BinaryExactCI: Exact Confidence interval for Binary Proportion

View source: R/BinaryExactCI.R

BinaryExactCIR Documentation

Exact Confidence interval for Binary Proportion

Description

This function calculates the exact confidendence interval for a response rate presented by n and r.

Usage

BinaryExactCI(r, n, alpha = 0.05, drop = TRUE)

Arguments

r

Number of success or responder

n

Sample size

alpha

confidence level

drop

Determines if drop will be called on the result

Details

Confidence intervals are obtained by a procedure first given in Clopper and Pearson (1934). This guarantees that the confidence level is at least (1-\alpha).

Details can be found in the publication listed below.

Value

100 (1-\alpha)% exact confidence interval for given response rate

References

Clopper, C. J. & Pearson, E. S. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 1934.

Examples

BinaryExactCI(3,20,0.05)


RBesT documentation built on May 29, 2024, 10:40 a.m.