tailieunhanh - Beginning R

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 BEGINNING R CHAPTER 1 Introducing R What It Is and How to Get CHAPTER 2 Starting Out Becoming Familiar with CHAPTER 3 Starting Out Working With CHAPTER 4 Data Descriptive Statistics CHAPTER 5 Data CHAPTER 6 Simple Hypothesis CHAPTER 7 Introduction to Graphical CHAPTER 8 Formula Notation and Complex CHAPTER 9 Manipulating Data and Extracting CHAPTER 10 Regression Linear Modeling .327 CHAPTER 11 More About CHAPTER 12 Writing Your Own Scripts Beginning to APPENDIX Answers to .

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