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dplyr: mutate
dplyr in r | dplyr mutate example | dplyr mutate add multiple columns | dplyr mutate drop column
R programming | Using mutate() function of dplyr in R
How to use mutate function in R Tidyverse (dplyr package) | R Programming Guide | Data Mining in R
2.8 Conditional mutates with if_else and case_when + the or operator |
dplyr: mutate function
Mutating values | Data untangled: transforming and cleaning data with R (lesson 3)
Adding new variables to a data.frame with mutate (dplyr)
Conditional mutating, case_when | Data untangled: transforming and cleaning data with R (lesson 4)
R programming tutorial | Creating a New Column Based on Some Condition using mutate() in R
dplyr::mutate() | How to use dplyr mutate function | R Programming
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Last Updated: October 1, 2026
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Summary
The case_when function is a generalized if-else statement that's super useful when adding or modifying columns in Summary: Learn how to accurately merge columns from two Learn how to dynamically generate multiple columns in a R programming Section 6. Dplyr in R. Lecture 4. Using If month so this is the test equals February don't forget that doubles a double equals so if that is the This video covers how to use the See imsmwu.github.io/MRDA2018/_book/ In this R programming tutorial, we give you a small course on the basics of the