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Fitting_Expe1.m
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Fitting_Expe1.m
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clear all
options = optimset('Algorithm', 'interior-point', 'Display', 'iter-detailed', 'MaxIter', 10000);
AlphaNumber = 4 ;
for nsub = 1:24
resultname=strcat('passymetrieI_Suj',num2str(nsub));
load(resultname);
data = NaN(length(M), 4) ;
for i = 1:length(M)
data(i,1) = M(i,6) + 1 ; % the stimuli selected (choice between stim A = best and stim B = worst)
data(i,2) = M(i,4)*(M(i,6)==1) + M(i,5)*(M(i,6)==0) ; % the factual outcome seen
data(i,3) = M(i,2) + 4*(M(i,1)-1) ; % the current block
data(i,4) = M(i,7) ; % whether the trial was free- of forced-choice.
end
if AlphaNumber == 2
[parameters(nsub,:),ll(nsub)] = fmincon(@(x) Model_2alpha_Expe1(x, data), [5 .5*ones(1,AlphaNumber)], ...
[],[],[],[], zeros(1,AlphaNumber+1), [Inf ones(1,AlphaNumber)],[], options);
elseif AlphaNumber == 3
[parameters(nsub,:),ll(nsub)] = fmincon(@(x) Model_3alpha_Expe1(x, data), [5 .5*ones(1,AlphaNumber)], ...
[],[],[],[], zeros(1,AlphaNumber+1), [Inf ones(1,AlphaNumber)],[], options);
elseif AlphaNumber == 4
[parameters(nsub,:),ll(nsub)] = fmincon(@(x) Model_4alpha_Expe1(x, data), [5 .5*ones(1,AlphaNumber)], ...
[],[],[],[], zeros(1,AlphaNumber+1), [Inf ones(1,AlphaNumber)],[], options);
elseif AlphaNumber == 0
[parameters(nsub,:),ll(nsub)] = fmincon(@(x) Model_1alphaPers_Expe1(x, data), [5 .5 .2], ...
[],[],[],[], zeros(1,3), [Inf 1 Inf],[], options);
end
end
N = length(find(data(:,4)==1)) ;
RL07 = SumUp_LLH_parameters(parameters, ll, N) ;
if AlphaNumber == 2
save SumUp2alphaExpe1 RL07
elseif AlphaNumber == 3
save SumUp3alphaExpe1 RL07
elseif AlphaNumber == 4
save SumUp4alphaExpe1 RL07
elseif AlphaNumber == 0
save SumUpPersExpe1 RL07
end