Arcsine_CI_1x2 {contingencytables} R Documentation

## 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"])


[Package contingencytables version 3.0.0 Index]