25 Recipes for Getting Started with R Book

Preface; Other Resources; Downloading Additional Packages; Software and Platform Notes; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Chapter 1: The Recipes; 1.1 Downloading and Installing R; 1.2 Getting Help on a Function; 1.3 Viewing the Supplied Documentation; 1.4 Searching the Web for Help; 1.5 Reading Tabular Datafiles; 1.6 Reading from CSV Files; 1.7 Creating a Vector; 1.8 Computing Basic Statistics; 1.9 Initializing a Data Frame from Column Data; 1.10 Selecting Data Frame Columns by Position; 1.11 Selecting Data Frame Columns by Name; 1.12 Forming a Confidence Interval for a Mean; 1.13 Forming a Confidence Interval for a Proportion; 1.14 Comparing the Means of Two Samples; 1.15 Testing a Correlation for Significance; 1.16 Creating a Scatter Plot; 1.17 Creating a Bar Chart; 1.18 Creating a Box Plot; 1.19 Creating a Histogram; 1.20 Performing Simple Linear Regression; 1.21 Performing Multiple Linear Regression; 1.22 Getting Regression Statistics; 1.23 Diagnosing a Linear Regression; 1.24 Predicting New Values; 1.25 Accessing the Functions in a Package;

Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.