T-test on correlation coefficients from 2 samples
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Hi all,
I have two 360x360 matrices from two different samples. I am trying to run a ttest on each entry in one matrix with the corresponding entry in the other matrix, so (1,2) with (1,2) and (4,3) with (4,3) for example. This is the code that I currently have:
for i=1:360
for j=1:360
[h_cm(i,j),p_cm(i,j)] = ttest2(cm(i,j),control(i,j));
end
end
As you can see, I am using a for loop. However, the output tables for h_cm and p_cm are populated with NaNs. Can anyone see where I'm going wrong?
3 Commenti
dpb
il 2 Lug 2019
Modificato: dpb
il 2 Lug 2019
Well, you can't compute the test statistic without the underlying data -- you'll have to back up a step to the point before you did the averaging--or you could compute the t statistic from the sample means and standard deviations, but there's not a builtin ML function that does the computation that way; only from the population samples. So, you'll have to write it yourself altho it isn't at all a difficult calculation, just not pre-packaged solution.
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