sixBeers12Descriptors10Judges: Ten tasters evaluated the intensity of twelve descriptors for...

In HerveAbdi/data4PCCAR: Some data sets and R-functions for PCA and CA to accompany Abdi & Beaton (to appear, 2023) Principal Component and Correspondence Analysis with R

Ten tasters evaluated the intensity of twelve descriptors for six beers. These data can be used to illustrate: un-normed (or normed) Principal Component Analysis (PCA) or Correspondence Analysis (CA).

Description

sixBeers12Descriptors10Judges: tasters evaluated the intensity of twelve descriptors for six beers. These data can be used to illustrate: un-normed (or normed) Principal Component Analysis (PCA) and Correspondence Analysis (CA). The data are the averages (computed over the 10 judges) of the intensity ratings of the descriptors for the beers.

Usage

data("sixBeers12Descriptors10Judges", 
       package = 'data4PCCAR')

Format

A list (of class: sixBeers12Descriptors) containing one data frame, one tibble, and several vectors:

• ratingsIntensity: A data frame of dimension I = 6 rows (Beers) by J = 12 columns (descriptors) with the average intensity ratings performed using a 0 to 7 Likert rating scale.

• tb: A tibble with the same data as the data frame ratingsIntensity, but with in addition three (character) columns describing the beers (see below shortNames, brewedIn, color4I).

• longNamesBeers: A 6 element vector with the full names of the beers. brewedIn, A 6 element vector with the name of the country of origin of the beers.

• color4Products: A 6 element vector with color names matching the origin of the beers.

• descripteurs: A 12 element vector with the French name of the descriptors.

• color4Descriptors: A 12 element vector with color names for the descriptors.

Author(s)

Hervé Abdi & Carlos Gomez.

References

These data are used in Abdi H, Gomez, C., & Delmas, M. (2022). Méthodes Statistiques Multivariées pour l'Analyse Sensorielle et les Etudes Consommateurs.

HerveAbdi/data4PCCAR documentation built on July 20, 2024, 7:52 a.m.