[Rd] method dispatch and in-place modification? - unclass, RemoveClass, getDataPart, method dispatch

From: Hin-Tak Leung <hin-tak.leung_at_cimr.cam.ac.uk>
Date: Mon 27 Feb 2006 - 12:28:23 GMT


I have a little problem about method dispatch and "unnessary" copying. Basically what I would like to do is:

`[.myclass` <- function(x, i,j, extraopt=TRUE/FALSE, drop=TRUE) {

   ...do stuff depending on extraopt...
    value <- Nextmethod("[", x, i,j, drop=TRUE)    ... do more stuff depending on extraopt... }

I have two general problems:
(1) NextMethod() really doesn't like having "extraopt" around. (2) I can do "unclass" or "class<-" (they seems to do exactly the same thing with R_set_class()), but it makes a new copy of the object. The object in my case is very large - (about 80MB, and will be 10x higher if I can get away with it) and the copying itself accounts for 97% of the total CPU time consumed - which basically makes it about 30 times slower than it should be. In fact R_set_class says:

> /* set the class to value, and return the modified object.  This is

> NOT a primitive assignment operator , because there is no code in R
> that changes type in place. See the definition of "class<-" in
> the methods package for the use of this code. */

I came upon "RemoveClass()" in R/src/main/object.c which says it is __unused__ but seems to do what I would like it to do.

So I tried a S4 method dispatch mechanism, but it is 3 times *slower* than unclass, and it seems to be due to the switch() statement inside   getDataPart() (in R/src/library/methods/R/RClassUtils.R) which typically copies the object three times? (I think "attributes(value) <- NULL" also copies)

> getDataPart <- 
> function (object)
> {

> ...
> switch(dataPart,
... > array = {
> value <- object
> attributes(value) <- NULL
> attr(value, "dim") <- attr(object, "dim")
> attr(value, "dimnames") <- attr(object, "dimnames")
> object <- value
> },
> ...
> object

> }

The basic question is - is there a way of implementing a method which has extra arguments compared to generic? The other question concerns the "there is no code in R that changes type in place" statement - how can one avoid excessive copying in these two cases? Is it alright to invoke the "RemoveClass()" routine to do a unclass_in_place()? (I did think about doing my own unclass(), but it just seems exactly like what RemoveClass() is!).

Hin-Tak Leung



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https://stat.ethz.ch/mailman/listinfo/r-devel Received on Mon Feb 27 23:33:47 2006

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