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