escopage

This data set describes 27 characteristics of 21 wines distributed in four fields : 
rest, visual, olfactory and global.

datasets

Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.

Aurélie Siberchicot

ade4

Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences

escopage function

<code>escopage</code> is a list of 3 components.<dl>
 <dt>tab</dt>
<dd>is a data frame with 21 observations (wines) and 27 variables.</dd> <dt>tab.names</dt>
<dd>is the vector of the names of sub-tables : "rest" "visual" "olfactory" "global".</dd> <dt>blo</dt>
<dd>is a vector of the numbers of variables for each sub-table.</dd> 
</dl>

Format

K-tables of wine-tasting — escopage

<code>escopage</code> is a list of 3 components.<dl>
 <dt>tab</dt>
<dd>is a data frame with 21 observations (wines) and 27 variables.</dd>

 <dt>tab.names</dt>
<dd>is the vector of the names of sub-tables : "rest" "visual" "olfactory" "global".</dd>

 <dt>blo</dt>
<dd>is a vector of the numbers of variables for each sub-table.</dd>

 
</dl>

escopage: K-tables of wine-tasting

Description

Usage

Arguments

Format

Examples