great.beer.tasting.2

A collection of beer tasting notes of 13 beers, across 15 descriptors, from
9 untrained assessors.

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

Cherise R. Chin Fatt

Herve Abdi

great.beer.tasting.2 function

great.beer.tasting.2$data: Data matrix (cube). Tasting notes
(ratings) of 13 different beers (rows) described by 15 different flavor
profiles (columns) by 9 untrained assessors. All original values were on an
interval scale of 0-5. Any decimal values are imputed from alternate data
sources or additional assessors. great.beer.tasting.2$brewery.design:
Design matrix. Source brewery of 13 different beers (rows) across 13
breweries (columns). great.beer.tasting.2$style.design: Design matrix.
Style of 13 different beers (rows) across 8 styles (columns). Some complex
styles were truncated.

Format

A collection of beer tasting notes from untrained assessors. — great.beer.tasting.2

great.beer.tasting.2$data: Data matrix (cube). Tasting notes
(ratings) of 13 different beers (rows) described by 15 different flavor
profiles (columns) by 9 untrained assessors. All original values were on an
interval scale of 0-5. Any decimal values are imputed from alternate data
sources or additional assessors. great.beer.tasting.2$brewery.design:
Design matrix. Source brewery of 13 different beers (rows) across 13
breweries (columns). great.beer.tasting.2$style.design: Design matrix.
Style of 13 different beers (rows) across 8 styles (columns). Some complex
styles were truncated.

great.beer.tasting.2: A collection of beer tasting notes from untrained assessors.

Description

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