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detail_analysis.m
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detail_analysis.m
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ccc
sub_nums = {'000', '001', '002', '003', '004', '005', '006', '007',...
'008', '009', '010', '011', '012'};
nsubs = length(sub_nums);
%% Accuracy
figure('Position',[25,25,1000,1000]);
widthHeight = ceil(sqrt(nsubs));
for i_sub = 1:nsubs
current_sub = sub_nums{i_sub};
%Find output filename
Filename = dir(['.\Data\' current_sub '*']);
% Save data
load(['.\Data\' Filename.name]);
if i_sub == 1 % make output variables here once loaded first file
turn_group = zeros(nsubs,length(soas));
control_group = zeros(nsubs,length(soas));
end
% Plot results
subplot(widthHeight,widthHeight,i_sub);
plot(soas,turn_out,'r',soas,control_out,'b');
legend({'Flexion','Control'});
xlim([min(soas) max(soas)]);
set(gca,'XTick',min(soas):1:max(soas))
xlabel('Gabor First < -- SOA (frames) -- > Gabor After')
ylabel('Detection Proportion')
ylim([.01 1.05])
title(current_sub)
turn_group(i_sub,:) = turn_out;
control_group(i_sub,:) = control_out;
isoa = 0;
for this_soa = soas
isoa = isoa + 1;
temp_turn = out_RT(out_soa == this_soa & responded & turn_trials);
turn_outRT(isoa) = mean(temp_turn);
temp_cont = out_RT(out_soa == this_soa & responded & control_trials);
control_out(isoa) = mean(temp_cont);
clear temp_turn temp_cont
end
end
% Plot Grand Average results
figure;
boundedline(soas, mean(turn_group,1), std(turn_group,[],1) / sqrt(nsubs),'r', ...
soas, mean(control_group,1), std(control_group,[],1) / sqrt(nsubs),'b');
legend({'Flexion','Control'});
xlim([min(soas) max(soas)]);
set(gca,'XTick',min(soas):1:max(soas))
xlabel('Gabor Change First < ------ SOA (frames) ------ > Gabor Change After')
ylabel('Detection Proportion')
ylim([.01 1.05])
title('Grand Average')
%% RT
figure('Position',[25,25,1000,1000]);
widthHeight = ceil(sqrt(nsubs));
for i_sub = 1:nsubs
current_sub = sub_nums{i_sub};
%Find output filename
Filename = dir(['.\Data\' current_sub '*']);
% Save data
load(['.\Data\' Filename.name]);
if i_sub == 1 % make output variables here once loaded first file
turn_groupRT = zeros(nsubs,length(soas));
control_groupRT = zeros(nsubs,length(soas));
end
isoa = 0;
for this_soa = soas
isoa = isoa + 1;
temp_turn = out_RT(out_soa == this_soa & responded & turn_trials);
turn_outRT(isoa) = mean(temp_turn);
temp_cont = out_RT(out_soa == this_soa & responded & control_trials);
control_outRT(isoa) = mean(temp_cont);
clear temp_turn temp_cont
end
% Plot results
subplot(widthHeight,widthHeight,i_sub);
plot(soas,turn_outRT,'r',soas,control_outRT,'b');
legend({'Flexion','Control'});
xlim([min(soas) max(soas)]);
set(gca,'XTick',min(soas):1:max(soas))
xlabel('Gabor First < -- SOA (frames) -- > Gabor After')
ylabel('Reaction Time')
ylim([.4 1.8])
title(current_sub)
turn_groupRT(i_sub,:) = turn_outRT;
control_groupRT(i_sub,:) = control_outRT;
end
% Plot Grand Average results
figure;
boundedline(soas, mean(turn_groupRT,1), std(turn_groupRT,[],1) / sqrt(nsubs),'r', ...
soas, mean(control_groupRT,1), std(control_groupRT,[],1) / sqrt(nsubs),'b');
legend({'Flexion','Control'});
xlim([min(soas) max(soas)]);
set(gca,'XTick',min(soas):1:max(soas))
xlabel('Gabor Change First < ------ SOA (frames) ------ > Gabor Change After')
ylabel('Reaction Time')
% ylim([.01 1.05])
title('Grand Average')
%% Accuracy by angle
%out_angle: 270 left, 90 Right, 0 straight
figure('Position',[25,25,1000,1000]);
widthHeight = ceil(sqrt(nsubs));
for i_sub = 1:nsubs
current_sub = sub_nums{i_sub};
%Find output filename
Filename = dir(['.\Data\' current_sub '*']);
% Save data
load(['.\Data\' Filename.name]);
if i_sub == 1 % make output variables here once loaded first file
turn_groupL = zeros(nsubs,length(soas));
turn_groupR = zeros(nsubs,length(soas));
control_group = zeros(nsubs,length(soas));
end
isoa = 0;
for this_soa = soas
isoa = isoa + 1;
temp_turn = out_accuracy(out_soa == this_soa & out_angle == 270 & responded & turn_trials);
turn_outL(isoa) = sum(temp_turn)/length(temp_turn);
clear temp_turn
temp_turn = out_accuracy(out_soa == this_soa & out_angle == 90 & responded & turn_trials);
turn_outR(isoa) = sum(temp_turn)/length(temp_turn);
temp_cont = out_accuracy(out_soa == this_soa & responded & control_trials);
control_out(isoa) = sum(temp_cont)/length(temp_cont);
clear temp_turn temp_cont
end
% Plot results
subplot(widthHeight,widthHeight,i_sub);
plot(soas,turn_outL,'r',soas,turn_outR,'g',soas,control_out,'b');
legend({'FlexionL','FlexionR','Control'});
xlim([min(soas) max(soas)]);
set(gca,'XTick',min(soas):1:max(soas))
xlabel('Gabor First < -- SOA (frames) -- > Gabor After')
ylabel('Detection Proportion')
ylim([.01 1.05])
title(current_sub)
turn_groupL(i_sub,:) = turn_outL;
turn_groupR(i_sub,:) = turn_outR;
control_group(i_sub,:) = control_out;
end
% Plot Grand Average results
figure;
boundedline(soas, mean(turn_groupL,1), std(turn_groupL,[],1) / sqrt(nsubs),'r',...
soas, mean(turn_groupR,1), std(turn_groupR,[],1) / sqrt(nsubs),'g',...
soas, mean(control_group,1), std(control_group,[],1) / sqrt(nsubs),'b');
legend({'FlexionL','FlexionR','Control'});
xlim([min(soas) max(soas)]);
set(gca,'XTick',min(soas):1:max(soas))
xlabel('Gabor Change First < ------ SOA (frames) ------ > Gabor Change After')
ylabel('Detection Proportion')
ylim([.01 1.05])
title('Grand Average')