr(data[, x], "label")), x, attr(data[, x], "label"))
   })
   # output
-  output <- if (medsum) {
+  output <- if (medsum & !ms) {
     result <- rbind(result, "", "", "", "")
     # add median (IQR) of time-to-event
     qfit <- as.matrix(do.call(cbind, quantile(fit.surv0, probs = c(0.5, 0.25, 0.75))))
@@ -1357,11 +1406,15 @@ sstable.survcomp <- function(
 #' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method [\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time
+#' @param compare.method [\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+#' Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
+#' If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.
 #'
 #' @param compare.args: a list of additional args for compare.methods,
 #'
-#'  For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#'  For compare.method = 'cox', it is
+#'  `add.prop.haz.test` [\code{TRUE}]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+#'  only when model is a mstate model, `cause`, default to whatever the first cause.
 #'
 #'  For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
 #'  `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
@@ -1405,6 +1458,8 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
     data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
   }
   compare.method <- match.arg(compare.method)
+  fit.surv0 <- survfit(update(base.model, .~1), data=data)
+  ms <- inherits(fit.surv0, 'survfitms')
 
   # arm.var <- if (length(base.model[[3]]) > 1) {
   #   deparse(base.model[[3]][[2]])
@@ -1415,15 +1470,16 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
-                           medsum = FALSE, digits = digits,
-                           compare.method = compare.method, compare.args = compare.args,
-                           p.compare = p.compare,
-                           pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
+  result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
+                             medsum = FALSE, digits = digits,
+                             compare.method = compare.method, compare.args = compare.args,
+                             p.compare = p.compare,
+                             pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
 
   # Preparation of models and data
   subgroup.char <- all.vars(subgroup.model)
+
   #browser()
   for (k in 1:length(subgroup.char)){
     main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
@@ -1436,9 +1492,24 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
     result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
                                       subgroup.char[k], attr(data[, subgroup.char[k]], "label"))
     ia.pval <-
-      if (compare.method == 'cox')
-        anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "Pr(>|Chi|)"]
-      else{
+      if (compare.method == 'cox'){
+        if (ms){
+          etype <- compare.args$cause
+          fg.ia <- survival::finegray(ia.model, data=data, etype=etype)
+          fg.main <- survival::finegray(main.model, data=data, etype=etype)
+
+          anova(
+            survival::coxph(update(ia.model, Surv(fgstart,fgstop,fgstatus)~.),
+                            data=fg.ia, weights=fgwt),
+            survival::coxph(update(main.model, Surv(fgstart,fgstop,fgstatus)~.),
+                            data=fg.main, weights=fgwt),
+            test = "Chisq")[2, "Pr(>|Chi|)"]
+        } else {
+          anova(survival::coxph(ia.model, data = data),
+                survival::coxph(main.model, data = data),
+                test = "Chisq")[2, "Pr(>|Chi|)"]
+        }
+      } else {
         # fitter <- eventglm::rmeanglm
         ia.args <- compare.args
         ia.args$add.prop.haz.test <- NULL
@@ -1509,11 +1580,11 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
   )
   compare.name <- switch(compare.method,
                          cuminc='Generalized linear models for cumulative incidence',
-                         cox='Cox proportional hazards model',
+                         cox=if (ms) 'Fine-Gray model' else 'Cox proportional hazards model',
                          rmst='Restricted mean survival time model')
   footer <- c(
     compare.note,
-    paste(compare.stat, "and p value were based on", compare.name, '.'),
+    paste(compare.stat, "and p value were based on", paste0(compare.name, '.')),
     "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
     footer)
 
@@ -1583,3 +1654,4 @@ print.ss_tbl <- function(sstable, pretty=getOption('ss_pretty.print', TRUE)){
     )
   invisible(sstable)
 }
+
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 26790e6..783cab4 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -35,7 +35,9 @@ sstable.survcomp(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time, "none" to not doing comparison}
+\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
+If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 
 \item{add.prop.haz.test}{[\code{TRUE}] (legacy, depricated), please move this to compare.args}
 
@@ -57,7 +59,9 @@ sstable.survcomp(
 
 \item{compare.args:}{a list of additional args for compare.methods,
 
- For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+ For compare.method = 'cox', it is
+ `add.prop.haz.test` [\code{TRUE}]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+ only when model is a mstate model, `cause`, default to whatever the first cause.
 
  For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
  `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index ead1783..e93c043 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -34,7 +34,9 @@ sstable.survcomp.subgroup(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for coxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time}
+\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
+If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 
 \item{p.compare}{[\code{TRUE}] a logical value, specifying whether we should report p-value for the main comparison}
 
@@ -56,7 +58,9 @@ sstable.survcomp.subgroup(
 
 \item{compare.args:}{a list of additional args for compare.methods,
 
- For compare.method = 'cox', it is add.prop.haz.test [TRUE]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+ For compare.method = 'cox', it is
+ `add.prop.haz.test` [\code{TRUE}]: a logical value specifies whether a test for proportional hazards should be added,, additional args are fed directly to `survival::coxph`.
+ only when model is a mstate model, `cause`, default to whatever the first cause.
 
  For compare.method = 'cuminc', args are fed to \code{\link[eventglm:cumincglm]{cumincglm}}
  `type`: [\code{diff}] a string, "diff" for difference in cumulative incidence, "ratio' for ratio of cumulative incidence,

From 36cf9dcc33be94a8b9db824329d3a3b50b06acda Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 9 Jul 2024 12:13:57 +0700
Subject: [PATCH 130/193] fix typo.

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 0fbad9d..f9f9f89 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1024,7 +1024,7 @@ if (!is.null(group.var.priority)) {
 #' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method [\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+#' @param compare.method [\code{cox}] a string, either "cox" for CoxPH model, "cuminc" for cumulative incidence, or "rmst" for restricted mean survival time.
 #' Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
 #' If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.
 #'
@@ -1413,7 +1413,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
-#' @param compare.method [\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+#' @param compare.method [\code{cox}] a string, either "cox" for CoxPH model, "cuminc" for cumulative incidence, or "rmst" for restricted mean survival time.
 #' Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
 #' If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.
 #'

From 7ca9be5de45039b70d1351e521f83e6431583ea1 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 9 Jul 2024 12:43:05 +0700
Subject: [PATCH 131/193] fix bug strata gg_ajsurvplot2

---
 R/gg_ajsurvplot.R                | 2 +-
 man/sstable.survcomp.Rd          | 2 +-
 man/sstable.survcomp.subgroup.Rd | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index a36bda0..bd58e79 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -130,7 +130,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   # browser()
   facet.vars <- formula.tools::get.vars(facet.by)
   for (v in facet.vars) dt$strata <- gsub(
-    paste0(v,'=.*(,\\s)|$'), '', dt$strata, perl=T)
+    paste0('(,\\s)?',v,'=.*(,\\s|$)'), '', dt$strata, perl=T)
   plt <- if (all(dt$strata == ''))
    ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
   else
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 783cab4..0d43fef 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -35,7 +35,7 @@ sstable.survcomp(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminc" for cumulative incidence, or "rmst" for restricted mean survival time.
 Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
 If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index e93c043..77dd801 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -34,7 +34,7 @@ sstable.survcomp.subgroup(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminc" for cumulative incidence, or "rmst" for restricted mean survival time.
 Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
 If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 

From f2037e5cda165872f7aca84697cecf50d4387548 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 9 Jul 2024 12:47:11 +0700
Subject: [PATCH 132/193] fix survival namespace

---
 R/gg_ajsurvplot.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index bd58e79..29432e3 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -105,7 +105,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   fg1 <- do.call(survival::finegray, fgargs.each[[1]])
   fg2 <- do.call(survival::finegray, fgargs.each[[2]])
   # browser()
-  fml <- force(update(formula, Surv(fgstart,fgstop,fgstatus)~.))
+  fml <- force(update(formula, survival::Surv(fgstart,fgstop,fgstatus)~.))
 
   sf1 <- eval(substitute(survival::survfit(fml, data = fg1,  weights=fgwt), list(fml=fml)))
   sf2 <- eval(substitute(survival::survfit(fml, data = fg2,  weights=fgwt), list(fml=fml)))

From 68322960189baee086f3519d03c609bcaa65c11c Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Wed, 10 Jul 2024 09:42:16 +0700
Subject: [PATCH 133/193] update aetype.var header

---
 R/ssformat.R |  12 +-
 R/sstable.R  | 321 +++++++++++++++++++++++++++++++--------------------
 2 files changed, 206 insertions(+), 127 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index 284b09b..274f275 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -102,7 +102,12 @@ ss_format <- function(sstable, header = c(), section = c(), body = c(), template
   if (!is.na(template)) template <- match.arg(template)
   sstable <- ss_template(sstable, template = template)
   if (.guess) {
-    no.guess <- na.omit(as.numeric(c(header, section, body)))
+    no.guess.in.table <- which(grepl(
+      '(header)|(section)|(body)',
+      rownames(sstable),
+      perl = TRUE
+    ))
+    no.guess <- union(no.guess.in.table, na.omit(as.numeric(c(header, section, body))))
     # filter out from guess what have been defined
     guess <- ss_guess_format(sstable)
     h <- which(guess == 'header')
@@ -254,10 +259,13 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 
   ## section format
   for (k in section){
-    ft <- flextable::bold(ft, i = k-length(header), j = 1:ncol(sstable), part = 'body')
+
     ### merging cells that from the left if the whole row is empty
     if (all(sstable[k, -1] == '') %in% TRUE)
       ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = 'body')
+    else ft <- flextable::merge_h(ft, i = k , part = 'body')
+
+    ft <- flextable::bold(ft, i = k-length(header), j = 1, part = 'body')
   }
 
   ## format flextable
diff --git a/R/sstable.R b/R/sstable.R
index 2b89419..837c430 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -216,7 +216,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   ## determine type of z
   if (!is.null(z)) {
     zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
-                            (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
+      (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
     # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
     if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
   }
@@ -602,6 +602,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     # Replace NA values with "Grade NA"
     ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
   }
+  # Check if any aetype.var is NA and replace with "NA"
+  for (var in aetype.var) {
+    if (any(is.na(ae_data[[var]]))) {
+      ae_data[[var]][is.na(ae_data[[var]])] <- "NA"
+    }
+  }
 
   tmp <- match.call()
   if (length(aetype.var) > 1){
@@ -611,6 +617,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     tbl1_call$aetype.var <- aetype.var[[1]]
     tbl1_call$flextable <- FALSE
     tbl1 <- eval(tbl1_call, envir = env)
+    rownames(tbl1$table)[4+n.grade] = 'section'
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
@@ -618,17 +625,20 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                tbl_call$aetype.var <- .aetype.var
                tbl_call$flextable <- FALSE
                # tbl_call$grade.var = NULL
-               eval(tbl_call, envir=env)
+               z = eval(tbl_call, envir=env)
+               rownames(z$table)[4+n.grade] = 'section'
+               z
              })
     tbl2 <- tbl2p[[1]]
 
     # tbl2$table <- tbl2$table[-c(1:(3+n.grade)),]
     for (tbl3 in tbl2p[-1]) tbl2 <- .do_rbind(tbl2, tbl3, header=c(1:(3+n.grade)))
     # browser()
-     out <- ._do_rbind(tbl1, tbl2, header=c(1:(3+n.grade)))
-     if (flextable) return(ss_flextable(out))
-     return(out)
-    }
+    out <- ._do_rbind(tbl1, tbl2, header=c(1:(3+n.grade)))
+    # rownames(out)[c(3,4,5,8)] <- 'section'
+    if (flextable) return(ss_flextable(out))
+    return(out)
+  }
 
   ## check variable's name
 
@@ -674,13 +684,35 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
   }
 
-  ## add aetype of "Any selected AE" & format aetype
-  ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
-  ae <- rbind(ae_data, ae_any)
-  # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
-  # browser()
+  # Original data frame ae_data assumed to exist
+  # Ensure ae_data, ae_any, ae_grade, etc., are defined appropriately in your script
+
+  replace_with_var_names <- function(df, var, aetype_var) {
+  # Identify rows where aetype_var is not "NA"
+  not_na_rows <- df[[aetype_var]] != "NA"
 
-  ## extract grades of ae
+  # Replace values with variable names or labels only where not "NA"
+  if (!is.null(attr(df[[var]], "label"))) {
+    df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
+  } else {
+    df[[aetype_var]][not_na_rows] <- var  # Fallback to default label
+  }
+
+  # Delete rows where aetype_var is "NA"
+  df <- df[not_na_rows, , drop = FALSE]
+
+  return(df)
+}
+
+  # Example usage with ae_any data frame mutation
+  ae_any <- ae_data  # Assuming ae_data is your original data frame
+
+  mutated_data <- replace_with_var_names(ae_any, aetype.var, aetype.var)
+  ae_any[, aetype.var] <- "Any selected adverse event"
+  # Combine original and mutated data (assuming ae_data and ae_any exist)
+  ae <- rbind(ae_data, ae_any, mutated_data)
+
+  # Extract grades of ae (assuming grade.var exists)
   if (!is.null(grade.var)) {
     grade <- sort(unique(na.omit(ae_data[, grade.var])))
     grade2 <- ifelse(grepl(pattern = "grade", ignore.case = TRUE, x = grade), grade, paste("Grade", grade))
@@ -691,14 +723,28 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
                           return(tmpdat)
                         }))
     ae <- rbind(ae, ae_grade)
-    # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
   }
-  ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
-  # browser()
 
+  # Select necessary columns and rename them
+  ae <- ae[, c(id.var, aetype.var)]
+  colnames(ae) <- c("id", "aetype")
+
+
+  # Get unique levels of aetype
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
+
+  # Check if aetype.var has a label attribute
+  if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
+    aetype.var.label <- attr(ae_data[[aetype.var]], "label")
+  } else {
+    aetype.var.label <- aetype.var
+ # Use default label
+  }
+
+  # Construct aetype_lev with labels where available
   aetype_lev <- c("Any selected adverse event",
                   if (!is.null(grade.var)) paste("-", grade2),
+                  aetype.var.label,
                   aetype_lev.raw)
 
   ## add randomized arm to AE
@@ -706,6 +752,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     mutate(arm = addNA(factor(as.character(arm), levels = arm_lev, exclude = NULL), ifany = TRUE),
            aetype = addNA(factor(as.character(aetype), levels = aetype_lev, exclude = NULL), ifany = TRUE))
   idarm2 <- ae_arm |> select(id, arm)
+
   ## calculate episodes and patients
   ae_count <- ae_arm %>%
     group_by(aetype, arm) %>%
@@ -720,7 +767,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   episode_n[is.na(episode_n)] <- 0
   patient_n <- unlist(spread(select(ae_count, -n_episode), key = arm, value = n_patient)[, -1])
   patient_n[is.na(patient_n)] <- 0
-  patient_N <- rep(table(idarm2$arm), each = nlevels(ae_arm$aetype))
+  patient_N <- rep(table(idarm$arm), each = nlevels(ae_arm$aetype))
   # tryCatch(patient_n/patient_N, warning=function(w) browser())
   patient_p <- patient_n/patient_N
 
@@ -729,7 +776,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   value <- matrix(ncol = nlevels(ae_arm$arm)*3, nrow = nlevels(ae_arm$aetype))
   value[, seq(from = 1, to = nlevels(ae_arm$arm)*2, by = 2)] <- episode_n
   value[, seq(from = 2, to = nlevels(ae_arm$arm)*2, by = 2)] <- paste0(patient_n, "/", patient_N,
-                                                             " (", formatC(100 * patient_p, digits, format = "f"), "%)")
+                                                                       " (", formatC(100 * patient_p, digits, format = "f"), "%)")
   ## add raw values to 2 dummy columns for sorting purpose
   value[, (nlevels(ae_arm$arm)*2 + 1):(nlevels(ae_arm$arm)*3)] <- patient_n
   ae_value <- cbind(aename = levels(ae_arm$aetype), value)
@@ -749,18 +796,18 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     group_data[,aetype.var] <- as.character(group_data[,aetype.var])
     names(group_data) <- c(aetype.var, '.tmp.group')
 
-if (!is.null(group.var.priority)) {
-  # Reorder group.var based on group.var.priority
-  group_data <- group_data %>%
-    mutate(.tmp.group = factor(.tmp.group, levels = c(group.var.priority, setdiff(unique(.tmp.group), group.var.priority)), ordered = TRUE))
-}
-  # } else {
-  #   ## - create a fake grouping
-  #   group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
-  #   names(group_data) <- c(aetype.var, '.tmp.group')
-  # }
+    if (!is.null(group.var.priority)) {
+      # Reorder group.var based on group.var.priority
+      group_data <- group_data %>%
+        mutate(.tmp.group = factor(.tmp.group, levels = c(group.var.priority, setdiff(unique(.tmp.group), group.var.priority)), ordered = TRUE))
+    }
+    # } else {
+    #   ## - create a fake grouping
+    #   group_data <- data.frame(ae = aetype_lev.raw, group=1, stringsAsFactors = FALSE)
+    #   names(group_data) <- c(aetype.var, '.tmp.group')
+    # }
 
-  # browser()
+    # browser()
 
     ### bind group back to summary table -trinhdhk
     ae_value.headless <-
@@ -816,7 +863,7 @@ if (!is.null(group.var.priority)) {
                          simulate.p.value = simulate.p.value, B = B,
                          workspace = workspace, hybrid = hybrid){
       chi.out <- tryCatch(suppressWarnings(chisq.test(x = mat, correct = correct,
-                                     simulate.p.value = simulate.p.value, B = B)),
+                                                      simulate.p.value = simulate.p.value, B = B)),
                           error = function(e) NA)
       if (length(chi.out) == 1) # that implicits the NA value, so no more NA check here
         return(chi.out)
@@ -853,19 +900,20 @@ if (!is.null(group.var.priority)) {
 
     ## add grouping row - trinhdhk
     # browser()
-      ae_value <-
-        left_join(
-          ae_value,
-          cbind(aetype=aetype_lev, pval) %>%
-            as.data.frame(stringsAsFactors = FALSE) %>%
-            rename({{aetype.var}} := aetype),
-          by = aetype.var
-        ) %>%
-        mutate(pval = replace_na(as.character(pval), ''))
+    ae_value <-
+      left_join(
+        ae_value,
+        cbind(aetype=aetype_lev, pval) %>%
+          as.data.frame(stringsAsFactors = FALSE) %>%
+          rename({{aetype.var}} := aetype),
+        by = aetype.var
+      ) %>%
+      mutate(pval = replace_na(as.character(pval), ''))
   }
 
   # browser()
-
+  #make index 1 for case aetype.var = 1 -hungtt
+  index_aetype <- length(unique(ae_data[, grade.var]))
   ## sorting - trinhdhk
   if (!missing(sort.by)){
     ## - the head will not be sorted.
@@ -953,6 +1001,13 @@ if (!is.null(group.var.priority)) {
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")
+    # return(ss_flextable({
+    #   tab <- list(table = rbind(header1, header2, ae_value),
+    #               footer = footer)
+    #   class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
+    #   class(tab) <- c('ss_ae','ss_obj')
+    #   tab
+    # }))
 
     ## main table
     colnames(ae_value) <- rep("", ncol(ae_value))
@@ -997,6 +1052,7 @@ if (!is.null(group.var.priority)) {
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+    tab <- flextable::bold(tab, i = index_aetype + 2, j=1, part = "body")
     ### group-name rows-trinhdhk
     if (is.grouped) {
       tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
@@ -1065,6 +1121,14 @@ sstable.survcomp <- function(
   # Initialise the table --------------------------
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
+  NAs <- model.frame(update(model, .~1), data=data) |> attr('na.action') |> unname()
+  if (length(NAs)){
+    warning(sprintf('Missing values on observation(s) %s',
+                    paste(NAs,collapse=', ')))
+    # data <- data[seq_len(nrow(data))[-NAs],]
+    data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
+  }
+
   compare.method <- match.arg(compare.method)
   reference.arm <- match.arg(reference.arm)
 
@@ -1079,19 +1143,19 @@ sstable.survcomp <- function(
   # Table header
   header1 <- c(paste(arm.names, " (n=", table(data[, arm.var]), ")", sep = ""), "Comparison")
   compare.stat <- switch(compare.method,
-    cox = 'HR',
-    cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
-    else switch(compare.args$type,
-                diff = 'Cumul.inc difference',
-                ratio = 'Cumul.inc ratio',
-                stop('Illegal type for cumulative incidence comparison model')),
-    rmst = if (is.null(compare.args$type)) 'RMST difference'
-           else switch(compare.args$type,
-                      diff = 'RMST difference',
-                      lost.diff = 'RMTL difference',
-                      ratio = 'RMST ratio',
-                      lost.ratio = 'RMTL ratio',
-                      stop('Illegal type for RMST comparison model')))
+                         cox = 'HR',
+                         cuminc = if (is.null(compare.args$type)) 'Cumul.inc difference'
+                         else switch(compare.args$type,
+                                     diff = 'Cumul.inc difference',
+                                     ratio = 'Cumul.inc ratio',
+                                     stop('Illegal type for cumulative incidence comparison model')),
+                         rmst = if (is.null(compare.args$type)) 'RMST difference'
+                         else switch(compare.args$type,
+                                     diff = 'RMST difference',
+                                     lost.diff = 'RMTL difference',
+                                     ratio = 'RMST ratio',
+                                     lost.ratio = 'RMTL ratio',
+                                     stop('Illegal type for RMST comparison model')))
 
   header2 <- c(rep(ifelse(add.risk, "events/n (risk [%])", "events/n"), length(arm.names)), paste(compare.stat, if (p.compare) "(95%CI); p-value" else "(95%CI)"))
   header <- rbind(header1, header2)
@@ -1147,8 +1211,8 @@ sstable.survcomp <- function(
   if (compare.method == "cox"){
     if (!is.null(compare.args$add.prop.haz.test)) add.prop.haz.test <- compare.args$add.prop.haz.test
     if (length(events.n) < length(arm.names)) {
-    result[3, length(arm.names) + 1] <- "-"
-    if (add.prop.haz.test){result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))}
+      result[3, length(arm.names) + 1] <- "-"
+      if (add.prop.haz.test){result <- cbind(result, c("Test for proportional hazards", "p-value", "-"))}
     } else {
       compare.args$add.prop.haz.test <- NULL
       compare.args$formula <- model
@@ -1162,21 +1226,21 @@ sstable.survcomp <- function(
 
       result[3, length(arm.names) + 1] <-
         ifelse(is.na(est),"-",
-        {
-          se <- sqrt(fit.coxph$var)[[1]] # trinhdhk: if there were more covariables than just arm, $var returns a var-cov mat, this first element is the var of arm (given arm is the first covariable)
-          z <- abs(est/se)
-          pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
-          ci <- sapply(est, \(.est) {
-            paste(formatC(exp(c(.est - qnorm(0.975) * se, .est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
-          })
-          if (p.compare){
-            hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
-          } else {
-            hr.ci.p <- paste(hr, " (", ci, ")", sep = "")
-          }
-
-          hr.ci.p
-        })
+               {
+                 se <- sqrt(fit.coxph$var)[[1]] # trinhdhk: if there were more covariables than just arm, $var returns a var-cov mat, this first element is the var of arm (given arm is the first covariable)
+                 z <- abs(est/se)
+                 pval <- format.pval((1 - pnorm(z)) * 2, eps = pcutoff, digits = pdigits)
+                 ci <- sapply(est, \(.est) {
+                   paste(formatC(exp(c(.est - qnorm(0.975) * se, .est + qnorm(0.975) * se)), digits, format = "f"), collapse = ", ")
+                 })
+                 if (p.compare){
+                   hr.ci.p <- paste(hr, " (", ci, "); p=", pval, sep = "")
+                 } else {
+                   hr.ci.p <- paste(hr, " (", ci, ")", sep = "")
+                 }
+
+                 hr.ci.p
+               })
 
       # add test for proportional hazards
       if (add.prop.haz.test){
@@ -1240,7 +1304,7 @@ sstable.survcomp <- function(
       }
 
       # Perform rmeanglm
-    # rmeanglm <- eventglm::rmeanglm
+      # rmeanglm <- eventglm::rmeanglm
       fitter <- if (compare.method == 'rmst') eventglm::rmeanglm else eventglm::cumincglm
       fit.rmst <- do.call(fitter, compare.args)
       est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
@@ -1250,20 +1314,20 @@ sstable.survcomp <- function(
 
       result[3, length(arm.names) + 1] <-
         ifelse(is.na(est),"-",
-        {
-          summary.rmst <- summary(fit.rmst)$coefficients
-          p <- summary.rmst[2:length(arm.names), 'Pr(>|z|)']
-          pval <- format.pval(p, eps = pcutoff, digits = pdigits)
-          cf <- confint(fit.rmst)[2:length(arm.names),, drop=FALSE]
-          ci <- apply(cf, 1,
-            \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
-          )
-          if (p.compare){
-            diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
-          } else {
-            diff.ci.p <- paste(diff, " (", ci, ")", sep = "")
-          }
-        })
+               {
+                 summary.rmst <- summary(fit.rmst)$coefficients
+                 p <- summary.rmst[2:length(arm.names), 'Pr(>|z|)']
+                 pval <- format.pval(p, eps = pcutoff, digits = pdigits)
+                 cf <- confint(fit.rmst)[2:length(arm.names),, drop=FALSE]
+                 ci <- apply(cf, 1,
+                             \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
+                 )
+                 if (p.compare){
+                   diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
+                 } else {
+                   diff.ci.p <- paste(diff, " (", ci, ")", sep = "")
+                 }
+               })
     }
 
   }
@@ -1384,18 +1448,25 @@ sstable.survcomp <- function(
 #' @import survival
 #' @export
 sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
-  time = Inf,
-  reference.arm = c('B', 'A'),
-  compare.method = c('cox', 'rmst', 'cuminc'),
-  compare.args = list(),
-  p.compare = TRUE,
-  digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
+                                      time = Inf,
+                                      reference.arm = c('B', 'A'),
+                                      compare.method = c('cox', 'rmst', 'cuminc'),
+                                      compare.args = list(),
+                                      p.compare = TRUE,
+                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
 
 
   requireNamespace("survival")
 
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
+  NAs <- model.frame(update(base.model, .~1), data=data) |> attr('na.action') |> unname()
+  if (length(NAs)){
+    warning(sprintf('Missing values on observation(s) %s',
+                    paste(NAs,collapse=', ')))
+    # data <- data[seq_len(nrow(data))[-NAs],]
+    data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
+  }
   compare.method <- match.arg(compare.method)
 
   # arm.var <- if (length(base.model[[3]]) > 1) {
@@ -1407,11 +1478,11 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
-                           medsum = FALSE, digits = digits,
-                           compare.method = compare.method, compare.args = compare.args,
-                           p.compare = p.compare,
-                           pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
+  result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
+                             medsum = FALSE, digits = digits,
+                             compare.method = compare.method, compare.args = compare.args,
+                             p.compare = p.compare,
+                             pdigits = 3, pcutoff = pcutoff, flextable = FALSE, ...)$table[,-1]
   result <- cbind(c("Subgroup", "", "All patients"), result, c("Test for heterogeneity", "p-value", ""))
 
