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>.

Version: 1.0.6
Depends: R (≥ 3.0.0)
Imports: shiny, ggplot2, data.table, survival, lifecycle
Suggests: DT, shinydashboard, knitr, rmarkdown, kableExtra, testthat (≥ 3.0.0)
Published: 2026-03-03
DOI: 10.32614/CRAN.package.dropR
Author: Annika Tave Overlander ORCID iD [aut, cre], Matthias Bannert [aut], Ulf-Dietrich Reips ORCID iD [aut]
Maintainer: Annika Tave Overlander <annika-tave.overlander at uni.kn>
License: GPL (≥ 3)
URL: https://iscience-kn.github.io/dropR/, https://github.com/iscience-kn/dropR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dropR results

Documentation:

Reference manual: dropR.html , dropR.pdf
Vignettes: Interactive Dropout Analysis with dropR (source, R code)
Running Dropout related Tests with dropR (source, R code)

Downloads:

Package source: dropR_1.0.6.tar.gz
Windows binaries: r-devel: dropR_1.0.3.zip, r-release: dropR_1.0.3.zip, r-oldrel: dropR_1.0.3.zip
macOS binaries: r-release (arm64): dropR_1.0.6.tgz, r-oldrel (arm64): dropR_1.0.6.tgz, r-release (x86_64): dropR_1.0.6.tgz, r-oldrel (x86_64): dropR_1.0.6.tgz
Old sources: dropR archive

Linking:

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