how to perform a kruskal-wallis test in matlab

To perform a Kruskal-Wallis Test in MATLAB, you can use the built-in function 'kruskalwallis'.

Here is an example of how to use it:

main.m
% Generate random data for three groups
group1 = randi(100, [20 1]);
group2 = randi(100, [25 1]);
group3 = randi(100, [30 1]);

% Concatenate the data into a single vector
data = [group1; group2; group3];

% Generate a grouping variable
group = [repelem(1, length(group1)), repelem(2, length(group2)), repelem(3, length(group3))];

% Perform the Kruskal-Wallis test
[p, tbl, stats] = kruskalwallis(data, group);

% Display the results
disp(['p-value: ', num2str(p)])
disp(tbl)
disp(stats)
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In this example, we generate random data for three groups of different sizes, concatenate them into a single vector, and generate a grouping variable. We then perform the Kruskal-Wallis test using the 'kruskalwallis' function and display the results.

The output will include the p-value, a test results table containing the sum of ranks, degrees of freedom, and mean rank for each group, and a structure containing additional test statistics.