   # Preparation of models and data
@@ -1430,36 +1501,36 @@ result <- sstable.survcomp(model = base.model, data = data, time=time, reference
     ia.pval <-
       if (compare.method == 'cox')
         anova(survival::coxph(ia.model, data = data), survival::coxph(main.model, data = data), test = "Chisq")[2, "Pr(>|Chi|)"]
-      else{
-        # fitter <- eventglm::rmeanglm
-        ia.args <- compare.args
-        ia.args$add.prop.haz.test <- NULL
-        # ia.args$formula <- ia.model
-        ia.args$data <- data
-        type <- if (is.null(ia.args$type)) 'diff' else ia.args$type
-        ia.args$type <- NULL
-        ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
-        ia.args$model.censoring <- if (is.null(ia.args$model.censoring)) 'stratified'
-        ia.args$formula.censoring <- if (is.null(ia.args$formula.censoring)) as.formula(paste0("~`", arm.var,'`'))
-        mf <- model.frame(update(base.model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
-        mf <- cbind(unclass(mf[,1]), mf[,2])
-        # Get max of stop time, is the minimum of last observed time between two arms.
-        # The stop time for right cens data is the first column ($time), for interval-cens data it is the second column ($stop)
-        # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
-        # browser()
-        minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
-        # tau for rmst is capped as minamax.time
-        if (is.null(ia.args$time)) ia.args$time <- minimax.time
-        else if (ia.args$time > minimax.time) {
-          ia.args$time <- minimax.time
-        }
-        # browser()
-        anova(
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
-         test = "Chisq"
-        )[2, "Pr(>Chi)"]
+    else{
+      # fitter <- eventglm::rmeanglm
+      ia.args <- compare.args
+      ia.args$add.prop.haz.test <- NULL
+      # ia.args$formula <- ia.model
+      ia.args$data <- data
+      type <- if (is.null(ia.args$type)) 'diff' else ia.args$type
+      ia.args$type <- NULL
+      ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
+      ia.args$model.censoring <- if (is.null(ia.args$model.censoring)) 'stratified'
+      ia.args$formula.censoring <- if (is.null(ia.args$formula.censoring)) as.formula(paste0("~`", arm.var,'`'))
+      mf <- model.frame(update(base.model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
+      mf <- cbind(unclass(mf[,1]), mf[,2])
+      # Get max of stop time, is the minimum of last observed time between two arms.
+      # The stop time for right cens data is the first column ($time), for interval-cens data it is the second column ($stop)
+      # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
+      # browser()
+      minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
+      # tau for rmst is capped as minamax.time
+      if (is.null(ia.args$time)) ia.args$time <- minimax.time
+      else if (ia.args$time > minimax.time) {
+        ia.args$time <- minimax.time
       }
+      # browser()
+      anova(
+        do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
+        do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
+        test = "Chisq"
+      )[2, "Pr(>Chi)"]
+    }
 
     result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
@@ -1572,6 +1643,6 @@ print.ss_tbl <- function(sstable, pretty=getOption('ss_pretty.print', TRUE)){
       print(huxtable::as_hux(sstable) |> huxtable::theme_article())
     },
     error = function(e) {print.default(sstable)}
-    )
+  )
   invisible(sstable)
 }

From be9b2b1abb2066b3c0eb243f7bec25a0abb036b5 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Wed, 10 Jul 2024 11:01:30 +0700
Subject: [PATCH 134/193] Update sstable.R

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 837c430..3359d3e 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1056,7 +1056,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     ### group-name rows-trinhdhk
     if (is.grouped) {
       tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
-      tab <- flextable::bold(tab, i = grouptitle_index, part = "body") # Bold the group.var rows
+      tab <- flextable::bold(tab, i = grouptitle_index, part = "body") # Bold the group.var rows - hungtt
     }
 
   } else {

From 95bd03900d6278b3d2290c01790f9625aa138c7e Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Wed, 10 Jul 2024 11:03:15 +0700
Subject: [PATCH 135/193] minor changes

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 4c6be97..6eb7cbf 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -913,7 +913,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   # browser()
   #make index 1 for case aetype.var = 1 -hungtt
-  index_aetype <- length(unique(ae_data[, grade.var]))
+  index_aetype.var <- length(unique(ae_data[, grade.var]))
   ## sorting - trinhdhk
   if (!missing(sort.by)){
     ## - the head will not be sorted.
@@ -1052,7 +1052,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    tab <- flextable::bold(tab, i = index_aetype + 2, j=1, part = "body")
+    tab <- flextable::bold(tab, i = index_aetype.var + 2, j=1, part = "body")
     ### group-name rows-trinhdhk
     if (is.grouped) {
       tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))

From 04586a9463c92ea041b6ff2c1375cbf916b664ae Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Tue, 9 Jul 2024 12:43:05 +0700
Subject: [PATCH 136/193] fix survival namespace

fix bug strata gg_ajsurvplot2
---
 R/gg_ajsurvplot.R                | 4 ++--
 man/sstable.survcomp.Rd          | 2 +-
 man/sstable.survcomp.subgroup.Rd | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index a36bda0..29432e3 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -105,7 +105,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   fg1 <- do.call(survival::finegray, fgargs.each[[1]])
   fg2 <- do.call(survival::finegray, fgargs.each[[2]])
   # browser()
-  fml <- force(update(formula, Surv(fgstart,fgstop,fgstatus)~.))
+  fml <- force(update(formula, survival::Surv(fgstart,fgstop,fgstatus)~.))
 
   sf1 <- eval(substitute(survival::survfit(fml, data = fg1,  weights=fgwt), list(fml=fml)))
   sf2 <- eval(substitute(survival::survfit(fml, data = fg2,  weights=fgwt), list(fml=fml)))
@@ -130,7 +130,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   # browser()
   facet.vars <- formula.tools::get.vars(facet.by)
   for (v in facet.vars) dt$strata <- gsub(
-    paste0(v,'=.*(,\\s)|$'), '', dt$strata, perl=T)
+    paste0('(,\\s)?',v,'=.*(,\\s|$)'), '', dt$strata, perl=T)
   plt <- if (all(dt$strata == ''))
    ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
   else
diff --git a/man/sstable.survcomp.Rd b/man/sstable.survcomp.Rd
index 783cab4..0d43fef 100644
--- a/man/sstable.survcomp.Rd
+++ b/man/sstable.survcomp.Rd
@@ -35,7 +35,7 @@ sstable.survcomp(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminc" for cumulative incidence, or "rmst" for restricted mean survival time.
 Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
 If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index e93c043..77dd801 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -34,7 +34,7 @@ sstable.survcomp.subgroup(
 
 \item{reference.arm}{[\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm}
 
-\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminct" for cumulative incidence, or "rmst" for restricted mean survival time.
+\item{compare.method}{[\code{cox}] a string, either "cox" for CoxPH model, "cuminc" for cumulative incidence, or "rmst" for restricted mean survival time.
 Note that if "cox" is specified and model is a mstate model, a Fine-Gray model is used.
 If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 

From 03050f9d5db8fd3101c8aff89df8ad363498f5de Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Wed, 10 Jul 2024 14:10:25 +0700
Subject: [PATCH 137/193] Recover sstable.survcomp

---
 R/sstable.R | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 6eb7cbf..4a2c13b 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1607,12 +1607,6 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         )[2, "Pr(>Chi)"]
       }
       # browser()
-      anova(
-        do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
-        do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
-        test = "Chisq"
-      )[2, "Pr(>Chi)"]
-    }
 
     result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 

From 3913f66cf6ec5e851beceab91b261e93653dcf57 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Wed, 10 Jul 2024 14:58:35 +0700
Subject: [PATCH 138/193] Update sstable.R

---
 R/sstable.R | 34 ++++++++++++++++++++--------------
 1 file changed, 20 insertions(+), 14 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 4a2c13b..f6f417e 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -130,7 +130,8 @@ contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mea
 #' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
 #' @param keepEmptyGroup a logical value specifying whether should keep empty groups
 #' @param statistics a character specifies summary statistics for continuous row variables.
-#' @param continuous a logical vector specifies whether each row variables is continuous or categorical.
+#' @param cont a vector specifies whether each row variables is continuous.
+#' @param cate a vector specifies whether each row variables is categorical.
 #' @param digits a number specifies number of significant digits for numeric statistics.
 #' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
 #' @param pdigits a number specifies number of significant digits for p value.
@@ -148,7 +149,7 @@ contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mea
 #' @return a flextable-type table or a list with values/headers/footers
 #' @export
 sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
-                             statistics = "med.IQR", continuous = NA, fullfreq = TRUE, digits = 1,
+                             statistics = "med.IQR", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
                              test = FALSE, pdigits = 3, pcutoff = 0.0001,
                              chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
                              workspace = 1000000, hybrid = FALSE,
@@ -186,13 +187,17 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 
   #browser()
 
-  ## determine type of x (argument: continuous)
-  if (length(continuous) == 1) {
-    continuous <- rep(continuous, ncol(x))
-  } else {
-    if (length(continuous) != ncol(x)) stop("continuous argument must have length 1 or similar length as number of row-wise variables !!!")
-  }
-
+  ## determine type of x (argument: cont and cate)
+  varlist <- getvar(formula) #hungtt
+  varlist <- varlist[-length(varlist)] #remove the y name
+  
+  # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
+  varlist_lower <- tolower(varlist)
+  cont_lower <- tolower(cont)
+  cate_lower <- tolower(cate)
+  
+  continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
+  
   continuous <- sapply(1:ncol(x), function(i) {
     out <- ifelse(is.na(continuous[i]),
                   ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
@@ -200,19 +205,19 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
                   continuous[i])
     return(out)
   })
-
-
+  
+  
   for (i in (1:ncol(x))) {
     if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
   }
-
+  
   ## if z exists, x must be categorical
   if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
-
+  
   ## if use by-row layout, x must be categorical
   #browser()
   if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
-
+  
   ## determine type of z
   if (!is.null(z)) {
     zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
@@ -220,6 +225,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
     if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
   }
+  
   # browser()
   ## digits
   if (length(digits) == 1) {

From a90c91841f6f1b78f4b86b9c24c9b04f022d751d Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Wed, 10 Jul 2024 21:38:09 +0700
Subject: [PATCH 139/193] update use label for baseline table

if variable has label it will use the label to report
---
 R/sstable.R | 22 +++++++++++++++++++---
 1 file changed, 19 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index f6f417e..674e62d 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -248,10 +248,26 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
 
+  
+  
+  # Loop through the variables in varlist
+  requireNamespace("Hmisc")
+  for (i in seq_along(varlist)) {
+    var_name <- varlist[i]
+    var_label <- label(data[[var_name]])
+    
+    # Check if the variable has a label, if so, collect the label, otherwise collect the variable name
+    if (!is.null(var_label) && var_label != "") {
+      label_list[i] <- var_label
+    } else {
+      label_list[i] <- var_name
+    }
+  }
+  
   ## get summary
   value <- do.call(rbind,
                    lapply(1:ncol(x), function(i) {
-                     sstable.baseline.each(varname = varname[i][[1]],
+                     sstable.baseline.each(varname = varname[i][[1]], label_list = label_list[i][[1]],
                                            x = x[, i], y = y, z = z, bycol = bycol,
                                            pooledGroup = pooledGroup, statistics = statistics,
                                            continuous = continuous[i], fullfreq = fullfreq, test = test,
@@ -380,7 +396,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   return(tab)
 }
 
-sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup = FALSE,
+sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, pooledGroup = FALSE,
                                   statistics = "med.IQR", continuous = NA, fullfreq = TRUE, test = FALSE,
                                   digits = 1, pdigits = pdigits, pcutoff = 0.0001, chisq.test = FALSE, correct = FALSE, workspace = 1000000,
                                   hybrid = FALSE, simulate.p.value = FALSE, B = 2000) {
@@ -550,7 +566,7 @@ sstable.baseline.each <- function(varname, x, y, z, bycol = TRUE, pooledGroup =
     }
   }
 
-  out[1, 1] <- varname
+  out[1, 1] <- label_list
   return(out)
 }
 

From fb5baa654a625c5fd06bc8f48d3b489a4e360310 Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Wed, 10 Jul 2024 21:55:30 +0700
Subject: [PATCH 140/193] debug labeling

---
 R/sstable.R | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 674e62d..d315ed0 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -252,9 +252,13 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   
   # Loop through the variables in varlist
   requireNamespace("Hmisc")
+  # Initialize an empty vector to store labels or variable names
+  label_list <- vector("character", length(varlist))
+  
+  # Loop through the variables in varlist
   for (i in seq_along(varlist)) {
     var_name <- varlist[i]
-    var_label <- label(data[[var_name]])
+    var_label <- Hmisc::label(data[[var_name]])
     
     # Check if the variable has a label, if so, collect the label, otherwise collect the variable name
     if (!is.null(var_label) && var_label != "") {

From a595d661f197f72fa4db653cef42c6c4094e6291 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 11 Jul 2024 14:33:33 +0700
Subject: [PATCH 141/193] Fix interaction test with subgroup.

---
 R/sstable.R | 45 +++++++++++++++++++++++++++------------------
 1 file changed, 27 insertions(+), 18 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index d315ed0..b8de585 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -190,14 +190,14 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   ## determine type of x (argument: cont and cate)
   varlist <- getvar(formula) #hungtt
   varlist <- varlist[-length(varlist)] #remove the y name
-  
+
   # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
   varlist_lower <- tolower(varlist)
   cont_lower <- tolower(cont)
   cate_lower <- tolower(cate)
-  
+
   continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
-  
+
   continuous <- sapply(1:ncol(x), function(i) {
     out <- ifelse(is.na(continuous[i]),
                   ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
@@ -205,19 +205,19 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
                   continuous[i])
     return(out)
   })
-  
-  
+
+
   for (i in (1:ncol(x))) {
     if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
   }
-  
+
   ## if z exists, x must be categorical
   if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
-  
+
   ## if use by-row layout, x must be categorical
   #browser()
   if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
-  
+
   ## determine type of z
   if (!is.null(z)) {
     zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
@@ -225,7 +225,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
     if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
   }
-  
+
   # browser()
   ## digits
   if (length(digits) == 1) {
@@ -248,18 +248,18 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
 
-  
-  
+
+
   # Loop through the variables in varlist
   requireNamespace("Hmisc")
   # Initialize an empty vector to store labels or variable names
   label_list <- vector("character", length(varlist))
-  
+
   # Loop through the variables in varlist
   for (i in seq_along(varlist)) {
     var_name <- varlist[i]
     var_label <- Hmisc::label(data[[var_name]])
-    
+
     # Check if the variable has a label, if so, collect the label, otherwise collect the variable name
     if (!is.null(var_label) && var_label != "") {
       label_list[i] <- var_label
@@ -267,7 +267,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
       label_list[i] <- var_name
     }
   }
-  
+
   ## get summary
   value <- do.call(rbind,
                    lapply(1:ncol(x), function(i) {
@@ -1578,8 +1578,9 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
     main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
     ia.model <- update(base.model, as.formula(paste(". ~ . +`", arm.var,  "`*", subgroup.char[k], sep = "")))
     data$.subgroup.var <- data[, subgroup.char[k]]
+    if (!inherits(data[, subgroup.char[k]], 'factor'))  data[, subgroup.char[k]] <- factor(data[, subgroup.char[k]])
     factor.levels <- levels(data[, subgroup.char[k]])
-
+    compare.args.subgroup <- compare.args
     # Add interaction test for heterogeneity
     result <- rbind(result, "")
     result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
@@ -1603,7 +1604,6 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
                 test = "Chisq")[2, "Pr(>|Chi|)"]
         }
       } else {
-        # fitter <- eventglm::rmeanglm
         ia.args <- compare.args
         ia.args$add.prop.haz.test <- NULL
         # ia.args$formula <- ia.model
@@ -1612,7 +1612,9 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         ia.args$type <- NULL
         ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
         ia.args$model.censoring <- if (is.null(ia.args$model.censoring)) 'stratified'
-        ia.args$formula.censoring <- if (is.null(ia.args$formula.censoring)) as.formula(paste0("~`", arm.var,'`'))
+        ia.args$formula.censoring <-
+          if (is.null(ia.args$formula.censoring)) update(main.model, NULL ~.) else
+            update(ia.args$formula.censoring, as.formula(paste("NULL ~ . +", subgroup.char[k], sep = "")))
         mf <- model.frame(update(base.model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
         mf <- cbind(unclass(mf[,1]), mf[,2])
         # Get max of stop time, is the minimum of last observed time between two arms.
@@ -1625,7 +1627,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         else if (ia.args$time > minimax.time) {
           ia.args$time <- minimax.time
         }
-        # browser()
+        # browsere)
         anova(
           do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
           do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
@@ -1641,6 +1643,13 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
       result <- rbind(result, "")
       result[nrow(result), 1] <- paste("-", factor.levels[j])
       d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
+      # if (compare.method=='rmst'){
+      #   compare.args$model.censoring <- if (is.null(compare.args$model.censoring)) 'stratified'
+      #   compare.args$formula.censoring <-
+      #     if (is.null(compare.args$formula.censoring)) update(main.model, NULL ~.) else
+      #       update(compare.args$formula.censoring, as.formula(paste("NULL ~ . +", subgroup.char[k], sep = "")))
+      # }
+      # browser()
       result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup, time=time,
                                                                      compare.method = compare.method, compare.args = compare.args,
                                                                      p.compare = p.compare,

From 5c7f5dda11c066f53a783eea4395918e18490c29 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 11 Jul 2024 14:52:27 +0700
Subject: [PATCH 142/193] Fix missing predictor is survcomp ia.

---
 R/sstable.R | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/R/sstable.R b/R/sstable.R
index b8de585..43c9fea 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1608,6 +1608,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         ia.args$add.prop.haz.test <- NULL
         # ia.args$formula <- ia.model
         ia.args$data <- data
+
         type <- if (is.null(ia.args$type)) 'diff' else ia.args$type
         ia.args$type <- NULL
         ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
@@ -1622,11 +1623,23 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
         # browser()
         minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
+
         # tau for rmst is capped as minamax.time
         if (is.null(ia.args$time)) ia.args$time <- minimax.time
         else if (ia.args$time > minimax.time) {
           ia.args$time <- minimax.time
         }
+
+        # Remove missing value from predictor bc this causes problem in censoring model
+        NAs <- model.frame(main.model, data=data) |> attr('na.action') |> unname()
+        if (length(NAs)){
+          warning(sprintf('Missing %s on observation(s) %s',
+                          subgroup.char[k],
+                          paste(NAs,collapse=', ')))
+          # data <- data[seq_len(nrow(data))[-NAs],]
+          ia.args$data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
+        }
+
         # browsere)
         anova(
           do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),

From 44a6c5890db62551c673a5d690464b480d9bcd87 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 11 Jul 2024 15:02:23 +0700
Subject: [PATCH 143/193] add Hmisc dependencies

---
 DESCRIPTION             | 1 +
 man/sstable.baseline.Rd | 7 +++++--
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 7286272..d457144 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -31,6 +31,7 @@ Depends:
     dplyr,
     R (>= 2.10)
 Imports:
+    Hmisc,
     stringi,
     lubridate,
     car,
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
index 5a95c37..1cbe98f 100644
--- a/man/sstable.baseline.Rd
+++ b/man/sstable.baseline.Rd
@@ -11,7 +11,8 @@ sstable.baseline(
   pooledGroup = FALSE,
   keepEmptyGroup = FALSE,
   statistics = "med.IQR",
-  continuous = NA,
+  cont = NULL,
+  cate = NULL,
   fullfreq = TRUE,
   digits = 1,
   test = FALSE,
@@ -45,7 +46,9 @@ If formula is in the form of x+y ~ a|z, the function will summary z with respect
 
 \item{statistics}{a character specifies summary statistics for continuous row variables.}
 
-\item{continuous}{a logical vector specifies whether each row variables is continuous or categorical.}
+\item{cont}{a vector specifies whether each row variables is continuous.}
+
+\item{cate}{a vector specifies whether each row variables is categorical.}
 
 \item{digits}{a number specifies number of significant digits for numeric statistics.}
 

From ea11cbff6a8ccb005476cc6ebfc99b0f5e8204fe Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 11 Jul 2024 16:16:37 +0700
Subject: [PATCH 144/193] remove p for invalid CI

---
 R/sstable.R | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 43c9fea..d8c0451 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1401,11 +1401,13 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
                  ci <- apply(cf, 1,
                              \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
                  )
-                 if (p.compare){
+                 if (is.na(p.val)) diff.ci.p <- paste(diff, '(-)')
+                 else if (p.compare){
                    diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
                  } else {
                    diff.ci.p <- paste(diff, " (", ci, ")", sep = "")
                  }
+                 diff.ci.p
                })
     }
 

From 660687984c545448a370998becc69ffe211dc2e3 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 11 Jul 2024 16:22:25 +0700
Subject: [PATCH 145/193] fix typos

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index d8c0451..b873a80 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1401,7 +1401,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
                  ci <- apply(cf, 1,
                              \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
                  )
-                 if (is.na(p.val)) diff.ci.p <- paste(diff, '(-)')
+                 if (is.na(pval)) diff.ci.p <- paste(diff, '(-)')
                  else if (p.compare){
                    diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
                  } else {

From 87503d35bc1098e4561a5e0c2f6d048842f24614 Mon Sep 17 00:00:00 2001
From: Trinh Dong <trinhdong_0629@outlook.com>
Date: Thu, 11 Jul 2024 16:27:45 +0700
Subject: [PATCH 146/193] fix typos

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index b873a80..962ab64 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1401,7 +1401,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
                  ci <- apply(cf, 1,
                              \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
                  )
-                 if (is.na(pval)) diff.ci.p <- paste(diff, '(-)')
+                 if (is.na(p)) diff.ci.p <- paste(diff, '(-)')
                  else if (p.compare){
                    diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
                  } else {

From 040f88d15b86bc20ffb8d189cbfdae7c07d91812 Mon Sep 17 00:00:00 2001
From: TranHung93 <hungtt@oucru.org>
Date: Fri, 12 Jul 2024 10:39:21 +0700
Subject: [PATCH 147/193] updated conSummary, mycontSummary, sstable.baseline

SStable.baseline: update statistics argument to customise the way, add df argument to call data frame of value
Change contsummary and mycontsummary to adapt to statistics argument updated
---
 R/sstable.R | 476 +++++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 415 insertions(+), 61 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index d315ed0..6d6c187 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -88,32 +88,41 @@ sstable.formula <- function(formula) {
 #'
 #' @return a string displays formatted summary statistics.
 #' @export
-contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mean.sd"), digits = 1, n = TRUE){
-  if (length(statistics) > 1) statistics <- "med.IQR"
-  loc <- formatC(ifelse(statistics == "mean.sd",
-                        mean(x, na.rm = TRUE),
-                        median(x, na.rm = TRUE)), digits = digits, format = "f")
-  dis <- switch(statistics,
-                mean.sd   = formatC(sd(x, na.rm = TRUE), digits = digits, format = "f"),
-                med.IQR   = paste(
-                  formatC(quantile(x, probs = c(0.25, 0.75), na.rm = TRUE), digits = digits, format = "f"),
-                  collapse = ", "),
-                med.90    = paste(
-                  formatC(quantile(x, probs = c(0.05, 0.95), na.rm = TRUE), digits = digits, format = "f"),
-                  collapse = ", "),
-                med.range = paste(
-                  formatC(quantile(x, probs = c(0.00, 1.00), na.rm = TRUE), digits = digits, format = "f"),
-                  collapse = ", "))
-  if (n == TRUE){
-    output <- paste(loc, " (", dis, ") - ", length(na.omit(x)), sep = "")
-    names(output) <- paste(statistics, "- n")
-  } else {
-    output <- paste(loc, " (", dis, ")", sep = "")
-    names(output) <- statistics
+
+contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
+  if (is.null(statistics)) {
+    stop("Please provide a string for 'statistics'")
+  }
+  
+  # Convert the 'statistics' string to lowercase
+  statistics <- tolower(statistics)
+  
+  # Define a list of supported statistics and their corresponding functions
+  stat_list <- list(
+    mean = function(x) round(mean(x, na.rm = TRUE), digits),
+    median = function(x) round(median(x, na.rm = TRUE), digits),
+    sd = function(x) round(sd(x, na.rm = TRUE), digits),
+    q1 = function(x) round(quantile(x, 0.25, na.rm = TRUE), digits),
+    q3 = function(x) round(quantile(x, 0.75, na.rm = TRUE), digits),
+    min = function(x) round(min(x, na.rm = TRUE), digits),
+    max = function(x) round(max(x, na.rm = TRUE), digits)
+  )
+  
+  # Replace statistical names with their calculated values
+  for (stat_name in names(stat_list)) {
+    stat_value <- stat_list[[stat_name]](x)
+    statistics <- gsub(stat_name, stat_value, statistics)
+  }
+  
+  # Include the count if requested
+  if (n) {
+    statistics <- paste0(statistics)
   }
-  return(output)
+  
+  return(statistics)
 }
 
+
 # create baseline table ---------------------------------------------------
 
 #' Create baseline table
@@ -145,15 +154,16 @@ contSummary <- function(x, statistics = c("med.IQR", "med.90", "med.range", "mea
 #' @param footer a vector of strings to be used as footnote of table.
 #' @param flextable a logical value specifies whether output will be a flextable-type table.
 #' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#' @param df a logical values specifies whether output will be a draw dataframe.
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @export
 sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
-                             statistics = "med.IQR", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
+                             statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
                              test = FALSE, pdigits = 3, pcutoff = 0.0001,
                              chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
                              workspace = 1000000, hybrid = FALSE,
-                             footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
+                             footer = NULL, flextable = FALSE, bg = "#F2EFEE", df = FALSE) {
 
   ## get information from formula
   info <- sstable.formula(formula)
@@ -250,17 +260,17 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 
   
   
-  # Loop through the variables in varlist
-  requireNamespace("Hmisc")
   # Initialize an empty vector to store labels or variable names
-  label_list <- vector("character", length(varlist))
+  label_list <- character(length(varlist))
   
   # Loop through the variables in varlist
   for (i in seq_along(varlist)) {
     var_name <- varlist[i]
-    var_label <- Hmisc::label(data[[var_name]])
     
-    # Check if the variable has a label, if so, collect the label, otherwise collect the variable name
+    # Retrieve the variable label if available
+    var_label <- attr(data[[var_name]], "label")
+    
+    # Check if the variable has a label or use the variable name
     if (!is.null(var_label) && var_label != "") {
       label_list[i] <- var_label
     } else {
@@ -285,10 +295,263 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   value_dim <- dim(value)
   value <- apply(value, 2, function(x) ifelse(is.na(x) | x %in% c("NA (NA, NA)", "0/0 (NaN%)"), "-", x))
   dim(value) <- value_dim
+  value <- as.data.frame(value)
+  # ## output - old code, if want to reverse to old code, uncomment this code, remove df argument in main function 
+  #and delete the corresponding code below
+  # ### header
+  # 
+  # gr.lev <- levels(y)
+  # header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
+  # header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
+  # if (test) {
+  #   header1 <- c(header1, "p value")
+  #   header2 <- c(header2, "")
+  # }
+  # 
+  # ### footer
+  # footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
+  # 
+  # #### summary statistics
+  # if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
+  #   footer.con <- paste0(
+  #     paste(statistics, collapse = ", "), 
+  #     " for continuous variable(s)."
+  #   )
+  # }
+  # 
+  # if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
+  #   footer.cat <- "absolute count (%) for categorical variable(s)"
+  # }
+  # 
+  # footer1.after <- if (is.null(footer.con)) {
+  #   paste0(footer.cat, ".")
+  # } else {
+  #   if (is.null(footer.cat)) {
+  #     footer.con
+  #   } else {
+  #     paste0(footer.cat, " and ", footer.con)
+  #   }
+  # }
+  # footer1 <- paste("Summary statistic is", footer1.after)
+  # 
+  # #### test
+  # if (test) {
+  #   footer2.cat <- paste(
+  #     ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), 
+  #     "for categorical variable(s)"
+  #   )
+  #   footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
+  #   footer2.after <- if (is.null(footer.con)) {
+  #     paste0(footer2.cat, ".")
+  #   } else {
+  #     if (is.null(footer.cat)) {
+  #       footer2.con
+  #     } else {
+  #       paste0(footer2.cat, " and ", footer2.con)
+  #     }
+  #   }
+  #   footer2 <- paste("p-values were based on", footer2.after)
+  # }
+  # 
+  # footer <- c(
+  #   "N is number of all patients, n is number of patients with non-missing value.",
+  #   footer1,
+  #   if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
+  #   footer2,
+  #   footer
+  # )
+  # 
+  # 
+  # ### flextable
+  # if (flextable) {
+  #   requireNamespace("flextable")
+  #   requireNamespace("officer")
+  # 
+  #   ## main table
+  #   tab <- flextable::flextable(as.data.frame(value))
+  # 
+  #   ## header
+  #   header1[1] <- header2[1]
+  #   header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
+  #   if (test) header2[length(header1)] <- header1[length(header1)]
+  #   assign("tab",
+  #          eval(parse(text = paste0("flextable::set_header_labels(tab,",
+  #                                   paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
+  #                                   ")"))))
+  #   assign("tab",
+  #          eval(parse(text = paste0("flextable::add_header(tab,",
+  #                                   paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
+  #                                   ", top = FALSE)"))))
+  # 
+  #   tab <- flextable::merge_h(tab, part = "header")
+  #   tab <- flextable::merge_v(tab, part = "header")
+  # 
+  #   ## footer
+  #   for (k in (1:length(footer))) {
+  #     tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
+  #     tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
+  #   }
+  # 
+  #   ## format
+  #   ### width
+  #   tab <- flextable::autofit(tab)
+  #   ### alignment
+  #   tab <- flextable::align(tab, j = 1, align = "left", part = "all")
+  #   ### faces of header
+  #   tab <- flextable::bold(tab, part = "header")
+  #   ### background
+  #   tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
+  #   ### border
+  #   tabbd <- officer::fp_border(color="black", width = 1.5)
+  #   tab <- flextable::border_remove(tab)
+  #   tab <- flextable::hline(tab, border = tabbd, part = "header")
+  #   tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+  #   tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+  # 
+  # } else {
+  #   tab <- list(table = rbind(header1, header2, value),
+  #               footer = footer)
+  #   class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
+  # }
+  # ## output
+  # if (!flextable) class(tab) <- c('ss_baseline','ss_obj')
+
+  
+  # add option to call dataframe before adding header, footer -hungtt
+if (df) { tab <- value} 
+else { tab <- sstable_baseline_final(value = value, formula = formula, data =data, bycol = bycol, pooledGroup = pooledGroup , keepEmptyGroup = keepEmptyGroup,
+                                     statistics = statistics, cont = cont, cate = cate, fullfreq = fullfreq, digits = digits,
+                                     test = test, pdigits = pdigits, pcutoff = pcutoff,
+                                     chisq.test = chisq.test, correct = correct, simulate.p.value = simulate.p.value, B = B,
+                                     workspace = workspace, hybrid = hybrid, footer = footer, flextable = flextable, bg = bg)
+}
 
