plot.DMFA {FactoMineR}R Documentation

Make the Duale Multiple Factor Analysis (DMFA) graphs

Description

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

Usage

plot.DMFA(x, axes = c(1, 2), choix = "ind", label="all",
    invisible = NULL, palette = NULL, new.plot = TRUE, ...)

Arguments

x an object of class DMFA
axes a length 2 vector specifying the components to plot
choix the graph to plot ("ind" for the individuals, "var" 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", "var", "quanti.sup"
invisible string indicating if some points should not be drawn ("ind" or "quali")
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

Value

Returns the individuals factor map and the variables factor map, the partial variables representation and the groups factor map.

Author(s)

Francois Husson Francois.Husson@agrocampus-ouest.fr

See Also

DMFA


[Package FactoMineR version 1.10 Index]