plot.HMFA: Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Description

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Usage

## S3 method for class 'HMFA'
plot(x, axes = c(1,2),num=6, choix = "ind", 
    lab.grpe = TRUE, lab.var = TRUE, lab.ind.moy = TRUE, 
    invisible = NULL, lim.cos2.var = 0., 
    xlim = NULL, ylim = NULL, cex = 1, title = NULL, new.plot = FALSE, ...)

Arguments

x	an object of class HMFA
axes	a length 2 vector specifying the components to plot
num	number of grpahs in a same windows
choix	a string corresponding to the graph that you want to do ("ind" for the individual or categorical variables graph, "var" for the quantitative variables graph, "axes" for the graph of the partial axes, "group" for the groups representation)
lab.grpe	boolean, if TRUE, the label of the groups are drawn
lab.var	boolean, if TRUE, the label of the variables are drawn
lab.ind.moy	boolean, if TRUE, the label of the mean points are drawn
invisible	list of string; for choix ="ind", the individuals can be omit (invisible = "ind"), or the centers of gravity of the categorical variables (invisible= "quali")
lim.cos2.var	value of the square cosinus under with the points 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'
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)
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.

Author(s)

Jeremy Mazet, Francois Husson [e-mail]

See Also

HMFA

Examples

data(wine)
hierar <- list(c(2,5,3,10,9,2), c(4,2))
res.hmfa <- HMFA(wine, H = hierar, type=c("n",rep("s",5)), graph = FALSE)
plot(res.hmfa, invisible="quali")
plot(res.hmfa, invisible="ind")

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