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R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming | Beginning The Statistical Programming Language Dr. Mark Gardener www.it-ebooks.info BEGINNING R INTRODUCTION.xxi CHAPTER 1 Introducing R What It Is and How to Get It.1 CHAPTER 2 Starting Out Becoming Familiar with R.25 CHAPTER 3 Starting Out Working With Objects.65 CHAPTER 4 Data Descriptive Statistics andfTabulation.107 CHAPTER 5 Data Distribution.151 CHAPTER 6 Simple Hypothesis Testing.181 CHAPTER 7 Introduction to Graphical Analysis.215 CHAPTER 8 Formula Notation and Complex Statistics.263 CHAPTER 9 Manipulating Data and Extracting Components.295 CHAPTER 10 Regression Linear Modeling .327 CHAPTER 11 More About Graphs.363 CHAPTER 12 Writing Your Own Scripts Beginning to Program.415 APPENDIX Answers to Exercises.433 INDEX.461 .
