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 worthwhile for company builders. concentrating on useful suggestions, the e-book deals a crash path in facts and covers stylish tools for facing messy and incomplete facts which are tough to research utilizing conventional equipment. you are going to additionally grasp R's large graphical features for exploring and providing information visually. And this improved moment variation comprises new chapters on time sequence research, cluster research, and class methodologies, together with determination timber, random forests, and aid vector machines.

Purchase of the print publication contains a loose book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

Business professionals and researchers thrive on facts, and R speaks the language of knowledge research. R is a strong programming language for statistical computing. in contrast to general-purpose instruments, R presents millions of modules for fixing on the subject of any data-crunching or presentation problem you are prone to face. R runs on all vital structures and is utilized by hundreds of thousands of significant firms and associations worldwide.

About the Book

R in motion, moment Edition teaches you the way to take advantage of the R language via featuring examples correct to clinical, technical, and enterprise builders. concentrating on sensible options, the booklet bargains a crash direction in facts, together with based tools for facing messy and incomplete info. you will additionally grasp R's wide graphical services for exploring and providing info visually. And this increased moment version comprises new chapters on forecasting, information mining, and dynamic record writing.

What's Inside

  • Complete R language tutorial
  • Using R to regulate, examine, and visualize data
  • Techniques for debugging courses and growing packages
  • OOP in R
  • Over a hundred and sixty graphs

About the Author

Dr. Rob Kabacoff is a professional researcher and instructor who focuses on info research. He additionally keeps the preferred Quick-R web 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 information management
  5. Advanced facts management
  6. PART 2 easy 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 information 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 snap shots with ggplot2
  24. Advanced programming
  25. Creating a package
  26. Creating dynamic reports
  27. Advanced pictures with the lattice package deal to be had on-line merely from manning.com/kabacoff2

Show sample text content

Download sample