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statmod (version 1.4.32)

power.fisher.test: 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".

Value

Estimated power of the test.

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.

See Also

fisher.test, power.t.test

Examples

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

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