plot8dncaca: bivariate plot for two categoric variables

In rebastaba: Handling Bayesian networks

Description

(dn) produces an image matrix of the frequencies of the categoric variables. Several options are possible to give (i) different orders for the categories, (ii) different viewpoint of the probability table (joint, conditional) and (iii) different color scales.

Usage

plot8dncaca(xx, rred, ccod, title="", type="joint", ...)

Arguments

xx	data frame with two columns of the categoric variables 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. "joint" means joint probability; "row" mean conditional for each row and "column" means conditional for each column.
...	Further arguments to be passed to the image function.

Value

returns nothing but a scaled matrix is drawn.

Examples

 rebastaba3k("RESET"); # for R checking convenience
 plot8dncaca(rebastaba.dn4@df[, c(4, 5)], rred=list(rebastaba.dn4@red[[4]], rebastaba.dn4@red[[5]]), ccod=list(rebastaba.dn4@cod[[4]], rebastaba.dn4@cod[[5]]), title="Variables D & E");

rebastaba documentation built on May 2, 2019, 5:24 p.m.