François Briatte
François Briatte
À mon avis, ça vaudrait vraiment le coup, et Alexandre Hobeika a fait un [super tutoriel](http://data.hypotheses.org/959) très facilement adaptable. _Packages_ recommandés : `stringr` (qui utilise `stringi` en back-office).
Si ça peut être pertinent, quelques exemples basiques : http://f.briatte.org/teaching/ida/090_ts.html http://f.briatte.org/teaching/ida/091_lags.html http://f.briatte.org/teaching/ida/092_smoothing.html http://f.briatte.org/teaching/ida/093_practice.html
Thanks for the merge. Here's some draft documentation, taken from the unpublished blog post cited in the [initial commit](https://github.com/rpsychologist/PubMed/pull/2#issue-35729215).
Sorry to bring some bad news -- the generator does not seem to work on OS X 10.9.5 with R 3.3.1, possibly because `Rscript` might be located somewhere else than...
https://scubed.netlify.app/courses/ Selection: - https://scubed.netlify.app/courses/1_intro_r_tidyverse/ - https://scubed.netlify.app/courses/3_data_viz/ - https://scubed.netlify.app/courses/4_intro_stats/ - https://scubed.netlify.app/courses/5_inferential_statistics/ - https://scubed.netlify.app/courses/7_regression_with_r/ - https://scubed.netlify.app/courses/9_statistical_thinking/
https://datasciencebox.org/
For R packages - https://cran.r-project.org/src/contrib/Archive/igraph/ - already packaged: https://r-hub.github.io/pkgsearch/#get-package-metadata - adjusted download counts: https://github.com/tylermorganwall/adjustedcranlogs For Python packages - https://pypi.org/project/BeautifulSoup/#history - https://pypi.org/rss/project/beautifulsoup/releases.xml (might be truncated?)
https://luukvdmeer.github.io/sfnetworks/ via https://www.data-imaginist.com/posts/2024-02-15-ggraph-2-2-0/
https://www.nber.org/research/data?page=1&perPage=100 via Anthony (thanks!)