transmute function

Create, modify, and delete columns

transmute() creates a new data frame containing only the specified computations. It's superseded because you can perform the same job with mutate(.keep = "none").

transmute(.data, ...)

Arguments

• .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.

• ...: <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.

Returns

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

• 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 NULL will be removed.
• Groups will be recomputed if a grouping variable is mutated.
• Data frame attributes are preserved.

Methods

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: dplyr:::methods_rd("transmute") .