Learn R Programming

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.

Copy Link

Version

Install

install.packages('dropR')

Monthly Downloads

232

Version

1.0.3

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Annika Tave Overlander

Last Published

July 3rd, 2024

Functions in dropR (1.0.3)

get_steps_by_cond

Get Steps Data by Condition
get_odds

Compute Odds From Probabilities
do_ks

Compute Kolmogorov-Smirnov Test for most extreme conditions
do_or_table

Dropout Odds Ratio Table
add_dropout_idx

Add Dropout Index to a Data.Frame
do_chisq

Compute Chisq-Test Given a Question Position
do_steps

Calculate Steps for Uneven Data Points
compute_stats

Compute Dropout Statistics
dropRdemo

Demo Dataset for Dropout in an Online Survey
dropR-package

dropR: Dropout Analysis by Condition
do_kpm

Kaplan-Meier Survival Estimation
plot_do_curve

Plot Dropout Curves
plot_do_kpm

Plot a Kaplan Meier Survival Estimation
get_survdiff

Test Survival Curve Differences
plot_do_ks

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

Compute Odds Ratio
start_app

Start the dropR Shiny App