R: Power of Fisher's Exact Test for Comparing Proportions

power.fisher.test {statmod} | R Documentation

## 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.

### 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.

### Author(s)

Gordon Smyth

### See Also

`fisher.test`, `power.t.test`

### Examples

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

[Package statmod version 1.4.30 Index]