how to perform a fligner-killeen test in matlab

To perform a Fligner-Killeen test in Matlab, you can use the fligntest function. This test is used to determine if two or more samples come from populations with equal variances, and is a viable alternative to the commonly used Levene's test.

Here is an example code that demonstrates how to use the fligntest function:

main.m
% Generate example data
x1 = randn(100,1);
x2 = randn(100,1) + 1;
x3 = randn(100,1) - 1;

% Perform Fligner-Killeen test
[pval, h] = fligntest(x1, x2, x3)
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In this code, we generate three different sets of random data (x1, x2, and x3), and then use the fligntest function to perform a Fligner-Killeen test on all of the samples together. The fligntest function returns a p-value (pval) and a logical value (h) that indicates whether or not the null hypothesis (that all populations have equal variances) can be rejected.

Note that the fligntest function can take any number of input arguments, each corresponding to a different sample. The test assumes that each sample is normally distributed, and can handle samples of different sizes.