plot.aspect {aspect} | R Documentation |
This method provides regression plots and transformation plots for objects of class "aspect"
, i.e. solutions of corAspect
and lineals
## S3 method for class 'aspect' plot(x, plot.type, plot.var = c(1,2), xlab, ylab, main, type, ...)
x |
Object of class |
plot.type |
Type of plot to be produced (details see below): |
plot.var |
For |
xlab |
Label x-axis. |
ylab |
Label y-axis. |
main |
Plot title. |
type |
Whether points, lines or both should be plotted. |
... |
Additional graphical parameters. |
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.
##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")