plot.princals: Plot Methods for Princals

In Gifi: Multivariate Analysis with Optimal Scaling

Plot Methods for Princals

Description

Various plotting options for objects of class "princals".

Usage

## S3 method for class 'princals'
plot(x, plot.type = "loadplot", plot.dim = c(1, 2), var.subset = "all", 
col.scores = "black", col.loadings = "black", col.lines = "black", cex.scores = 0.8, 
cex.loadings = 0.8, stepvec = NA, max.plot.array = NA, expand = 1, 
asp = 1, main, xlab, ylab, xlim, ylim, ...)

Arguments

x	Object of class "princals"
plot.type	String indicating which type of plot to be produced: "biplot", "loadplot", "screeplot", "transplot". See details.
plot.dim	Vector with dimensions to be plotted.
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.scores	Color object scores.
col.loadings	Color loading vectors.
col.lines	Line colors for transformation and scree plot.
cex.scores	Size object scores.
cex.loadings	Size loading labels.
asp	Aspect ratio
stepvec	Vector whether step function should be plotted (see details).
max.plot.array	Number of panels in transformation plot.
expand	Expansion factor for loadings in biplot.
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 loadings. It uses biplot.default from stats internally (see corresponding help file for additional arguments)

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

- Loadings plot (plot.type = "loadplot"): Plots the loadings of the variables and connects them with the origin.

- 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

ABC6 <- ABC[,6:11]
fitord <- princals(ABC6, ndim = 3)  ## 3D princals solution

## transformation plot
plot(fitord, plot.type = "transplot", var.subset = 1:4, lwd = 2, col.lines = "coral")

## loadings plot
plot(fitord, "loadplot", main = "Loadings Plot ABC Data")

## biplot
plot(fitord, "biplot", main = "Biplot ABC Data", cex.scores = 0.5)  
plot(fitord, "biplot", main = "Biplot ABC Data")
plot(fitord, "biplot", main = "Biplot ABC Data", plot.dim = c(2,3))

## scree plot
plot(fitord, "screeplot")  

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