R for Everyone

Statistical computation for non-statisticians like computer programmers, social scientists, biologists, physicists, and quants.

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 the non-statistician. "R for Non-Statisticians" is the solution. Drawing on his extensive experience teaching new users through the New York City 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 RNavigating and mastering the R environmentLearning basic techniques, from control statements to data manipulationImporting data from SAS, SPSS, Stata, web sites, or elsewherePerforming essential statistical testsBuilding, comparing, and diagnosing modelsDeveloping your own R packagesConnecting with and learning from the global R user communityBy 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.