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 square), 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. Sources: Andrea Frick, Marie-Terese Baechtiger & Ulf-Dietrich Reips (2001) <https://www.researchgate.net/publication/223956222_Financial_incentives_personal_information_and_drop-out_in_online_studies>; Ulf-Dietrich Reips (2002) "Standards for Internet-Based Experimenting" <doi:10.1027//1618-3169.49.4.243>.
Version: 1.0.3 Depends: R (≥ 3.0.0) Imports: shiny, ggplot2, data.table, survival, lifecycle Suggests: DT, shinydashboard, knitr, rmarkdown, kableExtra Published: 2024-07-03 DOI: 10.32614/CRAN.package.dropR Author: Annika Tave Overlander [aut, cre], Matthias Bannert [aut], Ulf-Dietrich Reips [ctb] 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dropR to link to this page.
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