summary.CA

object

nb.dec

number of elements written (rows, columns, ...) ; use <code>nbelements = Inf</code> if you want to have all the elements

nbelements

boolean, if TRUE the names of the objects are written using the same number of characters

align.names

a connection, or a character string naming the file to print to

file

further arguments passed to or from other methods, such as cex, cex.main, ...

Printing summaries of correspondence analysis objects

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.

summary.CA: Printing summeries of ca objects

Description

Usage

Arguments

See Also