BinaryExactCI: Exact Confidence interval for Binary Proportion

Description Usage Arguments Details Value References Examples

View source: R/BinaryExactCI.R

Description

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

Usage

1
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-α).

Details can be found in the publication listed below.

Value

100 (1-α)% 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

1
BinaryExactCI(3,20,0.05)

RBesT documentation built on Nov. 24, 2021, 5:07 p.m.