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nomiShape 1.0.0

• 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.

nomiShape 1.0.2

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.