plot8dncoca: bivariate plot for a continuous and a categoric variables
In rebastaba: Handling Bayesian networks

Description Usage Arguments Value Examples

(dn) produces a series of univariate diagram of the continuous variables for each category of the categoric variable

1	plot8dncoca(xx, rred, ccod, title="", type="smooth", ...)

`xx`	data frame with two columns of the continuous variable (in first position) and the categoric variable (in second position) to be plotted
`rred`	list of two components with the ranges of the representation
`ccod`	list of two components with the common ranges to be indicated in the diagram.
`title`	(`character` The title to be given to the plot.
`type`	type of representation. "smooth" means density plots else histograms are drawn.
`...`	Further arguments to be passed to the `plot` or `hist` function. `xlim` must not be provided this way since it is already given by `rred[[1]]`.

returns nothing but a series of diagrams (as many as representation categories of the second variable) is drawn.

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 rebastaba3k("RESET"); # for R checking convenience
 par(mfrow=c(2, 1));
 plot8dncoca(rebastaba.dn4@df[, c(1, 4)], rred=list(rebastaba.dn4@red[[1]], rebastaba.dn4@red[[4]]), ccod=list(rebastaba.dn4@cod[[1]], rebastaba.dn4@cod[[4]]), xlab="A", ylab="density", title="Variable D");