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

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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Yes, you can access Beginning R by Mark Gardener in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

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 andĀ 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