crate | R Documentation |
crate()
creates functions in a self-contained environment
(technically, a child of the base environment). This has two
advantages:
They can easily be executed in another process.
Their effects are reproducible. You can run them locally with the same results as on a different process.
Creating self-contained functions requires some care, see section below.
crate(.fn, ...)
.fn |
A fresh formula or function. "Fresh" here means that
they should be declared in the call to |
... |
Arguments to declare in the environment of |
They should call package functions with an explicit ::
namespace. This includes packages in the default search path with
the exception of the base package. For instance var()
from the
stats package must be called with its namespace prefix:
stats::var(x)
.
They should declare any data they depend on. You can declare data
by supplying additional arguments or by unquoting objects with !!
.
# You can create functions using the ordinary notation:
crate(function(x) stats::var(x))
# Or the formula notation:
crate(~ stats::var(.x))
# Declare data by supplying named arguments. You can test you have
# declared all necessary data by calling your crated function:
na_rm <- TRUE
fn <- crate(~ stats::var(.x, na.rm = na_rm))
try(fn(1:10))
# For small data it is handy to unquote instead. Unquoting inlines
# objects inside the function. This is less verbose if your
# function depends on many small objects:
fn <- crate(~ stats::var(.x, na.rm = !!na_rm))
fn(1:10)
# One downside is that the individual sizes of unquoted objects
# won't be shown in the crate printout:
fn
# The function or formula you pass to crate() should defined inside
# the crate() call, i.e. you can't pass an already defined
# function:
fn <- function(x) toupper(x)
try(crate(fn))
# If you really need to crate an existing function, you can
# explicitly set its environment to the crate environment with the
# set_env() function from rlang:
crate(rlang::set_env(fn))
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