bonferroni.test: Weighted Bonferroni-test

In gMCP: Graph Based Multiple Comparison Procedures

Description

Weighted Bonferroni-test

Usage

bonferroni.test(pvalues, weights, alpha = 0.05, adjPValues = TRUE,
  verbose = FALSE, ...)

Arguments

pvalues	A numeric vector specifying the p-values.
weights	A numeric vector of weights.
alpha	A numeric specifying the maximal allowed type one error rate. If adjPValues==TRUE (default) the parameter alpha is not used.
adjPValues	Logical scalar. If TRUE (the default) an adjusted p-value for the weighted Bonferroni-test is returned. Otherwise if adjPValues==FALSE a logical value is returned whether the null hypothesis can be rejected.
verbose	Logical scalar. If TRUE verbose output is generated.
...	Further arguments possibly passed by gMCP which will be used by other test procedures but not this one.

Examples

bonferroni.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0))
bonferroni.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0), adjPValues=FALSE)

gMCP documentation built on March 26, 2020, 6:26 p.m.