detect.diff {dae}  R Documentation 
Computes the detectable difference for an experiment
Description
Computes the delta that is detectable for specified replication, power, alpha.
Usage
detect.diff(rm=5, df.num=1, df.denom=10, sigma=1, alpha=0.05, power=0.8,
tol = 0.001, 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. 
sigma 
The population standard deviation. 
alpha 
The significance level to be used. 
power 
The minimum power to be achieved. 
tol 
The maximum difference tolerated between the power required and the power computed in determining the detectable difference. 
print 

Value
A single numeric
value containing the computed detectable difference.
Author(s)
Chris Brien
See Also
power.exp
, no.reps
in package dae.
Examples
## Compute the detectable difference for a randomized complete block design
## with four treatments given power is 0.8 and alpha is 0.05.
rm < 5
detect.diff(rm = rm, df.num = 3, df.denom = 3 * (rm  1),sigma = sqrt(20))
[Package dae version 3.2.28 Index]