Description Usage Arguments Value Scoped selection and renaming Methods See Also Examples
View source: R/dplyr_methods.R
Rename individual variables using 'new_name = old_name' syntax.
1 |
.data |
A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See *Methods*, below, for more details. |
... |
<['tidy-select'][dplyr_tidy_select]> Use 'new_name = old_name' to rename selected variables. |
An object of the same type as '.data'. * Rows are not affected. * Column names are changed; column order is preserved * Data frame attributes are preserved. * Groups are updated to reflect new names.
Use the three scoped variants ([rename_all()], [rename_if()], [rename_at()]) to renaming a set of variables with a function.
This function is a **generic**, which means that packages can provide implementations (methods) for other classes. See the documentation of individual methods for extra arguments and differences in behaviour.
The following methods are currently available in loaded packages:
Other single table verbs:
arrange()
,
filter()
,
mutate()
,
summarise()
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Attaching package: ‘tidybulk’
The following object is masked from ‘package:stats’:
filter
# A tibble: 150 x 5
Sepal.Length Sepal.Width petal_length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
7 4.6 3.4 1.4 0.3 setosa
8 5 3.4 1.5 0.2 setosa
9 4.4 2.9 1.4 0.2 setosa
10 4.9 3.1 1.5 0.1 setosa
# … with 140 more rows
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