wilson.ci {fastR2} | R Documentation |
Confidence Intervals for Proportions
Description
Alternatives to prop.test
and binom.test
.
Usage
wilson.ci(x, n = 100, conf.level = 0.95)
Arguments
x |
number of 'successes' |
n |
number of trials |
conf.level |
confidence level |
Details
wald.ci
produces Wald confidence intervals. wilson.ci
produces Wilson confidence intervals (also called “plus-4” confidence
intervals) which are Wald intervals computed from data formed by adding 2
successes and 2 failures. The Wilson confidence intervals have better
coverage rates for small samples.
Value
Lower and upper bounds of a two-sided confidence interval.
Author(s)
Randall Pruim
References
A. Agresti and B. A. Coull, Approximate is better then ‘exact’ for interval estimation of binomial proportions, American Statistician 52 (1998), 119–126.
Examples
prop.test(12,30)
prop.test(12,30, correct=FALSE)
wald.ci(12,30)
wilson.ci(12,30)
wald.ci(12+2,30+4)
[Package fastR2 version 1.2.4 Index]