hedo_biscuit

hedo_biscuit data was collected from ratings of 294 consumers towards 8 products (cookies).

External preference mapping technique is commonly used in sensory analysis
field to connect consumer rating data that contains liking scores to sensory data
that incorporates sensory attributes' evaluations of the perceived products
Danzart(1998) (<doi:10.1006/fstl.1998.0373>). SensMap package provides the
mapping visualization from several features : options in dimension reduction methods
and prediction models ranging from linear to non linear regressions. A smoothed
version of the map performed using LOESS algorithm is available. A selection process
of map stability is provided. A 'shiny' application is included. It presents an easy
GUI for the implemented functions as well as a comparative tool of fit models
using several criteria. Basic analysis such as characterization of products,
panelists and sessions likewise consumer segmentation are also made available.

Ibtihel Rebhi

SensMap

Sensory and Consumer Data Mapping

hedo_biscuit function

<dl class="dl-horizontal">
 <dt><code>produit </code></dt><dd>factor : numbering the 8 products</dd>
 <dt><code>consumers</code></dt><dd>294 consumers : ratings of consumers</dd>
</dl>

Format

Consumer data — hedo_biscuit

<dl class='dl-horizontal'>
 <dt><code>produit </code></dt><dd>factor : numbering the 8 products</dd>
 <dt><code>consumers</code></dt><dd>294 consumers : ratings of consumers</dd>
</dl>

hedo_biscuit: Consumer data

Description

Usage

Arguments

Format

References