Arcsine_CI_1x2: Arcsine confidence interval

In ocbe-uio/contingencytables: Statistical Analysis of Contingency Tables

Arcsine confidence interval

Description

The Arcsine confidence interval for the binomial probability (with Anscombe variance stabilizing transformation) Described in Chapter 2 "The 1x2 Table and the Binomial Distribution"

Usage

Arcsine_CI_1x2(X, n, alpha = 0.05)

Arguments

X	the number of successes
n	the total number of observations
alpha	the nominal level, e.g. 0.05 for 95% CIs

Value

An object of the contingencytables_result class, basically a subclass of base::list(). Use the utils::str() function to see the specific elements returned.

References

Anscombe FJ (1948) The transformation of Poisson, binomial and negative binomial data. Biometrika; 35:246-254

Examples

Arcsine_CI_1x2(singh_2010["1st", "X"], singh_2010["1st", "n"])
Arcsine_CI_1x2(singh_2010["2nd", "X"], singh_2010["2nd", "n"])
Arcsine_CI_1x2(singh_2010["3rd", "X"], singh_2010["3rd", "n"])
with(singh_2010["4th", ], Arcsine_CI_1x2(X, n)) # alternative syntax
Arcsine_CI_1x2(ligarden_2010["X"], ligarden_2010["n"])

ocbe-uio/contingencytables documentation built on Aug. 30, 2024, 7:16 a.m.