Dropout Analysis by Condition [R package dropR version 1.0.3]

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//1618-3169494.243>.

Version: 1.0.3

Depends: R (≥ 3.0.0)

Imports: shiny, ggplot2, data.table, survival, lifecycle

Suggests: DT, shinydashboard, knitr, rmarkdown, kableExtra

Published: 2024年07月03日

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:

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_1.0.3.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

Linking:

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