Blogs on R | Statistics

September 28, 2009

(This article was first published on Jeromy Anglim's Blog: Psychology and Statistics, and kindly contributed to R-bloggers)

What are the current blogs on R? What do they cover?
What makes a good blog on R?
Of course different readers look for different things, but for me a good blog on R:

  • Provides a Gateway: The blog discovers and shares useful external material and explains why it’s useful
  • Provides A Forum: The blog raises important issues and topics. Better yet if the blog can initiate debate.
  • Generates Original Content: In particular it is useful if it can teach the reader how to do something. Better yet if the thing taught is of general appeal and is taught clearly.
  • Posts Frequently: E.g., 2+ posts per week.

Blogs on R:
UPDATE: R bloggers compiles many of the blogs on R into a single source and is probably the best place to find a list of Blogs on R. You can also subscribe to all of them through R bloggers.

These are some blogs on R to which I subscribe.

I’ve probably left some out and new blogs on R seem to be coming up all the time. Feel free to add any missing ones in the comments to this post.
Related Posts:

To leave a comment for the author, please follow the link and comment on their blog: Jeromy Anglim's Blog: Psychology and Statistics. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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