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wilcox.paired.multcomp: Non parametric pairwise comparisons for paired data

Description

Performs non parametric pairwise comparisons of paired samples by Wilcoxon signed rank tests for paired data.

Usage

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

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.

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.

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.

Author

Maxime HERVE <maxime.herve@univ-rennes1.fr>

See Also

Examples

Run this code
response <- c(rnorm(10,0,3),rnorm(10,5,3),rnorm(10,8,2))
fact <- gl(3,10,labels=LETTERS[1:3])
block <- gl(10,1,30,labels=letters[1:10])
friedman.test(response~fact|block)
wilcox.paired.multcomp(response~fact|block)

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