Conditional mutating, case_when | Data untangled: transforming and cleaning data with R (lesson 4)

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Chapters
00:00 Intro
02:11 Datasets
04:15 Introducing case_when
09:31 The TRUE default argument
12:13 Matching NA’s with is.na()
14:34 Keeping default values of a variable
19:02 Multiple conditions, single variable
24:23 Multiple conditions, multiple variables
29:11 Order of priority of conditions
41:00 Binary conditions: dplyr::if_else()
43:35 Wrap up

Learning objectives
1. You can transform or create new variables based on conditions using dplyr::case_when()
2. You know how to use the TRUE condition in case_when() to match unmatched cases.
3. You can handle NA values in case_when() transformations.
4. You understand how to keep the default values of a variable in a case_when() formula
5. You can write case_when() conditions involving multiple comparators and multiple variables.
6. You understand case_when() conditions priority order.
7. You can use dplyr::if_else() for binary conditional assignment.


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