plot.aspect: Plot method for aspect solutions

Description

This method provides regression plots and transformation plots for objects of class "aspect", i.e. solutions of corAspect and lineals

Usage

## S3 method for class 'aspect':
plot(x, plot.type, plot.var = c(1,2), xlab, ylab, main, type, ...)

Arguments

Object of class "aspect".

plot.type

Type of plot to be produced (details see below): "regplot", "transplot".

plot.var

For plot.type = "regplot" only. Vector of length 2 with variables to be plotted. Either variable names of column number.

xlab

Label x-axis.

ylab

Label y-axis.

main

Plot title.

type

Whether points, lines or both should be plotted.

...

Additional graphical parameters.

Details

The regression plot ("regplot") provides two plots. First, the unscaled solution is plotted. A frequency grid for the categories of the first variable (var1; x-axis) and the categories of the second variable (var2; y-axis) is produced. The regression line is based on the category weighted means of the relative frequencies: the blue line on the var1 means on the x-axis and the var2 categories on the y-axis, the red line is based on the var1 categories on the x-axis and the var2 means on the y-axis. In a second device the scaled solution is plotted. The frequency grid is determined by the var1 scores (x-axis) and the var2 scores(y-axis). Now, instead of the var1/var2 categories, the var1 scores (blue line y-axis) and the row scores (red line x-axis) are used.

The transformation plot ("transplot") plots the raw categories against the computed scores.

References

de Leeuw, J., & Mair, P. (2007). Aspects of multivariables in R. Preprint available at http://gifi.stat.ucla.edu/aspect.pdf

Examples

Run this code

##Regression plots using galo data
data(galo)
res <- lineals(galo[,1:4])
#plot(res, plot.type = "regplot", plot.var = c("advice","SES"))
#plot(res, plot.type = "transplot")