- Combine all group data into a matrix Z (columns = groups)
- Used nested for loops to iterate over all unique group pairs
- Perform ttest() on each pair
- Collect p-values (ZP) and their corresponding group indices (ZH)
- Convert them into a structured format
paired ttest multiple groups loop?
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Basic matlab user so assume there is an easy fix for my query, nonetheless looking for assistance on automating paired ttest between as many groups as available. Completing ttest, grouping p value results with group identifiers for sigstar boxplot. How can I loop this so it completes it no matter how many groups and not requiring me to enter them manually? (the groups and group identifiers) Thankyou for any assistance
[zh1,zp1]=ttest(z1,z2);
[zh2,zp2]=ttest(z1,z3);
[zh3,zp3]=ttest(z1,z4);
[zh4,zp4]=ttest(z1,z5);
[zh5,zp5]=ttest(z2,z3);
[zh6,zp6]=ttest(z2,z4);
[zh7,zp7]=ttest(z2,z5);
[zh8,zp8]=ttest(z3,z4);
[zh9,zp9]=ttest(z3,z5);
[zh10,zp10]=ttest(z4,z5);
ZP=[zp1,zp2,zp3,zp4,zp5,zp6,zp7,zp8,zp9,zp10];
ZH={[1,2],[1,3],[1,4],[1,5],[2,3],[2,4],[2,5],[3,4],[3,5],[4,5]};
ZP(ZP>statvalue)=0;
ZPH=[num2cell(ZP);ZH];
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Samayochita
le 24 Avr 2025
Modifié(e) : Samayochita
le 24 Avr 2025
Hi kcin,
I understand that you are trying to automate paired t-tests across all unique group combinations, and prepare the results for use with sigstar boxplot, without hardcoding each pair.
Here is one way to achieve the desired result:
ZPH = [num2cell(ZP(:)), ZH(:)];
to use with sigstar.
The relevant piece of code is given below:
ZP = [];
ZH = {};
index = 1;
for i = 1:4
for j = i+1:5
[~, p] = ttest(Z(:, i), Z(:, j));
ZP(index) = p;
ZH{index} = [i, j];
index = index + 1;
end
end
Hope this was helpful.
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