Power Calculations for Two-Sample Test for Proportions (original) (raw)

power.prop.test {stats}	R Documentation

Description

Compute the power of the two-sample test for proportions, or determine parameters to obtain a 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, tol = .Machine$double.eps^0.25)

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. Can be abbreviated.
strict	use strict interpretation in two-sided case
tol	numerical tolerance used in root finding, the default providing (at least) four significant digits.

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.levelhas 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.

Note that not all conditions can be satisfied, e.g., for

power.prop.test(n=30, p1=0.90, p2=NULL, power=0.8, strict=TRUE)

there is no proportion p2 between p1 = 0.9 and 1, as you'd need a sample size of at least n = 74 to yield the desired power for (p1,p2) = (0.9, 1).

For these impossible conditions, currently a warning ([warning](../../base/html/warning.html)) is signalled which may become an error ([stop](../../base/html/stop.html)) in the future.

Value

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

Note

[uniroot](../../stats/help/uniroot.html) is used to solve power equation for unknowns, so you may see errors from it, notably about inability to bracket the root when invalid arguments are given. If one of p1 andp2 is computed, then p1 < p2 is assumed and will hold, but if you specify both, p2 \le p1 is allowed.

Author(s)

Peter Dalgaard. Based on previous work by Claus Ekstrøm

Examples

power.prop.test(n = 50, p1 = .50, p2 = .75)      ## => power = 0.740
power.prop.test(p1 = .50, p2 = .75, power = .90) ## =>     n = 76.7
power.prop.test(n = 50, p1 = .5, power = .90)    ## =>    p2 = 0.8026
power.prop.test(n = 50, p1 = .5, p2 = 0.9, power = .90, sig.level=NULL)
                                                 ## => sig.l = 0.00131
power.prop.test(p1 = .5, p2 = 0.501, sig.level=.001, power=0.90)
                                                 ## => n = 10451937
try(
 power.prop.test(n=30, p1=0.90, p2=NULL, power=0.8)
) # a warning  (which may become an error)
## Reason:
power.prop.test(      p1=0.90, p2= 1.0, power=0.8) ##-> n = 73.37

[Package _stats_ version 4.6.0 Index]