- Learn the basics: Visit Try R to learn how to write basic R code. These interactive lessons will get you writing real code in minutes, and they'll tell you immediately when you go wrong.
- Broaden your skills: Work through The Beginner's Guide to R by Computerworld Magazine. This 30 page guide will show you how to install R, load data, run analyses, make graphs, and more.
- Practice good habits: Read the R Style Guide for advice on how to write readable, maintainable code. This is how other R users will expect your code to look when you share it.
- Look up help: When you need to learn more about an R function or package, visit Rdocumentation.org, a searchable database of R documentation. You can search for R packages and functions, look at package download statistics, and leave and read comments about R functions.
- Ask questions: Seek help at StackOverflow, a searchable forum of questions and answers about computer programming. StackOverflow has answered (and archived) over 40,000 questions related to R programming. You can browse StackOverflow's archives and see which answers have been up voted by users, or you can ask your own R related questions and wait for a response.
- If you a have question that is more about statistical methodology there are also plenty of R users active on the the CrossValidated Q&A community.
- Keep tabs on the R community: Read R bloggers, a blog aggregator that reposts R related articles from across the web. A good place to find R tutorials, announcements, and other random happenings.
- Deepen your expertise: Once you've gained some familiarity with R, Advanced R provides an entertaining roadmap to some of the deeper subtleties of the language and how to work with it most effectively.
Posted by Shenali Wijesinghe
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