average.power.fisher: Compute average power of many Fisher's exact tests

In FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications

Compute average power of many Fisher's exact tests

Description

Compute average power of many Fisher's exact tests

Usage

average.power.fisher(p1, p2, n, alpha, alternative)

Arguments

p1	probability in one group (vector)
p2	probability in other group (vector)
n	per-group sample size
alpha	p-value threshold
alternative	one- or two-sided test

Value

Average power estimate for multiple testing procedure

See Also

power.fisher for more details about power calculation of Fisher's exact test

Examples

set.seed(1234);
p1 = sample(seq(0,0.5,0.1),5,replace = TRUE);
p2 = sample(seq(0.5,1,0.1),5,replace = TRUE);
average.power.fisher(p1 = p1,p2 = p2,n = 20,alpha = 0.05,alternative = "two.sided")

FDRsamplesize2 documentation built on May 29, 2024, 7:12 a.m.