Package: dropR 1.0.3

Annika Tave Overlander

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>.

Authors:Annika Tave Overlander [aut, cre], Matthias Bannert [aut], Ulf-Dietrich Reips [aut]

dropR_1.0.3.tar.gz
dropR_1.0.3.zip(r-4.5)dropR_1.0.3.zip(r-4.4)dropR_1.0.3.zip(r-4.3)
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dropR.pdf |dropR.html✨
dropR/json (API)
NEWS

# Install 'dropR' in R:

install.packages('dropR', repos = c('https://iscience-kn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/iscience-kn/dropr/issues

Datasets:

dropRdemo - Demo Dataset for Dropout in an Online Survey

On CRAN:

dropout experiments psychology social-science

5.89 score 4 stars 16 scripts 239 downloads 15 exports 53 dependencies

Last updated 1 days agofrom:37b4075c4c. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win	OK	Nov 05 2024
R-4.5-linux	OK	Nov 05 2024
R-4.4-win	OK	Nov 05 2024
R-4.4-mac	OK	Nov 05 2024
R-4.3-win	OK	Nov 05 2024
R-4.3-mac	OK	Nov 05 2024

Exports:add_dropout_idx compute_stats do_chisq do_kpm do_ks do_or_table do_steps get_odds get_odds_ratio get_steps_by_cond get_survdiff plot_do_curve plot_do_kpm plot_do_ks start_app

Dependencies:base64enc bslib cachem cli colorspace commonmark crayon data.table digest fansi farver fastmap fontawesome fs ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig promises R6 rappdirs RColorBrewer Rcpp rlang sass scales shiny sourcetools survival tibble utf8 vctrs viridisLite withr xtable

Interactive Dropout Analysis with dropR

Rendered frominteractive.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2024-07-03
Started: 2024-05-23

Running Dropout related Tests with dropR

Rendered fromtests.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2024-07-03
Started: 2024-05-23

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add Dropout Index to a Data.Frame	add_dropout_idx
Compute Dropout Statistics	compute_stats
Compute Chisq-Test Given a Question Position	do_chisq
Kaplan-Meier Survival Estimation	do_kpm
Compute Kolmogorov-Smirnov Test for most extreme conditions	do_ks
Dropout Odds Ratio Table	do_or_table
Calculate Steps for Uneven Data Points	do_steps
Demo Dataset for Dropout in an Online Survey	dropRdemo
Compute Odds From Probabilities	get_odds
Compute Odds Ratio	get_odds_ratio
Get Steps Data by Condition	get_steps_by_cond
Test Survival Curve Differences	get_survdiff
Plot Dropout Curves	plot_do_curve
Plot a Kaplan Meier Survival Estimation	plot_do_kpm
Plot Most Extreme Conditions to Visualize Kolmogorov-Smirnov Test Results	plot_do_ks
Start the dropR Shiny App	start_app