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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