# 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.
