# power.fisher.test

0th

Percentile

##### 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.

Keywords
htest
##### Usage
power.fisher.test(p1, p2, n1, n2, alpha=0.05, nsim=100, alternative="two.sided")
##### Arguments
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".
##### Details

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.

##### Value

• Estimated power of the test.

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