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sgof (version 2.0.2)

BY: Benjamini-Yekutieli (BY) multi-testing procedure

Description

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

Usage

BY(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:
  • RejectionsThe number of effects declared by the BY procedure.
  • FDRThe estimated false discovery rate.
  • Adjusted.pvaluesThe adjusted p-values.
  • dataThe original p-values.
  • alphaThe specified significance level for the test.
  • callThe matched call.

encoding

UTF-8

Details

The function BY allows for the application of the Benjamini and Yekutieli (2001) false discovery rate controlling procedure under positive dependence assumptions. 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 Yekutieli D (2001). The control of the false discovery rate in multiple testing under dependency. Annals of Statistics 29, 1165--1188. Dalmasso C, Broet P and Moreau T (2005). A simple procedure for estimating the false discovery rate. Bioinformatics 21:660--668

See Also

plot.BY,summary.BY,BBSGoF

Examples

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

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