dae (version 3.0-32)

detect.diff: 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

TRUE or FALSE to have or not have a table of power calculation details printed out.

Value

A single numeric value containing the computed detectable difference.

See Also

power.exp, no.reps in package dae.

Examples

# NOT RUN {
## 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))
# }

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