
These advanced operators defuse R expressions.
expr()
, enquo()
, and enquos()
are sufficient for most
purposes but rlang provides these other operations, either for
completeness or because they are useful to experts.
exprs()
is the plural variant of expr()
. It returns a list of
expressions. It is like base::alist()
but with
injection support.
quo()
and quos()
are like expr()
and exprs()
but return
quosures instead of naked expressions. When you are defusing
your own local expressions (by opposition to function arguments
where non-local expressions are supplied by your users), there
is generally no need to attach the current environment in a
quosure. See What are quosures and when are they needed?.
enexpr()
and enexprs()
are like enquo()
and enquos()
but
return naked expressions instead of quosures. These operators
should very rarely be used because they lose track of the
environment of defused arguments.
ensym()
and ensyms()
are like enexpr()
and enexprs()
but
they throw an error when the defused expressions are not simple
symbols. They also support strings which are interpreted as
symbols. These functions are modelled on the behaviour of the
left-hand side of =
and <-
where you can supply symbols and
strings interchangeably.
"foo" <- NULL
list("foo" = NULL)
enquo0
and enquos0()
are like enquo()
and enquos()
but
without injection support. The injection operators !!
, !!!
,
and {{
are not processed, instead they are preserved in the
defused expression. This makes it possible to defuse
expressions that potentially contain injection operators meant
for later use. The trade off is that it makes it harder for
users to inject expressions in your function. They have to
enable injection explicitly with inject()
.
None of the features of dynamic dots are available
when defusing with enquos0()
. For instance, trailing empty
arguments are not automatically trimmed.
enexpr(arg)exprs(
...,
.named = FALSE,
.ignore_empty = c("trailing", "none", "all"),
.unquote_names = TRUE
)
enexprs(
...,
.named = FALSE,
.ignore_empty = c("trailing", "none", "all"),
.ignore_null = c("none", "all"),
.unquote_names = TRUE,
.homonyms = c("keep", "first", "last", "error"),
.check_assign = FALSE
)
ensym(arg)
ensyms(
...,
.named = FALSE,
.ignore_empty = c("trailing", "none", "all"),
.ignore_null = c("none", "all"),
.unquote_names = TRUE,
.homonyms = c("keep", "first", "last", "error"),
.check_assign = FALSE
)
quo(expr)
quos(
...,
.named = FALSE,
.ignore_empty = c("trailing", "none", "all"),
.unquote_names = TRUE
)
enquo0(arg)
enquos0(...)
An unquoted argument name. The expression supplied to that argument is defused and returned.
For enexprs()
, ensyms()
and enquos()
, names of
arguments to defuse. For exprs()
and quos()
, expressions
to defuse.
If TRUE
, unnamed inputs are automatically named
with as_label()
. This is equivalent to applying
exprs_auto_name()
on the result. If FALSE
, unnamed elements
are left as is and, if fully unnamed, the list is given minimal
names (a vector of ""
). If NULL
, fully unnamed results are
left with NULL
names.
Whether to ignore empty arguments. Can be one
of "trailing"
, "none"
, "all"
. If "trailing"
, only the
last argument is ignored if it is empty. Named arguments are not
considered empty.
Whether to treat :=
as =
. Unlike =
, the
:=
syntax supports names injection.
Whether to ignore unnamed null arguments. Can be
"none"
or "all"
.
How to treat arguments with the same name. The
default, "keep"
, preserves these arguments. Set .homonyms
to
"first"
to only keep the first occurrences, to "last"
to keep
the last occurrences, and to "error"
to raise an informative
error and indicate what arguments have duplicated names.
Whether to check for <-
calls. When TRUE
a
warning recommends users to use =
if they meant to match a
function parameter or wrap the <-
call in curly braces otherwise.
This ensures assignments are explicit.
An expression to defuse.
# `exprs()` is the plural variant of `expr()`
exprs(foo, bar, bar)
# `quo()` and `quos()` are the quosure variants of `expr()` and `exprs()`
quo(foo)
quos(foo, bar)
# `enexpr()` and `enexprs()` are the naked variants of `enquo()` and `enquos()`
my_function1 <- function(arg) enexpr(arg)
my_function2 <- function(arg, ...) enexprs(arg, ...)
my_function1(1 + 1)
my_function2(1 + 1, 10 * 2)
# `ensym()` and `ensyms()` are symbol variants of `enexpr()` and `enexprs()`
my_function3 <- function(arg) ensym(arg)
my_function4 <- function(arg, ...) ensyms(arg, ...)
# The user must supply symbols
my_function3(foo)
my_function4(foo, bar)
# Complex expressions are an error
try(my_function3(1 + 1))
try(my_function4(1 + 1, 10 * 2))
# `enquo0()` and `enquos0()` disable injection operators
automatic_injection <- function(x) enquo(x)
no_injection <- function(x) enquo0(x)
automatic_injection(foo(!!!1:3))
no_injection(foo(!!!1:3))
# Injection can still be done explicitly
inject(no_injection(foo(!!!1:3)))
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