Steven Sanderson is about to cut somebody:
In the realm of data analysis, understanding how to effectively segment your data is paramount. Whether you’re dealing with age groups, income brackets, or any other continuous variable, the ability to categorize your data can provide invaluable insights. In R, the
cut()function is a powerful tool for precisely this purpose. In this guide, we’ll explore how to harness the full potential ofcut()to slice and dice your data with ease.
Read on for examples of how to use the cut() function.