Analysis — Of Categorical Data With R

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

For more advanced categorical analysis, these packages are widely used: Analysis of categorical data with R

: Use chisq.test() to determine if there is a significant association between two categorical variables. : Functions like factor() or as

: Cross-tabulating two or more variables can be done with table() or the crosstab() function from the descr package . Data Visualization Analysis of categorical data with R

: Used for analyzing associations in multi-way contingency tables. Recommended Packages

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

Descriptive analysis focuses on summarizing frequency and distribution.