R For Dummies, 2nd Edition

Mastering R has never been easier

Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2^nd Edition provides a quick and painless way to master all the R you’ll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You’ll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more.

R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2^nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide.

• Covers downloading, installing, and configuring R
• Includes tips for getting data in and out of R
• Offers advice on fitting regression models and ANOVA
• Provides helpful hints for working with graphics

R For Dummies, 2^nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.

Table of Contents

Part I: Getting Started with R Programming
Chapter 1: Introducing R: The Big Picture
Chapter 2: Exploring R
Chapter 3: The Fundamentals of R

Part II: Getting Down to Work in R
Chapter 4: Getting Started with Arithmetic
Chapter 5: Getting Started with Reading and Writing
Chapter 6: Going on a Date with R
Chapter 7: Working in More Dimensions

Part III: Coding in R
Chapter 8: Putting the Fun in Functions
Chapter 9: Controlling the Logical Flow
Chapter 10: Debugging Your Code
Chapter 11: Getting Help

Part IV: Making the Data Talk
Chapter 12: Getting Data into and out of R
Chapter 13: Manipulating and Processing Data
Chapter 14: Summarizing Data
Chapter 15: Testing Differences and Relations

Part V: Working with Graphics
Chapter 16: Using Base Graphics
Chapter 17: Creating Faceted Graphics with Lattice
Chapter 18: Looking At ggplot2 Graphics

Part VI: The Part of Tens
Chapter 19: Ten Things You Can Do in R That You Would’ve Done in Microsoft Excel
Chapter 20: Ten Tips on Working with Packages

Appendix A: Installing R and RStudio
Appendix B: The rfordummies Package