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Profiling and Benchmarking R Code
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.
Developer time vs Execution time: When should you refactor your R code for speed? (CC028)
In this screencast tutorial, Pat Schloss shows how you can profile R code to identify bottlenecks with the profvis package and ...