'Adjust p-values for multiple comparisons in Matlab

I have a cell array of p-values that have to be adjusted for multiple comparisons. How can I do that in Matlab? I can't find a built-in function.

In R I would do:

data.pValue_adjusted = p.adjust(data.pValue, method='bonferroni')

Is there a similiar function for Matlab? Ideally one that performs different adjustment methods (Bonferroni, Benjamini-Hochberg, FDR ...)?

Solution 1:^[1]

If you have Bioinformatics Toolbox, you can use MAFDR function to calculate p-values adjusted by False Discovery Rate.

Solution 2:^[2]

For people without the Bioinformatics Toolbox, the FDR (False Discovery Rate) method is also very nicely described here, it also provides a link with an fdr script.

Solution 3:^[3]

A MATLAB/Octave implementation of R's p.adjust function is available here. It can perform p-value adjustment for multiple comparisons with the following methods, equivalent to their R counterparts:

Holm
Hochberg
Hommel
Bonferroni
BH
BY
fdr
Sidak (this one is not available in the R function)

Disclaimer: I'm the author of this package.

Solution 4:^[4]

Have a look at T-test with Bonferroni Correction and related files in the Matlab File-exchange.

I hope this helps.

Solution 5:^[5]

Sources

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Source: Stack Overflow

Solution	Source
Solution 1	yuk
Solution 2	Fraukje
Solution 3	faken
Solution 4	ephsmith
Solution 5	Jan Schnupp

'Adjust p-values for multiple comparisons in Matlab

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