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

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Calculate by simulation the power of Fisher's exact test for comparing two proportions given two margin counts.

Usage

1
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

1
power.fisher.test(0.5,0.9,20,20) # 70% chance of detecting difference

Example output

[1] 0.82

statmod documentation built on May 10, 2021, 5:08 p.m.

Related to power in statmod...