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 1.4.0 Index]