great.beer.tasting.1

<p>A collection of beer tasting notes of 9 beers, across 16 descriptors, from 4 untrained assessors.</p>

datasets

A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Derek Beaton

ExPosition

Exploratory Analysis with the Singular Value Decomposition

great.beer.tasting.1 function

<p>great.beer.tasting.1$data: Data matrix (cube). Tasting notes (ratings) of 9 different beers (rows) described by 16 different flavor profiles (columns) by 4 untrained assessors. Thes data contain NAs and must be imputed or adjusted before an analysis is performed.
great.beer.tasting.1$brewery.design: Design matrix. Source brewery of 9 different beers (rows) across 5 breweries (columns). 
great.beer.tasting.1$flavor: Design matrix. Intended prominent flavor of 9 different beers (rows) across 3 flavor profiles (columns).</p>

great.beer.tasting.1: A collection of beer tasting notes from untrained assessors.

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