n.fdr: Find the sample size that meets desired FDR and power...

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

Description

Find smallest sample size that meets requirements for average power and FDR

Usage

n.fdr (ave.pow, fdr, pow.func, eff.size, null.effect, lam = 0.95, 
    eps = 1e-04, n0 = 5, n1 = 500, tol = 1e-06, ...) 

Arguments

ave.pow	required average power (scalar)
fdr	required FDR (scalar)
pow.func	name of R function that computes statistical power
eff.size	effect size vector
null.effect	Value of effect size that indicates null
lam	p-value at which to evaluate ensemble PDF
eps	epsilon for numerical differentiation
n0	smallest sample size to be considered for bisection
n1	maximum sample size to be considered for bisection
tol	tolerance for solving for alpha in iterations
...	additional agruments for the functions

Details

This performs the sample size calculation without checking whether the minimum or maximum sample size satisfy the desired requirements. The fdr.sampsize function checks these conditions and then calls n.fdr. Thus, many users will may prefer to use the sampsize.fdr function instead of n.fdr.

Value

a list with the following components:

n	a sample size estimate
alpha	the p-value cut-off
fdr.hat	an approximation to the expected value of the FDR estimate given n
ave.pow	the average power
fdr.act	the actual FDR given n
pi.hat	expected value of the pi.hat estimator given n
act.pi	actual pi0

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.

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