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.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(FactoMineR)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FactoMineR/plot.HMFA.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.HMFA
> ### Title: Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs
> ### Aliases: plot.HMFA
> ### Keywords: dplot
>
> ### ** 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")
>
>
>
>
>
> dev.off()
null device
1
>