The package has a doc/ subdirectory (in the pre-compiled package, or
inst/doc in the source package), which contains yaImputePaper.pdf.  Page
9 of that document may be of some help to you.  This is the first time
I've seen this package, so can't help you much there.  It looks like the
package authors would like me to add some feature to the randomForest
package (which I maintain).  I'll look into that.
 
Andy


________________________________

        From: Ricky Jacob [mailto:[EMAIL PROTECTED] 
        Sent: Wednesday, April 11, 2007 7:11 AM
        To: Liaw, Andy
        Cc: r-help@stat.math.ethz.ch
        Subject: Re: [R] Random Forest Imputations [Broadcast]
[Broadcast]
        
        
        I am currently using R 2.4.1 version.
        Am using the yaImpute package for k-NN imputation..
http://forest.moscowfsl.wsu.edu/gems/yaImpute.pdf
         
         
        In yaImpute, i am using the yai function which uses randomForest
as a method for finding out the k-Nearest Neighbours..
http://cran.r-project.org/doc/packages/yaImpute.pdf 
         
         
        With the help iof the example given I was able to use the other
methods available.  
        from the document, and the MoscowMtStJoe exampe, is similar to
the work i am trying to do.
         
        But the y variable needs to be entered in the form of a factor
for random forest.
         
        what can be done here?!


         
        On 4/11/07, Liaw, Andy <[EMAIL PROTECTED]> wrote: 

                Please provide the information the posting guide asks
(version of R, packages used, version of package used, etc).  There are
no yaImpute() or yai() functions in the randomForest package. 
                 
                Andy

________________________________

                From: [EMAIL PROTECTED] on behalf of
Ricky Jacob 
                Sent: Wed 4/11/2007 5:55 AM
                To: r-help@stat.math.ethz.ch
                Subject: [R] Random Forest Imputations [Broadcast] 
                
                 

                Dear All,
                I am not able to run the random forest with my dataset..
                
                X<- 280 records with satellite data(28 columns) - B1min,
b1max, b1std etc..
                
                y<-  280 records with 3 columns -  TotBasal Area, Stem
density and Volume 
                
                yref <- y[1:230,] #Keeping 1st 230 records as reference
records
                
                
                
                want to set 0 to y values for records 231 to 280..
                
                
                
                yimp <- y[231:280,] #records for which we want to impute
the basal area, 
                stem density and volume
                
                
                
                mal1 <- yai(x=x, y=yref, method="mahalanobis", k=1,
noRefs = TRUE)  # This
                works fine for mahalanobis, msn, gnn, raw and Euclidean
                
                Want to do a similar thing with random forest where the
1st 230 records 
                alone should be used for calculating Nearest Neighbours
for the records with
                number 231 to 280..
                What needs to be done..  Went through the yaImpute
document.. but all i
                could do without any error message was to have NN
generated using the yai() 
                where all 280 records have been used for finding nearest
neighbour.
                
                Regards
                Ricky
                
                        [[alternative HTML version deleted]]
                
                ______________________________________________
                R-help@stat.math.ethz.ch mailing list
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                PLEASE do read the posting guide
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                and provide commented, minimal, self-contained,
reproducible code. 
                
                
                

                
        
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