alpha.power: Find the p-value threshold that gives a specified average...

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

Description

Find p-value cut-off that yields desired average power given n and effect size

Usage

alpha.power (ave.pow, n, pow.func, eff.size, null.effect, tol = 1e-06, 
    ...) 

Arguments

ave.pow	desired average power (scalar)
n	sample size
pow.func	name of R function to compute statistical power
eff.size	effect size vector
null.effect	value of effect size that corresponds to null hypothesis
tol	tolerance for bisection solution to alpha
...	additional agruments for the functions

Value

a list with the following components:

alpha	desired value of alpha
ave.pow	average power at that alpha

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.power(ave.pow=0.8,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.