Rdatasets
is a collection of nearly 1500 datasets that were originally distributed alongside the statistical software environment R
and some of its add-on packages. The goal is to make these data more broadly accessible for teaching and statistical software development.
The list of available datasets (csv and docs) is available here:
On the github repository you will also find:
Rdatasets.R
:R
script to download CSV copies and HTML docs for all datasets distributed inBase R
and a list of R packages.
Many R
packages ship with associated datasets, but the script included here only downloads data from packages that are installed locally on the machine where it is run. If you spot interesting data in a package distributed on CRAN, let me know. I will try to install that package on my computer and I will re-run the download script to see if the data can be added to this repository. Requests should be filed on the Github issue tracker.
Here are some packages that contain data but were not include in Rdatasets for one reason or another:
- CASdatasets:
install.packages("CASdatasets", repos = "http://cas.uqam.ca/pub/R/")
- Some of the included datasets exceed the Github size limit.
- Not on CRAN.
- Zelig
- Not on CRAN.
- gamclass
- Not on CRAN.
The code in this repository is licensed under GPL-3.
I believe that the R documentation which I copied to the Rdatasets html folder is licensed under GPL. You will find a copy of the GPL in the Rdatasets github repository.
I made a good faith effort to determine the license under which the actual data (i.e. rows/columns of numbers) were distributed, but I was unable to find a definitive answer. My understanding is that these datasets are free to re-distribute. However, if you own the rights to data that are included here and you object to their inclusion in Rdatasets, send me an email at vincent.arel-bundock@umontreal.ca. I will promptly remove the data in question and will make sure that all traces are erased from the git revision history.
These are mostly intended as a reminder for Vincent.
First add new package to DESCRIPTION Imports and scrape the data:
Rscript scrape.R
cd doc
../documentation.sh
Second, commit to master.
cd ..
git add .
git commit
Third, checkout gh-pages and import the new data there.
git checkout gh-pages
git checkout master -- csv
git checkout master -- doc
git checkout master -- datasets.csv
git checkout master -- datasets.html
git add .
git commit
Finally, move back to master and build the gh-pages website:
git checkout master
Rscript -e "pkgdown::deploy_to_branch()"