gbm.plot: gbm plot

In dismo: Species Distribution Modeling

gbm plot

Description

Function to plot gbm response variables, with the option of adding a smooth representation of the response if requested additional options in this version allow for plotting on a common scale. Note hat fitted functions are centered by subtracting their mean.

Usage

gbm.plot(gbm.object, variable.no=0, smooth=FALSE, rug=TRUE, n.plots=length(pred.names),
  common.scale=TRUE, write.title=TRUE, y.label="fitted function", x.label=NULL, 
  show.contrib=TRUE, plot.layout=c(3, 4), ...)

Arguments

gbm.object	a gbm object - could be one from gbm.step
variable.no	the var to plot - if zero then plots all
smooth	Logical. If TRUE, a smoothed version of the fitted function is added
rug	Logical. If TRUE, a rug of deciles is plotted
n.plots	plot the first n most important preds
common.scale	Logical. If TRUE, a common scale is used on the y axis
write.title	Logical. If TRUE, the plot gets a title
y.label	the default y-axis label
x.label	the default x-axis label
show.contrib	Logical. If TRUE, the contribution is shown on the x axis
plot.layout	define the default layout for graphs on the page
...	other arguments to pass to the plotting useful options include cex.axis, cex.lab, etc.

Author(s)

John R. Leathwick and Jane Elith

References

Elith, J., J.R. Leathwick and T. Hastie, 2009. A working guide to boosted regression trees. Journal of Animal Ecology 77: 802-81

dismo documentation built on May 31, 2023, 6:15 p.m.