For loop overwriting data
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Hello,
I have this code below:
clear all;
names= {'AB_Clean','AK_Clean'};
data=[];
for iSubj=1:numel(names)
filetoload= names{iSubj};
t = readtable([filetoload '.xls']);
data.id = num2str (iSubj);
response = mod(t.MouseClickAngleToCenter,180);
condition = mod(t.Condition,180);
target = mod(t.CenterPackmanOriantation,180);
for i=1:length(response)
A=str2num(t.SurroundingPackmansRotations_tl_bl_tr_br_{i});
if ~isempty(A)
distractors_local(i,:) = mod(A,180);
else
distractors_local(i,:) = [nan nan nan nan];
end
end
distractors_global = mod(t.PackmansRectangleRotation+90,180); %Original analysis
%distractors_global = mod(t.PackmansRectangleRotation,180);%New collinearity analysis
errors = circdist(response,target);
errors(errors>90) = errors(errors>90) -180;
errors(errors<-90) = errors(errors<-90) +180;
distractors1 = circdist(distractors_global,target);
distractors4 = circdist(distractors_local,target);
distractors1(distractors1>90) = distractors1(distractors1>90) -180;
distractors1(distractors1<-90) = distractors1(distractors1<-90) +180;
distractors4(distractors4>90) = distractors4(distractors4>90) -180;
distractors4(distractors4<-90) = distractors4(distractors4<-90) +180;
distractors4 = distractors4(:,1:2);
for c=unique(condition)'
data.errors = errors(condition==c)';
data.distractors = [distractors1(condition==c,:)'; distractors4(condition==c,[1 2])'];
end
end
I want the loop to go through the data of each participant (i.e AB_Clean and AK_Clean) and save the data.errors, data.distractors and data.id variables for each participant in the "data" struct. There is something missing in my code, since the variables are being overwritten every time the loop starts. Any help with this would be very much appreciated.
Thanks!
-Mikel
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采纳的回答
Walter Roberson
2021-8-8
clear all;
names= {'AB_Clean','AK_Clean'};
data = struct();
for iSubj=1:numel(names)
filetoload= names{iSubj};
t = readtable([filetoload '.xls']);
data(iSubj).id = num2str(iSubj);
response = mod(t.MouseClickAngleToCenter,180);
condition = mod(t.Condition,180);
target = mod(t.CenterPackmanOriantation,180);
for i=1:length(response)
A=str2num(t.SurroundingPackmansRotations_tl_bl_tr_br_{i});
if ~isempty(A)
distractors_local(i,:) = mod(A,180);
else
distractors_local(i,:) = [nan nan nan nan];
end
end
distractors_global = mod(t.PackmansRectangleRotation+90,180); %Original analysis
%distractors_global = mod(t.PackmansRectangleRotation,180);%New collinearity analysis
errors = circdist(response,target);
errors(errors>90) = errors(errors>90) -180;
errors(errors<-90) = errors(errors<-90) +180;
distractors1 = circdist(distractors_global,target);
distractors4 = circdist(distractors_local,target);
distractors1(distractors1>90) = distractors1(distractors1>90) -180;
distractors1(distractors1<-90) = distractors1(distractors1<-90) +180;
distractors4(distractors4>90) = distractors4(distractors4>90) -180;
distractors4(distractors4<-90) = distractors4(distractors4<-90) +180;
distractors4 = distractors4(:,1:2);
ucond = unique(condition).';
data(iSubj).conditions = ucond;
ncond = length(ucond);
data(iSubj).errors = cell(ncond,1);
data(iSubj).distractors = cell(ncond,1);
for cidx = 1 : ncond
c = ucond(cidx);
mask = condition==c;
data(iSubj).errors{cidx} = errors(mask)';
data(iSubj).distractors{cidx} = [distractors1(mask,:)'; distractors4(mask,[1 2])'];
end
end
Now data will be a struct array with the same length as the number of names.
There is a new field conditions to record the unique conditions.
The errors and distractors fields have been turned into cell arrays, with one entry for each unique condition for this subject.
I do this instead of just concatenating everything together because there are a variable number of matches for each condition, and if you were to concatenate them all together you would not be able to tell which entry matched to which condition.
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