1.5 R resources
1.5.1 R Cheatsheets
Figure 1.4: The R reference card written by Tom Short is absolutely indispensable!
Over the course of this book, you will be learning lots of new functions. Wouldn’t it be nice if someone created a Cheatsheet / Dictionary of many common R functions? Yes it would, and thankfully several friendly R programmers have done just that. Below is a table of some of them that I recommend. I highly encourage you to print these out and start highlighting functions as you learn them!
1.5.2 Getting R help and inspiration online
Here are some great resources for R help and inspiration:
| Site | Description |
|---|---|
| www.google.com | Seriously, Google is any programmer’s best friend. More likely than not you will be directed to www.stackoverflow.com or www.stackexchange.com |
| www.r-bloggers.com | R bloggers is my go-to place to discover the latest and greatest with R. |
| blog.revolutionanalytics.com | Revolution analytics always has great R related material. |
1.5.3 Other R books
There are many, many excellent (non-pirate) books on R, some of which are available online for free. Here are some that I highly recommend:
| Book | Description |
|---|---|
| R for Data Science by Garrett Grolemund and Hadley Wickham | The best book to learn the latest tools for elegantly doing data science. |
| The R Book by Michael Crawley | As close to an R bible as you can get. |
| Advanced R by Hadley Wickham | A truly advanced book for expert R users, especially those with a programming background. Hadley Wickham is the R guru. |
| Discovering Statistics with R by Field, Miles and Field | A classic text focusing on the theory and practice of statistical analysis with R |
| Applied Predictive Modeling by Kuhn and Johnson | A great text specializing in statistical learning aka predictive modeling aka machine learning with R. |