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dropR  

Dropout Analysis by Condition
View on CRAN: Click here


Download and install dropR package within the R console
Install from CRAN:
install.packages("dropR")

Install from Github:
library("remotes")
install_github("cran/dropR")

Install by package version:
library("remotes")
install_version("dropR", "1.0.3")



Attach the package and use:
library("dropR")
Maintained by
Annika Tave Overlander
[Scholar Profile | Author Map]
First Published: 2015-01-02
Latest Update: 2024-07-03
Description:
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>.
How to cite:
Annika Tave Overlander (2015). dropR: Dropout Analysis by Condition. R package version 1.0.3, https://cran.r-project.org/web/packages/dropR. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.1 (2015-01-02 06:52)
Other packages that cited dropR R package
View dropR citation profile
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Complete documentation for dropR
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Full dropR package functions and examples
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