RVAideMemoire (version 0.9-35)

pairwise.perm.t.test: Pairwise permutational t tests

Description

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

Usage

pairwise.perm.t.test(resp, fact, p.method = "fdr", paired = FALSE,
  alternative = c("two.sided","less", "greater"), nperm = 999)

Arguments

resp

response vector.

fact

grouping factor.

p.method

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

paired

a logical indicating whether you want paired (permutational) t-tests.

alternative

a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".

nperm

number of permutations.

Value

• method
  a character string indicating what type of t-tests were performed.
• data.name
  a character string giving the name(s) of the data.
• p.value
  table of results.
• p.adjust.method
  method for p-values correction.
• permutations
  number of permutations.

See Also

pairwise.t.test

Examples

set.seed(1203)
response <- c(rnorm(5),rpois(5,0.5),rnorm(5,2,1))
fact <- gl(3,5,labels=LETTERS[1:3])

# Not enough permutations here but it runs faster

# Permutational ANOVA
perm.anova(response~fact,nperm=49)

# Pairwise comparisons
pairwise.perm.t.test(response,fact,nperm=49)