smacof (version 1.8-13)

biplotmds: MDS Biplots

Description

Regresses external variables on a MDS configuration which results in a MDS biplot.

Usage

"biplotmds"(object, extvar, scale = TRUE)
"plot"(x, plot.dim = c(1,2), sphere = TRUE, col = 1,  label.conf = list(label = TRUE, pos = 3, col = 1, cex = 0.8),  vec.conf = list(col = 1, cex = 0.8, length = 0.1),  identify = FALSE, type = "p", pch = 20,  asp = 1, main, xlab, ylab, xlim, ylim, ...)

Arguments

object

Object of class "smacof" or "smacofID"

extvar

Data frame with external variables

scale

If TRUE, external variables are standardized internally

x

Object of class "mdsbi"

plot.dim

Vector with dimensions to be plotted.

main

Plot title.

xlab

Label of x-axis.

ylab

Label of y-axis.

xlim

Scale x-axis.

ylim

Scale y-axis.

pch

Plot symbol.

asp

Aspect ratio.

col

Point color.

type

What type of plot should be drawn.

sphere

In case of spherical smacof, whether sphere should be plotted or not.

label.conf

List with arguments for plotting the labels of the configurations in a configuration plot (logical value whether to plot labels or not, label position, label color).

vec.conf

List with arguments for arrows and arrow labels of the external variables.

identify

If TRUE, the identify() function is called internally that allows to add configuration labels by mouse click.

...

Further plot arguments passed: see plot for detailed information.

Value

Returns an object belonging to classes "mlm" and "mdsbi". See lm for details.

R2vec

Vector containing the single R2 values.

Details

If a model for individual differences is provided, the external variables are regressed on the group stimulus space configurations.

References

Greenacre, M. (2010). Biplots in Practice. Fundacion BBVA, Bilbao, Spain

Examples

## morsecode data with external scales
res <- mds(morse)
fitbi <- biplotmds(res, morsescales[,2:3])
plot(fitbi, main = "MDS Biplot")