Using na.rm in R

Steven Sanderson handles missing information in the best way possible—by ignoring it:

Missing values are a common challenge in data analysis, and R provides robust tools for handling them. The na.rm parameter is one of R’s most essential features for managing NA values in your data. This comprehensive guide will walk you through everything you need to know about using na.rm effectively in your R programming journey.

Read on for several examples of how na.rm works.