Make graph of variables
Plot the graphs of the variables after a Factor Analysis.
graph.var(x, axes = c(1, 2),
xlim = NULL, ylim = NULL, col.sup = "blue",
col.var = "black", draw="all", label=draw, lim.cos2.var = 0.1,
cex = 1, title = NULL, new.plot = TRUE, ...)x |
an object of class PCA, MCA, MFA or HMFA |
axes |
a length 2 vector specifying the components to plot |
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' |
col.sup |
a color for the quantitative supplementary variables |
col.var |
a color for the variables |
draw |
a list of character for the variables which are drawn (by default, all the variables are drawn). You can draw all the active variables by putting "var" and/or all the supplementary variables by putting "quanti.sup" and/or a list with the names of the variables which should be drawn |
label |
a list of character for the variables which are labelled (by default, all the drawn variables are labelled). You can label all the active variables by putting "var" and/or all the supplementary variables by putting "quanti.sup" and/or a list with the names of the variables which should be labelled |
lim.cos2.var |
value of the square cosinus under the variables are not drawn |
cex |
cf. function |
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 |
Returns the variables factor map.
Francois Husson Francois.Husson@agrocampus-ouest.fr
data(decathlon)
res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup = 13, graph = FALSE)
graph.var (res.pca, draw = c("var","Points"),
label = c("Long.jump", "Points"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.