In order to recreate the multiverse analysis, you will need to download
the German trial data de_trial_data.csv.gz using the semanticprimeR package
or directly from the online repository:
https://github.com/SemanticPriming/SPAML/releases/tag/v1.0.2
The slides do not need any extra materials to be recreated. Here is the session information for the analyses and slides:
> sessionInfo()
R version 4.5.2 (2025-10-31)
Platform: aarch64-apple-darwin20
Running under: macOS Tahoe 26.3
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: America/Chicago
tzcode source: internal
attached base packages:
[1] stats graphics grDevices
[4] utils datasets methods
[7] base
other attached packages:
[1] purrr_1.2.1 tidyr_1.3.2 dplyr_1.2.0
loaded via a namespace (and not attached):
[1] digest_0.6.39 R6_2.6.1
[3] fastmap_1.2.0 tidyselect_1.2.1
[5] xfun_0.56 magrittr_2.0.4
[7] glue_1.8.0 tibble_3.3.1
[9] knitr_1.51 pkgconfig_2.0.3
[11] htmltools_0.5.9 rmarkdown_2.30
[13] generics_0.1.4 lifecycle_1.0.5
[15] cli_3.6.5 grid_4.5.2
[17] vctrs_0.7.1 withr_3.0.2
[19] compiler_4.5.2 rstudioapi_0.18.0
[21] tools_4.5.2 pillar_1.11.1
[23] evaluate_1.0.5 yaml_2.3.12
[25] otel_0.2.0 rlang_1.1.7