scmamp (version 0.2.55)

friedmanPost: Friedman's post hoc raw p-values

Description

This function computes the raw p-values for the post hoc based on Friedman's test.

Usage

friedmanPost(data, control = NULL, ...)

Arguments

data

Data set (matrix or data.frame) to apply the test. The column names are taken as the groups and the values in the matrix are the samples.

control

Either the number or the name of the column for the control algorithm. If this parameter is not provided, the all vs all comparison is performed.

...

Not used.

Value

A matrix with all the pairwise raw p-values (all vs. all or all vs. control).

Details

The test has been implemented according to the version in Demsar (2006), page 12.

References

J. Demsar (2006) Statistical Comparisons of Classifiers over Multiple Data Sets. Journal of Machine Learning Research, 7, 1-30.

Examples

data(data_gh_2008)
friedmanPost(data.gh.2008)
friedmanPost(data.gh.2008, control=1)