adjustBergmannHommel: Bergmann and Hommel dynamic correction of p-values.

In livioivil/r41sqrt10: livio's sandbox

Bergmann and Hommel dynamic correction of p-values.

Description

This function takes the particular list of possible hypthesis to correct for multiple testing, as defined in Bergmann and Hommel (1994).

Usage

adjustBergmannHommel(raw.matrix)

Arguments

raw.matrix

Raw p-values in a matrix.

Details

The test has been implemented according to the version in Garcia and Herrera (2008), page 2680-2682.

Value

A matrix with the corrected p-values

References

S. Garcia and F. Herrera (2008) An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for All Pairwise Comparisons. Journal of Machine Learning Research, 9, 2677-2694.

G. Bergmann and G. Hommel (1988) Improvements of general multiple test procedures for redundant systems of hypogheses. In P. Bauer, G. Hommel and E. Sonnemann, editors, Multiple Hypotheses Testing, 100-115, Springer, Berlin.

Examples

data(data_gh_2008)
raw.pvalues <- friedmanAlignedRanksPost(data.gh.2008)
raw.pvalues
adjustBergmannHommel (raw.pvalues)

livioivil/r41sqrt10 documentation built on July 29, 2023, 5:40 p.m.