Performance optimization is essential for ensuring that R code runs efficiently, especially with large datasets. Learning profiling and benchmarking strategies helps users identify bottlenecks and improve the speed of their analyses.

R 4.1.0: Base R Pipe Has Arrived! Use Cases, Benchmark vs. magrittr

Benchmarking R functions for joining data frames (CC292)

Developer time vs Execution time: When should you refactor your R code for speed? (CC028)