average.power.twoprop: Computer average power of many two proportion z-tests

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

Computer average power of many two proportion z-tests

Description

Computer average power of many two proportion z-tests.The power calculation of two proportion z-test is based on asymptotic normal approximation.

Usage

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

Arguments

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

Value

Average power estimate for multiple testing procedure

Examples

set.seed(1234);
p1 = sample(seq(0,0.5,0.1),40,replace = TRUE);
p2 = sample(seq(0.5,1,0.1),40,replace = TRUE);
average.power.twoprop(n = 30, alpha = 0.05, p1 = p1,p2 = p2,alternative="two.sided")

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