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
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Hi Jimmy Years ago I think that Splus introduced an argument when dumping of old.style = T or something similar to dump it into a form that could be read into R. This may only be for data.frames etc not things like random forest objects Regards Duncan Duncan Mackay Department of Agronomy and Soil Science University of New England ARMIDALE NSW 2351 Email: home mackay at northnet.com.au At 10:10 03/08/2011, you wrote:>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 at 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.
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-bounces at r-project.org > [mailto:r-help-bounces at r-project.org] On Behalf Of Zhiming Ni > Sent: Tuesday, August 02, 2011 8:11 PM > To: r-help at 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 at 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:11}}