: Specialized for working with factors and reordering levels.
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 Analysis of categorical data with R
: Use chisq.test() to determine if there is a significant association between two categorical variables. : Specialized for working with factors and reordering levels
: Used for analyzing associations in multi-way contingency tables. Recommended Packages such as gender
For more advanced categorical analysis, these packages are widely used: