Table of Coordinates, Aids of Interpretation of the Principal Axes and Cluster Analysis in LaTeX format.

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Description

The coordinates, aids of interpretation and results of cluster analysis of an object of class FactoClass are written in tables for edition in LaTeX format and written in a file.

Usage

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FactoClass.tex(FC,job="",append=TRUE, dir = getwd(), p.clust = FALSE )

## S3 method for class 'FactoClass.tex'
print(x, ...)

latexDF(obj, job="latex" ,tit="" ,lab="" ,append=TRUE ,dec=1,
                     dir = getwd() , to.print = TRUE )
roundDF(tabla,dec=1)

    

Arguments

FC

object of class FactoClass.

job

A name to identify the exit.

append

if is 'TRUE' the exit in LaTeX format is added to the file.

dir

name of the directory in which the file is kept.

p.clust

the value of this parameter is 'TRUE' or 'FALSE' to print or not the cluster of each element.

tabla

object of class 'data frame'.

dec

number of decimal.

x

object of class FactoClass.tex

...

further arguments passed to or from other methods

obj

object of class data.frame.

tit

title of the table in LaTeX format.

lab

label of the table in LaTeX format.

to.print

if it is 'TRUE' the table is also printed in the console.

Details

This function helps with the construction of tables in LaTeX format. Besides, it allows a easy reading of the generated results by FactoClass. The function latexDF is an entrance to xtable and turns an object of class data.frame a table in LaTeX format.

Value

object of class FactoClass.tex with the following characteristics:

tvalp

eigenvalues * 1000.

c1

eigenvectors.

co

coordinates of the columns.

col.abs

contribution of each column to the inertia of the axis (percentage).

col.rel

quality of representation of each column (percentage).

col.cum

quality of representation of each column accumulated in the subspace (percentage).

li

coordinates of the rows.

row.abs

contribution of each rows to the inertia of the axis (percentage).

row.rel

quality of representation of each rows (percentage).

row.cum

quality of representation of each rows accumulated in the subspace (percentage).

indices

table of indices of level generated by the Ward cluster analysis.

cor.clus

coordinates of the center of gravity of each cluster.

clus.summ

summary of the cluster.

carac.cate

cluster characterization by qualitative variables.

carac.cont

cluster characterization by quantitative variables.

cluster

vector indicating the cluster of each element.

Author(s)

Pedro Cesar del Campo pcdelcampon@unal.edu.co, Campo Elias Pardo cepardot@unal.edu.co

Examples

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data(BreedsDogs)
BD.act <- BreedsDogs[-7]  # active variables
BD.ilu <- BreedsDogs[7]   # illustrative variables
# MCA
FaCl <- FactoClass( BD.act, dudi.acm,
                    scanFC = FALSE, dfilu = BD.ilu, nfcl = 10, k.clust = 4 )
FactoClass.tex(FaCl,job="BreedsDogs1", append=TRUE)
FactoClass.tex(FaCl,job="BreedsDogs", append=TRUE , p.clust = TRUE)