[BioC] error in using random forest
Naomi Altman
naomi at stat.psu.edu
Tue Mar 6 19:09:40 CET 2012
Do you have sample ids? These could be the offending variables.
--Naomi
At 11:28 AM 3/6/2012, Martin Morgan wrote:
>On 03/06/2012 08:17 AM, Salwa Eid wrote:
>>
>>
>>
>>
>>Hello everyone, I have tried using random forest as classifier
>>for two classes. My data consists of 58 samples and each one of
>>them belongs one of the two classes. When I tried runnng the
>>random forest for the 58 samples, it gave me the followng error:
>>Error in randomForest.default(m,y,...): Can not handle categorical
>>predctors wth more than 32 categories. Although I have only 2
>>classes only. When i tried running it on 32 or less samples, it
>>worked but when increased the samples, gave me this error. I
>>thought maybe there is a limitations to the input data but the iris
>>example has 150 samples and it works just fine. Any help?
>>regards,salwa
>> [[alternative HTML version deleted]]
>
>likely your data is not formatted correctly, perhaps confusing
>factor and level. But without a reproducible example it is hard to help. Martin
>
>>
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>
>
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