Data from Kay and Heer (2016), primarily used for testing and examples.

Details

For more details, see Kay and Heer (2016) or the Github repository describing the analysis: https://github.com/mjskay/ranking-correlation. The original experiment (but not this analysis of it) is described in Harrison et al. (2014).

data("RankCorr") is a substantially thinned version of the original posterior sample and has omitted several parameters in order for it to be a more manageable size.

data("RankCorr_u_tau") is used for testing and examples and is roughly the equivalent of the following:

data("RankCorr")

RankCorr_u_tau = tidybayes::spread_draws(RankCorr, u_tau[i]))

References

Kay, Matthew, and Jeffrey Heer. (2016). "Beyond Weber's law: A second look at ranking visualizations of correlation." IEEE transactions on visualization and computer graphics 22(1): 469-478. doi:10.1109/TVCG.2015.2467671

Harrison, Lane, Fumeng Yang, Steven Franconeri, and Remco Chang. (2014). "Ranking visualizations of correlation using Weber's law." IEEE transactions on visualization and computer graphics 20(12): 1943-1952. doi:10.1109/TVCG.2014.2346979