vis_correlation | R Documentation |
A dataset containing the aggregated responses of the participants. In this study, participants were asked to make multiple judgements about the correlation.
A data frame with 502 rows and 26 variables:
Participant identifier
Type of visualization used
The direction of the slope of the line (positive or negative)
The direction of the slope of the line (1 or -1)
A combination variable of visualization type and rdirection
The coefficient of correlation using which the stimuli was generated
NA
Estimated JND value for that participant
Condition that the participant was placed in (which is a combination of vis, rbase and approach)
Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay and Fanny Chevalier. (2019). "Increasing the transparency of research papers with explorable multiverse analyses." *Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems* pp. 1-15.
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.
Lane Harrison, 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.
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