# 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)
##### 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 simulated data sets
##### 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