29 years of #rstats community knowledge was sitting in hard-to-search pipermail archives. So I built a more modern home for it.
Introducing the R Mailing List Archives: 631,000+ messages from 32 lists, fully searchable and available as open data.
29 years of #rstats community knowledge was sitting in hard-to-search pipermail archives. So I built a more modern home for it.
Introducing the R Mailing List Archives: 631,000+ messages from 32 lists, fully searchable and available as open data.
Every message is parsed, threaded, and indexed. You can browse threads, see who replied to whom, and actually follow conversations that shaped the language.
Here's a recent R-SIG-Mac thread about macOS 26:
https://r-mailing-lists.thecoatlessprofessor.com/lists/r-sig-mac/msg/msg-0b1a4d0c59cf/
Want to do your own analysis? The full archive is available as Apache Parquet files, updated nightly via GitHub Actions.
One-liner to load any list in R or Python. No cloning required.
If you've ever wished you could grep through R-help, find that one Brian Ripley reply about CRAN policy from 2009, or just see who the top contributors to R-SIG-Finance were... now you can.
Blog post with all the details: https://blog.thecoatlessprofessor.com/posts/r-mailing-list-archives/