rename: Rename columns
In javifar/TIDYVERSE-DPLYR: A Grammar of Data Manipulation

Description Usage Arguments Value Methods See Also Examples

rename() changes the names of individual variables using new_name = old_name syntax; rename_with() renames columns using a function.

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rename(.data, ...)

rename_with(.data, .fn, .cols = everything(), ...)

`.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.
`...`	For `rename()`: <`tidy-select`> Use `new_name = old_name` to rename selected variables. For `rename_with()`: additional arguments passed onto `.fn`.
`.fn`	A function used to transform the selected `.cols`. Should return a character vector the same length as the input.
`.cols`	<`tidy-select`> Columns to rename; defaults to all columns.

An object of the same type as .data. The output has the following properties:

Rows are not affected.
Column names are changed; column order is preserved.
Data frame attributes are preserved.
Groups are updated to reflect new names.

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: \Sexpr[stage=render,results=rd]{dplyr:::methods_rd("rename")}.

Other single table verbs: arrange(), filter(), mutate(), select(), slice(), summarise()

iris <- as_tibble(iris) # so it prints a little nicer
rename(iris, petal_length = Petal.Length)

rename_with(iris, toupper)
rename_with(iris, toupper, starts_with("Petal"))
rename_with(iris, ~ tolower(gsub(".", "_", .x, fixed = TRUE)))