Create, modify, and delete columnsSource:
transmute() creates a new data frame containing only the specified
computations. It's superseded because you can perform the same job
mutate(.keep = "none").
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.
data-masking> Name-value pairs. The name gives the name of the column in the output.
The value can be:
A vector of length 1, which will be recycled to the correct length.
A vector the same length as the current group (or the whole data frame if ungrouped).
NULL, to remove the column.
A data frame or tibble, to create multiple columns in the output.
An object of the same type as
.data. The output has the following
Columns created or modified through
...will be returned in the order specified by
Unmodified grouping columns will be placed at the front.
The number of rows is not affected.
Columns given the value
NULLwill be removed.
Groups will be recomputed if a grouping variable is mutated.
Data frame attributes are preserved.
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.
Methods available in currently loaded packages:
tbl_lazy), dplyr (