plot.morals: Plot Methods for Morals

In Gifi: Multivariate Analysis with Optimal Scaling

Plot Methods for Morals

Description

Various plotting options for objects of class "morals".

Usage

## S3 method for class 'morals'
plot(x, plot.type = "transplot", var.subset = "all", col.lines = "black", 
stepvec = NA, max.plot.array = c(2, 2), main, xlab, ylab, xlim, ylim, ...)

Arguments

x	Object of class "morals"
plot.type	String indicating which type of plot to be produced: "resplot", "transplot"
var.subset	Numeric vector for subsetting variables to be plotted. If missing, all variables are taken into account. Ignored for non separate variable plots.
col.lines	Line colors for transformation
stepvec	Vector whether step function should be plotted
max.plot.array	Number of panels in transformation plot.
main	Plot title.
type	Type of points/lines to be plotted.
xlab	Label of x-axis.
ylab	Label of y-axis.
xlim	Limits for x-axis.
ylim	Limits for y-axis.
...	Further plot arguments passed: see plot

Details

Plot description: The transformation plot (plot.type = "transplot"): Plots the original scale against the transformed scale for each variable separately.

Examples

x <- scale(as.matrix(seq(0, pi, length = 20)), scale = FALSE)
y <- scale(as.matrix(sin(x)), scale = FALSE)
fitxy <- morals(x, y, xknots = knotsGifi(x, "E"), xdegrees = 2)
plot(fitxy, main = c("x", "y"))
plot(fitxy, plot.type = "resplot")

Gifi documentation built on Sept. 28, 2022, 3 a.m.