plot8dncoco: bivariate plot for two continuous variables
In rebastaba: Handling Bayesian networks

Description Usage Arguments Value Examples

(dn) produces a Cartesian plot (points) or an estimated density into R^2 (contour).

1	plot8dncoco(xx, rred, ccod, title="", type="points", lla=NULL, ...)

`xx`	matrix or data frame with two columns of the two continuous variable to be plotted
`rred`	list of two components with the ranges of the representation
`ccod`	list of two components with the common limits to be indicated with vertical dotted lines
`title`	(`character` The title to be given to the plot.
`type`	type of representation. "points" means a scatter plot with symbols, "labels" means scatter plot with text labels and "contour" means the isocontour plot.
`lla`	Defines the labels for the represented points. NULL for standard, If scalar must be the number of c
`...`	Further arguments to be passed to the `plot` or `contour` function. `xlim` must not be provided this way since it is already given by `rred`.

returns nothing but one plot is drawn

1
2

 rebastaba3k("RESET"); # for R checking convenience
 plot8dncoco(rebastaba.dn4@df[, 1:2], rred=list(rebastaba.dn4@red[[1]], rebastaba.dn4@red[[2]]), ccod=list(rebastaba.dn4@cod[[1]], rebastaba.dn4@cod[[2]]), xlab="A", ylab="B");