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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 Everyone 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 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.
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Publisher: Addison-Wesley Professional
Page Count (est.): 464
Pub Date: 11/29/2013