Beginning R: The Statistical Programming Language

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This book is about data analysis and the programming language called R. This is rapidly becoming the de-facto standard amongst professionals and is used in every conceivable discipline from science and medicine to business and engineering. This book delves into the language of R and makes it accessible using simple data examples to explore its power and versatility. In learning how to "speak R" you will unlock its potential and gain better insights into tackling even the most complex of data analysis tasks.

• 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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