power.contr.simulate: Compute power based on simulation
In mcfanda/cpower: Power analysis for contrasts

Description Usage Arguments Value Author(s) Examples

Simulates samples based on normal distribution and test the contrast for each sample, providing power information

1	power.contr.simulate(rep, cont, n, means, sd = 1)

`rep`	number of simulations to run
`cont`	contrast codes as a numeric vector
`n`	per cell n
`means`	pattern of means as numeric vector of the same length of `cont`
`sd`	pooled standard deviation

a data.frame with all the simulated results of class simulations

Marcello Gallucci, mcfanda@gmail.com

## check actual power with 10 simulations
cont<-c(-3,-1,1,3)
means<-c(10,12,10,12)
pwr<-power.contr.simulate(10,cont,10,means,sd=1)
mean(pwr$`Pr(>|t|)`>=.05)