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

1. Introduction

2. Getting R

3. The R Environment

4. Basics

5. Reading Data

6. Plotting

7. Functions

8. Control Statements

9. Loops

10. String Manipulation

11. Manipulating Data

12. Basics

13. Non-Parametric

14. Modeling

15. Model Diagnostics a. Residuals

16. Regularization

17. Clustering

18. Sweave

19. Building Your Own Package

20. Resources