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The `nseval` Package: Utilities for Controlling Non-standard Evaluation |
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nseval
is the missing API for non-standard evaluation and
metaprogramming in R.
nseval
might be for you if:
- You've been befuddled by trying to get your desired results using
functions like
substitute
,eval
,parent.frame()
,do.call
,match.call
, and other cases of non-standard evauation; - You're been befuddled by trying to interface with other people's code that uses the above functions, and need a way to work around them;
- You want to better understand what "goes on" "under the hood" when R is running.
nseval
is on CRAN, install the latest release with:
install.packages("nseval")
To install the development branch:
install.packages("devtools")
devtools::install_github("crowding/nseval")
nseval
introduces two S3 classes: quotation
, and dots
, which
mirror R's promises and ...
, respectively. Unlike their
counterparts, these are ordinary data objects, and can be assigned to
variables and be manipulated without triggering evaluation.
- A
quotation
combines an R expression with an environment. There are alsoforced
quotations, which pair an expression with a value. - A
dots
is a named list of quotations.
There is a set of consistently-named accessors and constructors for capturing, constructing, and manipulating these objects.
- Instead of
quote
, use:quo
. This captures the environment along with the text of its argument.- Similarly,
dots()
captures multiple arguments, analagously toalist
.
- Instead of
substitute(x)
, use:arg(x)
, which captures the argument's environment along with its text.
- Instead of
substitute(list(...))[[2]]
, orsubstitute(...())
, use:dots(...)
, to capture...
unevaluated, including original environments, orarg_list(x, y, (...))
, to include other arguments as well.
- Instead of
match.call
, use:get_call
, which preserves the environment attached to each argument.
- Instead of
do.call
, usedo
, which allows different arguments to be passed from different environments.
- Instead of
parent.frame
, use:arg_env
, which gives the environment attached to an argument (recognizing that this can be different for different arguments!)caller
, which returns the calling environment, likeparent.frame
often does, but avoids the latter's difficulties with lazy evaluation and closures;caller
would rather throw an error than return an incorrect result.
Before R, there was S, and S had some metaprogramming facilities,
exposed by functions like parent.frame
, substitute
, match.call
,
do.call
, quote
, alist
, eval
, and so on. R duplicated that
API. But S did not have lexical scoping, closures, or the notion of an
environment, whereas R has all those things.
In S, lazily evaluated arguments could be evaluated simply by stepping
one step up in the call stack and evaluating them in that context.
This is not the case with R, because environments can come from
different sources via ...
, drop off the stack, and then be
re-activated via closures (and these situations happen frequently
enough in everyday code).
So R has been coping with a metaprogramming API that was not designed with R's capabilities in mind. Because the S interface is not sufficient to model R behavior, we end up with consequences such as:
match.call()
loses information about argument scopes, so normally occurring function calls often can't be captured in a reproducible form;do.call
can't reproduce many situations that occur in normal evaluation in R;parent.frame()
tells you something almost but not entirely unlike what you actually need to know in most situations;- it's difficult to wrap or extend nonstandard-evaluating functions;
- it's difficult to use a nonstandard-evaluating function as an argument to a higher order function;
- any mixture of metaprogramming and
...
rapidly turns painful;
and so on. As a result, R functions that use the S metaprogramming API often end up with unintended behaviors that don't "fit" R: they lose track of variable scope, suffer name collisions, are difficult to compose, etc.
The good news is that you can simply replace most uses of
match.call
, parent.frame
, do.call
and such with their
equivalents from nseval
, and may then have fewer of these kinds of
problems.
nseval
doesn't implement quasiquotation or hygeinic macros or code
coverage or DSLs or interactive debugging. But it is intended to be a
solid foundation to build those kinds of tools on! Watch this space.
nseval
doesn't introduce any fancy syntax -- the only nonstandard
evaluation in its own interface is name lookup and quoting, and
standard-evaluating equivalents are always also present.
nseval
doesn't try and remake all of R's base library, just the parts
about calls and lazy evaluation.
nseval
has no install dependencies and should play well with base R or any
other 'verse.
Some other packages have tread similar ground:
It turns out that R's implementation of lazy evaluation via "promise" objects are effectively a recreation of fexprs with lexical scope On the topic of how to work with fexprs, particularly in combination with lexical scope and environments, John Shutt's 2010 PhD thesis has been helpful.