R scripts and functions.
We developed a new nonparametric testing procedure based on the truncated Kolmogorov-Smirnov test for evaluating the race model inequality (RMI; Miller, 1982) in single participant's data. The procedure is implemented using a simple R function which only requires the base R package (R Core Team, 2018) to be installed. The R script function works with raw observed reaction times for three samples of observations, x (RT observations for the first single signal condition), y (RT observations for the second single signal condition),
and z (RT observations for the redundant signal condition), and can be collected with any recording software capable to export data in .csv format.
[R main function] (.R).
[Example] (.R).
Main Reference
Lombardi L., D'Alessandro M., & Colonius H. (2018). A nonparametric test for the race model inequality.
Behavior Research Methods, 1-12. Online first article.
(publisher web site) |
(full-text view-only version)
Supplementary Material
Lombardi L., D'Alessandro M., & Colonius H. (2018).
Online Supplementary Material.
(pdf).