AdjustPvalues {GeneSelector} | R Documentation

## P-value adjustment for mutiple testing.

### Description

Wrapper function for the functions `mt.rawp2adjp` from the package `multtest` and `qvalue.cal` from the package `siggenes`.

### Usage

    AdjustPvalues(pval, method = c("BH", "qvalue", "Bonferroni",
                   "Holm", "Hochberg", "SidakSS", "SidakSD", "BY"))

### Arguments

`pval` | A numeric vector of raw p-values
`method` | Several multiple testing adjustment procedures.

### Value

A numeric vector of adjusted p-values corresponding to the argument `pval`.

### Author(s)

Martin Slawski martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix

### References

Dudoit, S., Shaffer, J.P., Boldrick, J.C. (2003).
Multiple Hypothesis Testing in Microarray Experiments Statistical Science, 18, 71-103

Storey, J.D., Tibshirani, R. (2003).
Statistical significance for genomewide studies. PNAS USA, 100, 9440-9445

### See Also

GeneSelector, RecoveryScore

### Examples

    ### Simulate 100 uniform random variates
    rawp <- runif(100)
    ### Adjust with Benjamin-Hochberg procedure
    adjustedp <- AdjustPvalues(rawp, method="BH")

[Package GeneSelector version 1.2.0 Index]