R in Action: Data Analysis and Graphics with R

Front Cover
Manning, 2015 - Computers - 579 pages

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
  • Introduction to R
  • Creating a dataset
  • Getting started with graphs
  • Basic data management
  • Advanced data management
  • PART 2 BASIC METHODS
  • Basic graphs
  • Basic statistics
  • PART 3 INTERMEDIATE METHODS
  • Regression
  • Analysis of variance
  • Power analysis
  • Intermediate graphs
  • Resampling statistics and bootstrapping
  • PART 4 ADVANCED METHODS
  • Generalized linear models
  • Principal components and factor analysis
  • Time series
  • Cluster analysis
  • Classification
  • Advanced methods for missing data
  • PART 5 EXPANDING YOUR SKILLS
  • Advanced graphics with ggplot2
  • Advanced programming
  • Creating a package
  • Creating dynamic reports
  • Advanced graphics with the lattice package available online only from manning.com/kabacoff2

What people are saying - Write a review

We haven't found any reviews in the usual places.

About the author (2015)

AUTHOR BIO

Robert I. Kabacoff, is a research methodologist, statistical consultant, and software developer with over 25 years of experience working with organizations in health care, financial services, manufacturing, behavioral sciences, government, and academia. As Vice President of Research for Management Research Group, he provides research and statistical programming for organizations in North America, Western Europe, Africa, and the Pacific Rim. For the past four years, he has managed an R tutorial website that receives approximately 11,000 visitors a day.

Bibliographic information