extractRF {m2b} | R Documentation |
Extract the random forest model from an xytb object
Description
The random forest model is extracted from the xytb object to a randomForest object.
Usage
extractRF(xytb)
Arguments
xytb |
an xytb object with a model. |
Value
a randomForest object as defined by the randomForest package.
Author(s)
Laurent Dubroca
See Also
See randomForest
Examples
#track_CAGA_005 is dataset
#generate a complete xytb object with derived (over moving windows of 3, 5
#and 9 points, with quantile at 0, 50 and 100%) and shifted information on 10
#and 100 points
xytb<-xytb(track_CAGA_005,"a track",c(3,5,9),c(0,.5,1),c(10,100))
#compute a random forest model to predict behaviour (b, where -1 is
#unobserved behaviour) using the derived
#parameters ("actual")
xytb<-modelRF(xytb,"actual",nob="-1",colin=TRUE,varkeep=c("v","thetarel"),zerovar=TRUE)
#extract the model
modRF<-extractRF(xytb)
# results from randomForest package:
print(modRF)
plot(modRF)
[Package m2b version 1.0 Index]