average.power.tcorr: Compute average power of many t-tests for non-zero...

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

Compute average power of many t-tests for non-zero correlation

Description

Compute average power of many t-tests for non-zero correlation

Usage

average.power.tcorr(n, alpha, rho)

Arguments

n	sample size (scalar)
alpha	p-value threshold (scalar)
rho	population correlation coefficient (vector)

Details

For many applications, the null.effect is rho = 0

Value

Average power estimate for multiple testing procedure

See Also

power.tcorr for more details about power calculation of t-test for non-zero correlation

Examples

rho = rep(c(0.3,0),c(100,900));
average.power.tcorr(n = 50, alpha = 0.05, rho = rho)

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