wines2012: Wines Data from 12 assessors described by 15 flavor profiles.
In ExPosition: Exploratory Analysis with the Singular Value Decomposition
wines2012 R Documentation
Wines Data from 12 assessors described by 15 flavor profiles.
Description
10 experts who describe 12 wines using four variables (cat-pee, passion
fruit, green pepper, and mineral) considered as standard, and up to two
additional variables if the experts chose.
Usage
data(wines2012)
Format
wines2012$data: A data set with 10 experts (studies) describing 12
wines (rows) using four to six variables using a scale from 1 to 9 with a
total of 53 measures (columns).
wines2012$table: A data matrix which
identifies the 10 experts (studies).
wines2012$supplementary: A data
matrix with 12 wines (rows) describing 4 Chemical Properties (columns).
References
Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M.
(2012). STATIS and DISTATIS: Optimum multi-table principal component
analysis and three way metric multidimensional scaling. Wiley
Interdisciplinary Reviews: Computational Statistics, 4, 124-167.
ExPosition documentation built on April 13, 2025, 5:08 p.m.
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| wines2012 | R Documentation |
Wines Data from 12 assessors described by 15 flavor profiles.
Description
10 experts who describe 12 wines using four variables (cat-pee, passion fruit, green pepper, and mineral) considered as standard, and up to two additional variables if the experts chose.
Usage
data(wines2012)
Format
wines2012$data: A data set with 10 experts (studies) describing 12
wines (rows) using four to six variables using a scale from 1 to 9 with a
total of 53 measures (columns).
wines2012$table: A data matrix which
identifies the 10 experts (studies).
wines2012$supplementary: A data
matrix with 12 wines (rows) describing 4 Chemical Properties (columns).
References
Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012). STATIS and DISTATIS: Optimum multi-table principal component analysis and three way metric multidimensional scaling. Wiley Interdisciplinary Reviews: Computational Statistics, 4, 124-167.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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