Data Analysis and Graphics Using R
eBook - PDF

Data Analysis and Graphics Using R

An Example-Based Approach

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

Data Analysis and Graphics Using R

An Example-Based Approach

About this book

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Data Analysis and Graphics Using R by John Maindonald,W. John Braun 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. Series-title
  4. Title
  5. Copyright
  6. Dedication
  7. Contents
  8. Preface
  9. Content - how the chapters fit together
  10. 1 A brief introduction to R
  11. 2 Styles of data analysis
  12. 3 Statistical models
  13. 4 A review of inference concepts
  14. 5 Regression with a single predictor
  15. 6 Multiple linear regression
  16. 7 Exploiting the linear model framework
  17. 8 Generalized linear models and survival analysis
  18. 9 Time series models
  19. 10 Multi-level models and repeated measures
  20. 11 Tree-based classification and regression
  21. 12 Multivariate data exploration and discrimination
  22. 13 Regression on principal component or discriminant scores
  23. 14 The R system - additional topics
  24. 15 Graphs in R
  25. Epilogue
  26. References
  27. Index of R symbols and functions
  28. Index of terms
  29. Index of authors