+return (tab)
+}
+  
+  
+  
+  
+  # function to format data frame to baseline table -hungtt
+sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
+                                   statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
+                                   test = FALSE, pdigits = 3, pcutoff = 0.0001,
+                                   chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
+                                   workspace = 1000000, hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
+  ## get information from formula
+  info <- sstable.formula(formula)
+  
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+  
+  ## get data
+  dat <- model.frame(info$formula0, data = data, na.action = NULL)
+  x <- xlabel <- dat[, info$index$x, drop = FALSE]
+  y <- if (info$index$y > 0) dat[, info$index$y] else NULL
+  z <- if (info$index$z > 0) dat[, info$index$z] else NULL
+  
+  ## y must be categorical variable
+  if (!is.null(y)) {
+    if (all(!c("character", "factor", "logical") %in% class(y)) |
+        (any(c("numeric", "integer") %in% class(y)) & length(unique(na.omit(y))) > 5)) {
+      stop("Column-wise variable must be categorical !!!")
+    }
+    if (is.factor(y)){
+      ### [trinhdhk] 2024-04: reverse level of y for better summary
+      y <- ._lv_rev_(y)
+      if (!keepEmptyGroup) y <- droplevels(y)
+      y <- addNA(y, ifany = TRUE)
+    } else {
+      y <- factor(as.character(y), levels = sort(unique(as.character(y), decreasing = TRUE), na.last = TRUE), exclude = NULL)
+    }
+  } else {
+    y <- factor(rep("Total", nrow(dat)))
+  }
+  
+  #browser()
+  
+  ## determine type of x (argument: cont and cate)
+  varlist <- getvar(formula) #hungtt
+  varlist <- varlist[-length(varlist)] #remove the y name
+  
+  # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
+  varlist_lower <- tolower(varlist)
+  cont_lower <- tolower(cont)
+  cate_lower <- tolower(cate)
+  
+  continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
+  
+  continuous <- sapply(1:ncol(x), function(i) {
+    out <- ifelse(is.na(continuous[i]),
+                  ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
+                           (any(c("numeric", "integer") %in% class(x[, i])) & length(unique(na.omit(x[, i]))) <= 5), FALSE, TRUE),
+                  continuous[i])
+    return(out)
+  })
+  
+  
+  for (i in (1:ncol(x))) {
+    if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
+  }
+  
+  ## if z exists, x must be categorical
+  if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
+  
+  ## if use by-row layout, x must be categorical
+  #browser()
+  if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
+  
+  ## determine type of z
+  if (!is.null(z)) {
+    zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
+      (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
+    # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
+    if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
+  }
+  
+  # browser()
+  ## digits
+  if (length(digits) == 1) {
+    digits <- rep(digits, ncol(x))
+  } else {
+    if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
+  }
+  
+  ## if pooledGroup
+  if (pooledGroup) {
+    x <- rbind(x, x)
+    ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
+    y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
+    z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
+  }
+  # else{
+  #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
+  # }
+  
+  ## get variable name
+  varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
+  
+  
+  
+  # Initialize an empty vector to store labels or variable names
+  label_list <- character(length(varlist))
+  
+  # Loop through the variables in varlist
+  for (i in seq_along(varlist)) {
+    var_name <- varlist[i]
+    
+    # Retrieve the variable label if available
+    var_label <- attr(data[[var_name]], "label")
+    
+    # Check if the variable has a label or use the variable name
+    if (!is.null(var_label) && var_label != "") {
+      label_list[i] <- var_label
+    } else {
+      label_list[i] <- var_name
+    }
+  }
   ## output
   ### header
-
   gr.lev <- levels(y)
   header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
   header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
@@ -296,21 +559,22 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     header1 <- c(header1, "p value")
     header2 <- c(header2, "")
   }
-
+  
   ### footer
   footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
+  
   #### summary statistics
   if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
-    footer.con <- paste0(switch(statistics,
-                                med.IQR = "median (1st and 3rd quartiles)",
-                                med.90  = "median (90% range)",
-                                med.range = "median (range)",
-                                mean.sd = "mean (sd)"),
-                         " for continuous variable(s).")
+    footer.con <- paste0(
+      paste(statistics, collapse = ", "), 
+      " for continuous variable(s)."
+    )
   }
+  
   if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
-    footer.cat <- paste0("absolute count (%) for categorical variable(s)")
+    footer.cat <- "absolute count (%) for categorical variable(s)"
   }
+  
   footer1.after <- if (is.null(footer.con)) {
     paste0(footer.cat, ".")
   } else {
@@ -321,10 +585,13 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     }
   }
   footer1 <- paste("Summary statistic is", footer1.after)
-
+  
   #### test
   if (test) {
-    footer2.cat <- paste(ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), "for categorical variable(s)")
+    footer2.cat <- paste(
+      ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), 
+      "for categorical variable(s)"
+    )
     footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
     footer2.after <- if (is.null(footer.con)) {
       paste0(footer2.cat, ".")
@@ -337,21 +604,23 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     }
     footer2 <- paste("p-values were based on", footer2.after)
   }
-
-  footer <- c("N is number of all patients, n is number of patients with non-missing value.",
-              footer1,
-              if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
-              footer2,
-              footer)
-
+  
+  footer <- c(
+    "N is number of all patients, n is number of patients with non-missing value.",
+    footer1,
+    if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
+    footer2,
+    footer
+  )
+  
   ### flextable
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")
-
+    
     ## main table
     tab <- flextable::flextable(as.data.frame(value))
-
+    
     ## header
     header1[1] <- header2[1]
     header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
@@ -364,16 +633,16 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
            eval(parse(text = paste0("flextable::add_header(tab,",
                                     paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
                                     ", top = FALSE)"))))
-
+    
     tab <- flextable::merge_h(tab, part = "header")
     tab <- flextable::merge_v(tab, part = "header")
-
+    
     ## footer
     for (k in (1:length(footer))) {
       tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
       tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
     }
-
+    
     ## format
     ### width
     tab <- flextable::autofit(tab)
@@ -389,7 +658,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-
+    
   } else {
     tab <- list(table = rbind(header1, header2, value),
                 footer = footer)
@@ -401,31 +670,87 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 }
 
 sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, pooledGroup = FALSE,
-                                  statistics = "med.IQR", continuous = NA, fullfreq = TRUE, test = FALSE,
+                                  statistics = "mean, median (Q1-Q3)", continuous = NA, fullfreq = TRUE, test = FALSE,
                                   digits = 1, pdigits = pdigits, pcutoff = 0.0001, chisq.test = FALSE, correct = FALSE, workspace = 1000000,
                                   hybrid = FALSE, simulate.p.value = FALSE, B = 2000) {
 
-  ## functions
+  # ## functions to make the summary value of different statistics in different rows -hungtt
+  # mycont.summary <- function(x, y, z) {
+  #   ngroup <- length(levels(y))
+  # 
+  #   if (is.null(z)) {
+  #     summarystat.nice <- by(unclass(x), y, contSummary, statistics = statistics, digits = digits, n = FALSE)
+  #     n <- table(y[!is.na(x)])
+  # 
+  #     # Determine the number of values in each element of summarystat.nice
+  #     n_values <- length(summarystat.nice[[1]])
+  # 
+  #     # Create result matrix with appropriate dimensions
+  #     result <- matrix("", nrow = n_values, ncol = 1 + 2 * ngroup)
+  # 
+  # 
+  #     # Fill in the n values and summarystat.nice values
+  #     for (i in 1:ngroup) {
+  #       result[, 2 * i] <- n[i]
+  #       for (j in 1:n_values) {
+  #         result[j, 2 * i + 1] <- summarystat.nice[[i]][j]
+  #       }
+  #     }
+  # 
+  #   } else {
+  #     summarystat.nice <- by(unclass(z), list(x, y), contSummary, statistics = statistics, digits = digits, n = FALSE)
+  #     n <- table(x, y)
+  # 
+  #     # Determine the number of values in each element of summarystat.nice
+  #     n_values <- length(summarystat.nice[[1]])
+  # 
+  #     # Create result matrix with appropriate dimensions
+  #     result <- matrix("", nrow = n_values, ncol = 1 + 2 * ngroup)
+  # 
+  #     # Fill in the first column with labels
+  #     result[, 1] <- paste0("- ", levels(x))
+  # 
+  #     # Fill in the n values and summarystat.nice values
+  #     for (i in 1:ngroup) {
+  #       result[, 2 * i] <- apply(n, 1, sum)[i]
+  #       for (j in 1:n_values) {
+  #         result[j, 2 * i + 1] <- summarystat.nice[[i]][j]
+  #       }
+  #     }
+  #   }
+
   mycont.summary <- function(x, y, z) {
     ngroup <- length(levels(y))
 
     if (is.null(z)) {
       summarystat.nice <- by(unclass(x), y, contSummary, statistics = statistics, digits = digits, n = FALSE)
-      #n <- c(by(x, y, function(x) length(na.omit(x))))
       n <- table(y[!is.na(x)])
 
       result <- matrix("", ncol = ngroup * 2 + 1, nrow = 1)
       result[1, seq(2, ncol(result), by = 2)] <- n
-      result[1, seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
+
+      # Check if summarystat.nice has more than one value per row and flatten it if necessary
+      if (length(summarystat.nice) > 1) {
+        result[1, seq(3, ncol(result), by = 2)] <- unlist(lapply(summarystat.nice, function(x) paste(x, collapse = ", ")))
+      } else {
+        result[1, seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
+      }
 
     } else {
       summarystat.nice <- by(unclass(z), list(x, y), contSummary, statistics = statistics, digits = digits, n = FALSE)
       n <- table(x, y)
+
       result <- matrix("", ncol = ngroup * 2 + 1, nrow = length(levels(x)) + 1)
       result[1, seq(2, ncol(result), by = 2)] <- apply(n, 2, sum)
       result[2:nrow(result), seq(2, ncol(result), by = 2)] <- n
       result[2:nrow(result), 1] <- paste0("- ", levels(x), " (n = ", apply(n, 1, sum), ")")
-      result[2:nrow(result), seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
+
+      # Check if summarystat.nice has more than one value per row and flatten it if necessary
+      if (length(summarystat.nice) > 1) {
+        result[2:nrow(result), seq(3, ncol(result), by = 2)] <- unlist(lapply(summarystat.nice, function(x) paste(x, collapse = ", ")))
+      } else {
+        result[2:nrow(result), seq(3, ncol(result), by = 2)] <- unlist(summarystat.nice)
+      }
     }
 
     if (test == TRUE & ngroup > 1) {
@@ -451,8 +776,35 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
         })
         result <- cbind(result, c("", pval))
       }
-
+      
     }
+  
+    
+    # if (test == TRUE & ngroup > 1) {
+    #   # overall Kruskal-Wallis test for group differences
+    #   if (is.null(z)) {
+    #     m <- 1:(length(x) * (1 - 0.5 * as.numeric(pooledGroup)))
+    #     pval <- tryCatch(format.pval(kruskal.test(x = x[m], g = y[m])$p.value,
+    #                                  eps = pcutoff, digits = pdigits, scientific = FALSE),
+    #                      error = function(c) NA)
+    #     result <- cbind(result, pval)
+    #   } else {
+    #     pval <- sapply(1:length(levels(x)), function(i) {
+    #       q <- which(x == levels(x)[i])
+    #       if (length(q) == 0) {
+    #         out <- NA
+    #       } else {
+    #         m <- q[q %in% 1:(length(z) * (1 - 0.5 * as.numeric(pooledGroup)))]
+    #         out <- tryCatch(format.pval(kruskal.test(x = z[m], g = y[m])$p.value,
+    #                                     eps = pcutoff, digits = pdigits, scientific = FALSE),
+    #                         error = function(c) NA)
+    #       }
+    #       return(out)
+    #     })
+    #     result <- cbind(result, c("", pval))
+    #   }
+    # 
+    # }
     return(result)
   }
 
@@ -569,7 +921,9 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
       mycont.summary(x = x, y = y, z = z)
     }
   }
-
+ 
+ 
+  
   out[1, 1] <- label_list
   return(out)
 }

From 0ee9a9e07c2199fcc498f3bb0184379b575bdb75 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 12:33:38 +0700
Subject: [PATCH 148/193] switch to multivarWald for RMST heterogeneity test

---
 R/sstable.R | 33 ++++++++++++++++++++++++---------
 1 file changed, 24 insertions(+), 9 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 962ab64..feba06d 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1642,16 +1642,28 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
           ia.args$data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
         }
 
-        # browsere)
-        anova(
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
-         test = "Chisq"
-        )[2, "Pr(>Chi)"]
+
+        # Perform multivariate wald test for interaction term
+        tryCatch({
+          fitter <- switch(compare.method,
+                           'rmst' = eventglm::rmeanglm,
+                           'cuminc' = eventglm::cumincglm)
+          ia.fit <-
+            do.call(fitter, append(ia.args, c(formula=ia.model)))
+          main.terms <- colnames(model.matrix(main.model, data=ia.args$data))
+          ia.terms <- coef(ia.fit)
+          test.terms <- which(!names(ia.terms) %in% main.terms)
+          test <- aod::wald.test(vcov(ia.fit), b=ia.terms, Terms=test.terms)
+          test$result$chi2['P']
+        },
+          error=\(e) NA
+        )
+
       }
-      # browser()
 
-    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
+    result[nrow(result), ncol(result)] <-
+      if (is.na(ia.pval)) '-' else
+        format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level
     for (j in 1:length(factor.levels)){
@@ -1703,7 +1715,10 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   footer <- c(
     compare.note,
     paste(compare.stat, "and p value were based on", paste0(compare.name, '.')),
-    "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
+    sprintf(
+      "Test for heterogeneity is an %s test for interaction between treatment effect and each subgroup in the survival model not including other variables.",
+      if (compare.method == 'cox') 'Likelihood-ratio' else 'multivariate Wald'
+    ),
     footer)
 
   # flextable

From 41a075ba0396df2075857564a55d6f5358744bec Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 12:38:44 +0700
Subject: [PATCH 149/193] add dependency on aod

---
 DESCRIPTION         | 3 ++-
 R/ssformat.R        | 4 ++--
 man/rbind.ss_obj.Rd | 6 ++++++
 3 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index d457144..9d5eda2 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -46,7 +46,8 @@ Imports:
     ggplot2,
     survminer,
     ggsurvfit,
-    survival
+    survival,
+    aod
 RoxygenNote: 7.3.2
 Suggests: knitr,
     rmarkdown,
diff --git a/R/ssformat.R b/R/ssformat.R
index 1ce399c..ce08aa0 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -702,7 +702,7 @@ rbind.ss_ae <- function(tbl1, tbl2, footer=NULL){
   out
 }
 
-#' @rdname rbind.ss_tbl
+#' @rdname rbind.ss_obj
 #' @method rbind ss_survcomp
 #' @export
 rbind.ss_survcomp <- function(tbl1, tbl2, footer=NULL){
@@ -714,7 +714,7 @@ rbind.ss_survcomp <- function(tbl1, tbl2, footer=NULL){
   out
 }
 
-#' @rdname rbind.ss_tbl
+#' @rdname rbind.ss_obj
 #' @method rbind ss_baseline
 #' @export
 rbind.ss_baseline <- function(tbl1, tbl2, footer=NULL){
diff --git a/man/rbind.ss_obj.Rd b/man/rbind.ss_obj.Rd
index cbb9b24..1bd56db 100644
--- a/man/rbind.ss_obj.Rd
+++ b/man/rbind.ss_obj.Rd
@@ -3,11 +3,17 @@
 \name{rbind.ss_obj}
 \alias{rbind.ss_obj}
 \alias{rbind.ss_ae}
+\alias{rbind.ss_survcomp}
+\alias{rbind.ss_baseline}
 \title{Row-binding two sstables}
 \usage{
 \method{rbind}{ss_obj}(tbl1, tbl2, footer = NULL, ...)
 
 \method{rbind}{ss_ae}(tbl1, tbl2, footer = NULL)
+
+\method{rbind}{ss_survcomp}(tbl1, tbl2, footer = NULL)
+
+\method{rbind}{ss_baseline}(tbl1, tbl2, footer = NULL)
 }
 \arguments{
 \item{tbl1, tbl2, }{two object of class sstables of the same template. Only export for technical use.}

From 1aa9b792fba8a10fa8e9bea46d4e67501db45a7b Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 15:36:55 +0700
Subject: [PATCH 150/193] no header when length(aetype.var)==1

---
 R/sstable.R | 89 +++++++++++++++++++++++++----------------------------
 1 file changed, 42 insertions(+), 47 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index feba06d..eea246c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -610,50 +610,48 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
 #' @param flextable a logical value specifies whether output will be a flextable-type table.
 #' @param bg a character specifies color of the odd rows in the body of flextable-type table.
 #' @param group.var.priority a vector that specifies which groups will be appear first in the table.
+#' @param print.aetype.header a logical value, whether to print the label of aetype.header.
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @import dplyr
 #' @import tidyr
 #' @export
-sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
+sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
+                       aetype.var, grade.var = NULL,
                        group.var = NULL, group.var.priority = NULL, arm.var, sort.by, digits = 0,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
+                       print.aetype.header = length(aetype.var) > 1,
                        footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
-  # Check if grade.var is not NULL and has any NA values
-  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
-    # Replace NA values with "Grade NA"
-    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
-  }
-  # Check if any aetype.var is NA and replace with "NA"
-  for (var in aetype.var) {
-    if (any(is.na(ae_data[[var]]))) {
-      ae_data[[var]][is.na(ae_data[[var]])] <- "NA"
-    }
-  }
-
   tmp <- match.call()
+  # if more than one aetype.var
+  # perform sstable.ae for each for aetype.var
+  # then do rbind
   if (length(aetype.var) > 1){
+
+    # function to prepare
+    make_tblcall <- function(orig_call, .aetype_var) {
+      new_call <- orig_call
+      new_call$aetype.var <- .aetype_var
+      new_call$flextable <- FALSE
+      new_call$print.aetype.header <- force(orig_call$print.aetype.header)
+      new_call
+    }
     env <- rlang::caller_env()
     n.grade<-length(unique(na.omit(ae_data[, grade.var])))
-    tbl1_call <- tmp
-    tbl1_call$aetype.var <- aetype.var[[1]]
-    tbl1_call$flextable <- FALSE
+    tbl1_call <- make_tblcall(tmp, aetype.var[[1]])
     tbl1 <- eval(tbl1_call, envir = env)
     rownames(tbl1$table)[4+n.grade] = 'section'
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
-               tbl_call <- tmp
-               tbl_call$aetype.var <- .aetype.var
-               tbl_call$flextable <- FALSE
-               # tbl_call$grade.var = NULL
-               z = eval(tbl_call, envir=env)
-               rownames(z$table)[4+n.grade] = 'section'
-               z
+               tbl_call <- make_tblcall(tmp, .aetype.var)
+               sstbl = eval(tbl_call, envir=env)
+               rownames(sstbl$table)[4+n.grade] = 'section'
+               sstbl
              })
     tbl2 <- tbl2p[[1]]
 
@@ -691,6 +689,18 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
+  # Check if grade.var is not NULL and has any NA values - hungtt
+  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
+    # Replace NA values with "Grade NA"
+    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
+  }
+  # Check if any aetype.var is NA and replace with "NA"
+  for (var in aetype.var) {
+    if (any(is.na(ae_data[[var]]))) {
+      ae_data[[var]][is.na(ae_data[[var]])] <- "NA"
+    }
+  }
+
   # strip the tibble class which causes issues - trinhdhk
   ae_data <- as.data.frame(ae_data)
   fullid_data <- as.data.frame(fullid_data)
@@ -1642,28 +1652,16 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
           ia.args$data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
         }
 
-
-        # Perform multivariate wald test for interaction term
-        tryCatch({
-          fitter <- switch(compare.method,
-                           'rmst' = eventglm::rmeanglm,
-                           'cuminc' = eventglm::cumincglm)
-          ia.fit <-
-            do.call(fitter, append(ia.args, c(formula=ia.model)))
-          main.terms <- colnames(model.matrix(main.model, data=ia.args$data))
-          ia.terms <- coef(ia.fit)
-          test.terms <- which(!names(ia.terms) %in% main.terms)
-          test <- aod::wald.test(vcov(ia.fit), b=ia.terms, Terms=test.terms)
-          test$result$chi2['P']
-        },
-          error=\(e) NA
-        )
-
+        # browsere)
+        anova(
+          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
+          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
+         test = "Chisq"
+        )[2, "Pr(>Chi)"]
       }
+      # browser()
 
-    result[nrow(result), ncol(result)] <-
-      if (is.na(ia.pval)) '-' else
-        format.pval(ia.pval, digits = pdigits, eps = pcutoff)
+    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level
     for (j in 1:length(factor.levels)){
@@ -1715,10 +1713,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   footer <- c(
     compare.note,
     paste(compare.stat, "and p value were based on", paste0(compare.name, '.')),
-    sprintf(
-      "Test for heterogeneity is an %s test for interaction between treatment effect and each subgroup in the survival model not including other variables.",
-      if (compare.method == 'cox') 'Likelihood-ratio' else 'multivariate Wald'
-    ),
+    "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
     footer)
 
   # flextable

From 9162c220413b51ec7c8ab73d2f99d85ec826c1bb Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 16:08:56 +0700
Subject: [PATCH 151/193] add ability to add and remove aetype.header

---
 R/sstable.R             | 191 +++++++++++++++++++++-------------------
 man/contSummary.Rd      |   7 +-
 man/sstable.ae.Rd       |   6 ++
 man/sstable.baseline.Rd |   7 +-
 4 files changed, 112 insertions(+), 99 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index ea5cce3..a30940f 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -93,10 +93,10 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
   if (is.null(statistics)) {
     stop("Please provide a string for 'statistics'")
   }
-  
+
   # Convert the 'statistics' string to lowercase
   statistics <- tolower(statistics)
-  
+
   # Define a list of supported statistics and their corresponding functions
   stat_list <- list(
     mean = function(x) round(mean(x, na.rm = TRUE), digits),
@@ -107,18 +107,18 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
     min = function(x) round(min(x, na.rm = TRUE), digits),
     max = function(x) round(max(x, na.rm = TRUE), digits)
   )
-  
+
   # Replace statistical names with their calculated values
   for (stat_name in names(stat_list)) {
     stat_value <- stat_list[[stat_name]](x)
     statistics <- gsub(stat_name, stat_value, statistics)
   }
-  
+
   # Include the count if requested
   if (n) {
     statistics <- paste0(statistics)
   }
-  
+
   return(statistics)
 }
 
@@ -257,18 +257,18 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
-  
-  
+
+
   # Initialize an empty vector to store labels or variable names
   label_list <- character(length(varlist))
-  
+
   # Loop through the variables in varlist
   for (i in seq_along(varlist)) {
     var_name <- varlist[i]
-    
+
     # Retrieve the variable label if available
     var_label <- attr(data[[var_name]], "label")
-    
+
     # Check if the variable has a label or use the variable name
 
     if (!is.null(var_label) && var_label != "") {
@@ -296,10 +296,10 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   value <- apply(value, 2, function(x) ifelse(is.na(x) | x %in% c("NA (NA, NA)", "0/0 (NaN%)"), "-", x))
   dim(value) <- value_dim
   value <- as.data.frame(value)
-  # ## output - old code, if want to reverse to old code, uncomment this code, remove df argument in main function 
+  # ## output - old code, if want to reverse to old code, uncomment this code, remove df argument in main function
   #and delete the corresponding code below
   # ### header
-  # 
+  #
   # gr.lev <- levels(y)
   # header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
   # header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
@@ -307,22 +307,22 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #   header1 <- c(header1, "p value")
   #   header2 <- c(header2, "")
   # }
-  # 
+  #
   # ### footer
   # footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
-  # 
+  #
   # #### summary statistics
   # if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
   #   footer.con <- paste0(
-  #     paste(statistics, collapse = ", "), 
+  #     paste(statistics, collapse = ", "),
   #     " for continuous variable(s)."
   #   )
   # }
-  # 
+  #
   # if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
   #   footer.cat <- "absolute count (%) for categorical variable(s)"
   # }
-  # 
+  #
   # footer1.after <- if (is.null(footer.con)) {
   #   paste0(footer.cat, ".")
   # } else {
@@ -333,11 +333,11 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #   }
   # }
   # footer1 <- paste("Summary statistic is", footer1.after)
-  # 
+  #
   # #### test
   # if (test) {
   #   footer2.cat <- paste(
-  #     ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), 
+  #     ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"),
   #     "for categorical variable(s)"
   #   )
   #   footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
@@ -352,7 +352,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #   }
   #   footer2 <- paste("p-values were based on", footer2.after)
   # }
-  # 
+  #
   # footer <- c(
   #   "N is number of all patients, n is number of patients with non-missing value.",
   #   footer1,
@@ -360,16 +360,16 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #   footer2,
   #   footer
   # )
-  # 
-  # 
+  #
+  #
   # ### flextable
   # if (flextable) {
   #   requireNamespace("flextable")
   #   requireNamespace("officer")
-  # 
+  #
   #   ## main table
   #   tab <- flextable::flextable(as.data.frame(value))
-  # 
+  #
   #   ## header
   #   header1[1] <- header2[1]
   #   header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
@@ -382,16 +382,16 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #          eval(parse(text = paste0("flextable::add_header(tab,",
   #                                   paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
   #                                   ", top = FALSE)"))))
-  # 
+  #
   #   tab <- flextable::merge_h(tab, part = "header")
   #   tab <- flextable::merge_v(tab, part = "header")
-  # 
+  #
   #   ## footer
   #   for (k in (1:length(footer))) {
   #     tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
   #     tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
   #   }
-  # 
+  #
   #   ## format
   #   ### width
   #   tab <- flextable::autofit(tab)
@@ -407,7 +407,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   #   tab <- flextable::hline(tab, border = tabbd, part = "header")
   #   tab <- flextable::hline_top(tab, border = tabbd, part = "all")
   #   tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-  # 
+  #
   # } else {
   #   tab <- list(table = rbind(header1, header2, value),
   #               footer = footer)
@@ -416,9 +416,9 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
   # ## output
   # if (!flextable) class(tab) <- c('ss_baseline','ss_obj')
 
