Cramer_V

Computes Cramer V to assess the strength of association between two categorical variables.

Provides tools to measure connection and independence between variables
without relying on linear models. Includes functions to compute Eta squared,
Chi-squared, and Cramer V. The main advantage of this package is that it works
without requiring parametric assumptions. The methods implemented are based on
educational material and statistical decomposition techniques, not directly on
previously published software or articles.

Pietro Frascino

Connection

Measures of Independence and Connection Without Linear Models

Cramer_V function

<dl><dt>a</dt>
<dd>A numeric or categorical vector (used for rows in the contingency table).</dd>
<dt>b</dt>
<dd>A numeric or categorical vector (used for columns in the contingency table).</dd></dl>

Arguments

Cramer V Statistic for Strength of Association — Cramer_V

<dl>

<dt>a</dt>
<dd>A numeric or categorical vector (used for rows in the contingency table).</dd>


<dt>b</dt>
<dd>A numeric or categorical vector (used for columns in the contingency table).</dd>

</dl>

Cramer_V: Cramer V Statistic for Strength of Association

Description

Usage

Value

Arguments

Details

Examples