RVAideMemoire (version 0.9-35)

wilcox.paired.rating.multcomp: Non parametric pairwise comparisons for paired ratings

Description

Perform non parametric pairwise comparisons of paired ratings (ordinal response variables) by Wilcoxon signed rank tests for paired data.

Usage

wilcox.paired.rating.multcomp(formula, data, p.method = "fdr")

Arguments

formula

a formula of the form a ~ b | c, where a, b and c give the data values and corresponding groups and blocks, respectively. It is preferable that a is an ordered factor.

data

an optional data frame containing the variables in the formula formula. By default the variables are taken from environment(formula).

p.method

method for p-values correction. See help of p.adjust.

Value

• method
  name of the test.
• data.name
  a character string giving the name(s) of the data.
• method
  a character string indicating the name of the test.
• p.adjust.method
  method for p-values correction.
• p.value
  table of results of pairwise comparisons.

See Also

pairwise.wilcox.rating.test, wilcox.rating.test

Examples

set.seed(1630)
response <- factor(c(sample(1:3,10,replace=TRUE),
  sample(2:5,10,replace=TRUE),
  sample(3:6,10,replace=TRUE)),levels=c("1","2","3","4","5","6"),ordered=TRUE)
fact <- gl(3,10,labels=LETTERS[1:3])
block <- gl(10,1,30,labels=letters[1:10])
friedman.rating.test(response~fact|block)
wilcox.paired.rating.multcomp(response~fact|block)