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Performs pairwise comparisons between group levels with corrections for multiple testing.
pairwise.mood.medtest(resp, fact, exact = NULL, p.method = "fdr")
a character string indicating the name of the test.
a character string giving the name(s) of the data.
table of results.
method for p-values correction.
response vector.
grouping factor.
a logical indicating whether exact p-values should be computed.
method for p-values correction. See help of p.adjust.
p.adjust
Maxime HERVE <[email protected]>
If exact=NULL, Fisher's exact tests are used if the number of data values is < 200; otherwise chi-square tests are used (with Yates continuity correction).
exact=NULL
mood.medtest
set.seed(0904) response <- c(rnorm(10),rnorm(10,0.8),rnorm(10,2)) fact <- gl(3,10,labels=LETTERS[1:3]) mood.medtest(response~fact) pairwise.mood.medtest(response,fact)
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