plot.aspect: Plot method for aspect solutions

In aspect: A General Framework for Multivariate Analysis with Optimal Scaling

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

x	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.

See Also

lineals, corAspect

Examples

##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")

aspect documentation built on May 6, 2022, 9:06 a.m.