what test is performed in multcompare when using 'estimate' 'kruskal wallis' to compare group ranks?

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Hello everyone,
I can't find it in the docs.
what test is performed in multcompare when using 'estimate' 'kruskal wallis' to compare group ranks?
[c,m,hdl,names]=multcompare(stats,'estimate','kruskalwallis')
Additionally, is there any way to get p-values for the comparisons of the different groups?
Thanks a lot,
Tobias

Answers (1)

Bartlomiej Stepien
Bartlomiej Stepien on 24 Mar 2014
Edited: Bartlomiej Stepien on 24 Mar 2014
In Matlab 2014a the function multcompare in matrix c returns p-values for the compared groups. See multcompare in Matlab 2014a. The previous versions of Matlab multcompare function doesn't return p-value ;( I also need p-value. I don't find multcompare.m from Matlab 2014a. If you find multcompare.m from Matlab 2014a, you will send me it! Please!
Best regards
  2 Comments
María
María on 11 Aug 2014
Hi, I was looking for this script, did you find finally (multcompare.m from Matlab 2014a) Could you send me?, Thanks. Best regards,
Lingyun GUO
Lingyun GUO on 10 Jul 2020
I want to ask
I have 3 sets of data. It has been organized into two columns The first column is basedata; The second column is the grouping basis.
G1(:,1)=rand(30,1);
G1(:,2)=1;
G2(:,1)=rand(32,1);
G2(:,2)=2;
G3(:,1)= rand(30,1);
G3(:,2)=3;
X=[G1;G2;G3]; % size is (92*2).
[P,anovatab,stats] = kruskalwallis(X(:,1),X(:,2));
c2=multcompare(stats);
The answer is:
1 2 -18.21 -2.31 13.60 0.94
1 3 -11.96 4.20 20.36 0.82
2 3 -9.40 6.51 22.41 0.60
In order to verify that the data is accurate, I continued to carry out two separate KW test data.
A= [G1;G2];
[P,anovatab,stats] = kruskalwallis(A(:,1),A(:,2));
c2=multcompare(stats);
The answer is:
1 2 -10.34 -1.35 7.63 0.77
Got the p value of their difference. Why, Which p value can truly reflect the difference between G1 and G2?
I'm looking forward to your reply very much.

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