alpha.fdr: Find the fixed p-value threshold that controls the FDR at a...

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

Description

Find the p-value threshold that satisfies an FDR requirement (if such a threshold exists)

Usage

alpha.fdr (fdr, n, pow.func, eff.size, null.effect, lam = 0.95, 
    eps = 1e-04, tol = 1e-04, ...) 

Arguments

fdr	Desired FDR, scalar
n	sample size
pow.func	an R function to compute statistical power
eff.size	effect size vector
null.effect	value of effect size that corresponds to the null hypothesis
lam	the lambda parameter in computing the pi0 (proportion of tests with a true null) estimate of Storey (2002)
eps	epsilon for numerical differentiation
tol	tolerance for bisection solution to alpha
...	additional agruments for the functions

Value

a list with the following components:

fdr	the FDR at that alpha
alpha	the determined alpha
OK	indicates if the requirement is met

References

A Onar-Thomas, S Pounds "FDRsampsize: An R package to Perform Generalized Power and Sample Size Calculations for Planning Studies that use the False Discovery Rate to Measure Significance", Manuscript 2015.

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

 alpha.fdr(fdr=0.1,n=50,pow.func=power.twosampt,
           eff.size=rep(0:1,c(900,100)),null.effect=0)
 

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