central_concentration

Computes a measure of how concentrated counts are around the center
of a nominal variable, based on the centered plotting order.

Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.

Norberto Asensio

nomiShape

Visualization and Analysis of Nominal Variable Distributions

central_concentration function

<dl><dt>df</dt>
<dd>A data.frame or tibble containing the variable.</dd>
<dt>var</dt>
<dd>Character. Name of the nominal variable in <code>df</code>.</dd>
<dt>top_k</dt>
<dd>Numeric. Number of central categories to consider (default: 3).</dd>
<dt>weighted</dt>
<dd>Logical. If TRUE, applies a weight decreasing with distance from center.</dd></dl>

Arguments

Central Concentration Index for Nominal Variables — central_concentration

<dl>

<dt>df</dt>
<dd>A data.frame or tibble containing the variable.</dd>


<dt>var</dt>
<dd>Character. Name of the nominal variable in <code>df</code>.</dd>


<dt>top_k</dt>
<dd>Numeric. Number of central categories to consider (default: 3).</dd>


<dt>weighted</dt>
<dd>Logical. If TRUE, applies a weight decreasing with distance from center.</dd>

</dl>

central_concentration: Central Concentration Index for Nominal Variables

Description

Usage

Value

Arguments

Examples