Wilson_score_CI_CC_1x2 {contingencytables} | R Documentation |
The Wilson score confidence interval with continuity correction for the binomial probability
Description
Described in Chapter 2 "The 1x2 Table and the Binomial Distribution"
Usage
Wilson_score_CI_CC_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
Reference Wilson EB (1927) Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association; 22209-212
Examples
# The number of 1st order male births (Singh et al. 2010)
Wilson_score_CI_CC_1x2(singh_2010["1st", "X"], singh_2010["1st", "n"])
# The number of 2nd order male births (Singh et al. 2010)
Wilson_score_CI_CC_1x2(singh_2010["2nd", "X"], singh_2010["2nd", "n"])
# The number of 3rd order male births (Singh et al. 2010)
Wilson_score_CI_CC_1x2(singh_2010["3rd", "X"], singh_2010["3rd", "n"])
# The number of 4th order male births (Singh et al. 2010)
with(singh_2010["4th", ], Wilson_score_CI_CC_1x2(X, n)) # alternative syntax
# Ligarden et al. (2010)
Wilson_score_CI_CC_1x2(ligarden_2010["X"], ligarden_2010["n"])
[Package contingencytables version 3.0.0 Index]