Looking to learn R or improve your R skills? You've come to the right place. Whether you're a beginner, an intermediate user or an advanced R programmer, these how-to guides and links to online tutorials, videos and more will help you do more with R.
How-to guides
Computerworld's beginner's guide to R
Just starting out? You'll want to check out this beginner's guide that gives a brief R overview and then takes you step-by-step through tasks like data import, basic analysis and visualization:
Part 2: Getting your data into R
Part 3: Easy ways to do basic data analysis
Part 4: Painless data visualization
Part 5: Syntax quirks you'll want to know
4 data wrangling tasks for advanced beginners
After you've gotten your feet wet, learning a few additional skills will help you get a lot more out of R.
Add a column to an existing data frame
Getting summaries by data subgroups
Reshaping: wide to long and long to wide
Data manipulation tricks: Even better in R
From working with dates to reshaping data to if-then-else statements, see how to perform common data munging tasks. You can also download these R tips & tricks as a PDF (free Insider registration required).
How to turn CSV data into interactive visualizations with R and rCharts
Basic visualizations in R are static, but if you want a graph where you can mouse over (or tap) to get more info -- or click to turn items on and off -- you'll want to check out rCharts. This step-by-step slideshow walks you through getting your data into the proper format and the few simple lines of code needed to generate your interactive dataviz.
How to extract custom data from the Google Analytics API
Learn how to use R to bypass the Google Analytics Web interface, and automate creation of customized reports.
Additional resources
60+ R resources to improve your data skills
This curated list includes resources for every skill level, from statistics and R newbies to expert coders. It features a searchable, sortable chart so you can easily find resources of interest to you, and short write-ups with each link so you know what to expect before clicking through.
Analysis example
Super Bowl data point: All wins aren't equal
This post looks at "quality of opponent" for both 2014 Super Bowl teams by how each team's opponents finished the regular season. Includes R code.
News
R programming language gains on traditional statistics packages
The use of R is growing more quickly than that of SAS, SPSS and MATLAB, according to one researcher.
Big Data skills pay top dollar
See how high R skills rank in Dice.com's 2013-14 salary survey. (Hint: quite high.)
R support package unveiled in time for big-data boom
For under $795 a year, Revolution Analytics will answer all R-related questions.
Opinion
Is Python really supplanting R for data work?
There have been several claims circulating on social media and the Web that Python, being a general-purpose language, has become more compelling for data work than a domain-specific language such as R. Claims, but not data. This installment of the Data Avenger blog series takes a look.