rchallenge

The rchallenge R package provides a simple data science competition system using R Markdown and Dropbox with the following features:

• No network configuration required.
• Does not depend on external platforms like e.g. Kaggle.
• Can be easily installed on a personal computer.
• Provides a customizable template in english and french.

Further documentation is available in the Reference manual.

Please report bugs, troubles or discussions on the Issues tracker. Any contribution to improve the package is welcome.

Installation

Install the R package from CRAN repositories

install.packages("rchallenge")

or install the latest development version from GitHub

# install.packages("devtools")
devtools::install_github("adrtod/rchallenge")

A recent version of pandoc (>= 1.12.3) is also required. See the pandoc installation instructions for details on installing pandoc for your platform.

Getting started

Install a new challenge in Dropbox/mychallenge:

setwd("~/Dropbox/mychallenge")
library(rchallenge)
?new_challenge
new_challenge()

or for a french version:

new_challenge(template = "fr")

You will obtain a ready-to-use challenge in the folder Dropbox/mychallenge containing:

The default challenge provided is a binary classification problem on the German Credit Card dataset.

You can easily customize the challenge in two ways:

• During the creation of the challenge: by using the options of the new_challenge function.
• After the creation of the challenge: by manually replacing the data files in the data subdirectory and the baseline predictions in submissions/baseline and by customizing the template challenge.rmd as needed.

Next steps

To complete the installation:

1. Create and share subdirectories in submissions for each team:

   ?new_team
   new_team("team_foo", "team_bar")

2. Render the html page:

   ?publish
   publish()

   Use the output_dir argument to change the output directory. Make sure the output HTML file is rendered, e.g. using GitHub Pages.

3. Give the URL to your challenge.html file to the participants.

4. Refresh the webpage by repeating step 2 on a regular basis. See below for automating this step.

From now on, a fully autonomous challenge system is set up requiring no further administration. With each update, the program automatically performs the following tasks using the functions available in our package:

Automating the updates

Unix/OSX

You can setup the following line to your crontab using crontab -e (mind the quotes):

0 * * * * Rscript -e 'rchallenge::publish("~/Dropbox/mychallenge/challenge.rmd")'

This will render a HTML webpage every hour. Use the output_dir argument to change the output directory.

You might have to add the path to Rscript and pandoc at the beginning of your crontab:

PATH=/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin

Depending on your system or pandoc version you might also have to explicitly add the encoding option to the command:

0 * * * * Rscript -e 'rchallenge::publish("~/Dropbox/mychallenge/challenge.rmd", encoding = "utf8")'

Windows

You can use the Task Scheduler to create a new task with a Start a program action with the settings (mind the quotes):

• Program/script: Rscript.exe
• options: -e rchallenge::publish('~/Dropbox/mychallenge/challenge.rmd')

Issues

• The rendering of HTML content provided by Dropbox will be discontinued from the 3rd October 2016 for Basic users and the 1st September 2017 for Pro and Business users. See https://www.dropbox.com/help/16. Alternatively, GitHub Pages provide an easy HTML publishing solution via a simple GitHub repository.

Examples

• My own challenge (in french) given to Master students at the University of Bordeaux.

• A classification and variable selection problem (in french) given by Robin Genuer (Bordeaux).

Please contact me to add yours.

Copyright

Copyright (C) 2014-2015 Adrien Todeschini.

Contributions from Robin Genuer.

Design inspired by Datascience.net, a french platform for data science challenges.

The rchallenge package is licensed under the GPLv2 (https://www.gnu.org/licenses/gpl-2.0.html).

To do list

• common leaderboard for several metrics
• do not take baseline into account in ranking
• examples, tests, vignettes
• interactive plots with ggvis
• check arguments
• interactive webpage using Shiny