Steven Sanderson plays duck-duck-goose with the data:
Data manipulation is a cornerstone of R programming, and selecting specific columns from data frames is one of the most common tasks analysts face. While modern tidyverse packages offer elegant solutions, Base R’s
subset()function remains a powerful and efficient tool that every R programmer should master.This comprehensive guide will walk you through everything you need to know about using
subset()to manage columns in your data frames, from basic operations to advanced techniques.
Click through for a description of the function and examples of it in action.