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coffee

coffee data


Description

Case study pertaining to consumer emotions associations for a variety of 12 coffee aromas. The participants were asked to complete each rating (i.e., rating the odor of 12 aromas on 15 emotion terms) on a 5-point rating scale.

Usage

data(coffee)

Format

An object of class "array" with 12 odors (mode 1), 84 subjects (mode 2) and 15 emotions (mode 3):

odors

Vanilla, B.Rice, Lemon, Coffee.Flower, Cedar, Hazelnut, Coriander.Seed, Honey, Medicine, Apricot, Earth, Hay

subjects

persons from Oniris

emotions

Amused, Angry, Calm, Disappointed, Disgusted, Energetic, Excited, Free, Happy, Irritated, Nostalgic, Surprised, Unique, Unpleasant and Well

References

Cariou, V., & Wilderjans, T. F. (2018). Consumer segmentation in multi-attribute product evaluation by means of non-negatively constrained CLV3W. Food Quality and Preference, 67, 18-26. (ScienceDirect)

Examples

data(coffee)
str(coffee)

ClustVarLV

Clustering of Variables Around Latent Variables

v2.0.1
GPL-3
Authors
Evelyne Vigneau [aut, cre], Mingkun Chen [ctb], Veronique Cariou [aut]
Initial release

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