[R] recursive relevel
Dimitris Rizopoulos
d.rizopoulos at erasmusmc.nl
Fri Jan 9 15:26:00 CET 2009
I think that you can still use to core of stats:::relevel.factor; the
only thing that needs to be changed is the controls for bad values of
the 'ref' argument, i.e.,
relevelNew <- function (x, ref, ...) {
lev <- levels(x)
if (is.character(ref))
ref <- match(ref, lev)
if (any(is.na(ref)))
stop("'ref' must be an existing level")
nlev <- length(lev)
if (any(ref < 1 | ref > nlev))
stop(gettextf("ref = %d must be in 1:%d", ref, nlev), domain = NA)
factor(x, levels = lev[c(ref, seq_along(lev)[-ref])])
}
ff <- factor(c("a", "b", "c", "d"))
ff
relevelNew(ff, "c")
relevelNew(ff, c("c", "d"))
I hope it helps.
Best,
Dimitris
baptiste auguie wrote:
> 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 Auguié
>
> 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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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
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