PMCMR (4.0)

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 or van der Waerden's normal score test can be employed, if the data do not meet the assumptions for one-way ANOVA. Provided that significant differences were detected by the omnibus test, one may be interested in applying post-hoc tests for pairwise multiple comparisons (such as Nemenyi's test, Dunn's test, Conover's test, van der Waerden's test). 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 or the Quade-test. The consequent post-hoc pairwise multiple comparison tests according to Nemenyi, Conover and Quade are also provided in this package. Finally Durbin's test for a two-way balanced incomplete block design (BIBD) is also given in this package.

Maintainer: Thorsten Pohlert
Author(s): Thorsten Pohlert

License: GPL (>= 3)

Uses: multcompView, xtable
Reverse suggests: mlr

Released about 4 years ago.