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dropR: Dropout Analysis by Condition
Analysis and visualization of dropout between conditions in surveys and (online) experiments. Features include computation of dropout statistics, comparing dropout between conditions (e.g. Chi squared), analyzing survival (e.g. Kaplan-Meier estimation), comparing conditions with the most different rates of dropout (Kolmogorov-Smirnov) and visualizing the result of each in designated plotting functions. Article published in _Behavior Research Methods_ on 'dropR' by the authors: Dropout analysis: A method for data from Internet-based research and 'dropR', an R-based web app and package to analyze and visualize dropout. (2025) <doi:10.3758/s13428-025-02730-2>. Sources: Andrea Frick, Marie-Terese Baechtiger & Ulf-Dietrich Reips (2001) <doi:10.5167/uzh-19758>; Ulf-Dietrich Reips (2002) <doi:10.1026//1618-3169.49.4.243>.
Getting started
Browse package contents
Package details |
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| Author | Annika Tave Overlander [aut, cre] (ORCID: <https://orcid.org/0009-0006-8373-4086>), Matthias Bannert [aut], Ulf-Dietrich Reips [aut] (ORCID: <https://orcid.org/0000-0002-1566-4745>) |
| Maintainer | Annika Tave Overlander <annika-tave.overlander@uni.kn> |
| License | GPL (>= 3) |
| Version | 1.0.6 |
| URL | https://iscience-kn.github.io/dropR/ https://github.com/iscience-kn/dropR |
| Package repository | View on CRAN |
| Installation |
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