power.signtest: Compute power of the sign test

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

Compute power of the sign test

Description

Use the Noether (1987) formula to compute the power of the sign test, which is based on asymptotic normal approximation.

Usage

power.signtest(n, alpha, p)

Arguments

n	sample size (scalar)
alpha	p-value threshold (scalar)
p	Pr(X>0), as in Noether (JASA 1987)

Details

In most applications, the null effect size will be designated by p = 0.5

Value

Vector of power estimates for two-sided tests

References

Noether, Gottfried E (1987) Sample size determination for some common nonparametric tests. Journal of the American Statistical Association, 82:645-647.

Examples

p = rep(c(0.8,0.5),c(100,900));
res = power.signtest(n = 50, alpha = 0.05, p = p)

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