pairwise.clusWilcox.test: Pairwise Wilcoxon Rank Sum and Signed Rank Tests for...

In clusrank: Wilcoxon Rank Tests for Clustered Data

Pairwise Wilcoxon Rank Sum and Signed Rank Tests for Clustered Data

Description

Performs pairwise comparisons between group levels with corrections for multiple testing.

Usage

pairwise.clusWilcox.test(
  x,
  group,
  cluster,
  p.adjust.method = p.adjust.methods,
  ...
)

Arguments

x	A numeric vector of data values.
group	An optional numeric vector of treatment id.
cluster	An optional numeric vector of cluster id.
p.adjust.method	Method for adjusting p values. ?p.adjust for details.
...	Other arguments passed to clusWilcox.test.

Value

A pairwise.htest object.

Examples

library(clusrank)
data(crd)

## for demonstration purpose, create random groups
set.seed(123)
g <- sample(seq_len(3), size = nrow(crd), replace = TRUE)
with(crd, pairwise.clusWilcox.test(z, group = g, cluster = id,
                                   method = "ds", p.adjust.method = "fdr"))

clusrank documentation built on Aug. 12, 2022, 9:06 a.m.