plotellipses: Draw confidence ellipses around the categories

In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Draw confidence ellipses around the categories

Description

Draw confidence ellipses around the categories.

Usage

plotellipses(model, keepvar = "all", axes = c(1, 2), means=TRUE, level = 0.95, 
    magnify = 2, cex = 1, pch = 20, pch.means=15, type = c("g","p"), 
    keepnames = TRUE, namescat = NULL, xlim=NULL, ylim=NULL, lwd=1, 
    label="all", autoLab=c("auto","yes","no"), 
	graph.type = c("ggplot","classic"), ...)
	

Arguments

model	an object of class MCA or PCA or MFA
keepvar	a boolean or numeric vector of indexes of variables or a character vector of names of variables. If keepvar is "all", "quali" or "quali.sup" variables which are plotted are all the categorical variables, only those which are used to compute the dimensions (active variables) or only the supplementary categorical variables. If keepvar is a numeric vector of indexes or a character vector of names of variables, only relevant variables are plotted.
axes	a length 2 vector specifying the components to plot
means	boolean which indicates if the confidence ellipses are for (the coordinates of) the means of the categories (the empirical variance is divided by the number of observations) or for (the coordinates of) the observations of the categories
level	the confidence level for the ellipses
magnify	numeric which control how the level names are magnified. A value of 2 means that the level names have character expansion equal to two times cex
cex	cf. function par in the graphics package
pch	plotting character for coordinates, cf. function par in the graphics package
pch.means	plotting character for means, cf. function par in the graphics package
type	cf. function xyplot in the lattice package
keepnames	a boolean or numeric vector of indexes of variables or a character vector of names of variables. If keepnames is TRUE, names of levels are taken from the (modified) dataset extracted from modele, if FALSE trimming names is done. When trimming, names of levels are taken from the (modified) dataset extracted from modele, then, the corresponding number of characters of names of original variables plus 1 is removed. If keepnames is a vector of indexes or names, trimming is done on all variables excepted whose in keepnames
namescat	a vector giving for each observation the value of categorical variable, each variable are stacked under each other. If NULL, names are taken from the (modified) dataset extracted from modele
xlim	range for the plotted 'x' values, defaulting to the range of the finite values of 'x'
ylim	range for the plotted 'y' values, defaulting to the range of the finite values of 'y'
lwd	The line width, a positive number, defaulting to 1
label	a list of character for the elements which are labelled (by default, "all", you can use "none", "ind", ind.sup"))
autoLab	if autoLab="auto", autoLab is equal to "y" if there are less than 50 elements and "no" otherwise; if "y", the labels of the drawn elements are placed in a "good" way (can be time-consuming if many elements), and if "no" the elements are placed quickly but may overlap
graph.type	a character that gives the type of graph used: "ggplot" or "classic"
...	further arguments passed to or from other methods

Value

Return a graph with the ellipses. If only one variable is chosen, the graph is different.

Author(s)

Pierre-Andre Cornillon, Francois Husson [e-mail]

See Also

MCA, PCA

Examples

## Not run: 
data(poison)
res.mca = MCA(poison, quali.sup = 3:4, quanti.sup = 1:2)
plotellipses(res.mca)
plotellipses(res.mca,keepvar=3:6)

## End(Not run)

data(decathlon)
res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup=13)
plotellipses(res.pca,keepvar=13)

FactoMineR documentation built on May 29, 2024, 3:36 a.m.