Power of Fisher's Exact Test for Comparing Proportions
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
- significance level
- number of simulated data sets
Computes the power of Fisher's exact test for testing the null hypothesis that
p2 against the alternative that they are not equal.
- Estimated power of the test
power.fisher.test(0.5,0.9,20,20) # 70% chance of detecting difference