dplyr::mutate() currently drops attributes, but we need to keep them around
for other skim behaviors. Otherwise the behavior is exactly the same. For
more information, see https://github.com/tidyverse/dplyr/issues/3429.
# S3 method for skim_df
mutate(.data, ...)A skim_df object, which also inherits the class(es) of the input
data. In many ways, the object behaves like a tibble::tibble().
A skim_df, which behaves like a tbl.
Name-value pairs of expressions, each with length 1 or the same
length as the number of rows in the group, if using dplyr::group_by(), or
in the entire input (if not using groups). The name of each argument will
be the name of a new variable, and the value will be its corresponding
value. Use NULL value in dplyr::mutate() to drop a variable. New
variables overwrite existing variables of the same name.
The arguments in ... are automatically quoted with rlang::quo() and
evaluated with rlang::eval_tidy() in the context of the data frame. They
support unquoting rlang::quasiquotation and splicing. See
vignette("programming", package = "dplyr") for an introduction to these
concepts.
dplyr::mutate() for the function's expected behavior.