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.
nomiShape provides tools for visualizing and summarizing nominal (categorical, unordered) variables, with a focus on understanding the shape of categorical frequency distributions rather than relying on arbitrary category ordering.
The package introduces centered frequency plots, where categories are ordered from the most frequent at the center toward less frequent categories on both sides. This design helps reveal patterns such as dominance, uniformity, symmetry, skewness, and long-tail behavior in nominal data.
The package is designed for exploratory data analysis, teaching, and methodological research, and produces ggplot2-compatible visualizations.
nomiShape 1.0.0 available on CRAN! 🎉
You can install the released version from CRAN:
install.packages("nomiShape")
library(nomiShape)