potato_visual {BayesMallows}R Documentation

Potato weights assessed visually

Description

Result of ranking potatoes by weight, where the assessors were only allowed to inspected the potatoes visually. 12 assessors ranked 20 potatoes.

Usage

potato_visual

Format

An object of class matrix (inherits from array) with 12 rows and 20 columns.

References

Liu Q, Crispino M, Scheel I, Vitelli V, Frigessi A (2019). “Model-Based Learning from Preference Data.” Annual Review of Statistics and Its Application, 6(1). doi:10.1146/annurev-statistics-031017-100213.

See Also

Other datasets: beach_preferences, bernoulli_data, cluster_data, potato_true_ranking, potato_weighing, sushi_rankings


[Package BayesMallows version 2.2.1 Index]