x-axis of multcompare() does not plot group means

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Sascha Frölich
Sascha Frölich 2022-5-24
编辑： Scott MacKenzie 2022-5-28
Hi,
I am performing an ANOVA on four different groups (data appended). I am using the following code:
[p, tbl, stats] = kruskalwallis(data(:, 1:4));
[c, m, h, gnames] = multcompare(stats);
The group means are 1.1793, 1.5778, 3.8336, 0.9215. However, the figure output by multcompare(stats) has an x-axis range from 100 to 350 (see image). I am confused since as far as I know, the group means should be on the x-axis. Did I do anything wrong?

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Scott MacKenzie
Scott MacKenzie 2022-5-28
编辑：Scott MacKenzie 2022-5-28
You didn't do anything wrong. The Kruskal Wallis procedure, being non-parametric, works with the rank-transformed data, not the raw data. The group means in the multcompare chart are the means of the ranked data in each group.
Alternatively, if the raw data are parametric, you can avoid transforming the data to ranks by using anova1 instead of kruskalwallis:
data = readmatrix('testdata.txt'); % your data
[p, tbl, stats] = anova1(data);
[c, m, h, gnames] = multcompare(stats);
Output:

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