ggMultiPD: ggMultiPD

In JBjouffray/ggBRT: Explore and Visualise the Results of Boosted Regression Trees

ggMultiPD

Description

Function to draw partial dependency plots with fitted functions from several boosted regression trees obtained with the gbm.step routine in the dismo package. The models need to have the same set of predictors.

Usage

ggMultiPD(..., n.plots = length(pred.names), predictor = NULL,
  col.lines = c(), cex.line = 0.5, legend.pos = "right", smooth = F,
  cex.smooth = 0.3, se = F, span = 0.3, nrow = NULL, ncol = NULL)

Arguments

...	several gbm.step object (object of S3 class gbm)
n.plots	number of predictors to display, ranked by decreasing relative influence (default=all)
predictor	select a single predictor to plot. Can be either a character name (use "") or a number indicating its ranking in terms of relative influence
col.lines	a vector with as many colors as there are BRTs
cex.line	size of the lines
legend.pos	position for the legend ("none", "right", "left", "bottom", "top")
smooth	Logical. If TRUE (default FALSE) add a smoother to each fitted function
cex.smooth	size of the smoothers
span	span of the smoothers (default = 0.3)
nrow	number of plots per row
ncol	number of plots per column

JBjouffray/ggBRT documentation built on Nov. 19, 2024, 2:34 a.m.