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 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.

### Author(s)

Chris Brien

power.exp, no.reps in package dae.
## Compute the detectable difference for a randomized complete block design