-  
+
   # add option to call dataframe before adding header, footer -hungtt
-if (df) { tab <- value} 
+if (df) { tab <- value}
 else { tab <- sstable_baseline_final(value = value, formula = formula, data =data, bycol = bycol, pooledGroup = pooledGroup , keepEmptyGroup = keepEmptyGroup,
                                      statistics = statistics, cont = cont, cate = cate, fullfreq = fullfreq, digits = digits,
                                      test = test, pdigits = pdigits, pcutoff = pcutoff,
@@ -428,10 +428,10 @@ else { tab <- sstable_baseline_final(value = value, formula = formula, data =dat
 
 return (tab)
 }
-  
-  
-  
-  
+
+
+
+
   # function to format data frame to baseline table -hungtt
 sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
                                    statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
@@ -440,16 +440,16 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
                                    workspace = 1000000, hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
   ## get information from formula
   info <- sstable.formula(formula)
-  
+
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
-  
+
   ## get data
   dat <- model.frame(info$formula0, data = data, na.action = NULL)
   x <- xlabel <- dat[, info$index$x, drop = FALSE]
   y <- if (info$index$y > 0) dat[, info$index$y] else NULL
   z <- if (info$index$z > 0) dat[, info$index$z] else NULL
-  
+
   ## y must be categorical variable
   if (!is.null(y)) {
     if (all(!c("character", "factor", "logical") %in% class(y)) |
@@ -467,20 +467,20 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
   } else {
     y <- factor(rep("Total", nrow(dat)))
   }
-  
+
   #browser()
-  
+
   ## determine type of x (argument: cont and cate)
   varlist <- getvar(formula) #hungtt
   varlist <- varlist[-length(varlist)] #remove the y name
-  
+
   # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
   varlist_lower <- tolower(varlist)
   cont_lower <- tolower(cont)
   cate_lower <- tolower(cate)
-  
+
   continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
-  
+
   continuous <- sapply(1:ncol(x), function(i) {
     out <- ifelse(is.na(continuous[i]),
                   ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
@@ -488,19 +488,19 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
                   continuous[i])
     return(out)
   })
-  
-  
+
+
   for (i in (1:ncol(x))) {
     if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
   }
-  
+
   ## if z exists, x must be categorical
   if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
-  
+
   ## if use by-row layout, x must be categorical
   #browser()
   if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
-  
+
   ## determine type of z
   if (!is.null(z)) {
     zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
@@ -508,7 +508,7 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
     # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
     if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
   }
-  
+
   # browser()
   ## digits
   if (length(digits) == 1) {
@@ -516,7 +516,7 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
   } else {
     if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
   }
-  
+
   ## if pooledGroup
   if (pooledGroup) {
     x <- rbind(x, x)
@@ -527,22 +527,22 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
   # else{
   #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
   # }
-  
+
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
-  
-  
-  
+
+
+
   # Initialize an empty vector to store labels or variable names
   label_list <- character(length(varlist))
-  
+
   # Loop through the variables in varlist
   for (i in seq_along(varlist)) {
     var_name <- varlist[i]
-    
+
     # Retrieve the variable label if available
     var_label <- attr(data[[var_name]], "label")
-    
+
     # Check if the variable has a label or use the variable name
     if (!is.null(var_label) && var_label != "") {
       label_list[i] <- var_label
@@ -559,22 +559,22 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
     header1 <- c(header1, "p value")
     header2 <- c(header2, "")
   }
-  
+
   ### footer
   footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
-  
+
   #### summary statistics
   if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
     footer.con <- paste0(
-      paste(statistics, collapse = ", "), 
+      paste(statistics, collapse = ", "),
       " for continuous variable(s)."
     )
   }
-  
+
   if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
     footer.cat <- "absolute count (%) for categorical variable(s)"
   }
-  
+
   footer1.after <- if (is.null(footer.con)) {
     paste0(footer.cat, ".")
   } else {
@@ -585,11 +585,11 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
     }
   }
   footer1 <- paste("Summary statistic is", footer1.after)
-  
+
   #### test
   if (test) {
     footer2.cat <- paste(
-      ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"), 
+      ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"),
       "for categorical variable(s)"
     )
     footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
@@ -604,7 +604,7 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
     }
     footer2 <- paste("p-values were based on", footer2.after)
   }
-  
+
   footer <- c(
     "N is number of all patients, n is number of patients with non-missing value.",
     footer1,
@@ -612,15 +612,15 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
     footer2,
     footer
   )
-  
+
   ### flextable
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")
-    
+
     ## main table
     tab <- flextable::flextable(as.data.frame(value))
-    
+
     ## header
     header1[1] <- header2[1]
     header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
@@ -633,16 +633,16 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
            eval(parse(text = paste0("flextable::add_header(tab,",
                                     paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
                                     ", top = FALSE)"))))
-    
+
     tab <- flextable::merge_h(tab, part = "header")
     tab <- flextable::merge_v(tab, part = "header")
-    
+
     ## footer
     for (k in (1:length(footer))) {
       tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
       tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
     }
-    
+
     ## format
     ### width
     tab <- flextable::autofit(tab)
@@ -658,7 +658,7 @@ sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGro
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    
+
   } else {
     tab <- list(table = rbind(header1, header2, value),
                 footer = footer)
@@ -677,18 +677,18 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
   # ## functions to make the summary value of different statistics in different rows -hungtt
   # mycont.summary <- function(x, y, z) {
   #   ngroup <- length(levels(y))
-  # 
+  #
   #   if (is.null(z)) {
   #     summarystat.nice <- by(unclass(x), y, contSummary, statistics = statistics, digits = digits, n = FALSE)
   #     n <- table(y[!is.na(x)])
-  # 
+  #
   #     # Determine the number of values in each element of summarystat.nice
   #     n_values <- length(summarystat.nice[[1]])
-  # 
+  #
   #     # Create result matrix with appropriate dimensions
   #     result <- matrix("", nrow = n_values, ncol = 1 + 2 * ngroup)
-  # 
-  # 
+  #
+  #
   #     # Fill in the n values and summarystat.nice values
   #     for (i in 1:ngroup) {
   #       result[, 2 * i] <- n[i]
@@ -696,20 +696,20 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
   #         result[j, 2 * i + 1] <- summarystat.nice[[i]][j]
   #       }
   #     }
-  # 
+  #
   #   } else {
   #     summarystat.nice <- by(unclass(z), list(x, y), contSummary, statistics = statistics, digits = digits, n = FALSE)
   #     n <- table(x, y)
-  # 
+  #
   #     # Determine the number of values in each element of summarystat.nice
   #     n_values <- length(summarystat.nice[[1]])
-  # 
+  #
   #     # Create result matrix with appropriate dimensions
   #     result <- matrix("", nrow = n_values, ncol = 1 + 2 * ngroup)
-  # 
+  #
   #     # Fill in the first column with labels
   #     result[, 1] <- paste0("- ", levels(x))
-  # 
+  #
   #     # Fill in the n values and summarystat.nice values
   #     for (i in 1:ngroup) {
   #       result[, 2 * i] <- apply(n, 1, sum)[i]
@@ -776,10 +776,10 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
         })
         result <- cbind(result, c("", pval))
       }
-      
+
     }
-  
-    
+
+
     # if (test == TRUE & ngroup > 1) {
     #   # overall Kruskal-Wallis test for group differences
     #   if (is.null(z)) {
@@ -803,7 +803,7 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
     #     })
     #     result <- cbind(result, c("", pval))
     #   }
-    # 
+    #
     # }
     return(result)
   }
@@ -921,9 +921,9 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
       mycont.summary(x = x, y = y, z = z)
     }
   }
- 
- 
-  
+
+
+
   out[1, 1] <- label_list
   return(out)
 }
@@ -965,6 +965,7 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
 #' @param bg a character specifies color of the odd rows in the body of flextable-type table.
 #' @param group.var.priority a vector that specifies which groups will be appear first in the table.
 #' @param print.aetype.header a logical value, whether to print the label of aetype.header.
+#' @param na.text [`(Missing)`] in-placed text for missing AE
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @import dplyr
@@ -976,11 +977,13 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
                        print.aetype.header = length(aetype.var) > 1,
+                       na.text = '(Missing)',
                        footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
   tmp <- match.call()
+
   # if more than one aetype.var
   # perform sstable.ae for each for aetype.var
   # then do rbind
@@ -1051,7 +1054,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Check if any aetype.var is NA and replace with "NA"
   for (var in aetype.var) {
     if (any(is.na(ae_data[[var]]))) {
-      ae_data[[var]][is.na(ae_data[[var]])] <- "NA"
+      if (is.factor(ae_data[[var]]))
+          levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
+
+      ae_data[[var]][is.na(ae_data[[var]])] <- na.text
     }
   }
 
@@ -1079,10 +1085,13 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
 
   replace_with_var_names <- function(df, var, aetype_var) {
   # Identify rows where aetype_var is not "NA"
-  not_na_rows <- df[[aetype_var]] != "NA"
+  not_na_rows <- df[[aetype_var]] != na.text
 
+  df[[aetype_var]] <- as.character(df[[aetype_var]])
   # Replace values with variable names or labels only where not "NA"
-  if (!is.null(attr(df[[var]], "label"))) {
+  if (!is.null(names(aetype_var))){
+    df[[aetype_var]][not_na_rows] <- names(aetype_var)
+  } else if (!is.null(attr(df[[var]], "label"))) {
     df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
   } else {
     df[[aetype_var]][not_na_rows] <- var  # Fallback to default label
diff --git a/man/contSummary.Rd b/man/contSummary.Rd
index 0312f60..3e52ee3 100644
--- a/man/contSummary.Rd
+++ b/man/contSummary.Rd
@@ -4,12 +4,7 @@
 \alias{contSummary}
 \title{Calculate summary statistics for continuous variable}
 \usage{
-contSummary(
-  x,
-  statistics = c("med.IQR", "med.90", "med.range", "mean.sd"),
-  digits = 1,
-  n = TRUE
-)
+contSummary(x, statistics = NULL, digits = 1, n = TRUE)
 }
 \arguments{
 \item{x}{a numeric vector to be summarised.}
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index 8f1d905..a4b97b3 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -25,6 +25,8 @@ sstable.ae(
   B = 2000,
   workspace = 1e+06,
   hybrid = FALSE,
+  print.aetype.header = length(aetype.var) > 1,
+  na.text = "(Missing)",
   footer = NULL,
   flextable = TRUE,
   bg = "#F2EFEE"
@@ -76,6 +78,10 @@ Be aware that even when chisq.test==TRUE, if expected values are < 1, the later
 
 \item{hybrid}{a parameter for fisher.test().}
 
+\item{print.aetype.header}{a logical value, whether to print the label of aetype.header.}
+
+\item{na.text}{[`(Missing)`] in-placed text for missing AE}
+
 \item{footer}{a vector of strings to be used as footnote of table.}
 
 \item{flextable}{a logical value specifies whether output will be a flextable-type table.}
diff --git a/man/sstable.baseline.Rd b/man/sstable.baseline.Rd
index 1cbe98f..b6414c6 100644
--- a/man/sstable.baseline.Rd
+++ b/man/sstable.baseline.Rd
@@ -10,7 +10,7 @@ sstable.baseline(
   bycol = TRUE,
   pooledGroup = FALSE,
   keepEmptyGroup = FALSE,
-  statistics = "med.IQR",
+  statistics = "mean, median (Q1-Q3)",
   cont = NULL,
   cate = NULL,
   fullfreq = TRUE,
@@ -26,7 +26,8 @@ sstable.baseline(
   hybrid = FALSE,
   footer = NULL,
   flextable = FALSE,
-  bg = "#F2EFEE"
+  bg = "#F2EFEE",
+  df = FALSE
 )
 }
 \arguments{
@@ -75,6 +76,8 @@ If formula is in the form of x+y ~ a|z, the function will summary z with respect
 \item{flextable}{a logical value specifies whether output will be a flextable-type table.}
 
 \item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+
+\item{df}{a logical values specifies whether output will be a draw dataframe.}
 }
 \value{
 a flextable-type table or a list with values/headers/footers

From fb07768c79baa32adb4dea356b7750675ea22447 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 16:17:32 +0700
Subject: [PATCH 152/193] fix bug aetype.header

---
 R/sstable.R | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index a30940f..cbfa338 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1106,7 +1106,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Example usage with ae_any data frame mutation
   ae_any <- ae_data  # Assuming ae_data is your original data frame
 
-  mutated_data <- replace_with_var_names(ae_any, aetype.var, aetype.var)
+  mutated_data <- if(print.aetype.header)
+    replace_with_var_names(ae_any, aetype.var, aetype.var) else ae_any
   ae_any[, aetype.var] <- "Any selected adverse event"
   # Combine original and mutated data (assuming ae_data and ae_any exist)
   ae <- rbind(ae_data, ae_any, mutated_data)
@@ -1133,7 +1134,9 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
 
   # Check if aetype.var has a label attribute
-  if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
+  if (!is.null(names(aetype_var))){
+    aetype.var.label <- names(aetype_var)
+  } else if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
     aetype.var.label <- attr(ae_data[[aetype.var]], "label")
   } else {
     aetype.var.label <- aetype.var
@@ -1143,7 +1146,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Construct aetype_lev with labels where available
   aetype_lev <- c("Any selected adverse event",
                   if (!is.null(grade.var)) paste("-", grade2),
-                  aetype.var.label,
+                  if (print.aetype.header) aetype.var.label,
                   aetype_lev.raw)
 
   ## add randomized arm to AE

From 34ee65055b263c16c0075288e6b91a2e2096ef2d Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 16:34:15 +0700
Subject: [PATCH 153/193] fix typos

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index cbfa338..a621b4e 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1134,8 +1134,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
 
   # Check if aetype.var has a label attribute
-  if (!is.null(names(aetype_var))){
-    aetype.var.label <- names(aetype_var)
+  if (!is.null(names(aetype.var))){
+    aetype.var.label <- names(aetype.var)
   } else if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
     aetype.var.label <- attr(ae_data[[aetype.var]], "label")
   } else {

From 0ffc8b6b689d5a5c48fb1b111bde7d8bfec6c63e Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 17:58:20 +0700
Subject: [PATCH 154/193] recover of multivariate Wald test

---
 R/sstable.R | 30 +++++++++++++++++++++++-------
 1 file changed, 23 insertions(+), 7 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index a621b4e..b9784b8 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -2019,15 +2019,28 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         }
 
         # browsere)
-        anova(
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
-         test = "Chisq"
-        )[2, "Pr(>Chi)"]
+        # Perform multivariate wald test for interaction term
+        tryCatch({
+          fitter <- switch(compare.method,
+                           'rmst' = eventglm::rmeanglm,
+                           'cuminc' = eventglm::cumincglm)
+          ia.fit <-
+            do.call(fitter, append(ia.args, c(formula=ia.model)))
+          main.terms <- colnames(model.matrix(main.model, data=ia.args$data))
+          ia.terms <- coef(ia.fit)
+          test.terms <- which(!names(ia.terms) %in% main.terms)
+          test <- aod::wald.test(vcov(ia.fit), b=ia.terms, Terms=test.terms)
+          test$result$chi2['P']
+        },
+        error=\(e) NA
+        )
+
       }
       # browser()
 
-    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
+    result[nrow(result), ncol(result)] <-
+      if (is.na(ia.pval)) '-' else
+        format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level
     for (j in 1:length(factor.levels)){
@@ -2079,7 +2092,10 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   footer <- c(
     compare.note,
     paste(compare.stat, "and p value were based on", paste0(compare.name, '.')),
-    "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
+    sprintf(
+      "Test for heterogeneity is an %s test for interaction between treatment effect and each subgroup in the survival model not including other variables.",
+      if (compare.method == 'cox') 'Likelihood-ratio' else 'multivariate Wald'
+    ),
     footer)
 
   # flextable

From 1485b6e9a8008983b70b0fe879abc67d4074714b Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 18:45:54 +0700
Subject: [PATCH 155/193] improve survcomp

---
 R/sstable.R                      | 14 ++++++++++++--
 man/sstable.survcomp.subgroup.Rd |  6 +++++-
 2 files changed, 17 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index b9784b8..405eff4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1871,6 +1871,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @description A function to summarize results for a survival model by treatment arm (variable "arm") and subgroup.
 #'
 #' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
+#' @param overall.model an optional one-sided formula for additional terms for overall population only
 #' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
 #' @param data a data frame to fit the survival model.
 #' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
@@ -1901,11 +1902,12 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @param footer a [\code{NULL}] vector of strings to be used as footnote of table.
 #' @param flextable [\code{TRUE}] a logical value specifies whether output will be a flextable-type table.
 #' @param bg [\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.
+#' @param overall [\code{TRUE}] where to print overall model
 #' @param ... arguments that are passed to sstable.survcomp
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #'
-#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+#' @author This function was originally written by Marcel Wolbers. Trinh Dong and Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
 sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
@@ -1941,7 +1943,14 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-  result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
+  if (!missing(overall.model))
+    overall.model <- update(base.model,
+                            as.formula('. ~ . +',
+                                       paste(
+                                         paste0('`',formula.tools::rhs.vars(overall.model), '`'),
+                                         collapse='+')))
+  else overall.model <- base.model
+  result <- sstable.survcomp(model = overall.model, data = data, time=time, reference.arm=reference.arm,
                              medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,
                              p.compare = p.compare,
@@ -2099,6 +2108,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
     footer)
 
   # flextable
+  if (!overall) result <- result[-3,]
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index 77dd801..7a99aef 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -54,6 +54,8 @@ If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 
 \item{...}{arguments that are passed to sstable.survcomp}
 
+\item{overall.model}{an optional one-sided formula for additional terms for overall population only}
+
 \item{add.risk}{[\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
 
 \item{compare.args:}{a list of additional args for compare.methods,
@@ -69,6 +71,8 @@ If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
  For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
  `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.}
+
+\item{overall}{[\code{TRUE}] where to print overall model}
 }
 \value{
 a flextable-type table or a list with values/headers/footers
@@ -77,5 +81,5 @@ a flextable-type table or a list with values/headers/footers
 A function to summarize results for a survival model by treatment arm (variable "arm") and subgroup.
 }
 \author{
-This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+This function was originally written by Marcel Wolbers. Trinh Dong and Lam Phung Khanh did some modification.
 }

From 2e728bc144ee55ce2188ce2441bd1dc377474e19 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 18:51:26 +0700
Subject: [PATCH 156/193] add overall.model

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 405eff4..275d77c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1910,7 +1910,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @author This function was originally written by Marcel Wolbers. Trinh Dong and Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
-sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
+sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model, data,
                                       time = Inf,
                                       reference.arm = c('B', 'A'),
                                       compare.method = c('cox', 'rmst', 'cuminc'),

From e25091ffb2a4fa4434048d124ed3d1addfa2cb57 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 19:01:35 +0700
Subject: [PATCH 157/193] fix typos

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 275d77c..81e4da5 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1916,7 +1916,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
                                       compare.method = c('cox', 'rmst', 'cuminc'),
                                       compare.args = list(),
                                       p.compare = TRUE,
-                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
+                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", overall = TRUE,...){
 
 
   requireNamespace("survival")

From 6d1293820a9348181b9842419398583f965352fc Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 19:10:14 +0700
Subject: [PATCH 158/193] fix typos

---
 R/sstable.R | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 81e4da5..527b309 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1945,10 +1945,9 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
   # result in entire population
   if (!missing(overall.model))
     overall.model <- update(base.model,
-                            as.formula('. ~ . +',
-                                       paste(
-                                         paste0('`',formula.tools::rhs.vars(overall.model), '`'),
-                                         collapse='+')))
+                            as.formula(paste('. ~ . +',
+                                             paste0('`',formula.tools::rhs.vars(overall.model), '`'),
+                                             collapse='+')))
   else overall.model <- base.model
   result <- sstable.survcomp(model = overall.model, data = data, time=time, reference.arm=reference.arm,
                              medsum = FALSE, digits = digits,

From 3a547da767e1548301f681c131f86f827a717ea5 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 19:23:25 +0700
Subject: [PATCH 159/193] temporary fix the overall model

---
 R/sstable.R | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 527b309..e50f576 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1943,12 +1943,13 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-  if (!missing(overall.model))
+  if (!missing(overall.model)){
+    added.terms <- terms(overall.model) |> attr('term.labels')
     overall.model <- update(base.model,
                             as.formula(paste('. ~ . +',
-                                             paste0('`',formula.tools::rhs.vars(overall.model), '`'),
+                                             added.terms,
                                              collapse='+')))
-  else overall.model <- base.model
+  } else overall.model <- base.model
   result <- sstable.survcomp(model = overall.model, data = data, time=time, reference.arm=reference.arm,
                              medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,

From da074eed056438dd2858379888d27cf5dfe3927d Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 19:24:13 +0700
Subject: [PATCH 160/193] temporary fix overall.model.

---
 R/sstable.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index e50f576..5d4052c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1947,8 +1947,8 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
     added.terms <- terms(overall.model) |> attr('term.labels')
     overall.model <- update(base.model,
                             as.formula(paste('. ~ . +',
-                                             added.terms,
-                                             collapse='+')))
+                                             paste(added.terms,
+                                             collapse='+'))))
   } else overall.model <- base.model
   result <- sstable.survcomp(model = overall.model, data = data, time=time, reference.arm=reference.arm,
                              medsum = FALSE, digits = digits,

From 45e18b4a6af6bfb43cbde2538cd53698cffb05f3 Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Fri, 12 Jul 2024 20:35:25 +0700
Subject: [PATCH 161/193] Update sstable.R

---
 R/sstable.R | 513 ++++++++++++++++++++++++++++------------------------
 1 file changed, 273 insertions(+), 240 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index a621b4e..d3d9ae0 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -122,6 +122,278 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
   return(statistics)
 }
 
+# create baseline table ---------------------------------------------------
+
+#' Create baseline table
+#'
+#' @description A function to create a simple summary baseline table.
+#'
+#' @param formula a formula specifies variables for rows, variable for column and third-dimension variable.
+#'
+#' If formula is in the form of x+y ~ a, the function will summary x and y with respects to each value of a
+#'
+#' If formula is in the form of x+y ~ a|z, the function will summary z with respects to each value of {a,x} and {a, y}
+#' @param data a data frame to derive baseline table from.
+#' @param bycol a logical value specifies whether the summary will be by column or by row.
+#' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
+#' @param keepEmptyGroup a logical value specifying whether should keep empty groups
+#' @param statistics a character specifies summary statistics for continuous row variables.
+#' @param cont a vector specifies whether each row variables is continuous.
+#' @param cate a vector specifies whether each row variables is categorical.
+#' @param digits a number specifies number of significant digits for numeric statistics.
+#' @param test a logical value specifies whether a statistical test will be performed to compare between treatment arms.
+#' @param pdigits a number specifies number of significant digits for p value.
+#' @param pcutoff a number specifies threshold value of p value to be displayed as "< pcutoff".
+#' @param chisq.test a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.
+#' @param correct a parameter for chisq.test().
+#' @param simulate.p.value a parameter for chisq.test() and fisher.test().
+#' @param B a parameter for chisq.test() and fisher.test().
+#' @param workspace a parameter for fisher.test().
+#' @param hybrid a parameter for fisher.test().
+#' @param footer a vector of strings to be used as footnote of table.
+#' @param flextable a logical value specifies whether output will be a flextable-type table.
+#' @param bg a character specifies color of the odd rows in the body of flextable-type table.
+#' @param df a logical values specifies whether output will be a draw dataframe.
+#'
+#' @return a flextable-type table or a list with values/headers/footers
+#' @export
+# function to format data frame to baseline table -hungtt
+sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
+                                   statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
+                                   test = FALSE, pdigits = 3, pcutoff = 0.0001,
+                                   chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
+                                   workspace = 1000000, hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
+  ## get information from formula
+  info <- sstable.formula(formula)
+  
+  ## strip the tibble class which causes issue - trinhdhk
+  data <- as.data.frame(data)
+  
+  ## get data
+  dat <- model.frame(info$formula0, data = data, na.action = NULL)
+  x <- xlabel <- dat[, info$index$x, drop = FALSE]
+  y <- if (info$index$y > 0) dat[, info$index$y] else NULL
+  z <- if (info$index$z > 0) dat[, info$index$z] else NULL
+  
+  ## y must be categorical variable
+  if (!is.null(y)) {
+    if (all(!c("character", "factor", "logical") %in% class(y)) |
+        (any(c("numeric", "integer") %in% class(y)) & length(unique(na.omit(y))) > 5)) {
+      stop("Column-wise variable must be categorical !!!")
+    }
+    if (is.factor(y)){
+      ### [trinhdhk] 2024-04: reverse level of y for better summary
+      y <- ._lv_rev_(y)
+      if (!keepEmptyGroup) y <- droplevels(y)
+      y <- addNA(y, ifany = TRUE)
+    } else {
+      y <- factor(as.character(y), levels = sort(unique(as.character(y), decreasing = TRUE), na.last = TRUE), exclude = NULL)
+    }
+  } else {
+    y <- factor(rep("Total", nrow(dat)))
+  }
+  
+  #browser()
+  
+  ## determine type of x (argument: cont and cate)
+  varlist <- getvar(formula) #hungtt
+  varlist <- varlist[-length(varlist)] #remove the y name
+  
+  # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
+  varlist_lower <- tolower(varlist)
+  cont_lower <- tolower(cont)
+  cate_lower <- tolower(cate)
+  
+  continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
+  
+  continuous <- sapply(1:ncol(x), function(i) {
+    out <- ifelse(is.na(continuous[i]),
+                  ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
+                           (any(c("numeric", "integer") %in% class(x[, i])) & length(unique(na.omit(x[, i]))) <= 5), FALSE, TRUE),
+                  continuous[i])
+    return(out)
+  })
+  
+  
+  for (i in (1:ncol(x))) {
+    if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
+  }
+  
+  ## if z exists, x must be categorical
+  if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
+  
+  ## if use by-row layout, x must be categorical
+  #browser()
+  if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
+  
+  ## determine type of z
+  if (!is.null(z)) {
+    zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
+      (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
+    # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
+    if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
+  }
+  
+  # browser()
+  ## digits
+  if (length(digits) == 1) {
+    digits <- rep(digits, ncol(x))
+  } else {
+    if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
+  }
+  
+  ## if pooledGroup
+  if (pooledGroup) {
+    x <- rbind(x, x)
+    ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
+    y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
+    z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
+  }
+  # else{
+  #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
+  # }
+  
+  ## get variable name
+  varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
+  
+  
+  
+  # Initialize an empty vector to store labels or variable names
+  label_list <- character(length(varlist))
+  
+  # Loop through the variables in varlist
+  for (i in seq_along(varlist)) {
+    var_name <- varlist[i]
+    
+    # Retrieve the variable label if available
+    var_label <- attr(data[[var_name]], "label")
+    
+    # Check if the variable has a label or use the variable name
+    if (!is.null(var_label) && var_label != "") {
+      label_list[i] <- var_label
+    } else {
+      label_list[i] <- var_name
+    }
+  }
+  ## output
+  ### header
+  gr.lev <- levels(y)
+  header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
+  header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
+  if (test) {
+    header1 <- c(header1, "p value")
+    header2 <- c(header2, "")
+  }
+  
+  ### footer
+  footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
+  
+  #### summary statistics
+  if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
+    footer.con <- paste0(
+      paste(statistics, collapse = ", "),
+      " for continuous variable(s)."
+    )
+  }
+  
+  if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
+    footer.cat <- "absolute count (%) for categorical variable(s)"
+  }
+  
+  footer1.after <- if (is.null(footer.con)) {
+    paste0(footer.cat, ".")
+  } else {
+    if (is.null(footer.cat)) {
+      footer.con
+    } else {
+      paste0(footer.cat, " and ", footer.con)
+    }
+  }
+  footer1 <- paste("Summary statistic is", footer1.after)
+  
+  #### test
+  if (test) {
+    footer2.cat <- paste(
+      ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"),
+      "for categorical variable(s)"
+    )
+    footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
+    footer2.after <- if (is.null(footer.con)) {
+      paste0(footer2.cat, ".")
+    } else {
+      if (is.null(footer.cat)) {
+        footer2.con
+      } else {
+        paste0(footer2.cat, " and ", footer2.con)
+      }
+    }
+    footer2 <- paste("p-values were based on", footer2.after)
+  }
+  
+  footer <- c(
+    "N is number of all patients, n is number of patients with non-missing value.",
+    footer1,
+    if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
+    footer2,
+    footer
+  )
+  
+  ### flextable
+  if (flextable) {
+    requireNamespace("flextable")
+    requireNamespace("officer")
+    
+    ## main table
+    tab <- flextable::flextable(as.data.frame(value))
+    
+    ## header
+    header1[1] <- header2[1]
+    header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
+    if (test) header2[length(header1)] <- header1[length(header1)]
+    assign("tab",
+           eval(parse(text = paste0("flextable::set_header_labels(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
+                                    ")"))))
+    assign("tab",
+           eval(parse(text = paste0("flextable::add_header(tab,",
+                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
+                                    ", top = FALSE)"))))
+    
+    tab <- flextable::merge_h(tab, part = "header")
+    tab <- flextable::merge_v(tab, part = "header")
+    
+    ## footer
+    for (k in (1:length(footer))) {
+      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
+      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
+    }
+    
+    ## format
+    ### width
+    tab <- flextable::autofit(tab)
+    ### alignment
+    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
+    ### faces of header
+    tab <- flextable::bold(tab, part = "header")
+    ### background
+    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
+    ### border
+    tabbd <- officer::fp_border(color="black", width = 1.5)
+    tab <- flextable::border_remove(tab)
+    tab <- flextable::hline(tab, border = tabbd, part = "header")
+    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
+    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
+    
+  } else {
+    tab <- list(table = rbind(header1, header2, value),
+                footer = footer)
+    class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
+  }
+  ## output
+  if (!flextable) class(tab) <- c('ss_baseline','ss_obj')
+  return(tab)
+}
+
 
