arrange_all: Arrange rows by a selection of variables
In olascodgreat/samife: A Grammar of Data Manipulation

Description Usage Arguments Examples

These scoped variants of arrange() sort a data frame by a selection of variables. Like arrange(), you can modify the variables before ordering with funs().

arrange_all(.tbl, .funs = list(), ..., .by_group = FALSE)

arrange_at(.tbl, .vars, .funs = list(), ..., .by_group = FALSE)

arrange_if(.tbl, .predicate, .funs = list(), ..., .by_group = FALSE)

`.tbl`	A `tbl` object.
`.funs`	List of function calls generated by `funs()`, or a character vector of function names, or simply a function. Bare formulas are passed to `rlang::as_function()` to create purrr-style lambda functions. Note that these lambda prevent hybrid evaluation from happening and it is thus more efficient to supply functions like `mean()` directly rather than in a lambda-formula.
`...`	Additional arguments for the function calls in `.funs`. These are evaluated only once, with tidy dots support.
`.by_group`	If `TRUE`, will sort first by grouping variable. Applies to grouped data frames only.
`.vars`	A list of columns generated by `vars()`, a character vector of column names, a numeric vector of column positions, or `NULL`.
`.predicate`	A predicate function to be applied to the columns or a logical vector. The variables for which `.predicate` is or returns `TRUE` are selected. This argument is passed to `rlang::as_function()` and thus supports quosure-style lambda functions and strings representing function names.

df <- as_tibble(mtcars)
df
arrange_all(df)

# You can supply a function that will be applied before taking the
# ordering of the variables. The variables of the sorted tibble
# keep their original values.
arrange_all(df, desc)
arrange_all(df, funs(desc(.)))