power.tcorr: Compute Power of the t-test for non-zero correlation

In FDRsampsize: Compute Sample Size that Meets Requirements for Average Power and FDR

Description

Estimate power of t-test for non-zero correlation;Uses classical power formula for t-test

Usage

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

vector of power estimates for two-sided tests

Examples

 power.tcorr        # show the power function
 res=fdr.sampsize(fdr=0.1,
                  ave.pow=0.8,
                  pow.func=power.tcorr,
                  eff.size=rep(c(0.3,0),c(100,900)),
                  null.effect=0)
 res

FDRsampsize documentation built on May 2, 2019, 9:14 a.m.