power.onesampt: Compute power of the one-sample t-test

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

Description

Estimate power of the one-sample t-test;Uses classical power formula for one-sample t-test

Usage

power.onesampt (n, alpha, delta, sigma = 1) 

Arguments

n	number of events (scalar)
alpha	p-value threshold (scalar)
delta	difference of actual mean from null mean (vector)
sigma	standard deviation (vector or scalar, default=1)

Value

vector of power estimates for two-sided test

Examples

 power.onesampt        # show the power function
 res=fdr.sampsize(fdr=0.1,
                  ave.pow=0.8,
                  pow.func=power.onesampt,
                  eff.size=rep(c(2,0),c(100,900)),
                  null.effect=0,
                  sigma=1)
 res

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