PMCMR: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Version 4.1

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.

Package details

AuthorThorsten Pohlert
Date of publication2016-01-06 10:15:27
MaintainerThorsten Pohlert <thorsten.pohlert@gmx.de>
LicenseGPL (>= 3)
Version4.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PMCMR")

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PMCMR documentation built on May 29, 2017, 2:51 p.m.