ArcSine confidence interval for binomial proportion

This function calculates the confidence interval for a proportion. It is vectorized, allowing users to evaluate it using either single values or vectors.

ci_p_arcsine(x, n, conf.level = 0.95)

Arguments

x

a number or a vector with the number of successes.

n

a number or a vector with the number of trials.

conf.level

confidence level for the returned confidence interval. By default is 0.95.

Value

A matrix with the lower and upper limits.

Details

The expression to obtain the confidence interval is given below:

\(\sin^2(\arcsin(\sqrt{\tilde{p}}) \mp \frac{z_{\alpha/2}}{2\sqrt{n}})\),

where \(\tilde{p} = x/n\). The value \(z_{\alpha/2}\) is the \(1-\alpha/2\) percentile of the standard normal distribution (e.g., \(z_{0.025}=1.96\) for a 95% confidence interval).

References

No reference.

See also

ci_p.

Author

Victor David Usuga Duque, vusuga@unal.edu.co

Examples

ci_p_arcsine(x= 0, n=50, conf.level=0.95)
#>            [,1]
#> [1,] 0.00000000
#> [2,] 0.01908464
ci_p_arcsine(x=15, n=50, conf.level=0.95)
#>           [,1]
#> [1,] 0.1822339
#> [2,] 0.4330338
ci_p_arcsine(x=50, n=50, conf.level=0.95)
#>           [,1]
#> [1,] 0.9809154
#> [2,] 1.0000000