For a variety of reasons, there is no easy way to transfer many kinds of complicated objects (and some simple ones) from S+ to R (or vice versa). If you want to compare predictions made by randomForest in S+ and R, I would recommend transferring the data.frames used to create the model and to predict from from R to S+ and do the predictions using the same program as the model was fit on. Then transfer the output of predict from S+ back to R.
Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Zhiming Ni > Sent: Tuesday, August 09, 2011 2:31 PM > To: Liaw, Andy; r-help@r-project.org > Subject: Re: [R] convert a splus randomforest object to R > > In Splus the randomForest package version is 4.5-18; in R randomForest > version is 4.6-2. I'm using R version 2.13.1. > > After restore the randomForest object into R using data.restore(), below > are str(cost.rf) outputs, > > List of 17 > $ call : language randomForest(x = > train.roughfix[stop("Argument '' is missing"), -1L], y = > train.roughfix[stop("Argument '' is missing"), ... > $ type : chr "regression" > $ predicted : atomic [1:51368] 23921 8884 2799 4432 7201 ... > ..- attr(*, ".Names")= chr [1:51368] "1" "2" "3" "4" ... > $ mse : num [1:500] 1.65e+09 9.76e+08 7.70e+08 6.77e+08 > 6.22e+08 ... > $ rsq : num [1:500] -1.952 -0.747 -0.379 -0.213 -0.114 ... > $ oob.times : int [1:51368] 185 190 189 176 182 184 164 200 189 > 200 ... > $ importance : num [1:78, 1:2] 1040619 34174 148774 48116 235056 > ... > ..- attr(*, "dimnames")=List of 2 > .. ..$ : chr [1:78] "Age" "AntiarrhythmicsC" "AntiarrhythmicsDays" > "AntiarrhythmicsIIIC" ... > .. ..$ : chr [1:2] "%IncMSE" "IncNodePurity" > $ importanceSD : atomic [1:78] 308517 9618 43424 11313 101015 ... > ..- attr(*, ".Names")= chr [1:78] "Age" "AntiarrhythmicsC" > "AntiarrhythmicsDays" "AntiarrhythmicsIIIC" ... > $ localImportance: num [1:78, 1:51368] 0 0 0 0 0 0 0 0 0 0 ... > ..- attr(*, "dimnames")=List of 2 > .. ..$ : chr [1:78] "Age" "AntiarrhythmicsC" "AntiarrhythmicsDays" > "AntiarrhythmicsIIIC" ... > .. ..$ : chr [1:51368] "1" "2" "3" "4" ... > $ proximity : symbol proximity > $ ntree : int 500 > $ mtry : num 6 > $ forest : atomic [1:10] c(525, 525, 525, 525, 525, 5 > structure(c(-3, -3, -3, -3, H structure(c(2, 4, 6, 8, 10, H > structure(c(3, 5, 7, 9, 11, H ... > ..- attr(*, ".Names")= chr [1:10] "ndbigtree" "nodestatus" > "leftDaughter" "rightDaughter" ... > $ coefs : symbol coefs > $ y : num [1:51368] 26697 28758 611 1035 12483 ... > $ test : symbol test > $ inbag : symbol inbag > - attr(*, "class")= chr "randomForest" > > I tried dump() in Splus then source() in R as well, but the source() > function returns error: > > Error in attributes(.Data) <- c(attributes(.Data), attrib) : > attributes must be named > > > Thanks, > Jimmy > > -----Original Message----- > From: Liaw, Andy [mailto:andy_l...@merck.com] > Sent: Tuesday, August 09, 2011 12:12 PM > To: Zhiming Ni; r-help@r-project.org > Subject: RE: convert a splus randomforest object to R > > You really need to follow the suggestions in the posting guide to get > the best help from this list. > > Which versions of randomForest are you using in S-PLUS and R? Which > version of R are you using? When you restore the object into R, what > does str(object) say? Have you also tried dump()/source() as the R Data > Import/Export manual suggests? > > Andy > > > -----Original Message----- > > From: r-help-boun...@r-project.org > > [mailto:r-help-boun...@r-project.org] On Behalf Of Zhiming Ni > > Sent: Tuesday, August 02, 2011 8:11 PM > > To: r-help@r-project.org > > Subject: [R] convert a splus randomforest object to R > > > > Hi, > > > > I have a randomforest object "cost.rf" that was created in splus 8.0, > > now I need to use this trained RF model in R. So in Splus, I dump the > > RF file as below > > > > data.dump("cost.rf", file="cost.rf.txt", oldStyle=T) > > > > then in R, restore the dumped file, > > > > library(foreign) > > > > data.restore("cost.rf.txt") > > > > it works fine and able to restore the "cost.rf" object. But when I try > > > to pass a new data through this randomforest object using predict() > > function, it gives me error message. > > > > in R: > > > > library(randomForest) > > set.seed(2211) > > > > pred <- predict(cost.rf, InputData[ , ]) > > > > Error in object$forest$cutoff : $ operator is invalid for atomic > > vectors > > > > > > Looks like after restoring the dump file, the object is not compatible > > > in R. Have anyone successfully converted a splus randomforest object > > to R? what will be the appropriate method to do this? > > > > Thanks in advance. > > > > Jimmy > > > > ========================================== > > This communication contains information that is confidential, and > > solely for the use of the intended recipient. It may contain > > information that is privileged and exempt from disclosure under > > applicable law. If you are not the intended recipient of this > > communication, please be advised that any disclosure, copying, > > distribution or use of this communication is strictly prohibited. > > Please also immediately notify SCAN Health Plan at 1-800-247-5091, > > x5263 and return the communication to the originating address. > > Thank You. > > ========================================== > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@r-project.org 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 attachme...{{dropped:24}} > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
