Welcome to r4stats.com. This site’s mission is to analyze the world of analytics, and to help people learn to use R. R is free, open source, analytic software that is similar to the “big three” commercial packages: SAS, SPSS, and Stata.

Under Articles you’ll find an analysis of software popularity; a list of add-on products for SAS and SPSS as well as the R packages that do similar things; the many ways to call R from other software; and a few other articles. Shorter commentary is listed under Blog. A extensive set of programs showing how to do the same tasks in R, SAS, SPSS and Stata are listed under Examples. You’ll find information about my books, R for SAS and SPSS Users and R for Stata Users under Books. My reviews of other books is listed under Miscellaneous. Finally, you can learn about the training I offer in partnership with DataCamp.comRStudioRevolution Analytics, and Xerox Learning Services under Workshops.

I welcome comments or suggestions regarding this site or analytics in general, so feel free to contact me at muenchen.bob@gmail.com or on Twitter, @BobMuenchen.

11 Responses to Home

  1. Yang Zhenkai says:

    Hi, I am a student studying statistics in KU Leuven in Belgium. Recently my professor referred this website at class. And I find it is really helpful for my study. I am looking forward to more research and articles in your website!
    Yang Zhenkai

  2. Jim Hamilton says:

    Do you have any information on visualization packages such as D3 open source vs commercial packages. Really enjoyed your articles on R!

    Cheers, Jim

  3. Bob Muenchen says:

    Hi Edwina,

    Thanks, it’s just fascinating to watch the battle for dominance among these packages.


  4. Sai M says:

    Hi Bob, I’m a graduate student at American University. I am writing about stat packages for an independent study. I would love your input/just to share it with you, because I use your blog as a source.

  5. Tushar K says:

    I stumbled across this website and found the topics on this website very relevant to the current Analytics Trends. I am interested in understanding the connectivity between R & Hadoop framework like Hive, Pig as well as Spotfire. I wonder if you would recommend any API’s for this purpose.

  6. Kevin Morgan says:

    Hi Bob:
    Long time SAS user who is looking to expand the tool box. Recently picked up your book and have been really enjoying the process. Just wanted to say thanks for writing the book and I can’t wait until I get to start digging into, modeling and displaying some of our corporate data.

    Best Regards,

    Kevin Morgan

    • Bob Muenchen says:

      Hi Kevin,

      I hope you enjoy the book. Don’t forget to download the files from the Downloads menu above. The Corrections & Clarifications file is especially important as a few things in R and ggplot2 have changed and those changes are documented there. If you think of things you’d like to see in the next edition (at least a year away) please let me know!


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