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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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conda 393.9 kB | osx-64/r-pmcmr-4.1-r3.3.2_0.tar.bz2  7 years and 8 months ago 4105 main cf201901
conda 394.1 kB | linux-64/r-pmcmr-4.1-r3.3.2_0.tar.bz2  7 years and 8 months ago 1032 main cf201901
conda 391.7 kB | osx-64/r-pmcmr-4.1-r3.3.1_0.tar.bz2  8 years and 4 months ago 91 main cf201901
conda 392.4 kB | linux-64/r-pmcmr-4.1-r3.3.1_0.tar.bz2  8 years and 4 months ago 636 main cf201901
conda 390.6 kB | osx-64/r-pmcmr-4.1-r3.2.2_0.tar.bz2  8 years and 8 months ago 284 main cf201901
conda 390.6 kB | linux-64/r-pmcmr-4.1-r3.2.2_0.tar.bz2  8 years and 8 months ago 813 main cf201901

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