plot.NMixPredDensJoint2: Plot computed marginal pairwise bivariate predictive densities

Description

This is a basic plotting tool to visualize computed marginal pairwise bivariate predictive densities using the image plot or contour plot. See also NMixPredDensJoint2.

Usage

## S3 method for class 'NMixPredDensJoint2':
plot(x, K=0, contour=FALSE,
    add.contour=TRUE, col.add.contour="brown",
    auto.layout=TRUE,
    col, lwd=1, main, xylab, \dots)

Arguments

an object of class NMixPredDensJoint2.

if equal to 0 then the overall predictive densities are plotted taken from the dens part of the object x.

If higher than 0 then the predictive density conditioned by the value of K

contour

logical. If TRUE then contours are drawn, otherwise image plot is created.

add.contour

logical. If TRUE and contour is FALSE (i.e., image plot is drawn) then contours are added to the image plots.

col.add.contour

color of contours which are added to the image plot.

auto.layout

if TRUE then the function determines itself how to divide the plotting region to draw densities for all margins.

col

color used to draw the contours or images.

lwd

line width.

main

main title of the plot.

xylab

optional character vector of the length equal to the number of margins with labels used for x and y axes on the plots.

...

additional arguments passed to the plot function.

Value

invisible(x)

References

Komárek, A. (2009). A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data. Computational Statistics and Data Analysis, 53, 3932--3947.

Examples

Run this code

## See additional material available in 
## YOUR_R_DIR/library/mixAK/doc/
## or YOUR_R_DIR/site-library/mixAK/doc/
## - files Galaxy.pdf, Faithful.pdf, Tandmob.pdf