pairwise.perm.t.test {RVAideMemoire} | R Documentation |
Pairwise permutation t tests
Description
Performs 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,
progress = TRUE)
Arguments
resp |
response vector. |
fact |
grouping factor. |
p.method |
method for p-values correction. See help of |
paired |
a logical indicating whether you want paired (permutation) t-tests. |
alternative |
a character string specifying the alternative hypothesis, must be one of |
nperm |
number of permutations. |
progress |
logical indicating if the progress bar should be displayed. |
Details
The function deals with the limitted floating point precision, which can bias calculation of p-values based on a discrete test statistic distribution.
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. |
Author(s)
Maxime HERVE <maxime.herve@univ-rennes1.fr>
See Also
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
# permutation ANOVA
perm.anova(response~fact,nperm=49)
# Pairwise comparisons
pairwise.perm.t.test(response,fact,nperm=49)