R for Non-Statisticians: Advanced Analytics and Graphics for Everyday Users, Rough Cuts
This is the Rough Cut version of the printed book.
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.
Table of Contents
2. Getting R
3. The R Environment
5. Reading Data
8. Control Statements
10. String Manipulation
11. Manipulating Data
15. Model Diagnostics a. Residuals
19. Building Your Own Package
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Rough Cuts are manuscripts that are developed but not yet published, available through Safari Books Online. Rough Cuts provide you access to the very latest information on a given topic and offer you the opportunity to interact with the author to influence the final publication.