FactoMineR (version 1.42)

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

Description

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Usage

# S3 method for 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.

See Also

HMFA

Examples

# NOT RUN {
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")
# }