# power.fisher.test

From statmod v1.4.32
by Gordon Smyth

##### 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.

##### See Also

##### Examples

```
# NOT RUN {
power.fisher.test(0.5,0.9,20,20) # 70% chance of detecting difference
# }
```

*Documentation reproduced from package statmod, version 1.4.32, License: GPL-2 | GPL-3*

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