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2_summarize_data_exp1,2.m
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2_summarize_data_exp1,2.m
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%Step 3: create matrix of data from Do_read_data script (.mat file)
clear all;
format compact
fs = filesep;
dir_data = 'PATH';
addpath(genpath([dir_data 'Exp1']))
addpath(genpath([dir_data 'Exp2']))
addpath(genpath([dir_data fs 'matlab']));
addpath(genpath([dir_data fs 'matlab' fs 'analysis']));
cd(dir_data)
% Exp1
subj = { 'ea02a' 'ea04a' 'ea05a' 'ea06a' 'ea07a' 'ea08a' 'ea09a' 'ea10a' ...
'ea11a' 'ea12a' 'ea13a' 'ea14a' 'ea15a' 'ea16a' 'ea17a' 'ea18a' 'ea19a' 'ea20a' ...
'ea21a' 'ea22a' 'ea23a' 'ea24a' 'ea25a' 'ea26a' 'ea28a' 'ea29a' 'ea30a' ...
'ea31a' 'ea32a' 'ea33a' 'ea34a' 'ea35a' 'ea36a' 'ea37a' 'ea38a'}; % excluded 27 - computer issue
% Exp2
subj = {'ea01b' 'ea02b' 'ea03b' 'ea04b' 'ea05b' 'ea06b' 'ea07b' 'ea08b' 'ea09b' 'ea10b' ...
'ea11b' 'ea12b' 'ea13b' 'ea14b' 'ea15b' 'ea16b' 'ea17b' 'ea18b' 'ea19b' 'ea20b' ...
'ea21b' 'ea22b' 'ea23b' 'ea24b' 'ea25b' 'ea26b' 'ea27b' 'ea28b' 'ea29b' 'ea30b' ...
'ea31b' 'ea32b' 'ea33b' 'ea34b' 'ea35b' 'ea36b' 'ea37b' 'ea38b'};
tw = [-3 7];
tshift = 3; % time between fixation and sound onset
do_delete = 1;
for s = 1 : length(subj)
outname = ['ps' fs subj{s} fs subj{s} 'raw.mat'];
if exist(outname,'file') & do_delete
delete(outname);
end
disp(['Starting: ' outname])
nn = 1;
[epochsP events] = deal([]);
for b = 1 : 4
%load data
data = load(['ps' fs subj{s} fs subj{s} num2str(b) '.mat']);
for i = 1 : size(data.events(:,1),1)
[~,ix] = min(abs(data.samples-data.events(i,1)));
tmp = tw*data.Sf + tshift*data.Sf;
tsamples = tmp(1) : 1 : tmp(2);
epochsP(nn,:) = data.pupil(ix+tsamples);
epochsX(nn,:) = data.x(ix+tsamples);
epochsY(nn,:) = data.y(ix+tsamples);
% time vector for epoch
t = tsamples/data.Sf-tshift;
events(nn,:) = data.events(i,:);
nn = nn + 1;
end
end
ixtmp = isnan(events(:,9));
events(ixtmp,8) = NaN;
results = [];
results.Sf = data.Sf;
results.t = t;
results.epochsP = epochsP;
results.epochsX = epochsX;
results.epochsY = epochsY;
results.events = events;
save(outname,'-struct','results')
end