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

### 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

1 2 3 4 5 6 7 8 9 10 |

### Arguments

`FC ` |
object of class FactoClass. |

`job ` |
A name to identify the exit. |

`append ` |
if is |

`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 |

`...` |
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 |

### 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

1 2 3 4 5 6 7 8 | ```
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)
``` |