plot.DMFA: Draw the Dual Multiple Factor Analysis (DMFA) graphs

In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Draw the Dual Multiple Factor Analysis (DMFA) graphs

Description

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

Usage

## 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 [e-mail]

See Also

DMFA

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