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 1: IntroductionPart 2: Getting your data into RPart 3: Easy ways to do basic data analysisPart 4: Painless data visualizationPart 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 frameGetting summaries by data subgroupsGrouping by date rangeSorting your resultsReshaping: wide to long and long to wide 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.
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.
See how high R skills rank in Dice.com's 2013-14 salary survey. (Hint: quite high.)
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.
Read more about business intelligence/analytics in Computerworld's Business Intelligence/Analytics Topic Center.