Description Usage Arguments Value Examples
gbm.effectplot
plots marginal effect for important variables.
1 | gbm.effectplot(gbm.model, relimp.range, y.label, num.row, num.col)
|
gbm.model |
A gbm model to be plotted. |
relimp.range |
A vector of length 2 giving upper and lower relative importance cut-offs |
y.label |
name of response variable |
num.row |
Number of rows in output plot |
num.col |
Number of columns in output plot |
plot of main effects of gbm model.
1 2 3 4 5 | ## Not run:
gbm.effectplot(gbm.model=gbm.model,
relimp.range=c(1,100),num.row=4,num.col=4)
## End(Not run)
|
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