AgrestiCoull_CI_1x2 {contingencytables} | R Documentation |
The Agresti-Coull confidence interval for the binomial probability
Description
Described in Chapter 2 "The 1x2 Table and the Binomial Distribution"
Usage
AgrestiCoull_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
Agresti A, Coull BA (1998) Approximate is better than "exact" for interval estimation of binomial proportions. The American Statistician; 52:119-126
See Also
Wald_CI_1x2
Examples
AgrestiCoull_CI_1x2(singh_2010["1st", "X"], singh_2010["1st", "n"])
AgrestiCoull_CI_1x2(singh_2010["2nd", "X"], singh_2010["2nd", "n"])
AgrestiCoull_CI_1x2(singh_2010["3rd", "X"], singh_2010["3rd", "n"])
with(singh_2010["4th", ], AgrestiCoull_CI_1x2(X, n)) # alternative syntax
AgrestiCoull_CI_1x2(ligarden_2010["X"], ligarden_2010["n"])
[Package contingencytables version 3.0.0 Index]