juniorR
How are NA values handled in R?
Updated May 24, 2026
Short answer
NA represents missing values in R.
Deep explanation
Functions like na.omit() and is.na() help manage missing data.
Real-world example
Cleaning survey datasets with missing responses.
Common mistakes
- Using equality checks instead of is.na().
Follow-up questions
- What is na.rm?
- Difference between NA and NULL?