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

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

Answer 1

[Bartlomiej Stepien]

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

[María]

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]

Dear :Bartlomiej :

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.