3 Processing Tabular Data
Chapter 03
Processing Tabular Data
- Single Table Verbs
- Select and rename
- The pipe operator
- Filter
- Arrange
- Mutate and transmute
- Application
- Summarizing
- Counts
- Summary functions
- Pivoting Data
- Joining Tables
- Practice
Note 3.1
Since I already know quite a bit about this topic, I skipped it. There are, therefore, no notes on it.
But I have two remarks:
- I am going to use the native pipe, provided with R 4.1.0. This are important differences to the {magrittr} pipe. See
- Hadley Wickham in the Tidyverse (“Differences between the base R and magrittr pipes”),
- Kathie Press (“Replacing the Magrittr Pipe With the Native R Pipe”)
- Geek for Geeks (“What are the differences between R’s native pipe
|>
and the {magrittr} pipe%>%
?”) - Isabella Velásquez (“Understanding the native R pipe
|>
”) - StackOverflow (“What are the differences between R’s native pipe
|>
and the {magrittr} pipe%>%
?”) - Yihui Xie (“Substitute the magrittr Pipe
%>%
with R’s Native Pipe Operator|>
”) - R Bloggers (The new R pipe)
- Statistik Dresden (“R 4.1.0: Base R Pipe!
|>
”) in German
dplyr::transmute()
is superseded because you can perform the same job withmutate(.keep = "none")
.