Beginning R: The Statistical Programming Language

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• Introduction

• Chapter 1: Introducing R: What It Is and How to Get It

• Chapter 2: Starting Out: Becoming Familiar with R

• Chapter 3: Starting Out: Working with Objects

• Chapter 4: Data: Descriptive Statistics and Tabulation

• Chapter 5: Data: Distribution

• Chapter 6: Simple Hypothesis Testing

• Chapter 7: Introduction to Graphical Analysis

• Chapter 8: Formula Notation and Complex Statistic s

• Chapter 9: Manipulating Data and Extracting Components

• Chapter 10: Regression (Linear Modeling)

• Chapter 11: More about Graphs

• Chapter 12: Writing Your Own Scripts: Beginning to Program

• Summary

• Appendix: Answers to Exercise

• Index


Dr. Mark Gardener is an ecologist and lecturer as well as a teacher for the Open University (Environmental) science. He teaches biometrics and using R for conservation bodies, individuals and governmental agencies. His real world experience gives him good insight into what users require in learning R.



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