2
Data Manipulation Basics
Master data manipulation using dplyr, understand tibbles and R data types, and learn how R compares to SAS DATA step logic.
Progress
0 of 5 objectives
Learning Objectives
Objective 1
Understand tibbles and R data types (character, numeric, logical, date)
Objective 2
Use dplyr functions: filter, select, mutate, arrange for data manipulation
Objective 3
Compare R data wrangling operations with SAS DATA step logic
Objective 4
Practice deriving clinical variables like elderly flag
Objective 5
Apply best practices for readable and efficient data transformations