Re: [R] Unsupervised RandomForest

2006-03-08 Thread Liaw, Andy
To be able to do that, at least a couple of matrices of size 6804 x 6804
have to be created, and 1GB RAM is unlikely to be sufficient.

Andy

From: Rich Jacques
> 
> Dear all,
> 
> I am trying to calculate the proximity matrix for a data set 
> with 16 variables and 6804 observations using random forests. 
>  I have a Pentium 4, 3.00GHz processor with 1 GB of RAM.  
> When I use the command
> 
> randomForest(data.scale,proximity=T)
> 
> I get the warning message
> 
> Error: cannot allocate vector of size 361675 kb
> 
> Is this because I have reached the limit of what my computer 
> is capable of? Or is there a more efficient way to call randomForest?
> 
> Thanks in advance,
> 
> Rich Jacques
> 
> -- 
> Rich Jacques   
> Department of Probability & Statistics 
> University of Sheffield
> Hicks Building   
> Sheffield
> S3 7RH
> 
> __
> R-help@stat.math.ethz.ch mailing list 
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> PLEASE do read the posting guide! 
> http://www.R-project.org/posting-guide.html
> 
>

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[R] Unsupervised RandomForest

2006-03-08 Thread Rich Jacques
Dear all,

I am trying to calculate the proximity matrix for a data set with 16 variables
and 6804 observations using random forests.  I have a Pentium 4, 3.00GHz
processor with 1 GB of RAM.  When I use the command

randomForest(data.scale,proximity=T)

I get the warning message

Error: cannot allocate vector of size 361675 kb

Is this because I have reached the limit of what my computer is capable of? Or
is there a more efficient way to call randomForest?

Thanks in advance,

Rich Jacques

-- 
Rich Jacques   
Department of Probability & Statistics 
University of Sheffield
Hicks Building   
Sheffield
S3 7RH

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