R help - Mar 2006 - missing value replacement for test data in random forest

Hi,
 
In R, how to do missing value replacement for test data in randome forest in the
way Breiman decribed.
 
thanks in advance
 
iris

HI, 
  I have data set of 30000 record with 162 features. when I try to fill out the
missing values using rfImpute(), I got kicked out becz:
tra.imputed <- rfImpute(tra.na[,-163],tra.na[,163],iter=5,ntree=10)
Error in matrix(0, n, n) : cannot allocate vector of length 900000000
 
I wonder how to set the parameters(nrnn) for computing the PROXIMITY.
thanks
iris

	-----Original Message----- 
	From: Zhu Ailing 
	Sent: Wed 3/29/2006 11:41 AM 
	To: 'r-help at lists.R-project.org' 
	Cc: 
	Subject: missing value replacement for test data in random forest
	
	
	Hi,
	 
	In R, how to do missing value replacement for test data in randome forest in
the way Breiman decribed.
	 
	thanks in advance
	 
	iris

The current randomForest package stores the entire proximity matrix (30000 x
30000 in your case), which is needed for imputation.  Breiman and Cutler's
Fortran code stores the largest nrnn element of each row.  If you really
want to do it that way, use the Fortran version.

Andy

From: Zhu Ailing
> 
> HI, 
>   I have data set of 30000 record with 162 features. when I 
> try to fill out the missing values using rfImpute(), I got 
> kicked out becz:  
> tra.imputed <- rfImpute(tra.na[,-163],tra.na[,163],iter=5,ntree=10)
> Error in matrix(0, n, n) : cannot allocate vector of length 900000000
>  
> I wonder how to set the parameters(nrnn) for computing the 
> PROXIMITY. thanks iris
> 
> 	-----Original Message----- 
> 	From: Zhu Ailing 
> 	Sent: Wed 3/29/2006 11:41 AM 
> 	To: 'r-help at lists.R-project.org' 
> 	Cc: 
> 	Subject: missing value replacement for test data in 
> random forest
> 	
> 	
> 	Hi,
> 	 
> 	In R, how to do missing value replacement for test data 
> in randome forest in the way Breiman decribed.
> 	 
> 	thanks in advance
> 	 
> 	iris
> 
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