R for Dummies, 2nd Edition
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R for Dummies, 2nd Edition

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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.show more

Product details

  • Paperback | 432 pages
  • 185.42 x 233.68 x 22.86mm | 680.39g
  • John Wiley & Sons Inc
  • New York, United States
  • English
  • Revised
  • 2nd Revised edition
  • 1119055806
  • 9781119055808
  • 53,316

Back cover copy

Learn to: Use R for data analysis and processing Write functions and scripts for repeatable analysis Create high-quality charts and graphics Perform statistical analysis and build models All the R you need for statistical and data analysis, explained in plain English! Do you have to use R on the job, but you don't know much about programming? Relax! Here's a quick and painless guide to using R for all sorts of statistical and data analysis. Through real-world examples and step-by-step exercises you'll learn how to reshape and manipulate data, perform calculations, create graphical representations, and more. Get started with R -- acquire and install R, learn what makes R unique, compare code editors, and write your first R script Play well with others -- see how R interacts with Excel and other programs and why statisticians and data analysts favor it R ABCs -- make your code clear and explore functions and arguments A calculating side -- take advantage of R's calculating power, working with numbers, infinity, missing values, mathematical functions, and vectors Get textual -- use character vectors for text data, manipulate text, and work with strings and factors Data tells a tale -- manipulate and process data using subsets, merge data from different sources, sort it, and summarize using statistical techniques Go graphic -- present your data visually using plots and lattice graphics Open the book and find: User packages that extend R Tips for getting data into and out of R How R handles basic arithmetic What to do with regression models Advice on managing the logical flow Effective debugging strategies How to incorporate dates and times Additional graphics packages you can useshow more

About Andrie de Vries

Andrie de Vries is a leading R expert and Business Services Director for Revolution Analytics. With over 20 years of experience, he provides consulting and training services in the use of R. Joris Meys is a statistician, R programmer and R lecturer with the faculty of Bio-Engineering at the University of Ghent.show more

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 403show more

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17 ratings
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