gbm.plot

0th

Percentile

gbm plot

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.

Keywords
spatial
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.

References

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

Aliases
  • gbm.plot
Documentation reproduced from package dismo, version 1.3-3, License: GPL (>= 3)

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