kdepairs: Scatterplot Matrix with 2D Kernel Density

In ResourceSelection: Resource Selection (Probability) Functions for Use-Availability Data

Description

Scatterplot matrix with 2D kernel density.

Usage

kdepairs(x, ...)

## Default S3 method:
kdepairs(x, n=25, density=TRUE, contour=TRUE, ...)

## S3 method for class 'rsf'
kdepairs(x, n=25, density=TRUE, contour=TRUE, ...)

Arguments

x	a matrix or data frame (or a fitted model object of class "rsf" or "rspf").
n	number of bins to be used in kernel density estimation.
density	logical, if shades corresponding to densities should be plotted.
contour	logical, if contour on top of shades should be plotted.
...	other possible arguments passed to pairs.

Value

Produces a scatterplot matrix with histograms in diagonal, 2D kernel density estimates and contours in the lower half and bivariate scatterplots with lowess smooth curves and Pearson correlation values in the upper half as a side effect. Returns NULL invisibly.

Author(s)

Peter Solymos

See Also

pairs, lowess, kde2d, contour

Examples

kdepairs(iris[1:4])

Example output

ResourceSelection 0.3-4 	 2019-01-08

ResourceSelection documentation built on May 2, 2019, 6:29 p.m.