: Used for analyzing associations in multi-way contingency tables. Recommended Packages
: Display changes or flows between categorical variables over time using the ggalluvial package . Inferential Statistics and Modeling Analysis of categorical data with R
Inferential methods allow researchers to test hypotheses about categorical relationships in a population. : Used for analyzing associations in multi-way contingency
: The table() function generates counts for each category. Analysis of categorical data with R
: For binary outcomes (e.g., "Success/Failure"), the glm() function with family = binomial is the standard for modeling how predictors influence the probability of an outcome.
: Provides functions for multivariate categorical data analysis using the Akaike Information Criterion (AIC). Categorical Data Descriptive Statistics
Visual tools help identify patterns and relationships between categories.