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.

Mastering R has never been easierPicking up R can be tough, even for seasoned statisticians anddata analysts. R For Dummies, 2nd Editionprovides a quick and painless way to master all the R you'll everneed. Requiring no prior programming experience and packed withtons of practical examples, step-by-step exercises, and samplecode, this friendly and accessible guide shows you how to know yourway around lists, data frames, and other R data structures, whilelearning to interact with other programs, such as Microsoft Excel.You'll learn how to reshape and manipulate data, merge data setssplit and combine data, perform calculations on vectors and arraysand so much more.R is an open source statistical environment and programminglanguage that has become very popular in varied fields for themanagement and analysis of data. R provides a wide array ofstatistical and graphical techniques, and has become the standardamong statisticians for software development and data analysis.R For Dummies, 2nd Edition takes the intimidationout of working with R and arms you with the knowledge and know-howto master the programming language of choice among statisticiansand 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 graphicsR For Dummies, 2nd Edition is an idealintroduction to R for complete beginners, as well as an excellenttechnical reference for experienced R programmers.

Introduction 1Part I: Getting Started with R Programming 9Chapter 1: Introducing R: The Big Picture 11Chapter 2: Exploring R 19Chapter 3: The Fundamentals of R 35Part II: Getting Down to Work in R 49Chapter 4: Getting Started with Arithmetic 51Chapter 5: Getting Started with Reading and Writing 79Chapter 6: Going on a Date with R 103Chapter 7: Working in More Dimensions 113Part III: Coding in R 149Chapter 8: Putting the Fun in Functions 151Chapter 9: Controlling the Logical Flow 171Chapter 10: Debugging Your Code 193Chapter 11: Getting Help 209Part IV: Making the Data Talk 219Chapter 12: Getting Data into and out of R 221Chapter 13: Manipulating and Processing Data 239Chapter 14: Summarizing Data 275Chapter 15: Testing Differences and Relations 299Part V: Working with Graphics 325Chapter 16: Using Base Graphics 327Chapter 17: Creating Faceted Graphics with Lattice 343Chapter 18: Looking At ggplot 2 Graphics 361Part VI: The Part of Tens 375Chapter 19: Ten Things You Can Do in R That You Would've Done in Microsoft Excel 377Chapter 20: Ten Tips on Working with Packages 387Appendix A: Installing R and RStudio 395Appendix B: The r fordummies Package 401Index 403