adjustRom: Rom correction of p-values

In livioivil/r41sqrt10: livio's sandbox

Rom correction of p-values

Description

This function takes the particular list of possible hypthesis to correct for multiple testing, as defined in Rom (1990)

Usage

adjustRom(pvalues, alpha = 0.05)

Arguments

pvalues	Raw p-values in either a vector or a matrix. Note that in case the p-values are in a matrix, all the values are used for the correction. Therefore, if the matrix contains repeated values (as those output by some methods in this package), the repetitions have to be removed.
alpha	value for the averall test

Details

The test has been implemented according to the version in Garciaet al. (2010), page 2680-2682.

Value

A vector or matrix with the corrected p-values

References

S. Garcia, A. Fernandez, J. Luengo and F. Herrera (2010) Advanced nonparametric tests for multiple comparison in the design of experiments in computational intelligence and data mining: Experimental analysis of power. Information Sciences, 180, 2044-2064.

D. M. Rom (1990) A sequentially rejective test procedure based on a modified Bonferroni inequality. Biometrika, 77, 663-665.

Examples

data(data_gh_2008)
raw.pvalues <- friedmanPost(data.gh.2008)
raw.pvalues
adjustRom(raw.pvalues, alpha=0.05)

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