fdr.power: Compute the average power at a specific FDR control level

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

Description

Compute the average power at a specific level of FDR control for a given effect size and sample size

Usage

fdr.power (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	name of R function to compute statistical power
eff.size	effect size vector; will be provided as the third argument of pow.func
null.effect	value of effect size that corresponds to null hypothesis
lam	name of R function to compute statistical power
eps	epsilon for numerical differentiation
tol	tolerance for bisection solution to alpha
...	additional agruments for the functions

Value

average power (scalar) of the tests with a false null hypothesis

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 2016.

Gadbury GL, et al. (2004) Power and sample size estimation in high dimensional biology. Statistical Methods in Medical Research 13(4):325-38.

Pounds S and Cheng C (2005) Sample size determination for the false discovery rate. Bioinformatics 21(23): 4263-71.

Examples

 fdr.power(fdr=0.10,n=50,pow.func=power.twosampt,
           eff.size=rep(0:1,c(900,100)),null.effect=0)

Example output

[1] 0.9920888

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