Statistical Analysis with R For Dummies
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One reason for the rapid rise of R is the supportive R community. It seems that as soon as someone becomes proficient in R, they immediately want to share their knowledge with others — and the web is the place to do it. This list points you to some of the helpful web-based resources the R community has created.

Websites for R Users

As you work with R, you might run into a situation or two that requires some expert help. The websites in this section can provide the assistance you need.


The R-bloggers website comprises the efforts of 750 R bloggers. By the time you visit, this number will surely be larger.

Statistics Ph.D. candidate Tal Galili runs the show. As he says, his objective is to empower R bloggers to empower R users. In addition to the blogs, you'll find links to courses, conferences, and job opportunities.

Microsoft R Application Network

Once upon a time, a terrific site called Inside-R provided a variety of resources for R users. Recently, Microsoft acquired Inside-R's parent company Revolution Analytics.

One result of this acquisition is the Microsoft R Application Network, (MRAN) which is where you'll find all the blogs and links that used to reside on Inside-R.

Another result of the acquisition is Microsoft R Open, which Microsoft bills as an "enhanced" distribution of R. You can download Microsoft R Open from the MRAN website.


Wesleyan University professor Rob Kabacoff created this website to introduce you to R and its application to statistical concepts, both introductory and advanced.

RStudio Online Learning

The great folks behind RStudio have created an online learning page that links to tutorials and examples to help you master R and related tools — and you get to learn the basics of data science as well.

Stack Overflow

Not limited to R, Stack Overflow is a multimillion-member community of programmers dedicated to helping each other. You can search their Q&A base for help with a problem, or you can ask a question. To ask a question, however, you have to be a member (it's free) and log in.

The site also provides links to jobs, documentation, and more.

Online Books and Documentation

The web has a wealth of books and documents that will help get you up to speed when it comes to R. One way to link to them is to click the Home button of the Help tab in RStudio.

Here are a few more resources.

R manuals

If you want to go directly to the source, visit the R manuals page. That's where you'll find links to the R Language Definition and other documentation.

R documentation

For links to even more R documentation, try


The RDocumentation page is quite a bit different from the web page in the previous section. This one doesn't link to manuals and other documents. Instead, this website enables you to search for R packages and functions that suit your needs.

How many packages are available? Over 12,000!

YOU CANanalytics

The brainchild of Roopham Upadhyay, the YOU CANanalytics website provides a number of helpful blogs and case studies, and could have gone into the first main section.

Why is it in this one? Because this page enables you to download classic R books in PDF format. Some of the titles are at the introductory level, some are advanced, and all of them are free!

A book in PDF format is a very long document. If you're reading it on a tablet, it's user-friendlier to turn the PDF file into an e-book. To do this, upload your PDF document into an e-reader like Google Playbooks, and voilà — your PDF file becomes an e-book.

The R Journal

Like academic publications, The R Journal is refereed — experts in the field decide whether a submitted article is worthy of publication.

Take a look at the articles, and you'll see what's in store for you when you become one of those experts!

About This Article

This article is from the book:

About the book author:

Joseph Schmuller, PhD, has taught undergraduate and graduate statistics, and has 25 years of IT experience. The author of four editions of Statistical Analysis with Excel For Dummies and three editions of Teach Yourself UML in 24 Hours (SAMS), he has created online coursework for and is a former Editor in Chief of PC AI magazine. He is a Research Scholar at the University of North Florida.

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