roses

Sensory data characterising the visual aspect of 10 rosebushes

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

roses function

<code>roses</code> is a data frame of sensory data with 420 rows (10 products, 14 assessors, 3 sessions) and 17 columns. The first 16 columns are numeric and correspond to 16 visual characteristics of rosebushes. The last column is a factor giving the name of the corresponding rosebush.<dl>
 <dt><code>Sha: </code></dt>
<dd>top sided shape</dd> <dt><code>Den: </code></dt>
<dd>foliage thickness</dd> <dt><code>Sym: </code></dt>
<dd>plant symmetry</dd> <dt><code>Vgr: </code></dt>
<dd>stem vigour</dd> <dt><code>Qrm: </code></dt>
<dd>quantity of stems</dd> <dt><code>Htr: </code></dt>
<dd>branching level</dd> <dt><code>Qfl: </code></dt>
<dd>quantity of flowers</dd> <dt><code>Efl: </code></dt>
<dd>staggering of flowering</dd> <dt><code>Mvfl: </code></dt>
<dd>flower enhancement</dd> <dt><code>Difl: </code></dt>
<dd>flower size</dd> <dt><code>Qfr: </code></dt>
<dd>quantity of faded flowers/fruits</dd> <dt><code>Qbt: </code></dt>
<dd>quantity of floral buds</dd> <dt><code>Defl: </code></dt>
<dd>density of flower petals</dd> <dt><code>Vcfl: </code></dt>
<dd>intensity of flower colour</dd> <dt><code>Tfe: </code></dt>
<dd>leaf size</dd> <dt><code>Vfe: </code></dt>
<dd>darkness of leaf colour</dd> <dt><code>rose: </code></dt>
<dd>factor with 10 levels: <code>A</code>, <code>B</code>, <code>C</code>, <code>D</code>, 
 <code>E</code>, <code>F</code>, <code>G</code>, <code>H</code>, <code>I</code> and <code>J</code></dd> 
</dl>

Format

Roses data — roses

<code>roses</code> is a data frame of sensory data with 420 rows (10 products, 14 assessors, 3 sessions) and 17 columns. The first 16 columns are numeric and correspond to 16 visual characteristics of rosebushes. The last column is a factor giving the name of the corresponding rosebush.<dl>
 <dt><code>Sha: </code></dt>
<dd>top sided shape</dd>

 <dt><code>Den: </code></dt>
<dd>foliage thickness</dd>

 <dt><code>Sym: </code></dt>
<dd>plant symmetry</dd>

 <dt><code>Vgr: </code></dt>
<dd>stem vigour</dd>

 <dt><code>Qrm: </code></dt>
<dd>quantity of stems</dd>

 <dt><code>Htr: </code></dt>
<dd>branching level</dd>

 <dt><code>Qfl: </code></dt>
<dd>quantity of flowers</dd>

 <dt><code>Efl: </code></dt>
<dd>staggering of flowering</dd>

 <dt><code>Mvfl: </code></dt>
<dd>flower enhancement</dd>

 <dt><code>Difl: </code></dt>
<dd>flower size</dd>

 <dt><code>Qfr: </code></dt>
<dd>quantity of faded flowers/fruits</dd>

 <dt><code>Qbt: </code></dt>
<dd>quantity of floral buds</dd>

 <dt><code>Defl: </code></dt>
<dd>density of flower petals</dd>

 <dt><code>Vcfl: </code></dt>
<dd>intensity of flower colour</dd>

 <dt><code>Tfe: </code></dt>
<dd>leaf size</dd>

 <dt><code>Vfe: </code></dt>
<dd>darkness of leaf colour</dd>

 <dt><code>rose: </code></dt>
<dd>factor with 10 levels: <code>A</code>, <code>B</code>, <code>C</code>, <code>D</code>, 
 <code>E</code>, <code>F</code>, <code>G</code>, <code>H</code>, <code>I</code> and <code>J</code></dd>

 
</dl>

roses: Roses data

Description

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Arguments

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Examples