The natural interpretation would
be for the signature of the generic to be the second argument
(primitives don't intrinsically have argument names, so we would make
one up, `seq` is used in the documentation, although something like
`object` would be more suggestive).
Your comments about coercing are unclear and you showed no examples of
what supposedly went wrong. In fact, that approach works fine:
setClass("foo",representation(bar="list"))
setAs("foo","list",function(from)from at bar)
xx = new("foo", bar = list(1,2,3))
as(xx, "list")
[[1]]
[1] 1
[[2]]
[1] 2
[[3]]
[1] 3
for(i in as(xx, "list")) dput(i)
1
2
3
Of course, this is not exactly defining methods for the iterator, but
would be a sensible workaround in practice.
Along the same lines, if one asks how the underlying ideas fit naturally
into R, as opposed to making R behave more like other languages, here's
my take on that. The `for` operator is defined to work on vectors of
various kinds. If a new class is supposed to be "like" a vector, then
the two natural choices are to define a method to coerce it to a vector
(as in the example above) or to make it a subclass of "vector" (or of a
specific vector class):
setClass("baz", contains = "vector")
yy = new("baz", list(1,2,3))
for(i in yy) dput(i)
1
2
3
Which choice works best depends on what the "real" meaning of the class
is (there's discussion of these and other alternatives in section 9.3 of
"Software for Data Analysis").
John Chambers
Stavros Macrakis wrote:
Inspired by Rudolf Biczok's query of Fri, Jan 23, 2009 at 1:25 AM, I
tried to implement iteration in a generic way using S4. (Though I am
admittedly still struggling with learning S4.)
setClass("foo",representation(bar="list"))
x<-new("foo",bar=list(1,2,3))
Given this, I would not expect for(i in x)... to work, since R has no
way of knowing that x at bar should be used as is. What would it do if
the representation included two lists? What if list(1,2,3) is used by
the class foo to represent something else?
But I did hope that I could put in place some definitions so that the
*class* could define an iterator.
First I tried overloading `for` to allow the definition of iterator
classes, but as a primitive function, `for` cannot be overloaded.
Then I tried to see how the Containers package handles iterators:
library(Containers);.jinit();.jpackage("Containers")
ah = MaxHeap(); ah$insert(3)
for (i in ah) print(i)
[[1]]
[1] NA
Bit it appears that the Containers package's Iterators don't interface
with R's `for` or type conversion system.
So I gave up on iterators, but thought I'd try automatic conversion to lists.
So I defined an automatic conversion from foo to list, since `for`'s
seq argument is specified as "An expression evaluating to a vector
(including a list...)":
setAs("foo","list",function(from)from at bar)
This and various variants (using "numeric" or "vector" instead of
"list") all give errors. Is there perhaps some 'sequence' superclass
that I am ignorant of?
I *was* able to overload lapply:
setMethod("lapply","foo",function(X,FUN,...) lapply(X at bar,FUN,...))
lapply(x,dput); NULL
1
2
3
NULL
but of course that doesn't affect `for` and other places that expect sequences.
Is there in fact some generic way to handle define iterators or
abstract sequences in R?
-s