r-pmcmr

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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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Versions 4.1
License GPL (>= 3)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-pmcmr

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-pmcmr

and update with:

conda update r-pmcmr

docker

A Docker container is available at https://quay.io/repository/biocontainers/r-pmcmr.