Analysis Of Categorical Data With R May 2026

: 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 relative proportion of each combination of categories. Analysis of categorical data with R

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

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. : For binary outcomes (e.g.