candies

A dataset containing 9 sensory attributes for 5 candies assessed
by 11 trained assessors.

Functions and datasets to support Smilde, N<c3><a6>s 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 S<c3><a6>b<c3><b8>

Stefan Schrunner

candies function

A data.frame having 165 rows and 3 variables:<dl class="dl-horizontal">
<dt>assessment</dt><dd>Matrix of sensory attributes</dd>
<dt>assessor</dt><dd>Factor of assessors</dd>
<dt>candy</dt><dd>Factor of candies</dd>
</dl>

Format

Sensory assessment of candies. — candies

A data.frame having 165 rows and 3 variables:<dl class='dl-horizontal'>
<dt>assessment</dt><dd>Matrix of sensory attributes</dd>
<dt>assessor</dt><dd>Factor of assessors</dd>
<dt>candy</dt><dd>Factor of candies</dd>
</dl>

candies: Sensory assessment of candies.

Description

Usage

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References