Of Categorical Data With R: Analysis

: Use chisq.test() to determine if there is a significant association between two categorical variables.

: Display changes or flows between categorical variables over time using the ggalluvial package . Inferential Statistics and Modeling Analysis of categorical data with R

: The table() function generates counts for each category. : Use chisq

In R, categorical data is stored using the factor class. While string variables can be treated as text, converting them to factors ensures they are correctly interpreted in statistical models. Analysis of categorical data with R

Descriptive analysis focuses on summarizing frequency and distribution.

: Standard bar plots can be created with base R's barplot() or the ggplot2 package using geom_bar() .

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