power.fisher.test: Power of Fisher's Exact Test for Comparing Proportions

Description

Calculate by simulation the power of Fisher's exact test for comparing two proportions given two margin counts.

power.fisher.test(p1, p2, n1, n2, alpha=0.05, nsim=100)

first proportion to be compared

second proportion to be compared

first sample size

second sample size

alpha

significance level

nsim

number of simulated data sets

Computes the power of Fisher's exact test for testing the null hypothesis that p1 equals p2 against the alternative that they are not equal.

power.fisher.test(0.5,0.9,20,20) # 70% chance of detecting difference

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