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, alternative="two.sided")
p1 |
first proportion to be compared. |
p2 |
second proportion to be compared. |
n1 |
first sample size. |
n2 |
second sample size. |
alpha |
significance level. |
nsim |
number of data sets to simulate. |
alternative |
indicates the alternative hypothesis and must be one of "two.sided", "greater" or "less". |
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.
Estimated power of the test.
Gordon Smyth
power.fisher.test(0.5,0.9,20,20) # 70% chance of detecting difference
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