ggMultiPDfit: ggMultiPDfit

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

ggMultiPDfit

Description

Function to draw partial dependency plots with fitted values 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

ggMultiPDfit(..., n.plots = length(pred.names), predictor = NULL,
  col.dots = c(), alpha.dot = 0.5, cex.dot = 1, 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.dots	a vector with as many colors as there are BRTs
alpha.dot	transparency of the dots (default = 0.5)
cex.dot	size of the dots
legend.pos	position for the legend ("none", "right", "left", "bottom", "top")
smooth	Logical. If TRUE (default FALSE) add a smoother to each set of fitted values
cex.smooth	size of the smoothers
se	Logical. If TRUE (default FALSE), add standard error around the smoother
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.