Nothing
mousetrap: Process and Analyze Mouse-Tracking Data
Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data. An introduction into mouse-tracking analyses using mousetrap can be found in Wulff, Kieslich, Henninger, Haslbeck, & Schulte-Mecklenbeck (2023) <doi:10.31234/osf.io/v685r> (preprint: <https://osf.io/preprints/psyarxiv/v685r>).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Pascal J. Kieslich [aut, cre] (<https://orcid.org/0000-0002-0853-9364>), Dirk U. Wulff [aut] (<https://orcid.org/0000-0002-4008-8022>), Felix Henninger [aut] (<https://orcid.org/0000-0002-7730-9511>), Jonas M. B. Haslbeck [aut], Sarah Brockhaus [ctb] |
| Maintainer | Pascal J. Kieslich <pascal.kieslich@gmail.com> |
| License | GPL-3 |
| Version | 3.2.2 |
| URL | https://github.com/pascalkieslich/mousetrap |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mousetrap package in your browser
Any scripts or data that you put into this service are public.