 # create baseline table ---------------------------------------------------
 
@@ -419,7 +691,7 @@ sstable.baseline <- function(formula, data, bycol = TRUE, pooledGroup = FALSE, k
 
   # add option to call dataframe before adding header, footer -hungtt
 if (df) { tab <- value}
-else { tab <- sstable_baseline_final(value = value, formula = formula, data =data, bycol = bycol, pooledGroup = pooledGroup , keepEmptyGroup = keepEmptyGroup,
+else { tab <- sstable.baseline.edit(value = value, formula = formula, data =data, bycol = bycol, pooledGroup = pooledGroup , keepEmptyGroup = keepEmptyGroup,
                                      statistics = statistics, cont = cont, cate = cate, fullfreq = fullfreq, digits = digits,
                                      test = test, pdigits = pdigits, pcutoff = pcutoff,
                                      chisq.test = chisq.test, correct = correct, simulate.p.value = simulate.p.value, B = B,
@@ -430,245 +702,6 @@ return (tab)
 }
 
 
-
-
-  # function to format data frame to baseline table -hungtt
-sstable_baseline_final <- function(value, formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
-                                   statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
-                                   test = FALSE, pdigits = 3, pcutoff = 0.0001,
-                                   chisq.test = FALSE, correct = FALSE, simulate.p.value = FALSE, B = 2000,
-                                   workspace = 1000000, hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
-  ## get information from formula
-  info <- sstable.formula(formula)
-
-  ## strip the tibble class which causes issue - trinhdhk
-  data <- as.data.frame(data)
-
-  ## get data
-  dat <- model.frame(info$formula0, data = data, na.action = NULL)
-  x <- xlabel <- dat[, info$index$x, drop = FALSE]
-  y <- if (info$index$y > 0) dat[, info$index$y] else NULL
-  z <- if (info$index$z > 0) dat[, info$index$z] else NULL
-
-  ## y must be categorical variable
-  if (!is.null(y)) {
-    if (all(!c("character", "factor", "logical") %in% class(y)) |
-        (any(c("numeric", "integer") %in% class(y)) & length(unique(na.omit(y))) > 5)) {
-      stop("Column-wise variable must be categorical !!!")
-    }
-    if (is.factor(y)){
-      ### [trinhdhk] 2024-04: reverse level of y for better summary
-      y <- ._lv_rev_(y)
-      if (!keepEmptyGroup) y <- droplevels(y)
-      y <- addNA(y, ifany = TRUE)
-    } else {
-      y <- factor(as.character(y), levels = sort(unique(as.character(y), decreasing = TRUE), na.last = TRUE), exclude = NULL)
-    }
-  } else {
-    y <- factor(rep("Total", nrow(dat)))
-  }
-
-  #browser()
-
-  ## determine type of x (argument: cont and cate)
-  varlist <- getvar(formula) #hungtt
-  varlist <- varlist[-length(varlist)] #remove the y name
-
-  # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
-  varlist_lower <- tolower(varlist)
-  cont_lower <- tolower(cont)
-  cate_lower <- tolower(cate)
-
-  continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
-
-  continuous <- sapply(1:ncol(x), function(i) {
-    out <- ifelse(is.na(continuous[i]),
-                  ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
-                           (any(c("numeric", "integer") %in% class(x[, i])) & length(unique(na.omit(x[, i]))) <= 5), FALSE, TRUE),
-                  continuous[i])
-    return(out)
-  })
-
-
-  for (i in (1:ncol(x))) {
-    if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
-  }
-
-  ## if z exists, x must be categorical
-  if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
-
-  ## if use by-row layout, x must be categorical
-  #browser()
-  if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
-
-  ## determine type of z
-  if (!is.null(z)) {
-    zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
-      (any(c("numeric", "integer") %in% class(unclass(z))) & length(unique(na.omit(z))) <= 5)
-    # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
-    if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
-  }
-
-  # browser()
-  ## digits
-  if (length(digits) == 1) {
-    digits <- rep(digits, ncol(x))
-  } else {
-    if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
-  }
-
-  ## if pooledGroup
-  if (pooledGroup) {
-    x <- rbind(x, x)
-    ypool <- ifelse("total" %in% tolower(levels(y)), "pooledGroup", "Total")
-    y <- factor(c(as.character(y), rep(ypool, nrow(dat))), levels = c(levels(y), ypool), exclude = NULL)
-    z <- if (!is.null(z)) factor(c(z, z), levels = unique(na.omit(z))) else NULL
-  }
-  # else{
-  #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
-  # }
-
-  ## get variable name
-  varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
-
-
-
-  # Initialize an empty vector to store labels or variable names
-  label_list <- character(length(varlist))
-
-  # Loop through the variables in varlist
-  for (i in seq_along(varlist)) {
-    var_name <- varlist[i]
-
-    # Retrieve the variable label if available
-    var_label <- attr(data[[var_name]], "label")
-
-    # Check if the variable has a label or use the variable name
-    if (!is.null(var_label) && var_label != "") {
-      label_list[i] <- var_label
-    } else {
-      label_list[i] <- var_name
-    }
-  }
-  ## output
-  ### header
-  gr.lev <- levels(y)
-  header1 <- c("", c(rbind(rep("", length(gr.lev)), paste(gr.lev, " (N=", table(y), ")", sep = ""))))
-  header2 <- c("Characteristic", rep(c("n", "Summary statistic"), length(gr.lev)))
-  if (test) {
-    header1 <- c(header1, "p value")
-    header2 <- c(header2, "")
-  }
-
-  ### footer
-  footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
-
-  #### summary statistics
-  if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
-    footer.con <- paste0(
-      paste(statistics, collapse = ", "),
-      " for continuous variable(s)."
-    )
-  }
-
-  if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
-    footer.cat <- "absolute count (%) for categorical variable(s)"
-  }
-
-  footer1.after <- if (is.null(footer.con)) {
-    paste0(footer.cat, ".")
-  } else {
-    if (is.null(footer.cat)) {
-      footer.con
-    } else {
-      paste0(footer.cat, " and ", footer.con)
-    }
-  }
-  footer1 <- paste("Summary statistic is", footer1.after)
-
-  #### test
-  if (test) {
-    footer2.cat <- paste(
-      ifelse(chisq.test == FALSE, "Fisher's exact test", "Chi-squared test"),
-      "for categorical variable(s)"
-    )
-    footer2.con <- "Kruskal-Wallis/Mann-Whitney U-test for continuous variable(s)."
-    footer2.after <- if (is.null(footer.con)) {
-      paste0(footer2.cat, ".")
-    } else {
-      if (is.null(footer.cat)) {
-        footer2.con
-      } else {
-        paste0(footer2.cat, " and ", footer2.con)
-      }
-    }
-    footer2 <- paste("p-values were based on", footer2.after)
-  }
-
-  footer <- c(
-    "N is number of all patients, n is number of patients with non-missing value.",
-    footer1,
-    if (any(value == "-")) {"- : value cannot be estimated."} else NULL,
-    footer2,
-    footer
-  )
-
-  ### flextable
-  if (flextable) {
-    requireNamespace("flextable")
-    requireNamespace("officer")
-
-    ## main table
-    tab <- flextable::flextable(as.data.frame(value))
-
-    ## header
-    header1[1] <- header2[1]
-    header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
-    if (test) header2[length(header1)] <- header1[length(header1)]
-    assign("tab",
-           eval(parse(text = paste0("flextable::set_header_labels(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header1, "'"), sep = "=", collapse = ","),
-                                    ")"))))
-    assign("tab",
-           eval(parse(text = paste0("flextable::add_header(tab,",
-                                    paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
-                                    ", top = FALSE)"))))
-
-    tab <- flextable::merge_h(tab, part = "header")
-    tab <- flextable::merge_v(tab, part = "header")
-
-    ## footer
-    for (k in (1:length(footer))) {
-      tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
-      tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
-    }
-
-    ## format
-    ### width
-    tab <- flextable::autofit(tab)
-    ### alignment
-    tab <- flextable::align(tab, j = 1, align = "left", part = "all")
-    ### faces of header
-    tab <- flextable::bold(tab, part = "header")
-    ### background
-    tab <- flextable::bg(tab, i = seq(from = 1, to = nrow(value), by = 2), j = 1:length(header1), bg = bg, part = "body")
-    ### border
-    tabbd <- officer::fp_border(color="black", width = 1.5)
-    tab <- flextable::border_remove(tab)
-    tab <- flextable::hline(tab, border = tabbd, part = "header")
-    tab <- flextable::hline_top(tab, border = tabbd, part = "all")
-    tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-
-  } else {
-    tab <- list(table = rbind(header1, header2, value),
-                footer = footer)
-    class(tab$table) <- c('baseline_tbl', 'ss_tbl', class(tab$table))
-  }
-  ## output
-  if (!flextable) class(tab) <- c('ss_baseline','ss_obj')
-  return(tab)
-}
-
 sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, pooledGroup = FALSE,
                                   statistics = "mean, median (Q1-Q3)", continuous = NA, fullfreq = TRUE, test = FALSE,
                                   digits = 1, pdigits = pdigits, pcutoff = 0.0001, chisq.test = FALSE, correct = FALSE, workspace = 1000000,

From 5ce80b04878550190262bab1c58f3c1425863b16 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 21:05:22 +0700
Subject: [PATCH 162/193] Fix Print.aetype.header not passed to children.

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 54704f7..b1e7ade 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1027,7 +1027,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       new_call <- orig_call
       new_call$aetype.var <- .aetype_var
       new_call$flextable <- FALSE
-      new_call$print.aetype.header <- force(orig_call$print.aetype.header)
+      new_call$print.aetype.header <- force(print.aetype.header)
       new_call
     }
     env <- rlang::caller_env()

From 30e2b8deeba584f78ef6f69d4faa08b6671feab3 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 21:20:45 +0700
Subject: [PATCH 163/193] Fix grade NA

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index b1e7ade..730bef4 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1031,7 +1031,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       new_call
     }
     env <- rlang::caller_env()
-    n.grade<-length(unique(na.omit(ae_data[, grade.var])))
+    n.grade<-length(unique(ae_data[, grade.var]))
     tbl1_call <- make_tblcall(tmp, aetype.var[[1]])
     tbl1 <- eval(tbl1_call, envir = env)
     rownames(tbl1$table)[4+n.grade] = 'section'

From 18d0e8e9082a41de3166b8b464003420c39bad47 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 21:30:57 +0700
Subject: [PATCH 164/193] Fix two any

---
 R/sstable.R | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 730bef4..e2fd1e6 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1140,10 +1140,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   ae_any <- ae_data  # Assuming ae_data is your original data frame
 
   mutated_data <- if(print.aetype.header)
-    replace_with_var_names(ae_any, aetype.var, aetype.var) else ae_any
+    replace_with_var_names(ae_any, aetype.var, aetype.var) else NULL
   ae_any[, aetype.var] <- "Any selected adverse event"
   # Combine original and mutated data (assuming ae_data and ae_any exist)
-  ae <- rbind(ae_data, ae_any, mutated_data)
+  ae <- if(print.aetype.header) 
+		rbind(ae_data, ae_any, mutated_data) else 
+		rbind(ae_data, ae_any)
 
   # Extract grades of ae (assuming grade.var exists)
   if (!is.null(grade.var)) {

From d6fcdda87af99948a9e2cae811d62b966e6a245a Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 21:57:10 +0700
Subject: [PATCH 165/193] Update sstable.R

---
 R/sstable.R | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index e2fd1e6..977424c 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1034,13 +1034,14 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     n.grade<-length(unique(ae_data[, grade.var]))
     tbl1_call <- make_tblcall(tmp, aetype.var[[1]])
     tbl1 <- eval(tbl1_call, envir = env)
-    rownames(tbl1$table)[4+n.grade] = 'section'
+    if(print.aetype.header) rownames(tbl1$table)[4+n.grade] = 'section'
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
                tbl_call <- make_tblcall(tmp, .aetype.var)
                sstbl = eval(tbl_call, envir=env)
-               rownames(sstbl$table)[4+n.grade] = 'section'
+               if(print.aetype.header) 
+									rownames(sstbl$table)[4+n.grade] = 'section'
                sstbl
              })
     tbl2 <- tbl2p[[1]]

From 85be7e67307e837fd361a56c9d701cf17e4e24e6 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 22:01:24 +0700
Subject: [PATCH 166/193] A confusing fix

---
 R/sstable.R | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 977424c..48d7a42 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1087,9 +1087,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   }
   # Check if any aetype.var is NA and replace with "NA"
   for (var in aetype.var) {
+		ae_data[[var]] = as.character(ae_data[[var]])
     if (any(is.na(ae_data[[var]]))) {
-      if (is.factor(ae_data[[var]]))
-          levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
+      #if (is.factor(ae_data[[var]]))
+          #levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
 
       ae_data[[var]][is.na(ae_data[[var]])] <- na.text
     }

From f6b00670809fde40ac108b1aa4a4a0c2cc8073ed Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 12 Jul 2024 22:12:14 +0700
Subject: [PATCH 167/193] Another confusing update

---
 R/sstable.R | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 48d7a42..b106b98 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1080,6 +1080,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
+   #strip tibble class
+ 	ae_data <- as.data.frame(ae_data)
+  fullid_data <- as.data.frame(fullid_data)
+  group_data <- as.data.frame(group_data)
+  is.grouped <- !missing(group.var)
+
   # Check if grade.var is not NULL and has any NA values - hungtt
   if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
     # Replace NA values with "Grade NA"
@@ -1087,7 +1093,9 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   }
   # Check if any aetype.var is NA and replace with "NA"
   for (var in aetype.var) {
+		lbl = attr(ae_data[[var]], 'label')
 		ae_data[[var]] = as.character(ae_data[[var]])
+		ae_data[[var]] = structure(ae_data[[var]], label=lbl)
     if (any(is.na(ae_data[[var]]))) {
       #if (is.factor(ae_data[[var]]))
           #levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
@@ -1096,12 +1104,6 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     }
   }
 
-  # strip the tibble class which causes issues - trinhdhk
-  ae_data <- as.data.frame(ae_data)
-  fullid_data <- as.data.frame(fullid_data)
-  group_data <- as.data.frame(group_data)
-  is.grouped <- !missing(group.var)
-
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
   if (is.factor(idarm$arm)){

From 719ae3f0183aba63c18b385679bda288517361c8 Mon Sep 17 00:00:00 2001
From: Hung Tran Thai <hungtt@oucru.org>
Date: Sat, 13 Jul 2024 01:06:31 +0700
Subject: [PATCH 168/193] Update sstable.R

---
 R/sstable.R | 224 +++++++++++++++++++++-------------------------------
 1 file changed, 88 insertions(+), 136 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index b106b98..3737a60 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -133,8 +133,9 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
 #' If formula is in the form of x+y ~ a, the function will summary x and y with respects to each value of a
 #'
 #' If formula is in the form of x+y ~ a|z, the function will summary z with respects to each value of {a,x} and {a, y}
-#' @param data a data frame to derive baseline table from.
+#' @param value a data frame to derive baseline table from.
 #' @param bycol a logical value specifies whether the summary will be by column or by row.
+#' @param data data of draw data
 #' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
 #' @param keepEmptyGroup a logical value specifying whether should keep empty groups
 #' @param statistics a character specifies summary statistics for continuous row variables.
@@ -157,7 +158,6 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @export
-# function to format data frame to baseline table -hungtt
 sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
                                    statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
                                    test = FALSE, pdigits = 3, pcutoff = 0.0001,
@@ -997,55 +997,53 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
 #' @param flextable a logical value specifies whether output will be a flextable-type table.
 #' @param bg a character specifies color of the odd rows in the body of flextable-type table.
 #' @param group.var.priority a vector that specifies which groups will be appear first in the table.
-#' @param print.aetype.header a logical value, whether to print the label of aetype.header.
-#' @param na.text [`(Missing)`] in-placed text for missing AE
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @import dplyr
 #' @import tidyr
 #' @export
-sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
-                       aetype.var, grade.var = NULL,
+sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
                        group.var = NULL, group.var.priority = NULL, arm.var, sort.by, digits = 0,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
-                       print.aetype.header = length(aetype.var) > 1,
-                       na.text = '(Missing)',
-                       footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
+                       footer = NULL, flextable = TRUE, bg = "#F2EFEE", print.group = FALSE){
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
-  tmp <- match.call()
+  # Check if grade.var is not NULL and has any NA values
+  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
+    # Replace NA values with "Grade NA"
+    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
+  }
+  # Check if any aetype.var is NA and replace with "NA"
+  for (var in aetype.var) {
+    if (any(is.na(ae_data[[var]]))) {
+      ae_data[[var]][is.na(ae_data[[var]])] <- "NA"
+    }
+  }
 
-  # if more than one aetype.var
-  # perform sstable.ae for each for aetype.var
-  # then do rbind
+  tmp <- match.call()
   if (length(aetype.var) > 1){
-
-    # function to prepare
-    make_tblcall <- function(orig_call, .aetype_var) {
-      new_call <- orig_call
-      new_call$aetype.var <- .aetype_var
-      new_call$flextable <- FALSE
-      new_call$print.aetype.header <- force(print.aetype.header)
-      new_call
-    }
     env <- rlang::caller_env()
-    n.grade<-length(unique(ae_data[, grade.var]))
-    tbl1_call <- make_tblcall(tmp, aetype.var[[1]])
+    n.grade<-length(unique(na.omit(ae_data[, grade.var])))
+    tbl1_call <- tmp
+    tbl1_call$aetype.var <- aetype.var[[1]]
+    tbl1_call$flextable <- FALSE
     tbl1 <- eval(tbl1_call, envir = env)
-    if(print.aetype.header) rownames(tbl1$table)[4+n.grade] = 'section'
+    rownames(tbl1$table)[4+n.grade] = 'section'
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
-               tbl_call <- make_tblcall(tmp, .aetype.var)
-               sstbl = eval(tbl_call, envir=env)
-               if(print.aetype.header) 
-									rownames(sstbl$table)[4+n.grade] = 'section'
-               sstbl
+               tbl_call <- tmp
+               tbl_call$aetype.var <- .aetype.var
+               tbl_call$flextable <- FALSE
+               # tbl_call$grade.var = NULL
+               z = eval(tbl_call, envir=env)
+               rownames(z$table)[4+n.grade] = 'section'
+               z
              })
     tbl2 <- tbl2p[[1]]
-
+    
     # tbl2$table <- tbl2$table[-c(1:(3+n.grade)),]
     for (tbl3 in tbl2p[-1]) tbl2 <- .do_rbind(tbl2, tbl3, header=c(1:(3+n.grade)))
     # browser()
@@ -1054,6 +1052,9 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     if (flextable) return(ss_flextable(out))
     return(out)
   }
+  
+
+  
 
   ## check variable's name
 
@@ -1080,30 +1081,12 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
-   #strip tibble class
- 	ae_data <- as.data.frame(ae_data)
+  # strip the tibble class which causes issues - trinhdhk
+  ae_data <- as.data.frame(ae_data)
   fullid_data <- as.data.frame(fullid_data)
   group_data <- as.data.frame(group_data)
   is.grouped <- !missing(group.var)
 
-  # Check if grade.var is not NULL and has any NA values - hungtt
-  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
-    # Replace NA values with "Grade NA"
-    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
-  }
-  # Check if any aetype.var is NA and replace with "NA"
-  for (var in aetype.var) {
-		lbl = attr(ae_data[[var]], 'label')
-		ae_data[[var]] = as.character(ae_data[[var]])
-		ae_data[[var]] = structure(ae_data[[var]], label=lbl)
-    if (any(is.na(ae_data[[var]]))) {
-      #if (is.factor(ae_data[[var]]))
-          #levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
-
-      ae_data[[var]][is.na(ae_data[[var]])] <- na.text
-    }
-  }
-
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
   if (is.factor(idarm$arm)){
@@ -1117,18 +1100,15 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
   }
 
-  # Original data frame ae_data assumed to exist
-  # Ensure ae_data, ae_any, ae_grade, etc., are defined appropriately in your script
 
-  replace_with_var_names <- function(df, var, aetype_var) {
+
+  if (print.group)
+  {replace_with_var_names <- function(df, var, aetype_var) {
   # Identify rows where aetype_var is not "NA"
-  not_na_rows <- df[[aetype_var]] != na.text
+  not_na_rows <- df[[aetype_var]] != "NA"
 
-  df[[aetype_var]] <- as.character(df[[aetype_var]])
   # Replace values with variable names or labels only where not "NA"
-  if (!is.null(names(aetype_var))){
-    df[[aetype_var]][not_na_rows] <- names(aetype_var)
-  } else if (!is.null(attr(df[[var]], "label"))) {
+  if (!is.null(attr(df[[var]], "label"))) {
     df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
   } else {
     df[[aetype_var]][not_na_rows] <- var  # Fallback to default label
@@ -1143,13 +1123,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Example usage with ae_any data frame mutation
   ae_any <- ae_data  # Assuming ae_data is your original data frame
 
-  mutated_data <- if(print.aetype.header)
-    replace_with_var_names(ae_any, aetype.var, aetype.var) else NULL
+  mutated_data <- replace_with_var_names(ae_any, aetype.var, aetype.var)
   ae_any[, aetype.var] <- "Any selected adverse event"
   # Combine original and mutated data (assuming ae_data and ae_any exist)
-  ae <- if(print.aetype.header) 
-		rbind(ae_data, ae_any, mutated_data) else 
-		rbind(ae_data, ae_any)
+  ae <- rbind(ae_data, ae_any, mutated_data)
 
   # Extract grades of ae (assuming grade.var exists)
   if (!is.null(grade.var)) {
@@ -1173,9 +1150,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
 
   # Check if aetype.var has a label attribute
-  if (!is.null(names(aetype.var))){
-    aetype.var.label <- names(aetype.var)
-  } else if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
+  if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
     aetype.var.label <- attr(ae_data[[aetype.var]], "label")
   } else {
     aetype.var.label <- aetype.var
@@ -1185,8 +1160,36 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Construct aetype_lev with labels where available
   aetype_lev <- c("Any selected adverse event",
                   if (!is.null(grade.var)) paste("-", grade2),
-                  if (print.aetype.header) aetype.var.label,
+                  aetype.var.label,
                   aetype_lev.raw)
+  } else {
+    ## add aetype of "Any selected AE" & format aetype
+    ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
+    ae <- rbind(ae_data, ae_any)
+    # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
+    # browser()
+    
+    ## extract grades of ae
+    if (!is.null(grade.var)) {
+      grade <- sort(unique(na.omit(ae_data[, grade.var])))
+      grade2 <- ifelse(grepl(pattern = "grade", ignore.case = TRUE, x = grade), grade, paste("Grade", grade))
+      ae_grade <- do.call(rbind,
+                          lapply(1:length(grade), function(i) {
+                            tmpdat <- ae_data[ae_data[, grade.var] == grade[i], ]
+                            tmpdat[, aetype.var] <- paste("-", grade2[i])
+                            return(tmpdat)
+                          }))
+      ae <- rbind(ae, ae_grade)
+      # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
+    }
+    ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
+    # browser()
+    
+    aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
+    aetype_lev <- c("Any selected adverse event",
+                    if (!is.null(grade.var)) paste("-", grade2),
+                    aetype_lev.raw)
+  }
 
   ## add randomized arm to AE
   ae_arm <- merge(idarm, ae, by = "id", all.y = TRUE) %>%
@@ -1354,7 +1357,6 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
 
   # browser()
   #make index 1 for case aetype.var = 1 -hungtt
-  index_aetype.var <- length(unique(ae_data[, grade.var]))
   ## sorting - trinhdhk
   if (!missing(sort.by)){
     ## - the head will not be sorted.
@@ -1493,7 +1495,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    tab <- flextable::bold(tab, i = index_aetype.var + 2, j=1, part = "body")
+    if (print.group) {tab <- flextable::bold(tab, i = index_aetype.var + 2, j=1, part = "body")}
     ### group-name rows-trinhdhk
     if (is.grouped) {
       tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
@@ -1816,13 +1818,11 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
                  ci <- apply(cf, 1,
                              \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
                  )
-                 if (is.na(p)) diff.ci.p <- paste(diff, '(-)')
-                 else if (p.compare){
+                 if (p.compare){
                    diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
                  } else {
                    diff.ci.p <- paste(diff, " (", ci, ")", sep = "")
                  }
-                 diff.ci.p
                })
     }
 
@@ -1910,7 +1910,6 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @description A function to summarize results for a survival model by treatment arm (variable "arm") and subgroup.
 #'
 #' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
-#' @param overall.model an optional one-sided formula for additional terms for overall population only
 #' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
 #' @param data a data frame to fit the survival model.
 #' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
@@ -1941,21 +1940,20 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @param footer a [\code{NULL}] vector of strings to be used as footnote of table.
 #' @param flextable [\code{TRUE}] a logical value specifies whether output will be a flextable-type table.
 #' @param bg [\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.
-#' @param overall [\code{TRUE}] where to print overall model
 #' @param ... arguments that are passed to sstable.survcomp
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #'
-#' @author This function was originally written by Marcel Wolbers. Trinh Dong and Lam Phung Khanh did some modification.
+#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
-sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model, data,
+sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
                                       time = Inf,
                                       reference.arm = c('B', 'A'),
                                       compare.method = c('cox', 'rmst', 'cuminc'),
                                       compare.args = list(),
                                       p.compare = TRUE,
-                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", overall = TRUE,...){
+                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
 
 
   requireNamespace("survival")
@@ -1982,14 +1980,7 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-  if (!missing(overall.model)){
-    added.terms <- terms(overall.model) |> attr('term.labels')
-    overall.model <- update(base.model,
-                            as.formula(paste('. ~ . +',
-                                             paste(added.terms,
-                                             collapse='+'))))
-  } else overall.model <- base.model
-  result <- sstable.survcomp(model = overall.model, data = data, time=time, reference.arm=reference.arm,
+  result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
                              medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,
                              p.compare = p.compare,
@@ -2004,9 +1995,8 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
     main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
     ia.model <- update(base.model, as.formula(paste(". ~ . +`", arm.var,  "`*", subgroup.char[k], sep = "")))
     data$.subgroup.var <- data[, subgroup.char[k]]
-    if (!inherits(data[, subgroup.char[k]], 'factor'))  data[, subgroup.char[k]] <- factor(data[, subgroup.char[k]])
     factor.levels <- levels(data[, subgroup.char[k]])
-    compare.args.subgroup <- compare.args
+
     # Add interaction test for heterogeneity
     result <- rbind(result, "")
     result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
@@ -2030,18 +2020,16 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
                 test = "Chisq")[2, "Pr(>|Chi|)"]
         }
       } else {
+        # fitter <- eventglm::rmeanglm
         ia.args <- compare.args
         ia.args$add.prop.haz.test <- NULL
         # ia.args$formula <- ia.model
         ia.args$data <- data
-
         type <- if (is.null(ia.args$type)) 'diff' else ia.args$type
         ia.args$type <- NULL
         ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
         ia.args$model.censoring <- if (is.null(ia.args$model.censoring)) 'stratified'
-        ia.args$formula.censoring <-
-          if (is.null(ia.args$formula.censoring)) update(main.model, NULL ~.) else
-            update(ia.args$formula.censoring, as.formula(paste("NULL ~ . +", subgroup.char[k], sep = "")))
+        ia.args$formula.censoring <- if (is.null(ia.args$formula.censoring)) as.formula(paste0("~`", arm.var,'`'))
         mf <- model.frame(update(base.model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
         mf <- cbind(unclass(mf[,1]), mf[,2])
         # Get max of stop time, is the minimum of last observed time between two arms.
@@ -2049,59 +2037,27 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
         # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
         # browser()
         minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
-
         # tau for rmst is capped as minamax.time
         if (is.null(ia.args$time)) ia.args$time <- minimax.time
         else if (ia.args$time > minimax.time) {
           ia.args$time <- minimax.time
         }
-
-        # Remove missing value from predictor bc this causes problem in censoring model
-        NAs <- model.frame(main.model, data=data) |> attr('na.action') |> unname()
-        if (length(NAs)){
-          warning(sprintf('Missing %s on observation(s) %s',
-                          subgroup.char[k],
-                          paste(NAs,collapse=', ')))
-          # data <- data[seq_len(nrow(data))[-NAs],]
-          ia.args$data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
-        }
-
-        # browsere)
-        # Perform multivariate wald test for interaction term
-        tryCatch({
-          fitter <- switch(compare.method,
-                           'rmst' = eventglm::rmeanglm,
-                           'cuminc' = eventglm::cumincglm)
-          ia.fit <-
-            do.call(fitter, append(ia.args, c(formula=ia.model)))
-          main.terms <- colnames(model.matrix(main.model, data=ia.args$data))
-          ia.terms <- coef(ia.fit)
-          test.terms <- which(!names(ia.terms) %in% main.terms)
-          test <- aod::wald.test(vcov(ia.fit), b=ia.terms, Terms=test.terms)
-          test$result$chi2['P']
-        },
-        error=\(e) NA
-        )
-
+        # browser()
+        anova(
+          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
+          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
+         test = "Chisq"
+        )[2, "Pr(>Chi)"]
       }
       # browser()
 
