power.exp {dae} | 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 |
|
Value
A single numeric
value containing the computed power.
Author(s)
Chris Brien
See Also
no.reps
, detect.diff
in package dae.
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)
[Package dae version 3.2.28 Index]