bonferroni.test {gMCP}

Weighted Bonferroni-test

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)