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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()

or for a french version:

new_challenge(template = "fr")

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

  • challenge.rmd: template R Markdown script for the webpage.
  • data: directory of the data containing data_train and data_test datasets.
  • submissions: directory of the submissions. It will contain one subdirectory per team where they can submit their submissions. The subdirectories are shared with Dropbox.
  • history: directory where the submissions history is stored.

The default challenge provided is a binary classification problem on the South German Credit data set.

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("team_foo", "team_bar")
  2. Render the HTML page:

    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 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:

  • store_new_submissions() reads submitted files and save new files in the history.
  • print_readerr() displays any read errors.
  • compute_metrics() calculates the scores for each submission in the history.
  • get_best() gets the highest score per team.
  • print_leaderboard() displays the leaderboard.
  • plot_history() plots a chart of score evolution per team.
  • plot_activity() plots a chart of activity per team.

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.

If your challenge is hosted on a Github repository you can automate the push:

0 * * * * cd ~/Dropbox/mychallenge && Rscript -e 'rchallenge::publish()' && git commit -m "update html" index.html && git push

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

Examples

Please contact me to add yours.

Copyright

Copyright (C) 2014-2015 Adrien Todeschini.

Contributions from Robin Genuer.

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

To do list

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

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Version

Install

install.packages('rchallenge')

Monthly Downloads

823

Version

1.3.4

License

GPL-2

Issues

Pull Requests

Stars

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Maintainer

Adrien Todeschini

Last Published

March 9th, 2021

Functions in rchallenge (1.3.4)

german

German Credit Data.
data_split

Split a data.frame into training and test sets.
html_img

HTML code for an image.
get_data

Get dataset value.
countdown

Countdown before deadline.
compute_metrics

Compute metrics of the submissions in the history.
new_challenge

Install a new challenge.
print_leaderboard

Format the leaderboard in Markdown.
plot_activity

Plot the density of submissions over time.
plot_history

Plot the history of the scores of each team over time.
new_team

Create new teams submission folders in your challenge.
icon

HTML code for icons.
last_update

Formatted last update date before deadline.
str_rank

String displayed for the rank.
print_readerr

Format read errors in Markdown.
update_rank_diff

Update the rank differences of the teams.
store_new_submissions

Store new submission files.
rchallenge-package

rchallenge: A Simple Data Science Challenge System
get_best

Get the best submissions per team.
data_partition

Data partitioning function adapted from the caret package.
rchallenge-defunct

Defunct functions in package ‘rchallenge’
publish

Render your challenge R Markdown script to a HTML page.