I've moved this to R-devel...
On 5/28/2009 8:17 PM, Stavros Macrakis wrote:
I couldn't get your suggested method to work: `==.foo` <- function(a,b) unclass(a)==unclass(b) `>.foo` <- function(a,b) unclass(a) < unclass(b) # invert comparison is.na.foo <- function(a)is.na(unclass(a)) sort(structure(sample(5),class="foo")) #-> 1:5 -- not reversed What am I missing?
There are two problems. First, I didn't mention that you need a method for indexing as well. The code needs to evaluate things like x[i] > x[j], and by default x[i] will not be of class "foo", so the custom comparison methods won't be called. Second, I think there's a bug in the internal code, specifically in do_rank or orderVector1 in sort.c: orderVector1 ignores the class of x. do_rank pays attention when breaking ties, so I think this is an oversight. So I'd say two things should be done: 1. the bug should be fixed. Even if this isn't the most obvious approach, it should work. 2. we should look for ways to make all of this simpler, e.g. allowing a comparison function to be used. I'll take on 1, but not 2. It's hard to work out the right place for the comparison function to appear, and it would require a lot of work to implement, because all of this stuff (sort, rank, order, xtfrm, sort.int, etc.) is closely interrelated, some but not all of the functions are S3 generics, some implemented internally, etc. In the end, I'd guess the results won't be very satisfactory from a performance point of view: all those calls out to R to do the comparisons are going to be really slow. I think your advice to use order() with multiple keys is likely to be much faster in most instances. It's just a better approach in R. Duncan Murdoch
-s
On Thu, May 28, 2009 at 5:48 PM, Duncan Murdoch <murdoch at stats.uwo.ca>wrote:
On 28/05/2009 5:34 PM, Steve Jaffe wrote:
Sounds simple but haven't been able to find it in docs: is it possible to sort a vector using a user-defined comparison function? Seems it must be, but "sort" doesn't seem to provide that option, nor does "order" sfaics
You put a class on the vector (e.g. using class(x) <- "myvector"), then define a conversion to numeric (e.g. xtfrm.myvector) or actual comparison methods (you'll need ==.myvector, >.myvector, and is.na.myvector). Duncan Murdoch
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