R in Action: Data Analysis and Graphics with R

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Manufacturer Description

Summary

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide.

About the Book

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

What's Inside

  • Complete R language tutorial
  • Using R to manage, analyze, and visualize data
  • Techniques for debugging programs and creating packages
  • OOP in R
  • Over 160 graphs

About the Author

Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net.

Table of Contents

    PART 1 GETTING STARTED
  1. Introduction to R
  2. Creating a dataset
  3. Getting started with graphs
  4. Basic data management
  5. Advanced data management
  6. PART 2 BASIC METHODS
  7. Basic graphs
  8. Basic statistics
  9. PART 3 INTERMEDIATE METHODS
  10. Regression
  11. Analysis of variance
  12. Power analysis
  13. Intermediate graphs
  14. Resampling statistics and bootstrapping
  15. PART 4 ADVANCED METHODS
  16. Generalized linear models
  17. Principal components and factor analysis
  18. Time series
  19. Cluster analysis
  20. Classification
  21. Advanced methods for missing data
  22. PART 5 EXPANDING YOUR SKILLS
  23. Advanced graphics with ggplot2
  24. Advanced programming
  25. Creating a package
  26. Creating dynamic reports
  27. Advanced graphics with the lattice package available online only from manning.com/kabacoff2

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