-    result[nrow(result), ncol(result)] <-
-      if (is.na(ia.pval)) '-' else
-        format.pval(ia.pval, digits = pdigits, eps = pcutoff)
+    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level
     for (j in 1:length(factor.levels)){
       result <- rbind(result, "")
       result[nrow(result), 1] <- paste("-", factor.levels[j])
       d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
-      # if (compare.method=='rmst'){
-      #   compare.args$model.censoring <- if (is.null(compare.args$model.censoring)) 'stratified'
-      #   compare.args$formula.censoring <-
-      #     if (is.null(compare.args$formula.censoring)) update(main.model, NULL ~.) else
-      #       update(compare.args$formula.censoring, as.formula(paste("NULL ~ . +", subgroup.char[k], sep = "")))
-      # }
-      # browser()
       result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup, time=time,
                                                                      compare.method = compare.method, compare.args = compare.args,
                                                                      p.compare = p.compare,
@@ -2140,14 +2096,10 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model,
   footer <- c(
     compare.note,
     paste(compare.stat, "and p value were based on", paste0(compare.name, '.')),
-    sprintf(
-      "Test for heterogeneity is an %s test for interaction between treatment effect and each subgroup in the survival model not including other variables.",
-      if (compare.method == 'cox') 'Likelihood-ratio' else 'multivariate Wald'
-    ),
+    "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
     footer)
 
   # flextable
-  if (!overall) result <- result[-3,]
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")

From 1b5ef853b376bc0191b9a3009fa654e180548114 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Sat, 13 Jul 2024 07:41:49 +0700
Subject: [PATCH 169/193] Revert "update sstable.baseline.edit"


From e864640a4a4043f23b863905e8a92ff1c6656595 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 15 Jul 2024 10:01:06 +0700
Subject: [PATCH 170/193] Revert "Update sstable.R"

This reverts commit 719ae3f0183aba63c18b385679bda288517361c8.
---
 R/sstable.R | 224 +++++++++++++++++++++++++++++++---------------------
 1 file changed, 136 insertions(+), 88 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 3737a60..b106b98 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -133,9 +133,8 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
 #' If formula is in the form of x+y ~ a, the function will summary x and y with respects to each value of a
 #'
 #' If formula is in the form of x+y ~ a|z, the function will summary z with respects to each value of {a,x} and {a, y}
-#' @param value a data frame to derive baseline table from.
+#' @param data a data frame to derive baseline table from.
 #' @param bycol a logical value specifies whether the summary will be by column or by row.
-#' @param data data of draw data
 #' @param pooledGroup a logical value specifies whether to pool all subgroups of column variable.
 #' @param keepEmptyGroup a logical value specifying whether should keep empty groups
 #' @param statistics a character specifies summary statistics for continuous row variables.
@@ -158,6 +157,7 @@ contSummary <- function(x, statistics = NULL, digits = 1, n = TRUE) {
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @export
+# function to format data frame to baseline table -hungtt
 sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGroup = FALSE, keepEmptyGroup = FALSE,
                                    statistics = "mean, median (Q1-Q3)", cont = NULL, cate = NULL, fullfreq = TRUE, digits = 1,
                                    test = FALSE, pdigits = 3, pcutoff = 0.0001,
@@ -997,53 +997,55 @@ sstable.baseline.each <- function(varname, label_list, x, y, z, bycol = TRUE, po
 #' @param flextable a logical value specifies whether output will be a flextable-type table.
 #' @param bg a character specifies color of the odd rows in the body of flextable-type table.
 #' @param group.var.priority a vector that specifies which groups will be appear first in the table.
+#' @param print.aetype.header a logical value, whether to print the label of aetype.header.
+#' @param na.text [`(Missing)`] in-placed text for missing AE
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #' @import dplyr
 #' @import tidyr
 #' @export
-sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.var, grade.var = NULL,
+sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
+                       aetype.var, grade.var = NULL,
                        group.var = NULL, group.var.priority = NULL, arm.var, sort.by, digits = 0,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
-                       footer = NULL, flextable = TRUE, bg = "#F2EFEE", print.group = FALSE){
+                       print.aetype.header = length(aetype.var) > 1,
+                       na.text = '(Missing)',
+                       footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
-  # Check if grade.var is not NULL and has any NA values
-  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
-    # Replace NA values with "Grade NA"
-    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
-  }
-  # Check if any aetype.var is NA and replace with "NA"
-  for (var in aetype.var) {
-    if (any(is.na(ae_data[[var]]))) {
-      ae_data[[var]][is.na(ae_data[[var]])] <- "NA"
-    }
-  }
-
   tmp <- match.call()
+
+  # if more than one aetype.var
+  # perform sstable.ae for each for aetype.var
+  # then do rbind
   if (length(aetype.var) > 1){
+
+    # function to prepare
+    make_tblcall <- function(orig_call, .aetype_var) {
+      new_call <- orig_call
+      new_call$aetype.var <- .aetype_var
+      new_call$flextable <- FALSE
+      new_call$print.aetype.header <- force(print.aetype.header)
+      new_call
+    }
     env <- rlang::caller_env()
-    n.grade<-length(unique(na.omit(ae_data[, grade.var])))
-    tbl1_call <- tmp
-    tbl1_call$aetype.var <- aetype.var[[1]]
-    tbl1_call$flextable <- FALSE
+    n.grade<-length(unique(ae_data[, grade.var]))
+    tbl1_call <- make_tblcall(tmp, aetype.var[[1]])
     tbl1 <- eval(tbl1_call, envir = env)
-    rownames(tbl1$table)[4+n.grade] = 'section'
+    if(print.aetype.header) rownames(tbl1$table)[4+n.grade] = 'section'
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
-               tbl_call <- tmp
-               tbl_call$aetype.var <- .aetype.var
-               tbl_call$flextable <- FALSE
-               # tbl_call$grade.var = NULL
-               z = eval(tbl_call, envir=env)
-               rownames(z$table)[4+n.grade] = 'section'
-               z
+               tbl_call <- make_tblcall(tmp, .aetype.var)
+               sstbl = eval(tbl_call, envir=env)
+               if(print.aetype.header) 
+									rownames(sstbl$table)[4+n.grade] = 'section'
+               sstbl
              })
     tbl2 <- tbl2p[[1]]
-    
+
     # tbl2$table <- tbl2$table[-c(1:(3+n.grade)),]
     for (tbl3 in tbl2p[-1]) tbl2 <- .do_rbind(tbl2, tbl3, header=c(1:(3+n.grade)))
     # browser()
@@ -1052,9 +1054,6 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     if (flextable) return(ss_flextable(out))
     return(out)
   }
-  
-
-  
 
   ## check variable's name
 
@@ -1081,12 +1080,30 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
-  # strip the tibble class which causes issues - trinhdhk
-  ae_data <- as.data.frame(ae_data)
+   #strip tibble class
+ 	ae_data <- as.data.frame(ae_data)
   fullid_data <- as.data.frame(fullid_data)
   group_data <- as.data.frame(group_data)
   is.grouped <- !missing(group.var)
 
+  # Check if grade.var is not NULL and has any NA values - hungtt
+  if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
+    # Replace NA values with "Grade NA"
+    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
+  }
+  # Check if any aetype.var is NA and replace with "NA"
+  for (var in aetype.var) {
+		lbl = attr(ae_data[[var]], 'label')
+		ae_data[[var]] = as.character(ae_data[[var]])
+		ae_data[[var]] = structure(ae_data[[var]], label=lbl)
+    if (any(is.na(ae_data[[var]]))) {
+      #if (is.factor(ae_data[[var]]))
+          #levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
+
+      ae_data[[var]][is.na(ae_data[[var]])] <- na.text
+    }
+  }
+
   ## format study arms
   idarm <- fullid_data[, c(id.var, arm.var)]; colnames(idarm) <- c("id", "arm")
   if (is.factor(idarm$arm)){
@@ -1100,15 +1117,18 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     idarm$arm <- with(idarm, factor(as.character(arm), levels = arm_lev, exclude = NULL))
   }
 
+  # Original data frame ae_data assumed to exist
+  # Ensure ae_data, ae_any, ae_grade, etc., are defined appropriately in your script
 
-
-  if (print.group)
-  {replace_with_var_names <- function(df, var, aetype_var) {
+  replace_with_var_names <- function(df, var, aetype_var) {
   # Identify rows where aetype_var is not "NA"
-  not_na_rows <- df[[aetype_var]] != "NA"
+  not_na_rows <- df[[aetype_var]] != na.text
 
+  df[[aetype_var]] <- as.character(df[[aetype_var]])
   # Replace values with variable names or labels only where not "NA"
-  if (!is.null(attr(df[[var]], "label"))) {
+  if (!is.null(names(aetype_var))){
+    df[[aetype_var]][not_na_rows] <- names(aetype_var)
+  } else if (!is.null(attr(df[[var]], "label"))) {
     df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
   } else {
     df[[aetype_var]][not_na_rows] <- var  # Fallback to default label
@@ -1123,10 +1143,13 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   # Example usage with ae_any data frame mutation
   ae_any <- ae_data  # Assuming ae_data is your original data frame
 
-  mutated_data <- replace_with_var_names(ae_any, aetype.var, aetype.var)
+  mutated_data <- if(print.aetype.header)
+    replace_with_var_names(ae_any, aetype.var, aetype.var) else NULL
   ae_any[, aetype.var] <- "Any selected adverse event"
   # Combine original and mutated data (assuming ae_data and ae_any exist)
-  ae <- rbind(ae_data, ae_any, mutated_data)
+  ae <- if(print.aetype.header) 
+		rbind(ae_data, ae_any, mutated_data) else 
+		rbind(ae_data, ae_any)
 
   # Extract grades of ae (assuming grade.var exists)
   if (!is.null(grade.var)) {
@@ -1150,7 +1173,9 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
 
   # Check if aetype.var has a label attribute
-  if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
+  if (!is.null(names(aetype.var))){
+    aetype.var.label <- names(aetype.var)
+  } else if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
     aetype.var.label <- attr(ae_data[[aetype.var]], "label")
   } else {
     aetype.var.label <- aetype.var
@@ -1160,36 +1185,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
   # Construct aetype_lev with labels where available
   aetype_lev <- c("Any selected adverse event",
                   if (!is.null(grade.var)) paste("-", grade2),
-                  aetype.var.label,
+                  if (print.aetype.header) aetype.var.label,
                   aetype_lev.raw)
-  } else {
-    ## add aetype of "Any selected AE" & format aetype
-    ae_any <- ae_data; ae_any[, aetype.var] <- "Any selected adverse event"
-    ae <- rbind(ae_data, ae_any)
-    # aetype_lev <- c("Any selected adverse event", unique(as.character(ae_data[, aetype.var])))
-    # browser()
-    
-    ## extract grades of ae
-    if (!is.null(grade.var)) {
-      grade <- sort(unique(na.omit(ae_data[, grade.var])))
-      grade2 <- ifelse(grepl(pattern = "grade", ignore.case = TRUE, x = grade), grade, paste("Grade", grade))
-      ae_grade <- do.call(rbind,
-                          lapply(1:length(grade), function(i) {
-                            tmpdat <- ae_data[ae_data[, grade.var] == grade[i], ]
-                            tmpdat[, aetype.var] <- paste("-", grade2[i])
-                            return(tmpdat)
-                          }))
-      ae <- rbind(ae, ae_grade)
-      # aetype_lev <- c("Any selected adverse event", paste("-", grade2), unique(as.character(ae_data[, aetype.var])))
-    }
-    ae <- ae[, c(id.var, aetype.var)]; colnames(ae) <- c("id", "aetype")
-    # browser()
-    
-    aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
-    aetype_lev <- c("Any selected adverse event",
-                    if (!is.null(grade.var)) paste("-", grade2),
-                    aetype_lev.raw)
-  }
 
   ## add randomized arm to AE
   ae_arm <- merge(idarm, ae, by = "id", all.y = TRUE) %>%
@@ -1357,6 +1354,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
 
   # browser()
   #make index 1 for case aetype.var = 1 -hungtt
+  index_aetype.var <- length(unique(ae_data[, grade.var]))
   ## sorting - trinhdhk
   if (!missing(sort.by)){
     ## - the head will not be sorted.
@@ -1495,7 +1493,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var, aetype.v
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    if (print.group) {tab <- flextable::bold(tab, i = index_aetype.var + 2, j=1, part = "body")}
+    tab <- flextable::bold(tab, i = index_aetype.var + 2, j=1, part = "body")
     ### group-name rows-trinhdhk
     if (is.grouped) {
       tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
@@ -1818,11 +1816,13 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
                  ci <- apply(cf, 1,
                              \(.cf) paste(formatC(sort(invlink(.cf)), digits, format = "f"), collapse = ", ")
                  )
-                 if (p.compare){
+                 if (is.na(p)) diff.ci.p <- paste(diff, '(-)')
+                 else if (p.compare){
                    diff.ci.p <- paste(diff, " (", ci, "); p=", pval, sep = "")
                  } else {
                    diff.ci.p <- paste(diff, " (", ci, ")", sep = "")
                  }
+                 diff.ci.p
                })
     }
 
@@ -1910,6 +1910,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @description A function to summarize results for a survival model by treatment arm (variable "arm") and subgroup.
 #'
 #' @param base.model a formula from which sub-group specific estimates are extracted (!! arm must be the first covariate in the model).
+#' @param overall.model an optional one-sided formula for additional terms for overall population only
 #' @param subgroup.model a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).
 #' @param data a data frame to fit the survival model.
 #' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
@@ -1940,20 +1941,21 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
 #' @param footer a [\code{NULL}] vector of strings to be used as footnote of table.
 #' @param flextable [\code{TRUE}] a logical value specifies whether output will be a flextable-type table.
 #' @param bg [\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.
+#' @param overall [\code{TRUE}] where to print overall model
 #' @param ... arguments that are passed to sstable.survcomp
 #'
 #' @return a flextable-type table or a list with values/headers/footers
 #'
-#' @author This function was originally written by Marcel Wolbers. Lam Phung Khanh did some modification.
+#' @author This function was originally written by Marcel Wolbers. Trinh Dong and Lam Phung Khanh did some modification.
 #' @import survival
 #' @export
-sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
+sstable.survcomp.subgroup <- function(base.model, subgroup.model, overall.model, data,
                                       time = Inf,
                                       reference.arm = c('B', 'A'),
                                       compare.method = c('cox', 'rmst', 'cuminc'),
                                       compare.args = list(),
                                       p.compare = TRUE,
-                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", ...){
+                                      digits = 2, pdigits = 3, pcutoff = 0.001, footer = NULL, flextable = TRUE, bg = "#F2EFEE", overall = TRUE,...){
 
 
   requireNamespace("survival")
@@ -1980,7 +1982,14 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   if (!inherits(data[, arm.var], "factor")) data[, arm.var] <- factor(data[, arm.var])
 
   # result in entire population
-  result <- sstable.survcomp(model = base.model, data = data, time=time, reference.arm=reference.arm,
+  if (!missing(overall.model)){
+    added.terms <- terms(overall.model) |> attr('term.labels')
+    overall.model <- update(base.model,
+                            as.formula(paste('. ~ . +',
+                                             paste(added.terms,
+                                             collapse='+'))))
+  } else overall.model <- base.model
+  result <- sstable.survcomp(model = overall.model, data = data, time=time, reference.arm=reference.arm,
                              medsum = FALSE, digits = digits,
                              compare.method = compare.method, compare.args = compare.args,
                              p.compare = p.compare,
@@ -1995,8 +2004,9 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
     main.model <- update(base.model, as.formula(paste(". ~ . +", subgroup.char[k], sep = "")))
     ia.model <- update(base.model, as.formula(paste(". ~ . +`", arm.var,  "`*", subgroup.char[k], sep = "")))
     data$.subgroup.var <- data[, subgroup.char[k]]
+    if (!inherits(data[, subgroup.char[k]], 'factor'))  data[, subgroup.char[k]] <- factor(data[, subgroup.char[k]])
     factor.levels <- levels(data[, subgroup.char[k]])
-
+    compare.args.subgroup <- compare.args
     # Add interaction test for heterogeneity
     result <- rbind(result, "")
     result[nrow(result), 1] <- ifelse(is.null(attr(data[, subgroup.char[k]], "label")),
@@ -2020,16 +2030,18 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
                 test = "Chisq")[2, "Pr(>|Chi|)"]
         }
       } else {
-        # fitter <- eventglm::rmeanglm
         ia.args <- compare.args
         ia.args$add.prop.haz.test <- NULL
         # ia.args$formula <- ia.model
         ia.args$data <- data
+
         type <- if (is.null(ia.args$type)) 'diff' else ia.args$type
         ia.args$type <- NULL
         ia.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
         ia.args$model.censoring <- if (is.null(ia.args$model.censoring)) 'stratified'
-        ia.args$formula.censoring <- if (is.null(ia.args$formula.censoring)) as.formula(paste0("~`", arm.var,'`'))
+        ia.args$formula.censoring <-
+          if (is.null(ia.args$formula.censoring)) update(main.model, NULL ~.) else
+            update(ia.args$formula.censoring, as.formula(paste("NULL ~ . +", subgroup.char[k], sep = "")))
         mf <- model.frame(update(base.model, new = as.formula(paste0(". ~`", arm.var, '`'))), data = data)
         mf <- cbind(unclass(mf[,1]), mf[,2])
         # Get max of stop time, is the minimum of last observed time between two arms.
@@ -2037,27 +2049,59 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
         # With laziness it is coded as mf[, ncol(mf)-2] (the last two columns are the event status from Surv object, and the arm)
         # browser()
         minimax.time <- min(by(mf[, ncol(mf)-2], mf[, ncol(mf)], max))
+
         # tau for rmst is capped as minamax.time
         if (is.null(ia.args$time)) ia.args$time <- minimax.time
         else if (ia.args$time > minimax.time) {
           ia.args$time <- minimax.time
         }
-        # browser()
-        anova(
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=ia.model))),
-          do.call(eventglm::rmeanglm, append(ia.args, c(formula=main.model))),
-         test = "Chisq"
-        )[2, "Pr(>Chi)"]
+
+        # Remove missing value from predictor bc this causes problem in censoring model
+        NAs <- model.frame(main.model, data=data) |> attr('na.action') |> unname()
+        if (length(NAs)){
+          warning(sprintf('Missing %s on observation(s) %s',
+                          subgroup.char[k],
+                          paste(NAs,collapse=', ')))
+          # data <- data[seq_len(nrow(data))[-NAs],]
+          ia.args$data <- dplyr::slice(data, seq_len(nrow(data))[-NAs])
+        }
+
+        # browsere)
+        # Perform multivariate wald test for interaction term
+        tryCatch({
+          fitter <- switch(compare.method,
+                           'rmst' = eventglm::rmeanglm,
+                           'cuminc' = eventglm::cumincglm)
+          ia.fit <-
+            do.call(fitter, append(ia.args, c(formula=ia.model)))
+          main.terms <- colnames(model.matrix(main.model, data=ia.args$data))
+          ia.terms <- coef(ia.fit)
+          test.terms <- which(!names(ia.terms) %in% main.terms)
+          test <- aod::wald.test(vcov(ia.fit), b=ia.terms, Terms=test.terms)
+          test$result$chi2['P']
+        },
+        error=\(e) NA
+        )
+
       }
       # browser()
 
-    result[nrow(result), ncol(result)] <- format.pval(ia.pval, digits = pdigits, eps = pcutoff)
+    result[nrow(result), ncol(result)] <-
+      if (is.na(ia.pval)) '-' else
+        format.pval(ia.pval, digits = pdigits, eps = pcutoff)
 
     # Add results for each subgroup level
     for (j in 1:length(factor.levels)){
       result <- rbind(result, "")
       result[nrow(result), 1] <- paste("-", factor.levels[j])
       d.subgroup <- subset(data, .subgroup.var == factor.levels[j])
+      # if (compare.method=='rmst'){
+      #   compare.args$model.censoring <- if (is.null(compare.args$model.censoring)) 'stratified'
+      #   compare.args$formula.censoring <-
+      #     if (is.null(compare.args$formula.censoring)) update(main.model, NULL ~.) else
+      #       update(compare.args$formula.censoring, as.formula(paste("NULL ~ . +", subgroup.char[k], sep = "")))
+      # }
+      # browser()
       result[nrow(result), 2:(ncol(result) - 1)] <- sstable.survcomp(model = base.model, data = d.subgroup, time=time,
                                                                      compare.method = compare.method, compare.args = compare.args,
                                                                      p.compare = p.compare,
@@ -2096,10 +2140,14 @@ sstable.survcomp.subgroup <- function(base.model, subgroup.model, data,
   footer <- c(
     compare.note,
     paste(compare.stat, "and p value were based on", paste0(compare.name, '.')),
-    "Test for heterogeneity is an interaction test between treatment effect and each subgroup in the survival model not including other variables.",
+    sprintf(
+      "Test for heterogeneity is an %s test for interaction between treatment effect and each subgroup in the survival model not including other variables.",
+      if (compare.method == 'cox') 'Likelihood-ratio' else 'multivariate Wald'
+    ),
     footer)
 
   # flextable
+  if (!overall) result <- result[-3,]
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")

From 515a74db85b63f278e9acb8c8dd449d030d855fa Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 15 Jul 2024 10:33:09 +0700
Subject: [PATCH 171/193] Revert sstable change and add naming options for
 aetype.var

---
 R/sstable.R | 144 +++++++++++++++++++++++++++-------------------------
 1 file changed, 74 insertions(+), 70 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index b106b98..c72adaa 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -165,16 +165,16 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
                                    workspace = 1000000, hybrid = FALSE, footer = NULL, flextable = FALSE, bg = "#F2EFEE") {
   ## get information from formula
   info <- sstable.formula(formula)
-  
+
   ## strip the tibble class which causes issue - trinhdhk
   data <- as.data.frame(data)
-  
+
   ## get data
   dat <- model.frame(info$formula0, data = data, na.action = NULL)
   x <- xlabel <- dat[, info$index$x, drop = FALSE]
   y <- if (info$index$y > 0) dat[, info$index$y] else NULL
   z <- if (info$index$z > 0) dat[, info$index$z] else NULL
-  
+
   ## y must be categorical variable
   if (!is.null(y)) {
     if (all(!c("character", "factor", "logical") %in% class(y)) |
@@ -192,20 +192,20 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
   } else {
     y <- factor(rep("Total", nrow(dat)))
   }
-  
+
   #browser()
-  
+
   ## determine type of x (argument: cont and cate)
   varlist <- getvar(formula) #hungtt
   varlist <- varlist[-length(varlist)] #remove the y name
-  
+
   # Convert varlist, cont, and cate to lowercase for case-insensitive comparison
   varlist_lower <- tolower(varlist)
   cont_lower <- tolower(cont)
   cate_lower <- tolower(cate)
-  
+
   continuous <- ifelse(varlist_lower %in% cont_lower, TRUE, ifelse(varlist_lower %in% cate_lower, FALSE, NA)) #assign var type
-  
+
   continuous <- sapply(1:ncol(x), function(i) {
     out <- ifelse(is.na(continuous[i]),
                   ifelse(any(c("factor", "character", "logical") %in% class(x[, i])) |
@@ -213,19 +213,19 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
                   continuous[i])
     return(out)
   })
-  
-  
+
+
   for (i in (1:ncol(x))) {
     if (continuous[i] == FALSE & !is.factor(x[, i])) x[, i] <- factor(x[, i], levels = sort(unique(na.omit(x[, i]))))
   }
-  
+
   ## if z exists, x must be categorical
   if (!is.null(z) & any(continuous == TRUE)) stop("Row-wise variable must be categorical when third dimension variable exists !!!")
-  
+
   ## if use by-row layout, x must be categorical
   #browser()
   if (bycol == FALSE & any(sapply(1:ncol(x), function(i) is.factor(x[,i])) == FALSE)) stop("Row-wise variable must be categorical in by-row layout !!!")
-  
+
   ## determine type of z
   if (!is.null(z)) {
     zdiscrete <- any(c("factor", "character", "logical") %in% class(unclass(z))) |
@@ -233,7 +233,7 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
     # if (zcontinuous == FALSE & !is.factor(z)) z <- factor(z, levels = unique(na.omit(z)))
     if (zdiscrete) z <- factor(z, levels = unique(na.omit(z)))
   }
-  
+
   # browser()
   ## digits
   if (length(digits) == 1) {
@@ -241,7 +241,7 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
   } else {
     if (length(digits) != ncol(x)) stop("digits argument must have length 1 or similar length as number of row-wise variables !!!")
   }
-  
+
   ## if pooledGroup
   if (pooledGroup) {
     x <- rbind(x, x)
@@ -252,22 +252,22 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
   # else{
   #   z <- if (!is.null(z)) factor(z, levels = unique(na.omit(z))) else NULL
   # }
-  
+
   ## get variable name
   varname <- if (ncol(xlabel) == 1) getlabel(xlabel[, 1]) else getlabel(xlabel)
-  
-  
-  
+
+
+
   # Initialize an empty vector to store labels or variable names
   label_list <- character(length(varlist))
-  
+
   # Loop through the variables in varlist
   for (i in seq_along(varlist)) {
     var_name <- varlist[i]
-    
+
     # Retrieve the variable label if available
     var_label <- attr(data[[var_name]], "label")
-    
+
     # Check if the variable has a label or use the variable name
     if (!is.null(var_label) && var_label != "") {
       label_list[i] <- var_label
@@ -284,10 +284,10 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
     header1 <- c(header1, "p value")
     header2 <- c(header2, "")
   }
-  
+
   ### footer
   footer2 <- footer1 <- footer1.after <- footer.con <- footer.cat <- NULL
-  
+
   #### summary statistics
   if ((is.null(z) & any(continuous)) | (!is.null(z) & !is.factor(z))) {
     footer.con <- paste0(
@@ -295,11 +295,11 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
       " for continuous variable(s)."
     )
   }
-  
+
   if ((is.null(z) & any(continuous == FALSE)) | (!is.null(z) & is.factor(z))) {
     footer.cat <- "absolute count (%) for categorical variable(s)"
   }
-  
+
   footer1.after <- if (is.null(footer.con)) {
     paste0(footer.cat, ".")
   } else {
@@ -310,7 +310,7 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
     }
   }
   footer1 <- paste("Summary statistic is", footer1.after)
-  
+
   #### test
   if (test) {
     footer2.cat <- paste(
@@ -329,7 +329,7 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
     }
     footer2 <- paste("p-values were based on", footer2.after)
   }
-  
+
   footer <- c(
     "N is number of all patients, n is number of patients with non-missing value.",
     footer1,
@@ -337,15 +337,15 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
     footer2,
     footer
   )
-  
+
   ### flextable
   if (flextable) {
     requireNamespace("flextable")
     requireNamespace("officer")
-    
+
     ## main table
     tab <- flextable::flextable(as.data.frame(value))
-    
+
     ## header
     header1[1] <- header2[1]
     header1[seq(from = 2, to = 2 * length(gr.lev), by = 2)] <- header1[seq(from = 2, to = 2 * length(gr.lev), by = 2) + 1]
@@ -358,16 +358,16 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
            eval(parse(text = paste0("flextable::add_header(tab,",
                                     paste(paste0("V", 1:length(header1)), paste0("'", header2, "'"), sep = "=", collapse = ","),
                                     ", top = FALSE)"))))
-    
+
     tab <- flextable::merge_h(tab, part = "header")
     tab <- flextable::merge_v(tab, part = "header")
-    
+
     ## footer
     for (k in (1:length(footer))) {
       tab <- flextable::add_footer(tab, V1 = footer[k], top = FALSE)
       tab <- flextable::merge_at(tab, i = k, j = 1:length(header1), part = "footer")
     }
-    
+
     ## format
     ### width
     tab <- flextable::autofit(tab)
@@ -383,7 +383,7 @@ sstable.baseline.edit <- function(value, formula, data, bycol = TRUE, pooledGrou
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    
+
   } else {
     tab <- list(table = rbind(header1, header2, value),
                 footer = footer)
@@ -1031,16 +1031,17 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       new_call
     }
     env <- rlang::caller_env()
-    n.grade<-length(unique(ae_data[, grade.var]))
-    tbl1_call <- make_tblcall(tmp, aetype.var[[1]])
+    n.grade <- if (length(grade.var)) length(unique(ae_data[[grade.var]])) else 0
+    tbl1_call <- make_tblcall(tmp, aetype.var[1])
     tbl1 <- eval(tbl1_call, envir = env)
     if(print.aetype.header) rownames(tbl1$table)[4+n.grade] = 'section'
+    # browser()
     tbl2p <-
       lapply(aetype.var[-1],
              function(.aetype.var){
                tbl_call <- make_tblcall(tmp, .aetype.var)
                sstbl = eval(tbl_call, envir=env)
-               if(print.aetype.header) 
+               if(print.aetype.header)
 									rownames(sstbl$table)[4+n.grade] = 'section'
                sstbl
              })
@@ -1080,7 +1081,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       stop('Sorting can only apply to `pt`, `ep`, and `p`')
   }
 
