Beginning R
eBook - PDF

Beginning R

The Statistical Programming Language

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Beginning R

The Statistical Programming Language

Book details
Table of contents
Citations

About This Book

Conquer the complexities of this open source statistical language

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.

  • R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex
  • This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used
  • Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs
  • Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression
  • Provides beginning programming instruction for those who want to write their own scripts

Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.

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Information

Publisher
Wrox
Year
2012
ISBN
9781118226162
Edition
1
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Introduction
  6. Chapter 1 Introducing R: What It Is and How to Get It
  7. Chapter 2 Starting Out: Becoming Familiar with R
  8. Chapter 3 Starting Out: Working With Objects
  9. Chapter 4 Data: Descriptive Statistics and Tabulation
  10. Chapter 5 Data: Distribution
  11. Chapter 6 Simple Hypothesis Testing
  12. Chapter 7 Introduction to Graphical Analysis
  13. Chapter 8 Formula Notation and Complex Statistics
  14. Chapter 9 Manipulating Data and Extracting Components
  15. Chapter 10 Regression (Linear Modeling)
  16. Chapter 11 More About Graphs
  17. Chapter 12 Writing Your Own Scripts: Beginning to Program
  18. Appendix: Answers to Exercises
  19. Index
  20. Advertisement Page
  21. EULA