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PMCMR (version 4.0)

Calculate Pairwise Multiple Comparisons of Mean Rank Sums

Description

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.

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Version

Install

install.packages('PMCMR')

Monthly Downloads

8,050

Version

4.0

License

GPL (>= 3)

Maintainer

Thorsten Pohlert

Last Published

December 7th, 2015

Functions in PMCMR (4.0)

durbin.test

Durbin test
posthoc.kruskal.dunn.test

Pairwise Test for Multiple Comparisons of Mean Rank Sums (Dunn's-Test)
jonckheere.test

Jonckheere-Terpstrata test for testing k independent samples against ordered alternatives
posthoc.kruskal.nemenyi.test

Pairwise Test for Multiple Comparisons of Mean Rank Sums (Nemenyi-Tests)
posthoc.vanWaerden.test

Pairwise Test for Multiple Comparisons of normal scores (van der Waerden test)
posthoc.durbin.test

Posthoc Durbin test
dunn.test.control

Pairwise Test for Multiple Comparisons of Mean Rank Sums with one control (Dunn's-Test)
posthoc.friedman.nemenyi.test

Pairwise post-hoc Test for Multiple Comparisons of Mean Rank Sums for Unreplicated Blocked Data (Nemenyi-Test)
posthoc.friedman.conover.test

Pairwise post-hoc Test for Multiple Comparisons of Rank Sums for Unreplicated Blocked Data (Conover-Test)
posthoc.quade.test

Pairwise post-hoc Test for Multiple Comparisons of Rank Sums for Unreplicated Blocked Data (Quade multiple comparison test)
print.PMCMR

Prints PMCMR objects
posthoc.kruskal.conover.test

Pairwise Test for Multiple Comparisons of Mean Rank Sums (Conover's-Test)
vanWaerden.test

van der Waerden's normal scores test
get.pvalues

Prints PMCMR objects
summary.PMCMR

Summarizing PMCMR objects
PCMCR-package

Calculate pairwise multiple comparisons between mean rank sums