pairwise.ext.t.test: Compute Pairwise t Tests

Description

The function computes pairwise t tests using functions t.test, boot.t.test or perm.t.test.

Usage

pairwise.ext.t.test(x, g, method = "t.test", p.adjust.method = "holm", 
                    paired = FALSE, ...)

Value

Object of class "pw.htest" containing the following components:

data.name: a character string giving the names of the data.
method: the type of test applied.
null.value: the location parameter mu.
alternative: a character string describing the alternative hypothesis.
conf.level: confidence level of the confidence interval.
results: a data.frame containing the results of function t.test, boot.t.test or perm.t.test.

Arguments

x: numeric vector.
g: grouping vector or factor
method: character giving the name of the function to be applied; that is, "t.test", "hsu.t.test", "boot.t.test" or "perm.t.test".
p.adjust.method: method for adjusting p values (see p.adjust). Can be abbreviated.
paired: a logical indicating whether you want a paired test.
...: additional arguments to fun.

Author

Matthias Kohl Matthias.Kohl@stamats.de

Details

The function computes pairwise t tests using function t.test, hsu.t.test, boot.t.test or perm.t.test.

The implementation is in certain aspects analogously to pairwise.t.test. However, a more detailed output is generated.

Examples

Run this code

set.seed(13)
x <- rnorm(100)
g <- factor(sample(1:4, 100, replace = TRUE))
levels(g) <- c("a", "b", "c", "d")
pairwise.ext.t.test(x, g)
## in contrast to
pairwise.t.test(x, g, pool.sd = FALSE)
## moreover
pairwise.ext.t.test(x, g, method = "hsu.t.test")
pairwise.ext.t.test(x, g, method = "boot.t.test")
pairwise.ext.t.test(x, g, method = "perm.t.test")

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