iRF (version 2.0.0)

partialPlot2var: creates 3-dimensional surface plots for bivariate partial dependence functions

Description

Given two feature vectors and a response vector, produces surface maps of partial dependence function. Uses R package rgl

Usage

partialPlot2var(x1, x2, y, gridlength=NULL, x1_grid=NULL, x2_grid=NULL,
x1lab='v1', x2lab='v2', ylab=NA, range.color=NULL, col.palette=c('blue',
'yellow'), plot_quantile_scale = TRUE, plot.colorbar=TRUE, ...)

Arguments

x1, x2, y

numeric vectors containing the first, second and the response variable

gridlength

If either x1_grid or x2_grid is missin, a scalar indicating length of grids against which to make the plot

x1_grid, x2_grid

grids of points between which the surface map will be constant

x1lab, x2lab, ylab

Labels of x, y and z-axis respectively

range.color

range of values which should be colored. input in the form (min, max). If not provided, the program automatically sets it to the range of the partial dependence function calculated on grid points

col.palette

Color palette, typically a vector of length 2 indicating the range of colors

plot_quantile_scale

If TRUE, plots against quantiles of x1 and x2 instead of their raw values

plot.colorbar

produce a separate colorbar for the partial dependence plot?

...

additional arguments to pass to rgl::persp3d

Value

A RGL plot of type persp3d() of the package rgl

See Also

persp3d