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Last data update: 2014.03.03

R: Plot computed predictive pairwise bivariate conditional...

plot.NMixPredCondDensJoint2

R Documentation

Plot computed predictive pairwise bivariate conditional densities

Description

This is a basic plotting tool to visualize computed predictive pairwise bivariate conditional densities using the image or contour plot. See also NMixPredCondDensJoint2.

Usage

## S3 method for class 'NMixPredCondDensJoint2'
plot(x, ixcond, imargin,
    contour=FALSE,
    add.contour=TRUE, col.add.contour="brown",
    auto.layout=TRUE,
    col, lwd=1, main, xylab, ...)

Arguments

`x`	an object of class `NMixPredCondDensJoint2`.
`ixcond`	if given then conditional densities of all pairs of margins given `x[[icond]][ixcond]` are plotted where `icond` is taken from `x`.
`imargin`	vector of length 2. if given then conditional densities of the (`imargin[1]`, `imargin[2]`) pair of margins given all values of `x[[icond]]` are plotted.
`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)

Arno<c3><85><c2><a1>t Kom<c3><83><c2><a1>rek arnost.komarek[AT]mff.cuni.cz