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Learn to become an R master! With R becoming one of the leading software packages, there is an increased need from new users, as well as experienced scientists and engineers to understand how to utilize the extensive capabilities of R software in any setting. This easy-to-follow guide explains how you can use R for data analysis and data management. This book delves into many important aspects of field application to keep you up to speed with the other companies and organizations that use R as a powerful programming language for data analysis. Includes tips for the initial installation of R Teaches R fundamentals Showcases common R mistakes so you can catch and avoid them Explains dereferencing for pulling parts of data out with R Optimize the data sets that come installed with R An ideal introductory program, R For Dummies teaches you how to conduct powerful statistical data analysis and master R usage for future endeavors, regardless of your level of experience.
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.
Table of Contents
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