Dropout Analysis by Condition R package dropR version 1.0.6 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>. Software Depends: R (>= 3.0.0) Imports: shiny, ggplot2, data.table, survival, lifecycle Suggests: DT, shinydashboard, knitr, rmarkdown, kableExtra, testthat (>= 3.0.0) Annika Tave Overlander <annika-tave.overlander@uni.kn> Comprehensive R Archive Network (CRAN) 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>) GPL (>= 3) 2026-03-03 application/tgz https://CRAN.R-project.org/package=dropR doi:10.32614/CRAN.package.dropR