I have a large dataset and the following is a sample of it. The first column contains unique numbers while the second and third columns represnet the variables of interest.
dat = [4 32 24; 4 67 33; 4 80 40; 4 90 70; 9 22 10; 9 42 15; 9 52 30; 9 60 40]
I wrote the following code to caluclate the mean of the variables of interest for each unique number.
dat1=unique(dat(:,1)) datfinal = zeros(length(dat1),3) datfinal(:,1)=dat1 for idx=1:length(dat1) datfinal(idx,2)=mean(dat(dat(:,1)==dat1(idx),2)) datfinal(idx,3)=mean(dat(dat(:,1)==dat1(idx),3)) end
The code works and gives what I want but I am struggling in adjusting the loop to calculate the correlation coefficient (corr2) between columns 2 and 3 for each unqiue number separately. The result should be as follows
corr=[4 0.8243; 9 0.9293]
I appreciate your help.
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