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

Welcome to r4stats.com! -Bob Muenchen

In the menus above under Articles you’ll find an analysis of data science 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, under Workshopsyou can learn about the training I have offered in partnership with the American Statistical AssociationDataCamp.comRStudio, New Horizons Computer Learning Centers, and Xerox Learning Services.

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

19 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.

    Cheers,
    Bob

  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!

      Cheers,
      Bob

  7. Moshood says:

    Hi Bob,

    I dont have a background in data analytics, Can I dive into the world of R or do I still need to do some refresher course.

    Thanks

    • muenchen.bob@gmail.com says:

      Hi Moshood,

      You can learn R as a programming language, but if you want to get into analytics, it would be good to get a book that introduces both at the same time. “Introductory Statistics with R” by Dalgaard is a good choice.

      Cheers,
      Bob

      Cheers,
      Bob

  8. Ankit Jha says:

    Hi Bob,
    I like the Examples section where you have showed data wrangling operations with implementations in multiple languages. Can you suggest a python blog on similar lines ?

  9. Martin Wissing says:

    For French speaking users “Comprendre et réaliser les tests statistiques à l’aide de R” by Gaël Millot is a great introductory course for both statistics and the use of R. Martin

  10. Kevin Wang says:

    Hi Bob, I am reading your “R for stata users”. Thank you for writing such a useful and interesting handbook. Do you plan to write a second (or revised) edition to follow the development of R and stata? I would be happy to buy it!

    • Bob Muenchen says:

      Hi Kevin,

      Sorry for the slow reply, I’ve been out of town. I’m planning a new edition, but it’s probably two years away. The R side will benefit greatly from the tidyverse packages. If you have ideas, please send them my way & I’ll acknowledge you in the preface.

      Cheers,
      Bob

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