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dropR: Dropout Analysis by Condition

Installation

You can install the development version of dropR from GitHub with:

# install.packages("remotes")
remotes::install_github("iscience-kn/dropR")

We are currently working to get dropR back on CRAN. Once it’s up again, you can install dropR via

install.packages("dropR")

Usage as a Shiny App (Graphical User Interface)

To start dropR’s built-in GUI, run

dropR::start_app()

or visit the dropR Web App.

Interactive Usage (use dropR on the R Console)

You can also use dropR’s functionality within R, i.e., either in the console or within your own functions and packages. Read more about interactive usage of dropR in our walkthrough article.

#> ℹ Loading dropR
#> 
#> Welcome to dropR,
#> to start the interactive Graphical User Interface locally in your R session,
#> run start_app()

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Version

Install

install.packages('dropR')

Monthly Downloads

215

Version

1.0.6

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Annika Tave Overlander

Last Published

March 3rd, 2026

Functions in dropR (1.0.6)

dropR-package

dropR: Dropout Analysis by Condition
add_dropout_idx

Add Dropout Index to a Data.Frame
dropRdemo

Demo Dataset for Dropout in an Online Survey
do_or_table

Dropout Odds Ratio Table
compute_stats

Compute Dropout Statistics
do_chisq

Compute Chi-Squared Test Given a Question Position
do_print

Print dropout / test results in a compact, report-ready string
do_ks

Compute Kolmogorov-Smirnov Test for most extreme conditions
do_kpm

Kaplan-Meier Survival Estimation
do_steps

Calculate Steps for Uneven Data Points
get_odds_ratio

Compute Odds Ratio
get_odds

Compute Odds From Probabilities
get_steps_by_cond

Get Steps Data by Condition
get_survdiff

Test Survival Curve Differences
plot_do_curve

Plot Dropout Curves
plot_do_ks

Plot Most Extreme Conditions to Visualize Kolmogorov-Smirnov Test Results
start_app

Start the dropR Shiny App
plot_do_kpm

Plot a Kaplan Meier Survival Estimation