articleJan 1, 2016Closed access

The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)

Abstract

2 Comparison of multiple independent samples (One-factorial design) 2 2.1 Kruskal and Wallis test . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Kruskal-Wallis – post-hoc tests after Nemenyi . . . . . . . . . . . . . . . . 3 2.3 Examples using posthoc.kruskal.nemenyi.test . . . . . . . . . . . . . 4 2.4 Kruskal-Wallis – post-hoc test after Dunn . . . . . . . . . . . . . . . . . . 6 2.5 Example using posthoc.kruskal.dunn.test . . . . . . . . . . . . . . . . 7 2.6 Kruskal-Wallis – post-hoc test after Conover . . . . . . . . . . . . . . . . . 8 2.7 Example using posthoc.kruskal.conover.test . . . . . . . . . . . . . . 8 2.8 Dunn’s multiple comparison test with one control . . . . . . . . . . . . .…

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Topics & keywords

Keywords
  • Kruskal–Wallis one-way analysis of variance
  • Post hoc
  • Kruskal's algorithm
  • Test (biology)
  • Van der Waerden's theorem
  • Pairwise comparison
  • Mathematics
  • Statistics
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