R in Action: Data Analysis and Graphics with R

R in Action: Data Analysis and Graphics with R

Robert Kabacoff


Summary

R in motion, moment Edition offers either the R language and the examples that make it so invaluable for company builders. concentrating on useful suggestions, the publication bargains a crash direction in facts and covers stylish equipment for facing messy and incomplete information which are tricky to research utilizing conventional tools. you are going to additionally grasp R's vast graphical functions for exploring and proposing information visually. And this elevated moment version contains new chapters on time sequence research, cluster research, and class methodologies, together with choice timber, random forests, and aid vector machines.

Purchase of the print e-book features a loose book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

Business professionals and researchers thrive on information, and R speaks the language of knowledge research. R is a strong programming language for statistical computing. not like general-purpose instruments, R offers millions of modules for fixing almost about any data-crunching or presentation problem you are prone to face. R runs on all very important structures and is utilized by millions of significant firms and associations worldwide.

About the Book

R in motion, moment Edition teaches you ways to take advantage of the R language through offering examples suitable to medical, technical, and company builders. concentrating on useful recommendations, the publication bargains a crash direction in records, together with based equipment for facing messy and incomplete facts. you will additionally grasp R's broad graphical features for exploring and proposing information visually. And this elevated moment variation comprises new chapters on forecasting, information mining, and dynamic document writing.

What's Inside

  • Complete R language tutorial
  • Using R to control, research, and visualize data
  • Techniques for debugging courses and developing packages
  • OOP in R
  • Over a hundred and sixty graphs

About the Author

Dr. Rob Kabacoff is a professional researcher and instructor who makes a speciality of facts research. He additionally continues the preferred Quick-R site at statmethods.net.

Table of Contents

    PART 1 GETTING STARTED
  1. Introduction to R
  2. Creating a dataset
  3. Getting began with graphs
  4. Basic info management
  5. Advanced facts management
  6. PART 2 simple METHODS
  7. Basic graphs
  8. Basic statistics
  9. PART three INTERMEDIATE METHODS
  10. Regression
  11. Analysis of variance
  12. Power analysis
  13. Intermediate graphs
  14. Resampling facts and bootstrapping
  15. PART four complicated METHODS
  16. Generalized linear models
  17. Principal parts and issue analysis
  18. Time series
  19. Cluster analysis
  20. Classification
  21. Advanced equipment for lacking data
  22. PART five increasing YOUR SKILLS
  23. Advanced pics with ggplot2
  24. Advanced programming
  25. Creating a package
  26. Creating dynamic reports
  27. Advanced portraits with the lattice package deal to be had on-line purely from manning.com/kabacoff2

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