Dear list,

I'm having second thoughts after solving a very trivial problem: I want to extend the relevel() function to reorder an arbitrary number of levels of a factor in one go. I could not find a trivial way of using the code obtained by getS3method("relevel","factor"). Instead, I thought of solving the problem in a recursive manner (possibly after reading Paul Graham essays on Lisp too recently). Here is my attempt :


order.factor <- function (x, ref)
        {
                
        last.index <- length(ref) # convenience for matlab's end keyword
if(last.index == 1) return(relevel(x, ref)) # end case, normal case of relevel my.new.list <- list(x=relevel(x, ref[last.index]), # creating a list with updated parameters,
                                                                                
                                # going through the list in reverse order
                                                        ref=ref[-last.index]) # 
chop the vector from its last level
        return(do.call(order.factor, my.new.list)) # recursive call
}

ff <- factor(c("a", "b", "c", "d"))
ff
relevel(ff, levels(ff)[1])
relevel(ff, levels(ff)[2]) # that's the usual case: you want to put a level first

order.factor(x=ff, ref=c("a", "b"))
order.factor(x=ff, ref=c("c"))
order.factor(x=ff, ref=c("c", "d")) # that's my wish: put c and d in that order as the first two levels



I'm hoping this can be improved in several aspects:

- there is probably already a better function I missed or overlooked (I'd still be curious about the following points, though)

- after reading a few threads, it appears that some recursive functions are fragile in some sense, and I'm not sure what this means in practice. (Should I use Recall, somehow?)

- it's probably quite slow for large data.frames

- I could not think of a good name, this one might clash with some S3 method perhaps?

- any other thoughts welcome!


Best wishes,

Baptiste
_____________________________

Baptiste AuguiƩ

School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK

Phone: +44 1392 264187

http://newton.ex.ac.uk/research/emag

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