| afdr {FDRsampsize} | R Documentation |
Compute the anticipated FDR
Description
Compute the anticipated FDR for given sample size, p-value threshold, and effect size.
Usage
afdr (n, alpha, pow.func, eff.size, lam = 0.95, eps = 1e-04,
...)
Arguments
n |
sample size (scalar) |
alpha |
p-value cut-off (scalar) |
pow.func |
an R function that computes statistical power |
eff.size |
effect size vector |
lam |
p-value at which to evaluate ensemble PDF (for pi.star) |
eps |
epsilon for numerical differentiation |
... |
additional agruments for the functions |
Details
The aFDR is defined by Pounds and Cheng (2005) as the anticipated false discovery rate incurred by performing all tests with p-value threshold alpha given the same size effect size and power function.
Value
the aFDR
References
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
afdr(n=50,alpha=0.01,pow.func=power.twosampt,eff.size=rep(c(1,0),c(100,900)))