power.exp: Computes the power for an experiment
In dae: Functions Useful in the Design and ANOVA of Experiments

power.exp

R Documentation

Computes the power for an experiment

Description

Computes the power for an experiment.

Usage

power.exp(rm=5., df.num=1., df.denom=10., delta=1., sigma=1.,
          alpha=0.05, print=FALSE)

Arguments

`rm`	The number of observations used in computing a mean.
`df.num`	The degrees of freedom of the numerator of the F for testing the term involving the means.
`df.denom`	The degrees of freedom of the denominator of the F for testing the term involving the means.
`delta`	The true difference between a pair of means.
`sigma`	The population standard deviation.
`alpha`	The significance level to be used.
`print`	`TRUE` or `FALSE` to have or not have a table of power calculation details printed out.

Value

A single numeric value containing the computed power.

Author(s)

Chris Brien

Examples

## Compute power for a randomized complete block design with four treatments 
## and five blocks. 
rm <- 5
power.exp(rm = rm, df.num = 3, df.denom = 3 * (rm - 1), delta = 5,
          sigma = sqrt(20),print = TRUE)

dae documentation built on June 22, 2024, 9:07 a.m.