ggPDfit: ggPDfit

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

Description

Function to draw partial dependency plots with fitted values from a boosted regression trees obtained with the gbm.step routine in the dismo package.

Usage

ggPDfit(gbm.object, n.plots = length(pred.names), predictor = NULL,
  nrow = NULL, ncol = NULL, col.dot = "grey", cex.dot = 1,
  alpha.dot = 0.4, smooth = FALSE, col.smooth = "red", span = 0.3,
  se = F, cex.smooth = 0.3, y.label = "Fitted values", x.label = NULL,
  ...)

Arguments

gbm.object	a 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 variable. Can be either a character name (use "") or a number indicating its ranking in terms of relative influence
nrow	number of plots per row
ncol	number of plots per column
col.dot	color of the dots
cex.dot	size of the dots
alpha.dot	transparency of the dots (default = 0.4)
smooth	Logical. If TRUE, (default FALSE) add a smoother to the fitted values
col.smooth	color of the smoother
span	span of the smoother (default = 0.3)
se	Logical. If TRUE (default FALSE), add standard error around the smoother
cex.smooth	size of the smoother line (default = 0.3)
y.label	title for the y-axis (default = "Fitted values")
x.label	title for the x-axis (by default the predictor name and its relative influence)

JBjouffray/ggBRT documentation built on Jan. 30, 2021, 8:13 a.m.