plot.MCA {FactoMineR} | R Documentation |
Draw the Multiple Correspondance Analysis (MCA) graphs.
plot.MCA (x, axes = c(1, 2), xlim = NULL, ylim = NULL, invisible = NULL, col.ind = "blue", col.var = "red", col.quali.sup = "darkred", col.ind.sup = "darkblue", col.quanti.sup = "black", label = "all", cex = 1, title = NULL, habillage = "none", palette = NULL, new.plot = TRUE, ...)
x |
an object of class MCA |
axes |
a length 2 vector specifying the components to plot |
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' |
invisible |
string indicating if some points should not be drawn ("ind", "var", "ind.sup", "quali.sup", "quanti.sup") |
col.ind |
a color for the individuals, if color ="none" the label is not written |
col.var |
a color for the categories of qualitative variables, if color ="none" the label is not written |
col.quali.sup |
a color for the qualitative supplementary variables, if color ="none" the label is not written |
col.ind.sup |
a color for the supplementary individuals only if there is not habillage, if color ="none" the label is not written |
col.quanti.sup |
a color for the supplementary quantitative variables, if color ="none" the label is not written |
label |
print the labels of the points |
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) |
habillage |
string corresponding to the color which are used. If "none", one color is used for the individual, another one for the qualitative variables; if "quali", one color is used for each qualitative variables; else if it is the position of a qualitative variable, it colors according to the different categories of this variable |
palette |
the color palette used to draw the points. By default colors are chosen. If you want to define the colors : palette=palette(c("black","red","blue")); or you can use: palette=palette(rainbow(30)), or in black and white for example: palette=palette(gray(seq(0,.9,len=25))) |
new.plot |
boolean, if TRUE, a new graphical device is created |
... |
further arguments passed to or from other methods |
Returns the individuals factor map and the variables factor map.
Jeremy Mazet, Francois Husson Francois.Husson@agrocampus-ouest.fr