tail_index

Computes the proportion of categories contributing to the lower part of the distribution.
Useful to quantify long-tail structure in nominal distributions.

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

tail_index 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>threshold</dt>
<dd>Numeric. Cumulative proportion of counts defining the "dominant" categories (default 0.8).</dd></dl>

Arguments

Tail Index for Nominal Variables — tail_index

<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>threshold</dt>
<dd>Numeric. Cumulative proportion of counts defining the "dominant" categories (default 0.8).</dd>

</dl>

tail_index: Tail Index for Nominal Variables

Description

Usage

Value

Arguments

Examples