SFPL (version 1.0.0)

ghana: Ranking data

Description

This is a real dataset containing information on 5 object variables describing the properties of 13 different sweet potato varieties. In addition, the dataset contains partial rankings made by men and women from Ghana.

Usage

data("ghana")

Format

A list with three dataframes. The first consists of the rankings made by men, the second consists of the rankings made by women and the third contain the object variables.

Details

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

References

1. Hermes, S., van Heerwaarden, J., and Behrouzi, P. (2024). Joint Learning from Heterogeneous Rank Data. arXiv preprint, arXiv:2407.10846
2. Moyo, M., R. Ssali, S. Namanda, M. Nakitto, E. K. Dery, D. Akansake, J. Adjebeng-Danquah, J. van Etten, K. de Sousa, H. Lindqvist-Kreuze, et al. (2021). Consumer preference testing of boiled sweetpotato using crowdsourced citizen science in Ghana and Uganda. Frontiers in Sustainable Food Systems 5, 620363.

Examples

data(ghana)