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Mastering R has never been easier
Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd 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, 2nd 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, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.



Table of Contents

Introduction 1

Part I: Getting Started with R Programming 9

Chapter 1: Introducing R: The Big Picture 11

Chapter 2: Exploring R 19

Chapter 3: The Fundamentals of R 35

Part II: Getting Down to Work in R 49

Chapter 4: Getting Started with Arithmetic 51

Chapter 5: Getting Started with Reading and Writing 79

Chapter 6: Going on a Date with R 103

Chapter 7: Working in More Dimensions 113

Part III: Coding in R 149

Chapter 8: Putting the Fun in Functions 151

Chapter 9: Controlling the Logical Flow 171

Chapter 10: Debugging Your Code 193

Chapter 11: Getting Help 209

Part IV: Making the Data Talk 219

Chapter 12: Getting Data into and out of R 221

Chapter 13: Manipulating and Processing Data 239

Chapter 14: Summarizing Data 275

Chapter 15: Testing Differences and Relations 299

Part V: Working with Graphics 325

Chapter 16: Using Base Graphics 327

Chapter 17: Creating Faceted Graphics with Lattice 343

Chapter 18: Looking At ggplot 2 Graphics 361

Part VI: The Part of Tens 375

Chapter 19: Ten Things You Can Do in R That You Would've Done in Microsoft Excel 377

Chapter 20: Ten Tips on Working with Packages 387

Appendix A: Installing R and RStudio 395

Appendix B: The r fordummies Package 401

Index 403