stats (version 3.1.1)

power.prop.test: Power Calculations for Two-Sample Test for Proportions

Description

Compute power of test, or determine parameters to obtain target power.

Usage

power.prop.test(n = NULL, p1 = NULL, p2 = NULL, sig.level = 0.05, power = NULL, alternative = c("two.sided", "one.sided"), strict = FALSE)

Arguments

n
Number of observations (per group)
p1
probability in one group
p2
probability in other group
sig.level
Significance level (Type I error probability)
power
Power of test (1 minus Type II error probability)
alternative
One- or two-sided test
strict
Use strict interpretation in two-sided case

Value

Object of class "power.htest", a list of the arguments (including the computed one) augmented with method and note elements.

Details

Exactly one of the parameters n, p1, p2, power, and sig.level must be passed as NULL, and that parameter is determined from the others. Notice that sig.level has a non-NULL default so NULL must be explicitly passed if you want it computed.

If strict = TRUE is used, the power will include the probability of rejection in the opposite direction of the true effect, in the two-sided case. Without this the power will be half the significance level if the true difference is zero.

See Also

prop.test, uniroot

Examples

Run this code
 power.prop.test(n = 50, p1 = .50, p2 = .75)
 power.prop.test(p1 = .50, p2 = .75, power = .90)
 power.prop.test(n = 50, p1 = .5, power = .90)

Run the code above in your browser using DataLab