Here is some intro text about this fabulous R chart.
Learn more about R with these useful Resources
| Resource | Topic | Type | Why useful | Source/author |
|---|---|---|---|---|
| Introduction to Data Science | data analysis | ebook | It's highly readable, packed with useful examples and free -- what more could you want? This e-book isn't technically an "R book," but it uses R for all of its examples as it teaches concepts of data analysis. If you're familiar with that topic you may find some of the explanations rather basic, but there's still a lot of R code for things like analyzing tweet rates (including a helpful section on how to get Twitter OAuth authorization working in R), simple map mashups and basic linear regression. Although Stanton calls this an "electronic textbook," Introduction to Data Science has a conversational style that's pleasantly non-textbook like. There's a downloadable PDF as well as a version specifically for iOS -- that iOS download includes some interactive quizes. Highly recommend. | Jeffrey Stanton, University of Syracuse |
| R Cookbook | general R | book or ebook | Like the rest of the O'Reilly Cookbook series, this one offers how-to "recipes" for doing lots of different tasks, from the basics of R installation and creating simple data objects to generating probabilities, graphics and linear regressions. It has the addd bonus of being well written. If you like learning by example or are seeking a good R reference book, this is well worth adding to your reference library. | Paul Teetor, quant developer |
| R Graphics Cookbook | graphics | book or ebook | If you want to do beyond-the-basics graphics in R, this is a useful resource both for its graphics recipes and brief introduction to ggplot2. While this goes way beyond the graphics capabilities that I need in R, I'd recommend this if you're looking to move beyond advanced-beginner plotting. | Winston Chang, Rstudio |
| R in a Nutshell. | general R | book or ebook | A reasonably readable guide to R that teaches the language's fundamentals -- syntax, functions, data structures and so on -- as well as how-to statistical and graphics tasks. Useful if you want to start writing robust R programs, as it includes sections on functions, object-oriented programming and high-performance R | Joseph Adler, LinkedIn data scientist |
| R For Dummies | general R | book or ebook | I haven't had a chance to read this one, but it's garnered some good reviews on Amazon.com. If you're familiar with the Dummies series and have found them helpful in the past, you might want to check this one out. You can get a taste of the authors' style in the Programming in R section of Dummies.com, which has more than a 100 short sections such as How to construct vectors in R and How to use the apply family of functions in R. | Joris Meys and Andrie de Vries |
| Exploring Everyday Things with R and Ruby | general R | book or ebook | This book oddly goes from a couple of basic introductory chapters to some fairly robust, beyond-beginner programming examples; for those who are just starting to code, much of the book may be tough to follow at the outset. However, the intro to R is one of the better ones I've read, including lot of language fundamentals and basics of graphing with ggplot2. Plus you can see how a power user splits up tasks between a general language like Ruby and the statistics-focused R. | Sau Sheong Chang |
| Visualize This. | graphics | book or ebook | Most of this book is not about R, but there are several examples of visualizing data with R. And there's so much other interesting info here about how to tell stories with data that it's worth a read. | Nathan Yau, Flowing Data |