NEWS

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nomiShape 1.0.2 (2026-03-21)

New data

• Added two example datasets for textual analysis: • alice: tokenized words from Alice’s Adventures in Wonderland • kafka: tokenized words from The Metamorphosis These datasets can be used to demonstrate rank-frequency (Zipf) plots.

New functions

• rare_plot(): Generates rarefaction curves for nominal variables to explore category accumulation as sampling effort increases. • zipf_rank_plot(): Creates rank-frequency plots comparing observed category frequencies with the expected Zipf distribution. Supports log-log scaling and cumulative proportion filtering.

nomiShape 1.0.0 (2026-02-03)

• Initial CRAN submission.
• Provides tools to visualize and analyze nominal (categorical, unordered) variable distributions.
• Introduces novel centered bar and dot plots, which arrange categories from most frequent at the center outward, allowing detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior — an approach not previously available in R.
• Includes functions to plot, analyze, and perform model comparison using AIC for nominal data shapes.
• Main functions: ranked_barplot(), centered_barplot(), centered_dotplot(), shape_comp_plot(), shape_aic().
• Designed for exploratory data analysis of nominal variables.