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 mac...@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
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