beer.tasting.notes

<p>Tasting notes, preferences, breweries and styles of 38 different craft beers from various breweries, across various styles.</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

beer.tasting.notes function

<p>beer.tasting.notes$data: Data matrix. Tasting notes (ratings) of 38 different beers (rows) described by 16 different flavor profiles (columns).
beer.tasting.notes$brewery.design: Design matrix. Source brewery of 38 different beers (rows) across 26 breweries (columns). 
beer.tasting.notes$style.design: Design matrix. Style of 38 different beers (rows) across 20 styles (columns) (styles as listed from Beer Advocate website). 
beer.tasting.notes$sup.data: Supplementary data matrix. ABV and overall preference ratings of 38 beers described by two features (ABV &amp; overall) in original value and rounded value.</p>

beer.tasting.notes: Some of authors' personal beer tasting notes.

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