PMCMR (2.0)

Calculate Pairwise Multiple Comparisons of Mean Rank Sums.

http://cran.r-project.org/web/packages/PMCMR

The Kruskal and Wallis one-way analysis of variance by ranks can be employed, if the data do not meet the assumptions for one-way ANOVA. Provided that significant differences were detected by the Kruskal-Wallis-Test, one may be interested in applying post-hoc tests for pairwise multiple comparisons of the ranked data. Similarly, one-way ANOVA with repeated measures that is also referred to as ANOVA with unreplicated block design can also be conducted via the Friedman-Test. The consequent post-hoc pairwise multiple comparison test according to Nemenyi is also provided in this package.

Maintainer: Thorsten Pohlert
Author(s): Thorsten Pohlert

License: GPL (>= 3)

Uses: Does not use any package
Reverse suggests: mlr

Released about 4 years ago.