I'm defining functions in a loop and trying to force evaluation of a loop variable without having to carry around a private environment.
Example: a set of functions handlers$h1
, handlers$h2
, ..., handlers$h6
that just pass through the 1, 2, ..., 6 to another function like so:
handlers <- list()
for (i in 1:6) {
handlers[[paste0('h', i)]] <- function () {
message(i) # <-- example
}
}
So handlers$h1()
should message 1, handlers$h2()
should message 2, ...
Instead, all of the functions return 6
, the current value of i
.
To get around this I can use a closure as specified in this question
msg <- function(i) {
force(i)
function () { message(i) }
}
for (i in 1:6) {
handlers[[paste0('h', i)]] <- msg(i)
}
Now each function works as expected, but each function has to carry around its own environment:
handlers$h1
# function () { message(i) }
# <environment: 0x9342b80>
How can I make it so that handlers$h1
prints function () { message(1) }
, i.e. evaluates the i
and substitutes it directly into the definition, removing the need for the environment?
The only ways I can think of are to:
- use
eval
(something I prefer not to do); - write out each definition by hand with the 1-6 substituted directly (fine in this case where there are only 6 functions, but in general not scalable)
Unfortunately base R lacks a function for making functions by hand, but pryr supplies
make_function
:Note the use of
substitute
to manually modify a quoted call.Another cool (IMO!) function in pryr is
unenclose
, which unencloses a function by substituting in the variables defined in the enclosing environment:But their really is no downside to using the original closure.
Here are some approaches that use
body<-
You could use
bquote
or
substitute
Here are two ways. They are the same except for the ## line in each:
formals<-
trace