Need to create d.rnd

[fleurzeldenrust]

Dear Freeman Lab,

Thank you for sharing the code! Just to see whether I am using it right, I'm (re)analyzing a bit of the original Peron-data, available at https://crcns.org/data-sets/ssc .

I was doing something like this:
`
%% Load data
load('../../an229719_2013_12_02_session.mat')
volume = 4;

trialvec = unique(s.timeSeriesArrayHash.value{volume}.trial);
Ntrial = length(trialvec);
[Nneuron, ~] = size(s.timeSeriesArrayHash.value{volume}.valueMatrix);

whiskermat = zeros(2,10000,Ntrial);
luminesmat = zeros(Nneuron,200,Ntrial);
nllmax = 0;
nwlmax = 0;
validvec = ones(size(trialvec));
for nt = 1:Ntrial
whiskernvec = find(s.timeSeriesArrayHash.value{1}.trial == trialvec(nt));
nwl = length(whiskernvec);
if nwl>nwlmax
nwlmax = length(whiskernvec);
end
if isempty(whiskernvec)
% trial not valid; no whisker data
validvec(nt)=0;
else
luminesnvec = find(s.timeSeriesArrayHash.value{volume}.trial == trialvec(nt));
nll = length(luminesnvec);
if nll>nllmax
nllmax = length(luminesnvec);
end
whiskermat(:,1:nwl,nt) = s.timeSeriesArrayHash.value{1}.valueMatrix(:,whiskernvec);
luminesmat(:,1:nll,nt) = s.timeSeriesArrayHash.value{volume}.valueMatrix(:,luminesnvec);
end
end
Ntrial = sum(validvec);
whiskermat = whiskermat(:,1:nwlmax,validvec == 1);
luminesmat = luminesmat(:,1:nllmax,validvec == 1);

%% Make input structure IPS
IPS.t = nllmax; % time points per trial
IPS.k = Ntrial; % number of trials (can be 1 if no trial structure)
IPS.u = (s.timeSeriesArrayHash.value{volume}.time(2)-s.timeSeriesArrayHash.value{volume}.time(1))/(s.timeSeriesArrayHash.value{1}.time(2)-s.timeSeriesArrayHash.value{1}.time(1));
IPS.c = 2; % number of stimuli (or behavioral variables)
IPS.samp = 'up'; % temporal sampling of stimulus / response ('same" or 'up')
IPS.S_ctk = whiskermat; % matrix of stimuli / behaviors x time points x trials
IPS.R_ntk = luminesmat; % matrix neurons x time points x trials

%% Fit cascade models

fit = fitInit(IPS,'NL','loglik',20);
IPS = prepareStim(IPS,fit);
[train test] = prepareRoi(IPS,fit,1);
fit = fitDo(train,test,fit);
`

However, I get the following error:

Reference to non-existent field 'rnd'.
Error in fitInit (line 24)
fit.rnd.n = d.rnd.n;

Apparently, my 'IPS' needs a field rnd. What is this field?