R: Test Multiple Comparisons Using Hommel's Method

hommel.test {statmod} | R Documentation

## Test Multiple Comparisons Using Hommel's Method

### Description

Given a set of p-values and a test level, returns vector of test results for each hypothesis.

### Usage

    hommel.test(p, alpha=0.05)

### Arguments

`p` | numeric vector of p-values
`alpha` | numeric value, desired significance level

### Details

This function implements the multiple testing procedure of Hommel (1988). Hommel's method is also implemented as an adjusted p-value method in the function `p.adjust` but the accept/reject approach used here is faster.

### Value

logical vector indicating whether each hypothesis is accepted

### Author(s)

Gordon Smyth

### References

Hommel, G. (1988). A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika, 75, 383-386.

Shaffer, J. P. (1995). Multiple hypothesis testing. Annual Review of Psychology 46, 561-576. (An excellent review of the area.)

### See Also

`p.adjust`

### Examples

    p <- sort(runif(100))[1:10]
    cbind(p,p.adjust(p,"hommel"),hommel.test(p))

[Package statmod version 1.4.36 Index]