fdr.an {varmixt} | R Documentation

## FDR analysis of variance mixture analysis results

### Description

This functions computes the number of regulated genes at given level of FDR

### Usage

    fdr.an(data,Q=0.05,display=TRUE,lambda=seq(0,0.95,0.05))

### Arguments

`data` | A gene gene expression data object. The results of vm.analysis or vm.analysis.paired function
`Q` | the fdr level
`display` | if TRUE prints the number of regulated genes and corresponding p-values for the different methods on the screen
`lambda` | Argument to the q-value function.

### Details

If lambda=0, then the FDR is computed (Benjamini Hochberg). If lambda is set to its default, the the pFDR according to Storey is computed.

### Value

a data frame with the number of genes regulated with the different analysis methods and the corresponding p-value

### Note

### Author(s)

Paul Delmar

### References

Benjamini, Y. and Y. Hochberg (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Statist. Soc. B 57(1), 289-300 Storey JD. (2002) A direct approach to false discovery rates. Journal of the Royal Statistical Society, Series B, 64: 479-498

### See Also

`vm.analysis`, `vm.analysis.paired`, `pval.an`

### Examples

[Package varmixt version 0.2-4 Index]