wine

This dataset contains sensory assessment of 21 wines. The assessments are grouped
according to the tasting process and thus have a natural ordering with a all blocks pointing forward
to all remaining blocks in the process.
<img src="figures/wine.png?package=multiblock&version=0.8.8.2" alt="Path-diagram for wine data">

Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1)
"Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences".
This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting
functions, several real data sets and six vignettes covering a range different applications.

Kristian Hovde Liland

multiblock

Multiblock Data Fusion in Statistics and Machine Learning

Solve Sæbø

Stefan Schrunner

wine function

A data.frame having 21 rows and 5 variables:<dl>
<dt>Smell at rest</dt>
<dd>Matrix of sensory assessments</dd><dt>View</dt>
<dd>Matrix of sensory assessments</dd><dt>Smell after shaking</dt>
<dd>Matrix of sensory assessments</dd><dt>Tasting</dt>
<dd>Matrix of sensory assessments</dd><dt>Global quality</dt>
<dd>Matrix of sensory assessments</dd>
</dl>

Format

This dataset contains sensory assessment of 21 wines. The assessments are grouped
according to the tasting process and thus have a natural ordering with a all blocks pointing forward
to all remaining blocks in the process.
<img src='figures/wine.png' alt='Path-diagram for wine data' />

Wines of Val de Loire — wine

A data.frame having 21 rows and 5 variables:<dl>
<dt>Smell at rest</dt>
<dd>Matrix of sensory assessments</dd>

<dt>View</dt>
<dd>Matrix of sensory assessments</dd>

<dt>Smell after shaking</dt>
<dd>Matrix of sensory assessments</dd>

<dt>Tasting</dt>
<dd>Matrix of sensory assessments</dd>

<dt>Global quality</dt>
<dd>Matrix of sensory assessments</dd>


</dl>

wine: Wines of Val de Loire

Description

Usage

Arguments

Format

References