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.

See Also

fisher.test, power.t.test

Aliases
  • power.fisher.test
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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