| coffee {ClustVarLV} | R Documentation |
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.
Examples
data(coffee)
str(coffee)