power.oneway: Compute power of one-way ANOVA

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

Compute power of one-way ANOVA

Description

Compute power of one-way ANOVA; Uses classical power formula for ANOVA; Assumes equal variance and sample size

Usage

power.oneway(n, alpha, theta, k = 2)

Arguments

n	per-group sample size (scalar)
alpha	p-value threshold (scalar)
theta	sum of ((group mean - overall mean)/stdev)^2 across all groups for each hypothesis test(vector)
k	the number of groups to be compared, default k=2

Details

For many applications, the null effect is zero for the parameter theta described above

Value

Vector of power estimates for test of equal means

Examples

theta=rep(c(2,0),c(100,900));
res = power.oneway(n = 50, alpha = 0.05, theta = theta, k = 2)

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