scoreci {rifttable}R Documentation

Wilson Score Confidence Intervals

Description

"This function computes a confidence interval for a proportion. It is based on inverting the large-sample normal score test for the proportion." (Alan Agresti, who wrote the original R code)

Inputs for success, total, and level are vectorized.

Usage

scoreci(success, total, level = 0.95, return_midpoint = FALSE)

Arguments

success

Success count.

total

Total count.

level

Optional. Confidence level. Defaults to 0.95.

return_midpoint

Optional. Return midpoint of confidence interval? Defaults to FALSE.

Value

Data frame:

See Also

https://users.stat.ufl.edu/~aa/cda/R/one-sample/R1/index.html

Agresti A, Coull BA. Approximate is better than "exact" for interval estimation of binomial proportions. Am Stat 1998;52:119-126. doi:10.2307/2685469

Brown LD, Cai TT, DasGupta A. Interval estimation for a binomial proportion (with discussion). Stat Sci 2001;16:101-133. doi:10.1214/ss/1009213286

Examples

scoreci(success = 5, total = 10)
scoreci(success = c(5:10), total = 10, level = 0.9)

[Package rifttable version 0.7.1 Index]