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power.fisher.test <- function(p1,p2,n1,n2,alpha=0.05,nsim=100,alternative="two.sided") {
# Calculation of power for Fisher's exact test for
# comparing two proportions
# Gordon smyth
# 3 June 2003. Revised 19 Nov 2011.
y1 <- rbinom(nsim,size=n1,prob=p1)
y2 <- rbinom(nsim,size=n2,prob=p2)
y <- cbind(y1,n1-y1,y2,n2-y2)
p.value <- rep(0,nsim)
for (i in 1:nsim) p.value[i] <- fisher.test(matrix(y[i,],2,2),alternative=alternative)$p.value
mean(p.value < alpha)
}
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