sgof (version 2.0.2)

BH: Benjamini-Hochberg (BH) multi-testing procedure

Description

Performs the Benjamini-Hochberg FDR-controlling method for multiple hypothesis testing.

Usage

BH(u, alpha = 0.05)

Arguments

u

A (non-empty) numeric vector of p-values.

alpha

Numeric value. The significance level of the test.

Value

• A list containing the following values:
• Rejections
  The number of effects declared by the BH procedure.
• FDR
  The estimated false discovery rate.
• Adjusted.pvalues
  The adjusted p-values.
• data
  The original p-values.
• alpha
  The specified significance level for the test.
• call
  The matched call.

encoding

UTF-8

Details

The function BH allows for the application of the Benjamini and Hochberg (1995) false discovery rate controlling procedure. The false discovery rate is estimated by the simple method proposed by: Dalmasso, Broet, Moreau (2005), by taking n=1 in their formula.

References

Benjamini Y and Hochberg Y (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society Series B (Methodological) 57, 289--300. Dalmasso C, Broet P and Moreau T (2005). A simple procedure for estimating the false discovery rate. Bioinformatics 21:660--668

See Also

plot.BH,summary.BH

Examples

res<-BH(Hedenfalk$x)
summary(res)   #number of rejected nulls, estimated FDR
plot(res)   #adjusted p-values