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.

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, you can learn about the training I offer in partnership with DataCamp.com, RStudio, Revolution 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.

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

Hi Yang Zhenkai,

I’m glad you found it useful!

Cheers, Bob

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

Cheers, Jim

Hi Jim,

No, I don’t have any info on the popularity of visualization packages. However, R’s ggplot2 package is wonderful & you can control it through PlotBuilder:

I’ve also been impressed by the free VISIT program:

https://wci.llnl.gov/codes/visit/

D3 is new to me but it looks pretty interesting.

Cheers,

Bob

Hi Edwina,

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

Cheers,

Bob

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.

Hi Sai M,

I’d be happy to help. You can reach me at muenchen.bob@gmail.com.

Cheers,

Bob

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.

Hi Tushar,

Sorry, but I haven’t had a chance to fiddle with those yet.

Cheers,

Bob

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

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

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

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