Analysis Of Categorical Data With R 🔔 👑

: 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

: Provides advanced tools for visualizing categorical data, including mosaic and association plots. confreq : Designed for Configural Frequency Analysis (CFA). 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. : By default, R orders levels alphabetically

Visual tools help identify patterns and relationships between categories. : By default