mixAK: plot.NMixPredDensJoint2 – R documentation

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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, ...)

Arguments

`x`	an object of class `NMixPredDensJoint2`.
`K`	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` is plotted (taken from the `densK` part of the object `x`).
`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)

Author(s)

Arnošt Komárek arnost.komarek[AT]mff.cuni.cz

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(12), 3932–3947.

Examples

## See additional material available in 
## YOUR_R_DIR/library/mixAK/doc/
## or YOUR_R_DIR/site-library/mixAK/doc/
## - files Galaxy.R, Faithful.R, Tandmob.R and
## http://www.karlin.mff.cuni.cz/~komarek/software/mixAK/Galaxy.pdf
## http://www.karlin.mff.cuni.cz/~komarek/software/mixAK/Faithful.pdf
## http://www.karlin.mff.cuni.cz/~komarek/software/mixAK/Tandmob.pdf

mixAK

Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering

v5.3

GPL (>= 3)

Authors

Arnošt Komárek <arnost.komarek@mff.cuni.cz>

Initial release

2020-06-02