cramersv

This function calculates Cramer's V, a measure of association between two categorical variables.
It is a scaled version of the chi-squared test statistic and lies between 0 and 1.
Cramer's V is calculated as sqrt(chi-squared / (n * (k - 1))), where n is the number
of observations, and k is the smaller of the number of levels of the two variables.

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

cramersv function

<dl><dt>x</dt>
<dd>The result of <code><a href="/link/stats%3A%3Achisq.test()?package=confintr&version=1.0.0" data-mini-rdoc="confintr::stats::chisq.test()">stats::chisq.test()</a></code>, a matrix/table of counts or
a <code>data.frame</code> with exactly two columns representing the two variables.</dd></dl>

Arguments

Cramer's V — cramersv

<dl>

<dt>x</dt>
<dd>The result of <code><a href='https://rdrr.io/r/stats/chisq.test.html'>stats::chisq.test()</a></code>, a matrix/table of counts or
a <code>data.frame</code> with exactly two columns representing the two variables.</dd>

</dl>

cramersv: Cramer's V

Description

Usage

Value

Arguments

Details

References

Examples