# plot.DMFA: Draw the Dual Multiple Factor Analysis (DMFA) graphs In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

## Description

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

## Usage

 ```1 2 3 4 5``` ```## S3 method for class 'DMFA' plot(x, axes = c(1, 2), choix = "ind", label="all", lim.cos2.var = 0., xlim=NULL, ylim=NULL, title = NULL, palette = NULL, new.plot = FALSE, autoLab = c("auto","yes","no"), ...) ```

## 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")) `lim.cos2.var` value of the square cosinus under the variables are not drawn `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' `title` string corresponding to the title of the graph you draw (by default NULL and a title is chosen) `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 `autoLab` if `autoLab="auto"`, `autoLab` is equal to "yes" if there are less than 50 elements and "no" otherwise; if "yes", 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 `...` 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 husson@agrocampus-ouest.fr

`DMFA`