Analysis Of Categorical Data With R -

For more advanced categorical analysis, these packages are widely used:

: Provides functions for multivariate categorical data analysis using the Akaike Information Criterion (AIC). Categorical Data Descriptive Statistics Analysis of categorical data with R

: Standard bar plots can be created with base R's barplot() or the ggplot2 package using geom_bar() . For more advanced categorical analysis, these packages are

: Provides advanced tools for visualizing categorical data, including mosaic and association plots. confreq : Designed for Configural Frequency Analysis (CFA). For more advanced categorical analysis

: Useful for visualizing contingency tables, showing the relative proportion of each combination of categories.

: Functions like factor() or as.factor() convert character vectors into categorical variables.