: Display changes or flows between categorical variables over time using the ggalluvial package . Inferential Statistics and Modeling
: The table() function generates counts for each category. Analysis of categorical data with R
: Provides advanced tools for visualizing categorical data, including mosaic and association plots. confreq : Designed for Configural Frequency Analysis (CFA). : Display changes or flows between categorical variables
: Use prop.table() on a frequency table to find proportions. Multiplying by 100 provides percentages. Analysis of categorical data with R
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.
Inferential methods allow researchers to test hypotheses about categorical relationships in a population.