Using the free, open source R language, scientists, financial analysts, public policy professionals and programmers can build powerful statistical models capable of answering many of their most challenging questions. But, for non-statisticians, R can be difficult to learn - and most books on the subject assume far too much knowledge to help them. R for Non-Statisticians is the solution. Drawing on his extensive experience teaching new users through the NYC R User Group, professional statistician Jared Lander has written the perfect R tutorial for everyone who's new to statistical programming and modeling. Offering extensive hands-on practice and sample code, Lander covers all this and more: * Downloading, installing, and getting started with R * Navigating and mastering the R environment * Learning basic techniques, from control statements to data manipulation * Importing data from SAS, SPSS, Stata, web sites, or elsewhere * Performing essential statistical tests * Building, comparing, and diagnosing models * Developing your own R packages * Connecting with and learning from the global R user community By the time you're done, you won't just understand how to write R programs: you'll be ready to use R to tackle the statistical problems you care about most.