: Provides functions for multivariate categorical data analysis using the Akaike Information Criterion (AIC). Categorical Data Descriptive Statistics
: Used for analyzing associations in multi-way contingency tables. Recommended Packages Analysis of categorical data with R
Inferential methods allow researchers to test hypotheses about categorical relationships in a population. such as gender
: Use prop.table() on a frequency table to find proportions. Multiplying by 100 provides percentages. Analysis of categorical data with R
: Provides advanced tools for visualizing categorical data, including mosaic and association plots. confreq : Designed for Configural Frequency Analysis (CFA).
Analysis of categorical data in R involves specialized techniques for variables that represent qualitative characteristics, such as gender, region, or recovery status. Unlike continuous numerical data, categorical data—referred to as in R—is divided into discrete groups or "levels". Data Representation and Handling