plot.fmdsd: Plotting scores of multidimensional scaling of density...

In dad: Three-Way / Multigroup Data Analysis Through Densities

Plotting scores of multidimensional scaling of density functions

Description

Applies to an object of class "fmdsd" (see the details section of the fmdsd function). Plots the scores.

Usage

## S3 method for class 'fmdsd'
plot(x, nscore = c(1, 2), main="MDS of probability density functions",
    sub.title = NULL, color = NULL, fontsize.points = 1.5, ...)

Arguments

x	object of class "fmdsd".
nscore	a length 2 numeric vector. The numbers of the score vectors to be plotted. Warning: Its components cannot be greater than the nb.factors argument in the call of the fmdsd function.
main	this argument to title has an useful default here.
sub.title	string. Subtitle to be added to each graph.
color	When provided, the colour of the symbols of each group. Can be a vector with length equal to the number of groups.
fontsize.points	Numeric. Expansion of the characters (or symbols) of the groups on the graph. This works as a multiple of par("cex") (see points).
...	optional arguments to plot methods.

Details

Plots the principal scores returned by the function fmdsd. A new graphics window is opened for each pair of principal score vectors defined by the nscore argument.

Author(s)

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Gilles Hunault, Sabine Demotes-Mainard

References

Boumaza, R., Yousfi, S., Demotes-Mainard, S. (2015). Interpreting the principal component analysis of multivariate density functions. Communications in Statistics - Theory and Methods, 44 (16), 3321-3339.

See Also

fmdsd; print.fmdsd; interpret.fmdsd.

Examples

data(roses)
x <- roses[,c("Sha","Den","Sym","rose")]
rosesfold <- as.folder(x)
result <- fmdsd(rosesfold)
plot(result)

dad documentation built on Aug. 30, 2023, 5:06 p.m.