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 1.2.4

Index]