ci_oddsratio

This function calculates a CI for the odds ratio in a 2x2 table/matrix or a
data frame with two columns. The CI is obtained through <code><a href="/link/stats%3A%3Afisher.test()?package=confintr&version=1.0.2" data-mini-rdoc="confintr::stats::fisher.test()">stats::fisher.test()</a></code>.
Bootstrap CIs are not available.

Calculates classic and/or bootstrap confidence intervals for
many parameters such as the population mean, variance, interquartile
range (IQR), median absolute deviation (MAD), skewness, kurtosis,
Cramer's V, odds ratio, R-squared, quantiles (incl. median),
proportions, different types of correlation measures, difference in
means, quantiles and medians. Many of the classic confidence intervals
are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap
confidence intervals are calculated with the R package 'boot'. Both
one- and two-sided intervals are supported.

Michael Mayer

confintr

Confidence Intervals

ci_oddsratio function

<dl><dt>x</dt>
<dd>A 2x2 matrix/table of counts, or a <code>data.frame</code> with exactly two columns
representing the two binary variables.</dd>
<dt>probs</dt>
<dd>Lower and upper probabilities, by default <code>c(0.025, 0.975)</code>.</dd></dl>

Arguments

This function calculates a CI for the odds ratio in a 2x2 table/matrix or a
data frame with two columns. The CI is obtained through <code><a href='https://rdrr.io/r/stats/fisher.test.html'>stats::fisher.test()</a></code>.
Bootstrap CIs are not available.

CI for the Odds Ratio — ci_oddsratio

<dl>

<dt>x</dt>
<dd>A 2x2 matrix/table of counts, or a <code>data.frame</code> with exactly two columns
representing the two binary variables.</dd>


<dt>probs</dt>
<dd>Lower and upper probabilities, by default <code>c(0.025, 0.975)</code>.</dd>

</dl>

ci_oddsratio: CI for the Odds Ratio

Description

Usage

Value

Arguments

See Also

Examples