[R] Splitting a categorical variable into multiple variables

[Bert Gunter]

... or if you want to keep the unchanged levels the same:

zz <- factor(ifelse( z %in% c("a", "b"),"d" ,levels(z)[z]))

-- Bert

On Fri, Aug 9, 2013 at 7:35 AM, Bert Gunter <bgunter at gene.com> wrote:
> If I understand what you mean, just recode them.
>
> z <- factor(letters[1:3])
> z
> zz <- factor(ifelse( z %in% c("a", "b"),"d" ,z))
> zz
>
> Cheers,
> Bert
>
> On Fri, Aug 9, 2013 at 7:10 AM, Claus O'Rourke <claus.orourke at gmail.com> wrote:
>> Hello R-Help,
>> I have a variable with > 32 levels and I'd like to split this into two
>> variables such that both new variables have >= 32 variables. This is
>> to handle the limit of 32 level predictor variables in R's Random
>> Forest implementation. Might someone be able to suggest an elegant way
>> to do this? I've tried googling for this, but haven't hit the right
>> search terms.
>>
>> Regards
>>
>> ______________________________________________
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>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> Internal Contact Info:
> Phone: 467-7374
> Website:
> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm