zipf_rank_plot

Generates a rank-frequency plot comparing observed category frequencies
with the expected Zipf distribution (inverse rank relationship).

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

zipf_rank_plot function

<dl><dt>df</dt>
<dd>A data frame containing the nominal variable.</dd>
<dt>var</dt>
<dd>Character string specifying the nominal variable column.</dd>
<dt>max_rank</dt>
<dd>Maximum number of ranks to display. If NULL (default),
all ranks are shown.</dd>
<dt>top_prop</dt>
<dd>Proportion of total observations to retain (0–1). If set,
only the most frequent categories accounting for this cumulative proportion
are displayed. Overrides max_rank.</dd>
<dt>loglog</dt>
<dd>Logical. If TRUE, both axes are displayed on a log10 scale.</dd></dl>

Arguments

Rank-frequency (Zipf) plot for nominal variables — zipf_rank_plot

<dl>

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


<dt>var</dt>
<dd>Character string specifying the nominal variable column.</dd>


<dt>max_rank</dt>
<dd>Maximum number of ranks to display. If NULL (default),
all ranks are shown.</dd>


<dt>top_prop</dt>
<dd>Proportion of total observations to retain (0–1). If set,
only the most frequent categories accounting for this cumulative proportion
are displayed. Overrides max_rank.</dd>


<dt>loglog</dt>
<dd>Logical. If TRUE, both axes are displayed on a log10 scale.</dd>

</dl>

zipf_rank_plot: Rank-frequency (Zipf) plot for nominal variables

Description

Usage

Value

Arguments

Examples