-   #strip tibble class
+   #strip tibble class as it might cause problem
  	ae_data <- as.data.frame(ae_data)
   fullid_data <- as.data.frame(fullid_data)
   group_data <- as.data.frame(group_data)
@@ -1089,19 +1090,24 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Check if grade.var is not NULL and has any NA values - hungtt
   if (!is.null(grade.var) && any(is.na(ae_data[[grade.var]]))) {
     # Replace NA values with "Grade NA"
-    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade NA"
+    ae_data[[grade.var]][is.na(ae_data[[grade.var]])] <- "Grade N/A"
+  }
+
+  # If there is a designated name to aetype.var, populate that into the data
+  if (!is.null(names(aetype.var))){
+    attr(ae_data[, aetype.var[[1]]], 'label') <- names(aetype.var)[[1]]
+    aetype.var <- aetype.var[[1]]
   }
+
   # Check if any aetype.var is NA and replace with "NA"
-  for (var in aetype.var) {
-		lbl = attr(ae_data[[var]], 'label')
-		ae_data[[var]] = as.character(ae_data[[var]])
-		ae_data[[var]] = structure(ae_data[[var]], label=lbl)
-    if (any(is.na(ae_data[[var]]))) {
-      #if (is.factor(ae_data[[var]]))
-          #levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
-
-      ae_data[[var]][is.na(ae_data[[var]])] <- na.text
-    }
+  lbl = attr(ae_data[[aetype.var]], 'label')
+  ae_data[[aetype.var]] = as.character(ae_data[[aetype.var]])
+  ae_data[[aetype.var]] = structure(ae_data[[aetype.var]], label=lbl)
+  if (any(is.na(ae_data[[aetype.var]]))) {
+    #if (is.factor(ae_data[[var]]))
+    #levels(ae_data[[var]]) <- c(levels(ae_data[[var]]), na.text )
+
+    ae_data[[aetype.var]][is.na(ae_data[[aetype.var]])] <- na.text
   }
 
   ## format study arms
@@ -1122,23 +1128,23 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
 
   replace_with_var_names <- function(df, var, aetype_var) {
   # Identify rows where aetype_var is not "NA"
-  not_na_rows <- df[[aetype_var]] != na.text
-
-  df[[aetype_var]] <- as.character(df[[aetype_var]])
-  # Replace values with variable names or labels only where not "NA"
-  if (!is.null(names(aetype_var))){
-    df[[aetype_var]][not_na_rows] <- names(aetype_var)
-  } else if (!is.null(attr(df[[var]], "label"))) {
-    df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
-  } else {
-    df[[aetype_var]][not_na_rows] <- var  # Fallback to default label
-  }
+    not_na_rows <- df[[aetype_var]] != na.text
+
+    # df[[aetype_var]] <- as.character(df[[aetype_var]])
+    # Replace values with variable names or labels only where not "NA"
+    if (!is.null(attr(df[[var]], "label"))) {
+      df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
+    } else {
+      df[[aetype_var]][not_na_rows] <- var  # Fallback to default label
+    }
 
-  # Delete rows where aetype_var is "NA"
-  df <- df[not_na_rows, , drop = FALSE]
+    # Delete rows where aetype_var is "NA"
+    df <- df[not_na_rows, , drop = FALSE]
 
-  return(df)
-}
+    return(df)
+  }
+
+  # browser()
 
   # Example usage with ae_any data frame mutation
   ae_any <- ae_data  # Assuming ae_data is your original data frame
@@ -1147,8 +1153,8 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     replace_with_var_names(ae_any, aetype.var, aetype.var) else NULL
   ae_any[, aetype.var] <- "Any selected adverse event"
   # Combine original and mutated data (assuming ae_data and ae_any exist)
-  ae <- if(print.aetype.header) 
-		rbind(ae_data, ae_any, mutated_data) else 
+  ae <- if(print.aetype.header)
+		rbind(ae_data, ae_any, mutated_data) else
 		rbind(ae_data, ae_any)
 
   # Extract grades of ae (assuming grade.var exists)
@@ -1173,9 +1179,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   aetype_lev.raw <- unique(as.character(ae_data[[aetype.var]]))
 
   # Check if aetype.var has a label attribute
-  if (!is.null(names(aetype.var))){
-    aetype.var.label <- names(aetype.var)
-  } else if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
+  if (!is.null(attr(ae_data[[aetype.var]], "label"))) {
     aetype.var.label <- attr(ae_data[[aetype.var]], "label")
   } else {
     aetype.var.label <- aetype.var

From dc389f0bf5e72837d5d795cc726db31c063820e7 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 15 Jul 2024 11:04:31 +0700
Subject: [PATCH 172/193] Cleanup code in sstable.ae

---
 R/sstable.R | 33 +++++++++++++++++++--------------
 1 file changed, 19 insertions(+), 14 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index c72adaa..d2149a6 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1009,13 +1009,15 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
                        group.var = NULL, group.var.priority = NULL, arm.var, sort.by, digits = 0,
                        test = TRUE, pdigits = 3, pcutoff = 0.001, chisq.test = FALSE, correct = FALSE,
                        simulate.p.value = FALSE, B = 2000, workspace = 1000000, hybrid = FALSE,
-                       print.aetype.header = length(aetype.var) > 1,
+                       print.aetype.header =
+                         length(aetype.var) > 1 | any(length(names(aetype.var)) > 0) | any(isTRUE(nchar(names(aetype.var)) > 0)),
                        na.text = '(Missing)',
                        footer = NULL, flextable = TRUE, bg = "#F2EFEE"){
   requireNamespace("dplyr")
   requireNamespace("tidyr")
 
   tmp <- match.call()
+  print.aetype.header <- force(print.aetype.header)
 
   # if more than one aetype.var
   # perform sstable.ae for each for aetype.var
@@ -1027,22 +1029,19 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
       new_call <- orig_call
       new_call$aetype.var <- .aetype_var
       new_call$flextable <- FALSE
-      new_call$print.aetype.header <- force(print.aetype.header)
+      new_call$print.aetype.header <- print.aetype.header
       new_call
     }
     env <- rlang::caller_env()
     n.grade <- if (length(grade.var)) length(unique(ae_data[[grade.var]])) else 0
     tbl1_call <- make_tblcall(tmp, aetype.var[1])
     tbl1 <- eval(tbl1_call, envir = env)
-    if(print.aetype.header) rownames(tbl1$table)[4+n.grade] = 'section'
-    # browser()
     tbl2p <-
-      lapply(aetype.var[-1],
-             function(.aetype.var){
+      lapply(seq_along(aetype.var[-1]),
+             function(i){
+               .aetype.var <- aetype.var[i+1]
                tbl_call <- make_tblcall(tmp, .aetype.var)
                sstbl = eval(tbl_call, envir=env)
-               if(print.aetype.header)
-									rownames(sstbl$table)[4+n.grade] = 'section'
                sstbl
              })
     tbl2 <- tbl2p[[1]]
@@ -1094,10 +1093,10 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   }
 
   # If there is a designated name to aetype.var, populate that into the data
-  if (!is.null(names(aetype.var))){
+  if (!is.null(names(aetype.var)) & isTRUE(nchar(names(aetype.var))>0)){
     attr(ae_data[, aetype.var[[1]]], 'label') <- names(aetype.var)[[1]]
-    aetype.var <- aetype.var[[1]]
   }
+  aetype.var <- aetype.var[[1]]
 
   # Check if any aetype.var is NA and replace with "NA"
   lbl = attr(ae_data[[aetype.var]], 'label')
@@ -1130,7 +1129,6 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   # Identify rows where aetype_var is not "NA"
     not_na_rows <- df[[aetype_var]] != na.text
 
-    # df[[aetype_var]] <- as.character(df[[aetype_var]])
     # Replace values with variable names or labels only where not "NA"
     if (!is.null(attr(df[[var]], "label"))) {
       df[[aetype_var]][not_na_rows] <- attr(df[[var]], "label")  # Use label if available
@@ -1357,8 +1355,6 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   }
 
   # browser()
-  #make index 1 for case aetype.var = 1 -hungtt
-  index_aetype.var <- length(unique(ae_data[, grade.var]))
   ## sorting - trinhdhk
   if (!missing(sort.by)){
     ## - the head will not be sorted.
@@ -1497,7 +1493,13 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     tab <- flextable::hline(tab, border = tabbd, part = "header")
     tab <- flextable::hline_top(tab, border = tabbd, part = "all")
     tab <- flextable::hline_bottom(tab, border = tabbd, part = "body")
-    tab <- flextable::bold(tab, i = index_aetype.var + 2, j=1, part = "body")
+    if (print.aetype.header){
+      tab <- flextable::bold(
+        tab,
+        i = 2 + if (length(grade.var)) length(unique(ae_data[[grade.var]])) else 0,
+        j=1, part = "body")
+    }
+
     ### group-name rows-trinhdhk
     if (is.grouped) {
       tab <- flextable::merge_h_range(tab, grouptitle_index, 1, ncol(ae_value))
@@ -1507,6 +1509,9 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
   } else {
     tab <- list(table = rbind(header1, header2, ae_value),
                 footer = footer)
+    if (print.aetype.header){
+      rownames(tab$table)[[4 + if (length(grade.var)) length(unique(ae_data[[grade.var]])) else 0]] <- 'section'
+    }
     class(tab$table) <- c('ae_tbl', 'ss_tbl', class(tab$table))
   }
   if (!flextable) class(tab) <- c('ss_ae','ss_obj')

From 377ea035f56371d17a6c7b79610877f43eaedb13 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 15 Jul 2024 11:18:24 +0700
Subject: [PATCH 173/193] pump version to 240715

---
 DESCRIPTION | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 9d5eda2..1697d16 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: C306
 Type: Package
 Title: Collection of useful R codes for data analysis from the Biostatistics group at OUCRU
-Version: 0.1.5-022405
+Version: 0.1.5-240715
 Author: Lam Phung Khanh
 Maintainer@R: 
     c(
@@ -29,7 +29,7 @@ LazyData: true
 Depends: 
     data.table,
     dplyr,
-    R (>= 2.10)
+    R (>= 4.1)
 Imports:
     Hmisc,
     stringi,

From 52d5fb74db99a18c4a2fcad900c45d41a4e95206 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 15 Jul 2024 11:18:56 +0700
Subject: [PATCH 174/193] pump version to 240715

---
 NAMESPACE                        |  1 +
 man/sstable.ae.Rd                |  3 +-
 man/sstable.baseline.edit.Rd     | 87 ++++++++++++++++++++++++++++++++
 man/sstable.survcomp.subgroup.Rd | 10 ++--
 4 files changed, 96 insertions(+), 5 deletions(-)
 create mode 100644 man/sstable.baseline.edit.Rd

diff --git a/NAMESPACE b/NAMESPACE
index 7d77edf..ef6fd81 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -71,6 +71,7 @@ export(ss_section)
 export(ss_template)
 export(sstable.ae)
 export(sstable.baseline)
+export(sstable.baseline.edit)
 export(sstable.survcomp)
 export(sstable.survcomp.subgroup)
 export(subgroup_effect)
diff --git a/man/sstable.ae.Rd b/man/sstable.ae.Rd
index a4b97b3..e5b96bd 100644
--- a/man/sstable.ae.Rd
+++ b/man/sstable.ae.Rd
@@ -25,7 +25,8 @@ sstable.ae(
   B = 2000,
   workspace = 1e+06,
   hybrid = FALSE,
-  print.aetype.header = length(aetype.var) > 1,
+  print.aetype.header = length(aetype.var) > 1 | any(length(names(aetype.var)) > 0) |
+    any(isTRUE(nchar(names(aetype.var)) > 0)),
   na.text = "(Missing)",
   footer = NULL,
   flextable = TRUE,
diff --git a/man/sstable.baseline.edit.Rd b/man/sstable.baseline.edit.Rd
new file mode 100644
index 0000000..fed57b2
--- /dev/null
+++ b/man/sstable.baseline.edit.Rd
@@ -0,0 +1,87 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sstable.R
+\name{sstable.baseline.edit}
+\alias{sstable.baseline.edit}
+\title{Create baseline table}
+\usage{
+sstable.baseline.edit(
+  value,
+  formula,
+  data,
+  bycol = TRUE,
+  pooledGroup = FALSE,
+  keepEmptyGroup = FALSE,
+  statistics = "mean, median (Q1-Q3)",
+  cont = NULL,
+  cate = NULL,
+  fullfreq = TRUE,
+  digits = 1,
+  test = FALSE,
+  pdigits = 3,
+  pcutoff = 1e-04,
+  chisq.test = FALSE,
+  correct = FALSE,
+  simulate.p.value = FALSE,
+  B = 2000,
+  workspace = 1e+06,
+  hybrid = FALSE,
+  footer = NULL,
+  flextable = FALSE,
+  bg = "#F2EFEE"
+)
+}
+\arguments{
+\item{formula}{a formula specifies variables for rows, variable for column and third-dimension variable.
+
+If formula is in the form of x+y ~ a, the function will summary x and y with respects to each value of a
+
+If formula is in the form of x+y ~ a|z, the function will summary z with respects to each value of {a,x} and {a, y}}
+
+\item{data}{a data frame to derive baseline table from.}
+
+\item{bycol}{a logical value specifies whether the summary will be by column or by row.}
+
+\item{pooledGroup}{a logical value specifies whether to pool all subgroups of column variable.}
+
+\item{keepEmptyGroup}{a logical value specifying whether should keep empty groups}
+
+\item{statistics}{a character specifies summary statistics for continuous row variables.}
+
+\item{cont}{a vector specifies whether each row variables is continuous.}
+
+\item{cate}{a vector specifies whether each row variables is categorical.}
+
+\item{digits}{a number specifies number of significant digits for numeric statistics.}
+
+\item{test}{a logical value specifies whether a statistical test will be performed to compare between treatment arms.}
+
+\item{pdigits}{a number specifies number of significant digits for p value.}
+
+\item{pcutoff}{a number specifies threshold value of p value to be displayed as "< pcutoff".}
+
+\item{chisq.test}{a logical value specifies whether Chi-squared test or Fisher's exact test will be used to compare between treatment arms.}
+
+\item{correct}{a parameter for chisq.test().}
+
+\item{simulate.p.value}{a parameter for chisq.test() and fisher.test().}
+
+\item{B}{a parameter for chisq.test() and fisher.test().}
+
+\item{workspace}{a parameter for fisher.test().}
+
+\item{hybrid}{a parameter for fisher.test().}
+
+\item{footer}{a vector of strings to be used as footnote of table.}
+
+\item{flextable}{a logical value specifies whether output will be a flextable-type table.}
+
+\item{bg}{a character specifies color of the odd rows in the body of flextable-type table.}
+
+\item{df}{a logical values specifies whether output will be a draw dataframe.}
+}
+\value{
+a flextable-type table or a list with values/headers/footers
+}
+\description{
+A function to create a simple summary baseline table.
+}
diff --git a/man/sstable.survcomp.subgroup.Rd b/man/sstable.survcomp.subgroup.Rd
index 7a99aef..d2cf6f2 100644
--- a/man/sstable.survcomp.subgroup.Rd
+++ b/man/sstable.survcomp.subgroup.Rd
@@ -7,6 +7,7 @@
 sstable.survcomp.subgroup(
   base.model,
   subgroup.model,
+  overall.model,
   data,
   time = Inf,
   reference.arm = c("B", "A"),
@@ -19,6 +20,7 @@ sstable.survcomp.subgroup(
   footer = NULL,
   flextable = TRUE,
   bg = "#F2EFEE",
+  overall = TRUE,
   ...
 )
 }
@@ -27,6 +29,8 @@ sstable.survcomp.subgroup(
 
 \item{subgroup.model}{a formula of the form "~subgrouping.variable1+subgrouping.variable2" (!! subgrouping.variable must be factors and there should be nothing on the left-hand side of the formula).}
 
+\item{overall.model}{an optional one-sided formula for additional terms for overall population only}
+
 \item{data}{a data frame to fit the survival model.}
 
 \item{time}{[\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
@@ -52,9 +56,9 @@ If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
 
 \item{bg}{[\code{#F2EFEE}] a character specifies color of the odd rows in the body of flextable-type table.}
 
-\item{...}{arguments that are passed to sstable.survcomp}
+\item{overall}{[\code{TRUE}] where to print overall model}
 
-\item{overall.model}{an optional one-sided formula for additional terms for overall population only}
+\item{...}{arguments that are passed to sstable.survcomp}
 
 \item{add.risk}{[\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.}
 
@@ -71,8 +75,6 @@ If CoxPH is preferred, used Surv(t, ev == 'event-of-interest') on the LHS.}
  For compare.method = 'rmst', args are fed to \code{\link[eventglm:rmeanglm]{rmeanglm}} ,
  `type`: [\code{diff}] a string, "diff" for difference in RMST, "ratio' for ratio of RMST, "lost.diff" for difference in restricted mean time lost (RMTL, = -diff), and "lost.ratio" for ratio of RMTL
  other optional args include: model.censoring, formula.censoring, ipcw.method. See \code{\link[eventglm:rmeanglm]{rmeanglm}} for more details.}
-
-\item{overall}{[\code{TRUE}] where to print overall model}
 }
 \value{
 a flextable-type table or a list with values/headers/footers

From 1041ad16a05d5a6926a4d55793295669c4d05e7d Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 15 Jul 2024 11:30:50 +0700
Subject: [PATCH 175/193] Update README.md

Add warning
---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index dbbef39..28e390a 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,6 @@
+> [!IMPORTANT]
+> THIS BRANCH IS FEATURE-FROZEN, AIMING FOR REPRODUCIBILITY IN 27TB ANALYSIS. ONLY BUG FIXES SHOULD BE ACCEPTED
 
-<!-- README.md is generated from README.Rmd. Please edit that file -->
 
 # C306
 

From 2beefa0bef8dde349aa0d0e18ad4d8c549feba64 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Thu, 25 Jul 2024 11:42:37 +0700
Subject: [PATCH 176/193] fix a typo in sstable.ae

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index d2149a6..01980cf 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1047,7 +1047,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
     tbl2 <- tbl2p[[1]]
 
     # tbl2$table <- tbl2$table[-c(1:(3+n.grade)),]
-    for (tbl3 in tbl2p[-1]) tbl2 <- .do_rbind(tbl2, tbl3, header=c(1:(3+n.grade)))
+    for (tbl3 in tbl2p[-1]) tbl2 <- ._do_rbind(tbl2, tbl3, header=c(1:(3+n.grade)))
     # browser()
     out <- ._do_rbind(tbl1, tbl2, header=c(1:(3+n.grade)))
     # rownames(out)[c(3,4,5,8)] <- 'section'

From 40658688aac418633a897a877be97d0305477fe2 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:06:20 +0700
Subject: [PATCH 177/193] Add ci in gg_ajsurvplot2

---
 NAMESPACE                  |  2 ++
 R/gg_ajsurvplot.R          | 62 ++++++++++++++++++++++++++------------
 man/gg_ajsurvplot2.Rd      | 11 ++++---
 man/tidy_competingevent.Rd | 37 +++++++++++++++++++++++
 4 files changed, 89 insertions(+), 23 deletions(-)
 create mode 100644 man/tidy_competingevent.Rd

diff --git a/NAMESPACE b/NAMESPACE
index ef6fd81..d8ab219 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -42,6 +42,7 @@ export(as_sstable)
 export(contSummary)
 export(convert.info)
 export(createProject)
+export(createProject2)
 export(explicit)
 export(ft_sstheme)
 export(getlabel)
@@ -76,6 +77,7 @@ export(sstable.survcomp)
 export(sstable.survcomp.subgroup)
 export(subgroup_effect)
 export(summarise_f)
+export(tidy_competingevent)
 export(tidy_survfit2)
 import(dplyr)
 import(ggplot2)
diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 29432e3..a523df0 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -74,24 +74,19 @@ tidy_survfit2 <- function(x, times=NULL, type='survival'){
     untidy_strata()
 }
 
-#' Plot 2 Aalen-Johansen curves with ggplot for competing risks
+#' Tidy competing risk mstate survival fit.
 #' @description
-#' Extend \link[ggsurvfit:ggsurvfit]{ggsurvfit} functionality to plot competing risk curve, with main risk and competing risk in one plot
-#'
+#' This complements gg_ajurvplot2, provides the intermediate data for advanced ggplot manipulation
 #' @param formula A standard model formula, with survival on the left and covariates on the right
 #' @param data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model
 #' @param weights,subset,na.action,,count,id,timefix parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},
 #' @param main.event,competing.event main and competing event to plot
-#' @param facet.by formula. default to all strata
-#' @param ... optional parameters passed to \code{ggsurvplot}.
-#' @param .return_data [FALSE] if TRUE, get the data instead.
-#' @import ggplot2
+#' @param ... other parameters passed to finegray (excluding etype)
+#' @return a tibble
 #' @export
-gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ..., .return_data=FALSE){
+tidy_competingevent <- function(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, ...){
   dot <- list(...)
   fgargs <- match.call()[-1]
-  fgargs$facet.by <- NULL
-  fgargs$.return_data <- NULL
   fgargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
 
   etypes <- with(fgargs, list(main.event, competing.event))
@@ -113,8 +108,26 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   tidy1 <- tidy_survfit2(sf1, type='risk') |> mutate(Event = main.event)
   tidy2 <- tidy_survfit2(sf2, type='survival') |> mutate(Event = competing.event)
 
-  dt <- rbind(tidy1, tidy2)
-  if (.return_data) return(dt)
+  rbind(tidy1, tidy2) |> tibble::as_tibble()
+}
+
+#' Plot 2 Aalen-Johansen curves with ggplot for competing risks
+#' @description
+#' Extend \link[ggsurvfit:ggsurvfit]{ggsurvfit} functionality to plot competing risk curve, with main risk and competing risk in one plot
+#'
+#' @param formula A standard model formula, with survival on the left and covariates on the right
+#' @param data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model
+#' @param weights,subset,na.action,,count,id,timefix parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},
+#' @param main.event,competing.event main and competing event to plot
+#' @param facet.by formula. default to all strata
+#' @param ci [TRUE] Plot confidence band?
+#' @param monochrome [FALSE] plot in monochrome? either FALSE (default) or a string of color, TRUE is equivalent to "black"
+#' @param ... other parameters passed to finegray (excluding etype)
+#' @import ggplot2
+#' @export
+gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ci=TRUE, monochrome = FALSE, ...){
+
+  dt <- tidy_competingevent(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, ...)
 
