R For Dummies

Overview

Still trying to wrap your head around R?

With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and...

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R For Dummies

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Overview

Still trying to wrap your head around R?

With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.

  • Includes tips for the initial installation of R
  • Demonstrates how to easily perform calculations on vectors, arrays, and lists of data
  • Shows how to effectively visualize data using R's powerful graphics packages
  • Gives pointers on how to find, install, and use add-on packages created by the R community
  • Provides tips on getting additional help from R mailing lists and websites

Whether you're just starting out with statistical analysis or are a procedural programming pro, R For Dummies is the book you need to get the most out of R.

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Product Details

  • ISBN-13: 9781119962847
  • Publisher: Wiley
  • Publication date: 7/3/2012
  • Series: For Dummies Series
  • Edition number: 1
  • Pages: 406
  • Sales rank: 105,296
  • Product dimensions: 7.40 (w) x 9.20 (h) x 1.00 (d)

Meet the Author

Andrie de Vries is a market research consultant specializing in surveys, statistical analysis, and strategy.

Joris Meys is a statistician and R programmer with the faculty of bio-engineering at the University of Ghent.

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Table of Contents

Introduction 1

Part I: R You Ready? 7

Chapter 1: Introducing R: The Big Picture 9

Chapter 2: Exploring R 15

Chapter 3: The Fundamentals of R 31

Part II: Getting Down to Work in R 43

Chapter 4: Getting Started with Arithmetic 45

Chapter 5: Getting Started with Reading and Writing 71

Chapter 6: Going on a Date with R 93

Chapter 7: Working in More Dimensions 103

Part III: Coding in R 137

Chapter 8: Putting the Fun in Functions 139

Chapter 9: Controlling the Logical Flow 159

Chapter 10: Debugging Your Code 179

Chapter 11: Getting Help 193

Part IV: Making the Data Talk 203

Chapter 12: Getting Data into and out of R 205

Chapter 13: Manipulating and Processing Data 219

Chapter 14: Summarizing Data 253

Chapter 15: Testing Differences and Relations 275

Part V: Working with Graphics 299

Chapter 16: Using Base Graphics 301

Chapter 17: Creating Faceted Graphics with Lattice 317

Chapter 18: Looking At ggplot2 Graphics 333

Part VI: The Part of Tens 347

Chapter 19: Ten Things You Can Do in R That You Would've Done in Microsoft Excel 349

Chapter 20: Ten Tips on Working with Packages 359

Appendix: Installing R and RStudio 365

Index 371

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