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Unless you need
curry()
orcurry_fn()
, you should use the more versatile gestalt package, which includesfn()
.
Low-Cost Anonymous Functions
nofrills is a lightweight R package that provides
fn()
, a more powerful variation of function()
that:
costs less — enables tidyverse quasiquotation so you don’t pay the price of functional impurity
has the same great taste — supports a superset
of function()
’s syntax and capabilities
is less filling —
fn(x, y = 1 ~ x + y)
is equivalent to
function(x, y = 1) x + y
install.packages("nofrills")
Alternatively, install the development version from GitHub:
# install.packages("devtools")
::install_github("egnha/nofrills") devtools
function()
but shorterfn(x ~ x + 1)
#> function (x)
#> x + 1
fn(x, y ~ x + y)
#> function (x, y)
#> x + y
fn(x, y = 2 ~ x + y)
#> function (x, y = 2)
#> x + y
fn(x, y = 1, ... ~ log(x + y, ...))
#> function (x, y = 1, ...)
#> log(x + y, ...)
# the only exception, cf. alist()
fn(x, ... = , y ~ log(x + y, ...))
#> function (x, ..., y)
#> log(x + y, ...)
fn(~ NA)
#> function ()
#> NA
<- 0
z
fn(x, y = !!z ~ x + y)
#> function (x, y = 0)
#> x + y
fn(x ~ x > !!z)
#> function (x)
#> x > 0
<- "y"
arg
fn(x, !!arg := 0 ~ x + !!as.name(arg))
#> function (x, y = 0)
#> x + y
<- alist(x, y = 0)
args
fn(!!!args, ~ x + y) # note the one-sided formula
#> function (x, y = 0)
#> x + y
QUQ()
, QUQS()
library(dplyr)
<- quote(mean)
summariser
<- fn(df, ... ~ {
my_summarise <- quos(...)
group_by %>%
df group_by(QUQS(group_by)) %>%
summarise(a = (!!summariser)(a))
})
my_summarise#> function (df, ...)
#> {
#> group_by <- quos(...)
#> df %>% group_by(`!!!`(group_by)) %>% summarise(a = mean(a))
#> }
(Source: Programming with dplyr)
curry_fn()
The syntax is the same as fn()
. Using the literal
unquoting operators QUQ()
, QUQS()
, you can
“delay” unquoting to embed argument values in the innermost
function:
<- curry_fn(target, x ~ identical(x, QUQ(target)))
compare_to <- compare_to("this")
is_this
# The embedded value "this" renders the source comprehensible
is_this#> function (x)
#> identical(x, "this")
#> <environment: 0x7fdc55943678>
curry()
curry(function(x, y, z = 0) x + y + z)
#> function (x)
#> function(y) function(z = 0) x + y + z
<- curry(`*`)(2)
double double(3)
#> [1] 6
Functions in R are generally impure, i.e., the return value of a function will not in general be determined by the value of its inputs alone. This is because a function may depend on mutable objects in its lexical scope. Normally this isn’t an issue. But if you are working interactively and sourcing files into the global environment, say, or using a notebook interface (like Jupyter or R Notebook), it can be tricky to ensure that you haven’t unwittingly mutated an object that an earlier function depends upon.
Consider the following function:
<- 1
a <- function(x) x + a foo
What is the value of foo(1)
? It is not necessarily
2
because the value of a
may have changed
between the creation of foo()
and the
calling of foo(1)
:
foo(1)
#> [1] 2
<- 0
a
foo(1)
#> [1] 1
In other words, foo()
is impure because the value of
foo(x)
depends not only on the value of x
but
also on the externally mutable value of
a
.
fn()
enables you to write pure(r)
functions by using quasiquotation to eliminate such indeterminacy.
With fn()
, you can unquote a
to capture
its value at the point of creation:
<- 1
a <- fn(x ~ x + !!a) foo
Now foo()
is a pure function, unaffected by changes in
its lexical scope:
foo(1)
#> [1] 2
<- 0
a
foo(1)
#> [1] 2
Alternative anonymous-function constructors (which don’t support quasiquotation) include:
The rlang package by Lionel Henry and Hadley Wickham makes nofrills possible. Crucially, rlang provides the engine for quasiquotation and expression capture.
MIT Copyright © 2017–22 Eugene Ha
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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