There is a version of the methods package committed today that does
dispatch in C for these functions. This should considerably speed up
programs that define methods for these functions (specifically, having
methods should only marginally affect the existing computations for the
same function on basic vectors and objects).
This is the first of several steps needed. Not quite all primitives are
handled (only those that use DispatchOrEval internally). And there will
be a few related changes in the methods structure to add a bit more
speed. A couple of points of strategy should be discussed, preferably
before version 1.4 is frozen. I'll try to post a note on these in the
near future.
When writing methods for primitives, it's currently a bit of a trick to
find the formal argument list, since R currently just returns NULL for
args(f) if f is a primitive. (We may need to make some change here.)
Two that are worth noting are "[" and "[[" (and the
corresponding "[<-"
and "[[<-"):
> args(getGeneric("["))
function (x, i = NULL, j = NULL, ..., drop = TRUE)
NULL> args(getGeneric("[["))
function (x, i = NULL, ...)
NULL
The i,j arguments are there so we can, e.g., define methods that
dispatch on the column argument for data-frame-like objects in the
future.
If you're fussing about efficiency, it's slightly better to make sure
you define methods with all the formal arguments (and anyway, it's
cleaner code).
John
--
John M. Chambers jmc@bell-labs.com
Bell Labs, Lucent Technologies office: (908)582-2681
700 Mountain Avenue, Room 2C-282 fax: (908)582-3340
Murray Hill, NJ 07974 web: http://www.cs.bell-labs.com/~jmc
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