BTTL (version 1.0.0)

eba: Pairwise comparison data

Description

This is a real dataset containing pairwise preferences on 13 different eba varieties across eight attributes.

Usage

data("eba")

Format

A list with eight matrices. Each matrix consists of pairwise comparisons across one of the eight attributes. The first column contains the preferred object, whilst the second column contains the non-preferred object. In order of appearance, the matrices contain pairwise comparisons on the following attributes: consumer overall preference, color, odour, firmness, stretchability, taste, smoothness and mouldability.

Details

Contains the data used in the Hermes et al. (2024) paper.

References

1. Hermes, S., van Heerwaarden, J., and Behrouzi, P. (2024). Multi-Attribute Preferences: A Transfer Learning Approach. arXiv preprint, arXiv:2408.10558
2. Olaosebikan, O., A. Bello, K. De Sousa, R. Ndjouenkeu, M. Adesokan, E. Alamu, A. Agbona, J. Van Etten, F. N. K´egah, D. Dufour, et al. (2023). Drivers of consumer acceptability of cassava gari-eba food products across cultural and environmental settings using the triadic comparison of technologies approach (tricot). Journal of the Science of Food and Agriculture.

Examples

data(eba)