importance.gradientForest | R Documentation |
gradientForest
or combinedGradientForest
object
Compute the importance measures as a named vector
## S3 method for class 'gradientForest'
importance(x, type = c("Accuracy", "Impurity", "Weighted", "Raw", "Species")[3],
sort = TRUE, ...)
x |
an object of class |
type |
the type of importance measure. For |
sort |
if |
... |
further arguments for other methods |
a named vector of importance measures, one for each variable (or species), possibly sorted
Original code written by N. Ellis, CSIRO, Cleveland, Australia. <Nick.Ellis@csiro.au>. Modified by S.J. Smith, DFO, Dartmouth, NS, Canada. <Stephen.Smith@dfo-mpo.gc.ca>
data(CoMLsimulation)
preds <- colnames(Xsimulation)
specs <- colnames(Ysimulation)
f1 <- gradientForest(data.frame(Ysimulation,Xsimulation), preds, specs[1:6], ntree=10)
f2 <- gradientForest(data.frame(Ysimulation,Xsimulation), preds, specs[1:6+6], ntree=10)
f12 <- combinedGradientForest(west=f1,east=f2)
importance(f1)
importance(f1, "Species")
importance(f2, "Impurity")
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