lift | R Documentation |

`lift_xy()`

is a composition helper. It helps you compose
functions by lifting their domain from a kind of input to another
kind. The domain can be changed from and to a list (l), a vector
(v) and dots (d). For example, `lift_ld(fun)`

transforms a
function taking a list to a function taking dots.

The most important of those helpers is probably `lift_dl()`

because it allows you to transform a regular function to one that
takes a list. This is often essential for composition with purrr
functional tools. Since this is such a common function,
`lift()`

is provided as an alias for that operation.

These functions were superseded in purrr 1.0.0 because we no longer believe "lifting" to be a mainstream operation, and we are striving to reduce purrr to its most useful core. Superseded functions will not go away, but will only receive critical bug fixes.

lift(..f, ..., .unnamed = FALSE) lift_dl(..f, ..., .unnamed = FALSE) lift_dv(..f, ..., .unnamed = FALSE) lift_vl(..f, ..., .type) lift_vd(..f, ..., .type) lift_ld(..f, ...) lift_lv(..f, ...)

`..f` |
A function to lift. |

`...` |
Default arguments for |

`.unnamed` |
If |

`.type` |
Can be a vector mold specifying both the type and the
length of the vectors to be concatenated, such as |

A function.

`list(...)`

or `c(...)`

Here dots should be taken here in a figurative way. The lifted
functions does not need to take dots per se. The function is
simply wrapped a function in `do.call()`

, so instead
of taking multiple arguments, it takes a single named list or
vector which will be interpreted as its arguments. This is
particularly useful when you want to pass a row of a data frame
or a list to a function and don't want to manually pull it apart
in your function.

`c(...)`

to `list(...)`

or `...`

These factories allow a function taking a vector to take a list
or dots instead. The lifted function internally transforms its
inputs back to an atomic vector. purrr does not obey the usual R
casting rules (e.g., `c(1, "2")`

produces a character
vector) and will produce an error if the types are not
compatible. Additionally, you can enforce a particular vector
type by supplying `.type`

.

`lift_ld()`

turns a function that takes a list into a
function that takes dots. `lift_vd()`

does the same with a
function that takes an atomic vector. These factory functions are
the inverse operations of `lift_dl()`

and `lift_dv()`

.

`lift_vd()`

internally coerces the inputs of `..f`

to
an atomic vector. The details of this coercion can be controlled
with `.type`

.

`invoke()`

### Lifting from ... to list(...) or c(...) x <- list(x = c(1:100, NA, 1000), na.rm = TRUE, trim = 0.9) lift_dl(mean)(x) # You can also use the lift() alias for this common operation: lift(mean)(x) # now: exec(mean, !!!x) # Default arguments can also be specified directly in lift_dl() list(c(1:100, NA, 1000)) |> lift_dl(mean, na.rm = TRUE)() # now: mean(c(1:100, NA, 1000), na.rm = TRUE) # lift_dl() and lift_ld() are inverse of each other. # Here we transform sum() so that it takes a list fun <- sum |> lift_dl() fun(list(3, NA, 4, na.rm = TRUE)) # now: fun <- function(x) exec("sum", !!!x) exec(sum, 3, NA, 4, na.rm = TRUE) ### Lifting from c(...) to list(...) or ... # In other situations we need the vector-valued function to take a # variable number of arguments as with pmap(). This is a job for # lift_vd(): pmap_dbl(mtcars, lift_vd(mean)) # now pmap_dbl(mtcars, \(...) mean(c(...))) ### Lifting from list(...) to c(...) or ... # This kind of lifting is sometimes needed for function # composition. An example would be to use pmap() with a function # that takes a list. In the following, we use some() on each row of # a data frame to check they each contain at least one element # satisfying a condition: mtcars |> pmap_lgl(lift_ld(some, partial(`<`, 200))) # now mtcars |> pmap_lgl(\(...) any(c(...) > 200))

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