plot.homals: Plot Methods for Homals

In Gifi: Multivariate Analysis with Optimal Scaling

Plot Methods for Homals

Description

Various plotting options for objects of class "homals".

Usage

## S3 method for class 'homals'
plot(x, plot.type = "jointplot", plot.dim = c(1, 2), 
var.subset = "all", col.points = rainbow_hcl(ncol(x$data)), col.scores = "gray", 
col.lines = 1:x$ndim, cex.scores = 0.8, cex.loadings = 0.8, labels.scores = FALSE, 
stepvec = NA, max.plot.array = NA, asp = 1, main, xlab, ylab, xlim, ylim, ...)

Arguments

x	Object of class "homals"
plot.dim	Vector with dimensions to be plotted.
plot.type	String indicating which type of plot to be produced: "jointplot", "biplot", "screeplot", "transplot". See details.
var.subset	Numeric vector for subsetting variables to be plotted. If missing, all variables are taken into account
col.points	Color categories.
col.scores	Color object scores.
col.lines	Line colors for transformation and scree plot.
cex.scores	Size object scores.
cex.loadings	Size loading labels.
asp	Aspect ratio
labels.scores	Whether object score labels should be plotted.
stepvec	Vector whether step function should be plotted (see details).
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:

- Biplot (plot.type = "biplot"): Biplot with the object scores and the category quantifications.

- Transformation plot (plot.type = "transplot"): Plots the original scale against the transformed scale (first dimension) for each variable separately.

- Joint plot (plot.type = "jointplot"): Plots the category quantifications.

- Scree plot (plot.type = "screeplot"): Produces a scree plot based on the eigenvalues.

For transformation plots only: If stepvec = NA, the function tries to figure out which variable should be plotted as step function. Alternatively, a boolean vector (with length number of variables) can be specified (TRUE step function, FALSE smooth function).

Examples

fithart <- homals(hartigan, ndim = 3, normobj.z = FALSE)
fithart

plot(fithart)   
plot(fithart, var.subset = c(1,2,4), plot.dim = c(2,3))
plot(fithart, plot.type = "biplot", col.scores = "black")
plot(fithart, plot.type = "biplot", col.scores = "black", labels.scores = TRUE, col.points = 1:6)
plot(fithart, plot.type = "screeplot", col.lines = "red")
plot(fithart, plot.type = "transplot", plot.dim = 1:3, col.lines = c(1, 2, 4))
plot(fithart, plot.type = "transplot", stepvec = rep(FALSE, 6), max.plot.array = c(2,2))

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