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 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


Reference manual: dropR.pdf
Vignettes: Interactive Dropout Analysis with dropR
Running Dropout related Tests with dropR


Package source: dropR_1.0.3.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_1.0.3.tgz, r-oldrel (arm64): dropR_1.0.3.tgz, r-release (x86_64): dropR_1.0.3.tgz, r-oldrel (x86_64): dropR_1.0.3.tgz
Old sources: dropR archive


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