   # facet <- if (formula.tools::is.formula(facet.by)) if (length(formula.tools::lhs.vars(facet.by)))
     # facet_grid(facet.by) else facet_wrap(facet.by)
@@ -131,12 +144,23 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   facet.vars <- formula.tools::get.vars(facet.by)
   for (v in facet.vars) dt$strata <- gsub(
     paste0('(,\\s)?',v,'=.*(,\\s|$)'), '', dt$strata, perl=T)
-  plt <- if (all(dt$strata == ''))
-   ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
-  else
-    ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, fill=Event, color=strata))
-  plt +
-    geom_step(linewidth=1) +
-    ggsurvfit::theme_ggsurvfit_default() + facet
+  if (all(dt$strata == '')) plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
+  else if (!isFALSE(monochrome)) {
+    plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, linetype=strata, color=Event))
+    if (ci) plt <- plt +
+      ggsurvfit::stat_stepribbon(alpha=.5, linewidth=.2, fill='transparent')
+    plt <-  plt +
+      geom_step(linewidth=1) +
+      scale_color_manual(values=rep(if (isTRUE(monochrome)) 'black' else as.character(monochrome),2), guide=NULL)
+  }
+
+  else {
+    plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, linetype=Event, color=strata, fill=strata))
+    if (ci) plt <- plt +  ggsurvfit::stat_stepribbon(alpha=.3, color='transparent')
+    plt <- plt +  geom_step(linewidth=1) +
+      scale_linetype_manual(values=rep('solid',2), guides=NULL)
+  }
+
+  plt + ggsurvfit::theme_ggsurvfit_default() + facet
 
 }
diff --git a/man/gg_ajsurvplot2.Rd b/man/gg_ajsurvplot2.Rd
index cdb3d4c..ea9cc52 100644
--- a/man/gg_ajsurvplot2.Rd
+++ b/man/gg_ajsurvplot2.Rd
@@ -16,8 +16,9 @@ gg_ajsurvplot2(
   count,
   id,
   timefix,
-  ...,
-  .return_data = FALSE
+  ci = TRUE,
+  monochrome = FALSE,
+  ...
 )
 }
 \arguments{
@@ -31,9 +32,11 @@ gg_ajsurvplot2(
 
 \item{facet.by}{formula. default to all strata}
 
-\item{...}{optional parameters passed to \code{ggsurvplot}.}
+\item{ci}{[TRUE] Plot confidence band?}
 
-\item{.return_data}{[FALSE] if TRUE, get the data instead.}
+\item{monochrome}{[FALSE] plot in monochrome? either FALSE (default) or a string of color, TRUE is equivalent to "black"}
+
+\item{...}{other parameters passed to finegray (excluding etype)}
 }
 \description{
 Extend \link[ggsurvfit:ggsurvfit]{ggsurvfit} functionality to plot competing risk curve, with main risk and competing risk in one plot
diff --git a/man/tidy_competingevent.Rd b/man/tidy_competingevent.Rd
new file mode 100644
index 0000000..416c486
--- /dev/null
+++ b/man/tidy_competingevent.Rd
@@ -0,0 +1,37 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gg_ajsurvplot.R
+\name{tidy_competingevent}
+\alias{tidy_competingevent}
+\title{Tidy competing risk mstate survival fit.}
+\usage{
+tidy_competingevent(
+  formula,
+  data,
+  weights,
+  subset,
+  na.action,
+  main.event,
+  competing.event,
+  count,
+  id,
+  timefix,
+  ...
+)
+}
+\arguments{
+\item{formula}{A standard model formula, with survival on the left and covariates on the right}
+
+\item{data}{an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model}
+
+\item{weights, subset, na.action, , count, id, timefix}{parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},}
+
+\item{main.event, competing.event}{main and competing event to plot}
+
+\item{...}{other parameters passed to finegray (excluding etype)}
+}
+\value{
+a tibble
+}
+\description{
+This complements gg_ajurvplot2, provides the intermediate data for advanced ggplot manipulation
+}

From 72956ae92b006abb8a945eac0eff3e9a1e028361 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:17:22 +0700
Subject: [PATCH 178/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index a523df0..b402903 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -127,7 +127,10 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
 #' @export
 gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ci=TRUE, monochrome = FALSE, ...){
 
-  dt <- tidy_competingevent(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, ...)
+  gargs <- match.call()[-1]
+  gargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
+  gargs$facet.by <- gargs$ci <- gargs$monochrome <- NULL
+  dt <- do.call(tidy_competingevent(, gargs))
 
   # facet <- if (formula.tools::is.formula(facet.by)) if (length(formula.tools::lhs.vars(facet.by)))
     # facet_grid(facet.by) else facet_wrap(facet.by)

From 84d87f52100c738ed7a743ce24494f6d201a892f Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:19:34 +0700
Subject: [PATCH 179/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index b402903..ca02a9a 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -128,7 +128,7 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
 gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ci=TRUE, monochrome = FALSE, ...){
 
   gargs <- match.call()[-1]
-  gargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
+  gargs <- as.list(gargs[setdiff(names(gargs), names(dot))])
   gargs$facet.by <- gargs$ci <- gargs$monochrome <- NULL
   dt <- do.call(tidy_competingevent(, gargs))
 

From bf12d9c80a437e2740b5a06bc3f70335c4b2b361 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:37:59 +0700
Subject: [PATCH 180/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index ca02a9a..1cbd5ff 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -127,6 +127,7 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
 #' @export
 gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ci=TRUE, monochrome = FALSE, ...){
 
+  dot <- list(...)
   gargs <- match.call()[-1]
   gargs <- as.list(gargs[setdiff(names(gargs), names(dot))])
   gargs$facet.by <- gargs$ci <- gargs$monochrome <- NULL

From c300756d25775d0a24234d1e38bc254bd0ffde74 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:42:07 +0700
Subject: [PATCH 181/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 1cbd5ff..06a5a3d 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -131,7 +131,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   gargs <- match.call()[-1]
   gargs <- as.list(gargs[setdiff(names(gargs), names(dot))])
   gargs$facet.by <- gargs$ci <- gargs$monochrome <- NULL
-  dt <- do.call(tidy_competingevent(, gargs))
+  dt <- do.call(tidy_competingevent, gargs)
 
   # facet <- if (formula.tools::is.formula(facet.by)) if (length(formula.tools::lhs.vars(facet.by)))
     # facet_grid(facet.by) else facet_wrap(facet.by)

From 87eb358756016298f902d015c5bd73bdc0c2fbb6 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:46:39 +0700
Subject: [PATCH 182/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 06a5a3d..46dc547 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -162,7 +162,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
     plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, linetype=Event, color=strata, fill=strata))
     if (ci) plt <- plt +  ggsurvfit::stat_stepribbon(alpha=.3, color='transparent')
     plt <- plt +  geom_step(linewidth=1) +
-      scale_linetype_manual(values=rep('solid',2), guides=NULL)
+      scale_linetype_manual(values=rep('solid',2), guide=NULL)
   }
 
   plt + ggsurvfit::theme_ggsurvfit_default() + facet

From 1bcd2204b12ec0bfd0677858b040b2f5f0e55117 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:58:36 +0700
Subject: [PATCH 183/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 46dc547..3c13866 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -146,8 +146,10 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
     )
   # browser()
   facet.vars <- formula.tools::get.vars(facet.by)
-  for (v in facet.vars) dt$strata <- gsub(
-    paste0('(,\\s)?',v,'=.*(,\\s|$)'), '', dt$strata, perl=T)
+  for (v in facet.vars) dt$strata <-
+    sapply(strsplit(as.character(dt$strata), ', '),
+           function(x) subset(x, !grepl(paste0(v,'='), x, fixed=TRUE))|>paste(collapse=', '))
+
   if (all(dt$strata == '')) plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
   else if (!isFALSE(monochrome)) {
     plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, linetype=strata, color=Event))

From 57ab9015762e78cad7e41c25f804f8f03b441b37 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Fri, 26 Jul 2024 18:01:34 +0700
Subject: [PATCH 184/193] Update gg_ajsurvplot.R

---
 R/gg_ajsurvplot.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 3c13866..105d635 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -148,7 +148,7 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
   facet.vars <- formula.tools::get.vars(facet.by)
   for (v in facet.vars) dt$strata <-
     sapply(strsplit(as.character(dt$strata), ', '),
-           function(x) subset(x, !grepl(paste0(v,'='), x, fixed=TRUE))|>paste(collapse=', '))
+           function(x) x[!grepl(paste0(v,'='), x, fixed=TRUE)]|>paste(collapse=', '))
 
   if (all(dt$strata == '')) plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, group=Event))
   else if (!isFALSE(monochrome)) {

From 7f7e8fcec315c59d1f91e1c8f5922858991c3a12 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 5 Aug 2024 14:46:41 +0700
Subject: [PATCH 185/193] fix bug of ss_flextable that happens when header row
 ==1

---
 R/ssformat.R | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/R/ssformat.R b/R/ssformat.R
index ce08aa0..a7b91cd 100644
--- a/R/ssformat.R
+++ b/R/ssformat.R
@@ -47,7 +47,7 @@ ss_template <- function(sstable, template =  c('baseline', 'survcomp', 'ae')){
 #' @export
 ss_header <- function(sstable, rows) {
   sstable <- ss_legit(sstable)
-  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  if (!length(rownames(sstable))) rownames(sstable) <- seq_len(nrow(sstable))
   rownames(sstable)[rows] <- paste("header", seq_along(rows), sep=".")
   ss_table <- ss_template(sstable, template = NA)
   sstable
@@ -62,7 +62,7 @@ ss_header <- function(sstable, rows) {
 #' @export
 ss_body <- function(sstable, rows){
   sstable <- ss_legit(sstable)
-  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  if (!length(rownames(sstable))) rownames(sstable) <- seq_len(nrow(sstable))
   rownames(sstable)[rows] <- paste("body", seq_along(rows), sep=".")
   ss_table <- ss_template(sstable, template = NA)
   sstable
@@ -77,7 +77,7 @@ ss_body <- function(sstable, rows){
 #' @export
 ss_section <- function(sstable, rows){
   sstable <- ss_legit(sstable)
-  if (!length(rownames(sstable))) rownames(sstable) <- 1:nrow(sstable)
+  if (!length(rownames(sstable))) rownames(sstable) <- seq_len(nrow(sstable))
   rownames(sstable)[rows] <- paste("section", seq_along(rows), sep=".")
   ss_table <- ss_template(sstable, template = NA)
   sstable
@@ -134,7 +134,7 @@ ss_guess_format <- function(sstable){
 }
 
 ss_guess_format.default <- function(sstable){
-  guess <- sapply(1:nrow(sstable),
+  guess <- sapply(seq_len(nrow(sstable)),
                   function(i){
                     r <- sstable[i,]
                     if (isTRUE(grepl("header", rownames(sstable)[i]))) return("header")
@@ -146,7 +146,7 @@ ss_guess_format.default <- function(sstable){
 }
 
 ss_guess_format.ae_tbl <- function(sstable){
-  guess <- sapply(1:nrow(sstable),
+  guess <- sapply(seq_len(nrow(sstable)),
                   function(i){
                     if (i <= 2) return('header')
                     r <- sstable[i, ]
@@ -221,8 +221,8 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
       lapply(seq_along(header),
              function(i){
                h <- ss.header[i, ]
-               if (col.even) col <- 2:(ncol(sstable)-1)
-               else col <- 2:ncol(sstable)
+               if (col.even) col <- seq_len((ncol(sstable)-1))[-1]
+               else col <- seq_len(ncol(sstable))[-1]
                right_fill <- h[[max(col)]] != "" & h[[1]] == ""
 
                h <- sapply(seq_along(h),
@@ -238,7 +238,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
                         }
                         return(h[[j]])
                       })
-               names(h) <- paste0('V',1:ncol(sstable))
+               names(h) <- paste0('V',seq_len(ncol(sstable)))
                return(h)
              }
     )
@@ -254,13 +254,13 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
     for (i in seq_along(ss.header2)[-1])
       ft <- flextable::add_header_row(ft, values = ss.header2[[i]], top = F)
 
-  ft <- flextable::merge_h(ft, i = 1:(length(ss.header2)-1), part = "header")
+  ft <- flextable::merge_h(ft, i = seq_len(length(ss.header2)-1), part = "header")
   ft <- flextable::merge_v(ft, part = "header")
 
   ## footer format
   for (k in (seq_along(footer))) {
     ft <- flextable::add_footer(ft, V1 = footer[k], top = FALSE)
-    ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = "footer")
+    ft <- flextable::merge_at(ft, i = k, j = seq_len(ncol(sstable)), part = "footer")
   }
 
   ## section format
@@ -268,7 +268,7 @@ ss_flextable.default <- function(sstable, footer = NULL, bg = "#F2EFEE", ...){
 
     ### merging cells that from the left if the whole row is empty
     if (all(sstable[k, -1] == '') %in% TRUE)
-      ft <- flextable::merge_at(ft, i = k, j = 1:ncol(sstable), part = 'body')
+      ft <- flextable::merge_at(ft, i = k, j = seq_len(ncol(sstable)), part = 'body')
     else ft <- flextable::merge_h(ft, i = k , part = 'body')
 
     ft <- flextable::bold(ft, i = k-length(header), j = 1, part = 'body')
@@ -293,7 +293,7 @@ ft_sstheme <- function(ft, bg = "#F2EFEE"){
   ### faces of header
   ft <- flextable::bold(ft, part = "header")
    ### background
-  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(ft$body$dataset), by = 2), j = 1:ncol(ft$body$dataset),
+  ft <- flextable::bg(ft, i = seq(from = 1, to = nrow(ft$body$dataset), by = 2), j = seq_len(ncol(ft$body$dataset)),
                       bg = bg, part = "body")
   ### border
   tabbd <- officer::fp_border(color="black", width = 1.5)
@@ -419,7 +419,7 @@ ss_huxtable.default <- function(sstable, footer = NULL,
     }
   }
   # merge rows that have same values
-  for (i in 1:ncol(sstable)){
+  for (i in seq_len(ncol(sstable))){
     which.start <- 1
     for (j in seq_along(ss.header2)){
       if (j > 1){
@@ -518,7 +518,7 @@ ht_theme_kable <- function(ht, header_rows = 1:2, header_cols = NULL,
 
   for (header_row in header_rows){
     huxtable::bold(ht)[header_row, ] <- TRUE
-    for (col in 1:ncol(ht)){
+    for (col in seq_len(ncol(ht))){
       if (!is.na(ht[header_row, col]) & stringr::str_trim(ht[header_row, col]) != ''){
         huxtable::bottom_border(ht)[header_row, col] <- border_width
       }

From ac42c6a3f92931066371c7c7373a08ef4a9250e7 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Thu, 8 Aug 2024 14:21:51 +0700
Subject: [PATCH 186/193] add overlaid type ajsurvplot

---
 R/gg_ajsurvplot.R          | 18 ++++++++++++------
 R/group_effect.R           |  2 +-
 man/gg_ajsurvplot2.Rd      |  3 +++
 man/tidy_competingevent.Rd |  3 +++
 4 files changed, 19 insertions(+), 7 deletions(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 105d635..74efda4 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -81,14 +81,15 @@ tidy_survfit2 <- function(x, times=NULL, type='survival'){
 #' @param data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model
 #' @param weights,subset,na.action,,count,id,timefix parameter passed to finegray model. See \code{\link[survival:finegray]{finegray}},
 #' @param main.event,competing.event main and competing event to plot
+#' @param tidy_types [c(main='risk', competing='survival')] summarisiation for main and competing events
 #' @param ... other parameters passed to finegray (excluding etype)
 #' @return a tibble
 #' @export
-tidy_competingevent <- function(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, ...){
+tidy_competingevent <- function(formula, data, weights, subset, na.action, main.event, competing.event, count, id, timefix, tidy_types, ...){
   dot <- list(...)
   fgargs <- match.call()[-1]
   fgargs <- as.list(fgargs[setdiff(names(fgargs), names(dot))])
-
+  fgargs$tidy_types <- NULL
   etypes <- with(fgargs, list(main.event, competing.event))
   fgargs.each <- lapply(etypes, function(etype) {
     new.arg <- fgargs
@@ -96,7 +97,7 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
     new.arg$main.event <- new.arg$competing.event <- NULL
     new.arg
   })
-
+  if(!names(tidy_types)) names(tidy_types) <- c('main', 'competing')
   fg1 <- do.call(survival::finegray, fgargs.each[[1]])
   fg2 <- do.call(survival::finegray, fgargs.each[[2]])
   # browser()
@@ -105,8 +106,8 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
   sf1 <- eval(substitute(survival::survfit(fml, data = fg1,  weights=fgwt), list(fml=fml)))
   sf2 <- eval(substitute(survival::survfit(fml, data = fg2,  weights=fgwt), list(fml=fml)))
 
-  tidy1 <- tidy_survfit2(sf1, type='risk') |> mutate(Event = main.event)
-  tidy2 <- tidy_survfit2(sf2, type='survival') |> mutate(Event = competing.event)
+  tidy1 <- tidy_survfit2(sf1, type=tidy_types[['main']]) |> mutate(Event = main.event)
+  tidy2 <- tidy_survfit2(sf2, type=tidy_types[['competing']]) |> mutate(Event = competing.event)
 
   rbind(tidy1, tidy2) |> tibble::as_tibble()
 }
@@ -122,15 +123,20 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
 #' @param facet.by formula. default to all strata
 #' @param ci [TRUE] Plot confidence band?
 #' @param monochrome [FALSE] plot in monochrome? either FALSE (default) or a string of color, TRUE is equivalent to "black"
+#' @param type ['alternate'] plot in alternative or overlaid style?
 #' @param ... other parameters passed to finegray (excluding etype)
 #' @import ggplot2
 #' @export
-gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ci=TRUE, monochrome = FALSE, ...){
+gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event, competing.event, facet.by = ~strata, count, id, timefix, ci=TRUE, monochrome = FALSE, type=c('alternate', 'overlaid'), ...){
 
   dot <- list(...)
   gargs <- match.call()[-1]
   gargs <- as.list(gargs[setdiff(names(gargs), names(dot))])
   gargs$facet.by <- gargs$ci <- gargs$monochrome <- NULL
+  type = match.arg(type)
+  gargs$tidy_type <- c(main='risk', competing='survival')
+  if (type == 'overlaid') gargs$tidy_type[['competing']] <- 'risk'
+
   dt <- do.call(tidy_competingevent, gargs)
 
   # facet <- if (formula.tools::is.formula(facet.by)) if (length(formula.tools::lhs.vars(facet.by)))
diff --git a/R/group_effect.R b/R/group_effect.R
index b9d8dcf..f6baec4 100644
--- a/R/group_effect.R
+++ b/R/group_effect.R
@@ -226,7 +226,7 @@ print.subgroup_logist_summary <- function(x, ...){
 #' @return
 #' If x is a simplified subgroup_logist_summary (aka a data.frame), return itself. Otherwise, a transposed list of class subgroup_logist_summary
 #' @seealso \link{t}
-#' @S3method t subgroup_logist_summary 
+#' @method t subgroup_logist_summary
 #' @author Trinh Dong Huu Khanh
 #' @export
 #' @examples
diff --git a/man/gg_ajsurvplot2.Rd b/man/gg_ajsurvplot2.Rd
index ea9cc52..b16a2c6 100644
--- a/man/gg_ajsurvplot2.Rd
+++ b/man/gg_ajsurvplot2.Rd
@@ -18,6 +18,7 @@ gg_ajsurvplot2(
   timefix,
   ci = TRUE,
   monochrome = FALSE,
+  type = c("alternate", "overlaid"),
   ...
 )
 }
@@ -36,6 +37,8 @@ gg_ajsurvplot2(
 
 \item{monochrome}{[FALSE] plot in monochrome? either FALSE (default) or a string of color, TRUE is equivalent to "black"}
 
+\item{type}{['alternate'] plot in alternative or overlaid style?}
+
 \item{...}{other parameters passed to finegray (excluding etype)}
 }
 \description{
diff --git a/man/tidy_competingevent.Rd b/man/tidy_competingevent.Rd
index 416c486..6796826 100644
--- a/man/tidy_competingevent.Rd
+++ b/man/tidy_competingevent.Rd
@@ -15,6 +15,7 @@ tidy_competingevent(
   count,
   id,
   timefix,
+  tidy_types,
   ...
 )
 }
@@ -27,6 +28,8 @@ tidy_competingevent(
 
 \item{main.event, competing.event}{main and competing event to plot}
 
+\item{tidy_types}{[c(main='risk', competing='survival')] summarisiation for main and competing events}
+
 \item{...}{other parameters passed to finegray (excluding etype)}
 }
 \value{

From d9632ccc260dc1e9c95762dc6e853f45f883b26e Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Thu, 8 Aug 2024 14:31:21 +0700
Subject: [PATCH 187/193] fix small bugs

---
 R/gg_ajsurvplot.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index 74efda4..d1f91f9 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -97,7 +97,7 @@ tidy_competingevent <- function(formula, data, weights, subset, na.action, main.
     new.arg$main.event <- new.arg$competing.event <- NULL
     new.arg
   })
-  if(!names(tidy_types)) names(tidy_types) <- c('main', 'competing')
+  if(is.null(names(tidy_types))) names(tidy_types) <- c('main', 'competing')
   fg1 <- do.call(survival::finegray, fgargs.each[[1]])
   fg2 <- do.call(survival::finegray, fgargs.each[[2]])
   # browser()

From 6dcc0cf8d982dea31d793a11b25a01fae78da9b3 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 12 Aug 2024 12:14:45 +0700
Subject: [PATCH 188/193] update non-facetted ajsurvplot

---
 R/gg_ajsurvplot.R | 28 ++++++++++++++++++----------
 1 file changed, 18 insertions(+), 10 deletions(-)

diff --git a/R/gg_ajsurvplot.R b/R/gg_ajsurvplot.R
index d1f91f9..ba91dca 100644
--- a/R/gg_ajsurvplot.R
+++ b/R/gg_ajsurvplot.R
@@ -141,17 +141,25 @@ gg_ajsurvplot2 <- function(formula, data, weights, subset, na.action, main.event
 
   # facet <- if (formula.tools::is.formula(facet.by)) if (length(formula.tools::lhs.vars(facet.by)))
     # facet_grid(facet.by) else facet_wrap(facet.by)
-  facet <- if (!is.null(facet.by))
-    if (length(formula.tools::lhs.vars(facet.by))) facet_grid(facet.by) else facet_wrap(facet.by)
-
-  if (is.null(facet.by))
-    return(
-      ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, fill=Event, color=strata)) +
-        geom_step(linewidth=1) +
-        ggsurvfit::theme_ggsurvfit_default()
-    )
+
+  # if (is.null(facet.by))
+  # {
+  #   plt <- ggplot(dt,aes(x=time, y=estimate, ymin=conf.low, ymax=conf.high, linetype=Event, color=strata, fill=strata)) +
+  #     geom_step(linewidth=1)
+  #
+  #     if (ci) plt <- plt +  ggsurvfit::stat_stepribbon(alpha=.3, color='transparent')
+  #     plt <- plt + ggsurvfit::theme_ggsurvfit_default()
+  #     return(plt)
+  # }
+
   # browser()
-  facet.vars <- formula.tools::get.vars(facet.by)
+  facet <- facet.vars <- NULL
+  if (!is.null(facet.by)){
+    facet <-
+      if (length(formula.tools::lhs.vars(facet.by))) facet_grid(facet.by) else facet_wrap(facet.by)
+    facet.vars <- formula.tools::get.vars(facet.by)
+  }
+
   for (v in facet.vars) dt$strata <-
     sapply(strsplit(as.character(dt$strata), ', '),
            function(x) x[!grepl(paste0(v,'='), x, fixed=TRUE)]|>paste(collapse=', '))

From 3ca1c960aa9e8ab77605b8e78dea78026778c584 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 19 Aug 2024 15:33:06 +0700
Subject: [PATCH 189/193] Update sstable.R

---
 R/sstable.R | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 01980cf..edd6b5a 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1526,7 +1526,7 @@ sstable.ae <- function(ae_data, fullid_data, group_data = NULL, id.var,
 #'
 #' @param model a formula which can be used to fit the survival model. This formula can include other covariates than arm BUT arm must be the first covariate in the model.
 #' @param data a data frame to fit the survival model.
-#' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk") at time "infinity" should be displayed.
+#' @param add.risk [\code{TRUE}] a logical value specifies whether the event probability ("absolute risk")
 #' @param time [\code{Inf}] the truncation time, affecting the descriptive and the RMST model, set to \code{Inf} to perform analyses at maximum time available
 #' (minimax of the observed time across two arms in RMST model)
 #' @param reference.arm [\code{B}] reference arm, default to the second arm ("B"), change to "A" for base on the first arm
@@ -1678,9 +1678,10 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
   n.event <- if (ms) fit.surv$n.event[,this_cause] else fit.surv$n.event
   events.n <- paste(n.event, fit.surv$n, sep = "/")
   if (add.risk) {
-    cumhaz <- if (ms) fit.surv$cumhaz[, this_cause-1] else fit.surv$cumhaz
+    # cumhaz <- if (ms) fit.surv$cumhaz[, this_cause-1] else fit.surv$cumhaz
+    risk <- n.event / with(fit.surv, n.event+n.risk+n.censor)
     events.n <- paste(events.n,
-                      " (", formatC(100*(cumhaz), digits, format = "f"), ")", sep="")
+                      " (", formatC(100*(risk), digits, format = "f"), ")", sep="")
   }
   idx <- which(arm.names %in% unique(data[, arm.var]))
   result[3, 1:length(arm.names)] <- rep("-", length(arm.names))

From d3a99414ec53460b624678cdf1f9be5a5f942e3d Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 19 Aug 2024 16:18:20 +0700
Subject: [PATCH 190/193] fix abs.risk in survcomp

---
 R/sstable.R | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index edd6b5a..3606274 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1679,7 +1679,9 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
   events.n <- paste(n.event, fit.surv$n, sep = "/")
   if (add.risk) {
     # cumhaz <- if (ms) fit.surv$cumhaz[, this_cause-1] else fit.surv$cumhaz
-    risk <- n.event / with(fit.surv, n.event+n.risk+n.censor)
+    risk <- if (ms)
+      n.event / with(fit.surv, n.event[,this_cause]+n.risk[,this_cause]+n.censor[,this_cause]) else
+      n.event / with(fit.surv, n.event+n.risk+n.censor)
     events.n <- paste(events.n,
                       " (", formatC(100*(risk), digits, format = "f"), ")", sep="")
   }

From 34fda87976e62ccc2d003822169b24d3492d5e79 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 19 Aug 2024 18:17:04 +0700
Subject: [PATCH 191/193] rsmt -> rmtl

---
 R/sstable.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/sstable.R b/R/sstable.R
index 3606274..451c41e 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1815,7 +1815,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
       fit.rmst <- do.call(fitter, compare.args)
       est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
       invlink <- fit.rmst$family$linkinv
-      if (type=='lost.diff') invlink <- function(x) -x # loss.diff=-diff
+      if (type=='diff') invlink <- function(x) -x # loss.diff=-diff
       diff <- formatC(invlink(est), digits, format = "f")
 
       result[3, length(arm.names) + 1] <-

From 679ca6bc42942e8fd1874d365bc075628c3b5aae Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Mon, 19 Aug 2024 19:13:25 +0700
Subject: [PATCH 192/193] fix RMST RMTL confusion

---
 R/sstable.R | 16 +++++++++++++---
 1 file changed, 13 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 451c41e..586b621 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1775,7 +1775,11 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
       compare.args$data <- data
       type <- if (is.null(compare.args$type)) 'diff' else compare.args$type
       compare.args$type <- NULL
-      compare.args$link <- switch(type, "diff" = 'identity', "ratio" = 'log', 'lost.ratio' = 'log')
+      compare.args$link <- switch(type,
+                                  "lost.diff" = 'identity',
+                                  "diff" = 'identity',
+                                  "ratio" = 'log',
+                                  'lost.ratio' = 'log')
       if (is.null(compare.args$model.censoring)) compare.args$model.censoring <- 'stratified'
       if (is.null(compare.args$formula.censoring)) compare.args$formula.censoring <- as.formula(paste0("~`", arm.var, '`'))
       # Extract the time from Surv object with the arm included
@@ -1797,7 +1801,7 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
       }
       # If type == lost.ratio then reverse the time
       # i.e. Surv(tau - ev_time, ev) ~ .
-      if (type == 'lost.ratio') {
+      if (type == 'lost.ratio' && !ms) {
         if (compare.method == 'cuminc') stop('type lost.ratio is meaningless in cuminc comparison.')
         model.lhs <- formula.tools::lhs(model)
         for (i in 2:(length(model.lhs)-1)) {
@@ -1809,13 +1813,19 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
         compare.args$formula <- model
       }
 
+      if (type=='ratio' && ms) {
+        stop('Don\'t know how to quantify RMST ratio for competing risks. See ?rmeanglm for more details.')
+      }
+
       # Perform rmeanglm
       # rmeanglm <- eventglm::rmeanglm
       fitter <- if (compare.method == 'rmst') eventglm::rmeanglm else eventglm::cumincglm
       fit.rmst <- do.call(fitter, compare.args)
       est <- coef(fit.rmst)[2:(length(arm.names))] # get the coef for arm
       invlink <- fit.rmst$family$linkinv
-      if (type=='diff') invlink <- function(x) -x # loss.diff=-diff
+      # i don't know why but rmeanglm decides to quantify RMST for non-ms and
+      # RMTL for ms models.
+      if ((type=='diff' && ms)|(type=='lost.diff'&&!ms)) invlink <- function(x) -x # loss.diff=-diff
       diff <- formatC(invlink(est), digits, format = "f")
 
       result[3, length(arm.names) + 1] <-

From d7ee5b8f5c6267f2f0eb9b28ad48373671348aa2 Mon Sep 17 00:00:00 2001
From: Trinh Dong <46802143+trinhdhk@users.noreply.github.com>
Date: Wed, 28 Aug 2024 10:51:54 +0700
Subject: [PATCH 193/193] fix risk table in surv_comp

---
 R/sstable.R | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/R/sstable.R b/R/sstable.R
index 586b621..4223a65 100644
--- a/R/sstable.R
+++ b/R/sstable.R
@@ -1679,9 +1679,10 @@ If you are running this in survcomp.subgroup, perhaps in one subgroup an event d
   events.n <- paste(n.event, fit.surv$n, sep = "/")
   if (add.risk) {
     # cumhaz <- if (ms) fit.surv$cumhaz[, this_cause-1] else fit.surv$cumhaz
-    risk <- if (ms)
-      n.event / with(fit.surv, n.event[,this_cause]+n.risk[,this_cause]+n.censor[,this_cause]) else
-      n.event / with(fit.surv, n.event+n.risk+n.censor)
+    # risk <- if (ms)
+    #   n.event / with(fit.surv, n.event[,this_cause]+n.risk[,this_cause]+n.censor[,this_cause]) else
+    #   n.event / with(fit.surv, n.event+n.risk+n.censor)
+    risk <- n.event / fit.surv$n
     events.n <- paste(events.n,
                       " (", formatC(100*(risk), digits, format = "f"), ")", sep="")
   }