get_bh_threshold {IHW} | R Documentation

## Data-driven threshold of Benjamini Hochberg Procedure

### Description

Given pvalues and a nominal significance level alpha, this function returns the rejection threshold of the Benjamini-Hochberg procedure, i.e. a value t_BH such that p-values with P_i <= t_BH get rejected by the procedure.

### Usage

    get_bh_threshold(pvals, alpha, mtests = length(pvals))

### Arguments

`pvals` | Numeric, vector of p-values
`alpha` | Numeric in [0,1], significance level of the multiple testing procedure
`mtests` | Integer, total number of hypothesis tests; only set this (to non-default) when you know what you are doing!

### Value

A numeric in [0,1], threshold of the BH procedure

### Examples

    pvalues <- c(runif(1000), rbeta(1000,0.5,7)) # generate some p-values
    adj_pvalues <- p.adjust(pvalues, method="BH") # calculate adjusted p-values
    t_BH  <- get_bh_threshold(pvalues, 0.1) #get rejection threshold at alpha=0.1
    all((pvalues <= t_BH) == (adj_pvalues <= 0.1)) #equivalence of two formulations

[Package IHW version 1.18.0 Index]