Friedman's post hoc raw p-values
This function computes the raw p-values for the post hoc based on Friedman's test.
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.
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.
The test has been implemented according to the version in Demsar (2006), page 12.
A matrix with all the pairwise raw p-values (all vs. all or all vs. control).
J. Demsar (2006) Statistical Comparisons of Classifiers over Multiple Data Sets. Journal of Machine Learning Research, 7, 1-30.
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