average.power: Compute average power for a given sample size

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

Description

Compute average power for given sample size, effect size, and p-value threshold

Usage

average.power (n, alpha, pow.func, eff.size, null.effect, ...) 

Arguments

n	sample size
alpha	p-value cut off (scalar)
pow.func	an R function to compute statistical power
eff.size	effect size vector
null.effect	value of effect size that corresponds to null hypothesis
...	additional agruments for the functions

Value

average power (scalar)

References

Pounds, Stan, and Cheng Cheng. "Sample size determination for the false discovery rate." Bioinformatics 21.23 (2005): 4263-4271. Gadbury GL, et al. (2004) Power and sample size estimation in high dimensional biology. Statistical Methods in Medical Research 13(4):325-38. Jung, Sin-Ho. "Sample size for FDR-control in microarray data analysis." Bioinformatics 21.14 (2005): 3097-3104.

Examples

 average.power(n=50,alpha=0.01,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.