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Asked by Dave
on 30 Apr 2013

I currently have the for loop below. where NoS is the number of subjects and NoJ is the number of jumps.

NoS = 6 NoJ = 4 bars = NaN(NoS*NoJ,1); errors = NaN(NoS*NoJ,1);

for i=1:NoS*NoJ clear ave stdev ave = mean(data((i*NoJ)-3:(i*NoJ),3)); stdev = std(data((i*NoJ)-3:(i*NoJ),3)); bars(i) = ave; errors(i) = stdev; end

At the moment this imports the means and standard deviations straight into the arrays bars and errors in one long column (a vector). I however want it so it will each subject data into a new row in the array. In this example that would mean the array would be a 6x4 as there are 6 subjects and 4 jump types for each subject. I need the first 4 values to go in spaces (1,1) (1,2) (1,3) and (1,4) and then for it to move down to the next row and import the next 4 values in the same fashion.

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Answer by Iman Ansari
on 30 Apr 2013

Hi. Without loop:

NoS = 6; NoJ = 4; data1=reshape(data(1:96,3),4,24); bars=mean(data1); errors=std(data1); bars=reshape(bars,4,6)'; errors=reshape(errors,4,6)';

## 1 Comment

## Dave

Direct link to this comment:http://www.mathworks.com/matlabcentral/answers/74078#comment_146348

I solved my problem by redefining my NaN matrices as a 4x6. I then transversed the matrices after the loop to give me the 6x4 matrix I was looking for.

If anyone knows any more efficient ways of doing this then please let me know!