#### 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).