power.oneway: Compute power of one-way ANOVA

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

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

 power.oneway        # show the power function
 res=fdr.sampsize(fdr=0.1,
                  ave.pow=0.8,
                  pow.func=power.oneway,
                  eff.size=rep(c(2,0),c(100,900)),
                  null.effect=0,
                  k=3)
 res

Example output

function (n, alpha, theta, k = 2) 
{
    1 - pf(qf(1 - alpha, k - 1, k * (n - 1)), k - 1, k * (n - 
        1), ncp = n * theta)
}
<environment: namespace:FDRsampsize>
          n       alpha     ave.pow     fdr.hat     act.fdr 
9.000000000 0.007629395 0.800052317 0.079043049 0.079041346 

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