Hi there,
For background, this analysis related to an experiment in which 12 participants done a auditory temporal bisection task in which they were represented auditory stimuli lasting from 300-700ms and had to judge if this stimuli was closer in duration to the long stimuli (lasting 700ms) or to the short one (lasting 300ms). I have the data from each participant in 12 separate mat files. I am meant to first fit a logistic function to ach datafile separately with this script:
function [bp,wf,plongs]=tb_script(filename)
%% RUN THE FUNCTION
% tb_script(filename) (e.g. 'ts_12.mat')
%% add path for toolbox (you need to change this!)
addpath /Users/anacc/Desktop/MATLAB/palamedes1_10_9/Palamedes
%% INPUTS
file=load('ts_1.mat');
data=file.data;
%% DATA PREPARATION
% identify the stimulus levels
stimlevels=unique(data(:,1));
% compute p(long) for each interval and number of trials
plong=zeros(1,size(stimlevels,1));
for i = 1:size(stimlevels,1)
temp=data(data(:,1)==stimlevels(i),:);
plong(1,i)=size(temp(temp(:,2)==2,:),1) / size(temp,1);
trials(1,i)=size(temp,1);
end
% compute the number of "long" responses at each interval
numpos=plong.*trials;
% compute the number of trials at each interval
outofnum=[ones(1,size(stimlevels,2)).*trials];
%% PSYCHOMETRIC FUNCTION FIT
% psychometric function type
PF=@PAL_Logistic;
% number of bootstraps
boot=1000;
% which parameters are free (1=free, 0=fixed)
paramsfree=[1 1 0 0];
% search grid for different parameters
searchgrid.alpha = [.300:005:.700];
searchgrid.beta = .01:.02:2;
searchgrid.gamma = 0;
searchgrid.lambda =0.1;
% fit psychometric function & compute values
paramsvalues = PAL_PFML_Fit(stimlevels',numpos,outofnum,searchgrid,paramsfree,PF);
% bisection point
fit75 = PAL_Logistic(paramsvalues, .75, 'Inverse');
fit25 = PAL_Logistic(paramsvalues, .25, 'Inverse');
bp = PAL_Logistic(paramsvalues, .5, 'Inverse');
wf=((fit75-fit25)/2)/bp;
% compute pdev
[dev pdev devsim converged] = PAL_PFML_GoodnessOfFit(stimlevels',numpos,outofnum,paramsvalues,paramsfree,boot,PF,'searchGrid',searchgrid);%'lapseLimits',[0 .3]);
%% PLOT
% p(long)
proplongdata=numpos./outofnum;
% psychometric function
stimlevelsfine=[min(stimlevels):(max(stimlevels)-min(stimlevels))./1000:max(stimlevels)];
fit=PF(paramsvalues,stimlevelsfine);
% plot plong
plot(stimlevels,proplongdata,'k.','markersize',20);
set(gca,'fontsize',12,'TickDir','out');
axis([.250 .750 0 1]);
xlabel('Stimulus duration (ms)')
ylabel('p(long)')
pbaspect([1 1 1])
box off
hold on
% plot logistic function
plot(stimlevelsfine,fit,'b-','linewidth',0.5);
hold off
%% PRINT
% present information in command window
% print values
bp=bp
wf=wf
pdev=pdev
plongs=proplongdata
----
I have gathered that I need to alter this bit:
%% INPUTS
file=load('ts_1.mat');
data=file.data;
according to the name of the datafile I want to analyse. So far, I have been doing 'ts_1.mat', then 'ts_2.mat' until number 12 (12 participants). However, this is the bit where I am stuck at. So, I am meant to run the script for each datafile separately and then save all the information which comes up in the command window. After that, I am meant to compare the 2 groups of participants (6 of them fit one group as they have Tourette’s syndrome and the other 6 fit the other group which does not have the condition) on the two dependent variables (that those with the condition will have an underestimation bias; and that they will also be prone to poorer temporal decision). I also know that the participants with Tourettes are 2, 3, 5, 7, 11, 12. Now, how am I meant to save the command window info in a way in which I can then analyse there two groups against one another on the 2 variables? Am I meant to save it independently, group it according to the group they belong to (create 2 data 'sets'), create just one data set? I thought that maybe I am meant to concatonate the data together, but now I am not sure anymore. And how exactly can I save it?
As you can see from this picture, this is the info that comes up in the command window for the datafile ts_1.mat after I ran the script. 
