afdr: Compute the anticipated FDR

In FDRsampsize: Compute Sample Size that Meets Requirements for Average Power and FDR

Description

Compute the anticipated FDR for given sample size, p-value threshold, and effect size.

Usage

afdr (n, alpha, pow.func, eff.size, lam = 0.95, eps = 1e-04, 
    ...) 

Arguments

n	sample size (scalar)
alpha	p-value cut-off (scalar)
pow.func	an R function that computes statistical power
eff.size	effect size vector
lam	p-value at which to evaluate ensemble PDF (for pi.star)
eps	epsilon for numerical differentiation
...	additional agruments for the functions

Details

The aFDR is defined by Pounds and Cheng (2005) as the anticipated false discovery rate incurred by performing all tests with p-value threshold alpha given the same size effect size and power function.

Value

the aFDR

References

Pounds, Stan, and Cheng Cheng. "Sample size determination for the false discovery rate." Bioinformatics 21.23 (2005): 4263-4271.

Jung, Sin-Ho. "Sample size for FDR-control in microarray data analysis." Bioinformatics 21.14 (2005): 3097-3104.

Examples

 afdr(n=50,alpha=0.01,pow.func=power.twosampt,eff.size=rep(c(1,0),c(100,900)))
 

FDRsampsize documentation built on May 2, 2019, 9:14 a.m.