Plot the graphs for a Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt).
# S3 method for CaGalt
plot(x, axes = c(1, 2), choix = c("ind", "freq", "quali.var", "quanti.var"),
conf.ellip = FALSE, contr.ellipse = 3, xlim = NULL, ylim = NULL, col.ind = "black",
col.freq = "darkred", col.quali = "blue", col.quanti = "blue", label = TRUE,
lim.cos2.var = 0, title = NULL, palette = NULL,
autoLab = c("auto", "yes", "no"), new.plot = FALSE, select = NULL,
unselect = 0.7, shadowtext = FALSE, ...)Returns the individuals, the frequencies and the variables factor map.
an object of class CaGalt
a length 2 vector specifying the components to plot
the graph to plot ("ind" for the individuals, "freq" for the frequencies, "quali.var" for the categorical variables, "quanti.var" for the quantitative variables)
boolean (FALSE by default), if TRUE, draw ellipses around the frequencies and the variables
the confidence ellipses were drawn for the frequencies with a contribution higher than X times of mean contribution on the 2 dimensions of your plot (by default 3)
range for the plotted 'x' values, defaulting to the range of the finite values of 'x'
range for the plotted 'y' values, defaulting to the range of the finite values of 'y'
a color for the individuals (by default "black")
a color for the frequencies (by default "darkred")
a color for the categories of categorical variables (by default "blue")
a color for the quantitative variables (by default "blue")
the labels are drawn (by default TRUE)
value of the square cosinus under the variables are not drawn
string corresponding to the title of the graph you draw (by default NULL and a title is chosen)
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)))
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
boolean, if TRUE, a new graphical device is created
a selection of the elements that are drawn; see the details section
may be either a value between 0 and 1 that gives the transparency of the unselected objects (if unselect=1 the transparency is total and the elements are not drawn, if unselect=0 the elements are drawn as usual but without any label) or may be a color (for example unselect="grey60")
boolean; if true put a shadow on the labels (rectangles are written under the labels which may lead to difficulties to modify the graph with another program)
further arguments passed to or from other methods, such as cex, cex.main, ...
Belchin Kostov badriyan@clinic.ub.es, Monica Becue-Bertaut, Francois Husson
The argument autoLab = "yes" is time-consuming if there are many labels that overlap. In this case, you can modify the size of the characters in order to have less overlapping, using for example cex=0.7. The select argument can be used in order to select a part of the elements (individuals if you draw the graph of individuals, or variables if you draw the graph of variabless) that are drawn. For example, you can use: select = 1:5 and then the elements 1:5 are drawn. select = c("name1","name5") and then the elements that have the names name1 and name5 are drawn. select = "coord 10" and then the 10 elements that have the highest (squared) coordinates on the 2 chosen dimensions are drawn. select = "contrib 10" and then the 10 elements that have the highest contribution on the 2 dimensions of your plot are drawn (available only when frequencies are drawn). select = "cos2 5" and then the 5 elements that have the highest cos2 on the 2 dimensions of your plot are drawn.
CaGalt
if (FALSE) {
data(health)
res.cagalt<-CaGalt(Y=health[,1:115],X=health[,116:118],type="n")
plot(res.cagalt,choix="quali.var",conf.ellip=TRUE,axes=c(1,4))
## Selection of some individuals,categories and frequencies
plot(res.cagalt,choix="freq",col.freq="darkgreen",cex=1.5,select="contrib 10")
plot(res.cagalt,choix="ind",select="coord 10")
plot(res.cagalt,choix="quali.var",select="cos2 0.5")
}
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