Hello,
I am trying to write a script with the end goal of graphing power (y) as a
result of sample size (x) at a variety of effects sizes. I am new to loops,
and I think my problem is there. Here's the script, which is modified from
the script found at the bootom of
http://www.statmethods.net/stats/power.html. ANy help would be much
appreciated!mtes...@ualberta.ca
library(pwr)
library(lattice)
# range of sample sizes
r <- seq(5,300,5)
nr <- length(r)
# effect sizes
p <- seq(.4,1.2,.2)
np <- length(p)
# obtain power
power <- array(numeric(nr*np), dim=c(nr,np))
for (i in 1:np){
for (j in 1:nr){
result <- pwr.t.test(n = r[j], d = p[i],
sig.level = .05, power = NULL,
alternative = "two.sided")
power[j,i] <- ceiling(result$power)
}
}
# set up graph
xrange <- range(r)
yrange <- round(range(power))
colors <- rainbow(length(p))
plot(xrange, yrange, type="n",
xlab="Sample Size (n)",
ylab="Power" )
# add power curves
for (i in 1:np){
lines(r, power[,i], type="l", lwd=2, col=colors[i])
}
# add annotation (grid lines, title, legend)
abline(v=0, h=seq(0,yrange[2],50), lty=2, col="grey89")
abline(h=0, v=seq(xrange[1],xrange[2],.02), lty=2,
col="grey89")
title("Power Estimation for Student's T-Test\Sample size
Sig=0.05 (Two-tailed)")
legend("topright", title="Power", as.character(p),
fill=colors)
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