departments

Departments and regions of metropolitan France.

datasets

The data consist of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.

Pierre Santagostini

Three-Way / Multigroup Data Analysis Through Densities

Rachid Boumaza

Smail Yousfi

Gilles Hunault

Julie Bourbeillon

Besnik Pumo

Sabine Demotes-Mainard

departments function

<code>departments</code> is a data frame with 96 rows and 4 columns (factors):<dl>
 <dt><code>coded: </code></dt>
<dd>departments: numbers</dd> <dt><code>named: </code></dt>
<dd>departments: names</dd> <dt><code>coder: </code></dt>
<dd>regions: ISO code</dd> <dt><code>namer: </code></dt>
<dd>region: names</dd> 
</dl>

Format

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard

Author

French departments and regions — departments

<code>departments</code> is a data frame with 96 rows and 4 columns (factors):<dl>
 <dt><code>coded: </code></dt>
<dd>departments: numbers</dd>

 <dt><code>named: </code></dt>
<dd>departments: names</dd>

 <dt><code>coder: </code></dt>
<dd>regions: ISO code</dd>

 <dt><code>namer: </code></dt>
<dd>region: names</dd>

 
</dl>

departments: French departments and regions

Description

Usage

Arguments

Format

Author

Examples