A First Course in Statistical Programming with R
eBook - PDF

A First Course in Statistical Programming with R

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

A First Course in Statistical Programming with R

About this book

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.

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Yes, you can access A First Course in Statistical Programming with R by W. John Braun,Duncan J. Murdoch in PDF and/or ePUB format, as well as other popular books in Computer Science & Natural Language Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Expanded contents
  7. Preface to the third edition
  8. Preface to the second edition
  9. Preface to the first edition
  10. 1 Getting started
  11. 2 Introduction to the R language
  12. 3 Programming statistical graphics
  13. 4 Programming with R
  14. 5 Complex programming in the tidyverse
  15. 6 Simulation
  16. 7 Computational linear algebra
  17. 8 Numerical optimization
  18. Appendix A Review of random variables and distributions
  19. Appendix B Base graphics details
  20. Index