pairwiseTestInt: Internal functions for pairwiseTest

In pairwiseCI: Confidence Intervals for Two Sample Comparisons

Description

Only for internal use by pairwiseTest. Two different functions for data representable as a two numeric vectors (pairwiseTestCont) and data representable as matrix with two columns (pairwiseTestProp) as created can be done with a formula like cbind(successes, failures) ~ group. Functions that split up a data.frame according to one factor, and perform all pairwise comparisons and comparisons to control among the levels of the factor by calling functions that can deal with two vectors x and y or the one documented in ?Prop.test.

Usage

pairwiseTestCont(formula, data, control=NULL, method, ...)
pairwiseTestProp(formula, data, control=NULL, method, ...)

Arguments

formula	a formula specifiying the response and the factor variable: response ~ factor
data	a data frame, containing the variables specified in formula
method	character string, giving the name of the function, which shall be used to calculate local p-values. Any function, taking two vectors x, and y as first arguments and returning a list with the p.value in a list element named p.value can be specified.
control	optional character string, defining the name of a control group. Must be one of the levels of the factor variable defined in formula. By default control=NULL, then all pairwise comparisons between the levels of the factor variable are computed.
...	Arguments to be passed the function defined in method

Details

For internal use in pairwiseTest.

Value

a data.frame containing the columns

p.value	numeric vector: the p.values
compnames	character vector: the names of the comparisons performed
groupx	character vector: the names of the first group
groupy	character vector: the names of the second group

See Also

pairwiseTest for a user level function, and pairwise.t.test, pairwise.prop.test, p.adjust for further functions to calculate multiplicity adjusted p-values.

pairwiseCI documentation built on May 1, 2019, 6:51 p.m.