Usage
gbm.perspec(gbm.object, x = 1, y = 2, pred.means = NULL, x.label = NULL, x.range = NULL, y.label = NULL, z.label = "fitted value", y.range = NULL, z.range = NULL, leg.coords = NULL, ticktype = "detailed", theta = 55, phi = 40, smooth = "none", mask = FALSE, perspective = TRUE, ...)
Arguments
gbm.object
object of class gbm
x
the first variable to be plotted
y
the second variable to be plotted
pred.means
allows specification of values for other variables
x.label
allows manual specification of the x label
x.range
manual range specification for the x variable
z.range
allows control of the vertical axis
leg.coords
can specify coords (x, y) for legend
ticktype
specifiy detailed types - otherwise "simple"
smooth
controls smoothing of the predicted surface
mask
controls masking using a sample intensity model
perspective
controls whether a contour or perspective plot is drawn
...
allows the passing of additional arguments to plotting routine useful options include shade, ltheta, lphi for controlling illumination and cex for controlling text size - cex.axis and cex.lab have no effect