Analysis Of Categorical Data With R <BEST × Anthology>

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

: By default, R orders levels alphabetically. For ordinal data (e.g., "Low", "Medium", "High"), you can define a specific order using the levels argument in factor() or functions in the forcats package . Descriptive Statistics 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. : Useful for visualizing contingency tables, showing the

Visual tools help identify patterns and relationships between categories. : Useful for visualizing contingency tables

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