Produces 1-alpha confidence intervals for binomial probabilities.

binconf

Contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, simulation, importing and annotating datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of R objects to Typst, LaTeX, and html code,
recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.

Frank Harrell Jr

Hmisc

Harrell Miscellaneous

Frank E Harrell Jr

Cole Beck

Charles Dupont

binconf function

Confidence Intervals for Binomial Probabilities — binconf

<dl>

<dt>x</dt>
<dd>vector containing the number of "successes" for binomial variates</dd>

<dt>n</dt>
<dd>vector containing the numbers of corresponding observations</dd>

<dt>alpha</dt>
<dd>probability of a type I error, so confidence coefficient = 1-alpha</dd>

<dt>method</dt>
<dd>character string specifing which method to use. The "all" method only
works when 
x and n are length 1. The "exact" method uses the F distribution
to compute exact (based on the binomial cdf) intervals; the
"wilson" interval is score-test-based; and the "asymptotic" is the
text-book, asymptotic normal interval. Following Agresti and
Coull, the Wilson interval is to be preferred and so is the
default.</dd>

<dt>include.x</dt>
<dd>logical flag to indicate whether <code>x</code> should be included in the
returned matrix or data frame</dd>

<dt>include.n</dt>
<dd>logical flag to indicate whether <code>n</code> should be included in the
returned matrix or data frame</dd>

<dt>return.df</dt>
<dd>logical flag to indicate that a data frame rather than a matrix be
returned</dd>
</dl>

Arguments

Rollin Brant, Modified by Frank Harrell and
 
Brad Biggerstaff
 
Centers for Disease Control and Prevention
 
National Center for Infectious Diseases
 
Division of Vector-Borne Infectious Diseases
 
P.O. Box 2087, Fort Collins, CO, 80522-2087, USA
 
<a href='mailto:bkb5@cdc.gov'>bkb5@cdc.gov</a>

Author

Confidence Intervals for Binomial Probabilities

Contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, importing and annotating datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of R objects to LaTeX and html code,
and recoding variables.

binconf: Confidence Intervals for Binomial Probabilities

Description

Usage

Arguments

Value

References

Examples