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.

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