FactoMineR (version 1.01)

plot.PCA: Make the Principal Component Analysis (PCA) graphs

Description

Plot the graphs for a Principal Component Analysis (PCA) with supplementary individuals, supplementary quantitative variables and supplementary qualitative variables.

Usage

plot.PCA(x, axes = c(1, 2), choix = "ind",
    ellipse = NULL, xlim = NULL, ylim = NULL, habillage = "none", 
    col.hab = NULL, col.ind = "black", col.ind.sup = "blue", 
    col.quali = "magenta", col.quanti.sup = "blue", 
    col.var = "black", label="all", invisible = NULL, lim.cos2.var = 0.1,
    cex = 1, title = NULL, ...)

Arguments

x

an object of class PCA

axes

a length 2 vector specifying the components to plot

choix

the graph to plot ("ind" for the individuals, "var" for the variables)

ellipse

boolean (NULL by default), if not null, draw ellipses around the individuals, and use the results of coord.ellipse

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'

habillage

allows to colored the individuals among a qualitative variable

col.hab

a vector with the color to use for the individuals

col.ind

a color for the individuals if there only is not habillage

col.ind.sup

a color for the supplementary individuals only if there is not habillage

col.quali

a color for the categories of qualitative variable sonly if there is not habillage

col.quanti.sup

a color for the quantitative supplementary variables

col.var

a color for the variables

label

a list of character for the elements which are labelled (by default, all the elements are labelled ("ind", ind.sup", "quali", "quanti"

invisible

string indicating if some points should not be drawn ("ind" or "quali")

lim.cos2.var

value of the square cosinus under the variables are not drawn

cex

cf. function par in the graphics package

title

string corresponding to the title of the graph you draw (by default NULL and a title is chosen)

...

further arguments passed to or from other methods

Value

• Returns the individuals factor map and the variables factor map.

See Also

PCA

Examples

data(decathlon)
res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup = 13)
plot(res.pca, habillage = "quali", col.hab=c("green","blue"))