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 https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ------------------------------------------------------------------------ ------ Notice: This e-mail message, together with any attachments, contains information of Merck & Co., Inc. (One Merck Drive, Whitehouse Station, New Jersey, USA 08889), and/or its affiliates (which may be known outside the United States as Merck Frosst, Merck Sharp & Dohme or MSD and in Japan, as Banyu - direct contact information for affiliates is available at http://www.merck.com/contact/contacts.html) that may be confidential, proprietary copyrighted and/or legally privileged. It is intended solely for the use of the individual or entity named on this message. If you are not the intended recipient, and have received this message in error, please notify us immediately by reply e-mail and then delete it from your system. ------------------------------------------------------------------------ ------ ------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachments,...{{dropped}} ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.