arrange_all {dplyr} | R Documentation

## Arrange rows by a selection of variables

### Description

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()`.

### Usage

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

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

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

### Arguments

`.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 explicit splicing.
`.vars` | A list of columns generated by `vars()`, or a character vector of column names, or a numeric vector of column positions.
`.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.

### Examples

    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(.)))

[Package dplyr version 0.7.0 Index]