How r handles missing values?



How r handles missing values?..

Answer / Raghavendra Mohan

R provides several ways to handle missing data (NA) in a dataset. NA values are treated as missing, and R has functions like `is.na()` to check if a value is missing, `sum()`, `mean()`, etc., that automatically ignore missing values when calculating results. Additionally, you can use various imputation techniques to fill missing values using mean, median, or more sophisticated methods.

Is This Answer Correct ?    0 Yes 0 No

Post New Answer

More R Programming Interview Questions

What is s3 in r?

1 Answers  


Explain What is R?

1 Answers  


Explain the usage of which() function in r language?

1 Answers  


How many tools for debugging present in r?

1 Answers  


Explain the type of clustering in R?

1 Answers  


What is a random walk model and how can you simulate it using r?

1 Answers  


What is the apply() family in r?

1 Answers  


Give the command to check if the element 15 is present in vector x?

1 Answers  


What is variance in r?

1 Answers  


What does tcp/ip work?

1 Answers  


How to compile and run code in R?

1 Answers  


Explain in brief preliminaries of C/C++?

1 Answers  


Categories