daewr (version 1.1-8)

Fpower1: F-Distribution Power Calculation

Description

Calculates the power for one-way ANOVA

Usage

Fpower1(alpha,nlev,nreps,Delta,sigma)

Arguments

alpha

input - significance level of the F-test.

nlev

input - the number of levels of the factor

nreps

input - the number of replicates in each level of the factor.

Delta

input - the size of a practical difference in two cell means.

sigma

input - the standard deviation of the experimental error.

Value

probability of exceeding fcrit(alpha, nu1,nu2) with the non-central F-distribution with nu1 and nu2 degrees of freedom and noncentrality parameter nc

Examples

# NOT RUN {
Fpower1(alpha=.05,nlev=3,nreps=4,Delta=3,sigma=sqrt(2.1))


rmin <-2 #smallest number of replicates considered
rmax <-6 # largest number of replicates considered
alpha <- rep(0.05, rmax - rmin +1) 
sigma <-rep(sqrt(2.1), rmax - rmin +1)
nreps <-c(rmin:rmax)
nlev <- rep(3,rmax - rmin +1)
nreps <- rmin:rmax
Delta <- rep(3,rmax - rmin +1)
power <- Fpower1(alpha,nlev,nreps,Delta,sigma)
data.frame(r=nreps,Power=power)


## The function is currently defined as
Fpower1<-function(alpha=NULL, nlev=NULL,nreps=NULL, Delta=NULL, sigma=NULL)
{
##### Power Calculation for one way ANOVA ###########
# Argument list
# alpha the significance level of the test
# nlev the number of levels of the factor 
# nreps the number of replicates in each level of the factor
# Delta the size of a practical difference in two cell means
# sigma the standard deviation of the experimental error
#####################################################
if (is.null(alpha)|is.null(nlev)|is.null(nreps)|is.null(Delta)|is.null(sigma))
  stop("you must supply alpha, nlev, nreps, Delta and sigma")
css<-(Delta^2)/2
nc<- (nreps*css)/(sigma^2)
df1<-nlev-1
df2<-(nreps-1)*nlev
power <- 1-pf(Fcrit(alpha,df1,df2),df1,df2,nc)
return(power)
}
# }