plot.SimAn: Graphs of Simultaneous Analysis

Description

Graphical representation of simultaneous analysis.

Usage

"plot"(x, s1 = 1, s2 = 2, screen = TRUE, oar = 1, oac = 1, ...)

Arguments

The output of the simultaneous analysis (class 'SimAn')

Dimension to plot on horizontal axis

Dimension to plot on vertical axis

screen

TRUE (all the graphs on screen) or FALSE (graphs in a file) FALSE for S-plus

oar

Output for active rows (1 = yes, 0 = no)

oac

Output for active columns (1 = yes, 0 = no)

...

Further arguments passed to or from other methods

Details

The parameters s1 = 1 and s2 = 2 (by default) indicate that the graph is given for the first two dimensions. A plot of e.g. the second and the third dimensions is obtained by setting s1 = 2 and s2 = 3. Notice that in the latter case nd, the dimensionality of the solution, must be at least 3.

A large number of elements can take part in the SA of a set of tables depending on the number of tables and on the dimensions of the tables. In order to facilitate interpretation, the plot.SimAn function gives several graphical outputs for active and supplementary points (if any) including the ones corresponding to the separate CA of each table.

Each table is identified with a different color and the columns and partial rows of each table are in the same color and have the same symbol. Two additional graphs, one for the projections of the tables and one for the relations between factors of CA and SA are also provided by plot.SimAn.

References

Goitisolo, B. (2002). El Analisis Simultaneo. Propuesta y aplicacion de un nuevo metodo de analisis factorial de tablas de contingencia. Phd thesis, Basque Country University Press, Bilbao.

Zarraga, A. & Goitisolo, B. (2002). Methode factorielle pour l analyse simultanee de tableaux de contingence. Revue de Statistique Appliquee, L, 47--70

Zarraga, A. & Goitisolo, B. (2003). Etude de la structure inter-tableaux a travers l Analyse Simultanee, Revue de Statistique Appliquee, LI, 39--60.

Zarraga, A. and Goitisolo, B. (2006). Simultaneous analysis: A joint study of several contingency tables with different margins. In: M. Greenacre, J. Blasius (Eds.), Multiple Correspondence Analysis and Related Methods, Chapman & Hall/CRC, Boca Raton, Fl, 327--350.

Zarraga, A. & Goitisolo, B. (2009). Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables. Computational Statistics and Data Analysis, 53, 3171--3182.

Examples

Run this code

data(shoplifting)
dataSA <- shoplifting

SimAn.out <- SimAn(data=dataSA, G=2, acg=list(1:9,10:18), weight= 2,
   nameg=c("M", "F"))
                                                       
### Graphs on screen without columns
plot(SimAn.out, oac=0)

### Graph on a pdf file
pdf('SAGr.pdf',paper="a4r",width=12,height=9)
plot(SimAn.out, s1=1, s2=2, screen=FALSE)
dev.off()