Contents
Chapter 1: Introducing R: What It Is and How to Get It
Downloading and Installing R from CRAN
Getting Help via the CRAN Website and the Internet
What Extra Packages Can Do for You
How to Get Extra Packages of R Commands
Running and Manipulating Packages
Chapter 2: Starting Out: Becoming Familiar with R
Storing the Results of Calculations
Reading and Getting Data into R
Using the combine Command for Making Data
Using the scan Command for Making Data
Viewing Previously Loaded Named-Objects
Converting Between Number and Text Data
Saving Data to Disk as Text Files
Chapter 3: Starting Out: Working With Objects
Manipulating Matrix and Data Frames
Viewing Objects within Objects
Looking Inside Complicated Data Objects
Opening Complicated Data Objects
Quick Looks at Complicated Data Objects
Re-ordering Data Frames and Matrix Objects
Forms of Data Objects: Testing and Converting
Testing to See What Type of Object You Have
Converting from One Object Form to Another
Chapter 4: Data: Descriptive Statistics and Tabulation
Summary Statistics for Vectors
Summary Statistics for Data Frames
Summary Statistics for Matrix Objects
Selecting Parts of a Table Object
Converting an Object into a Table
Looking at the Distribution of Data
The Shapiro-Wilk Test for Normality
Chapter 6: Simple Hypothesis Testing
Two-Sample t-Test with Unequal Variance
Two-Sample t-Test with Equal Variance
Formula Syntax and Subsetting Samples in the t-Test
The Wilcoxon U-Test (Mann-Whitney)
Formula Syntax and Subsetting Samples in the U-test
Significance Testing in Correlation Tests
Multiple Categories: Chi-Squared Tests
Single Category: Goodness of Fit Tests
Chapter 7: Introduction to Graphical Analysis
Adding Lines of Best-Fit to Scatter Plots
Pairs Plots (Multiple Correlation Plots)
Line Charts Using Numeric Data
Line Charts Using Categorical Data
Copy Graphics to Other Applications
Chapter 8: Formula Notation and Complex Statistics
Examples of Using Formula Syntax for Basic Tests
Extracting Means from aov() Models
Extracting Means and Summary Statistics
Chapter 9: Manipulating Data and Extracting Components
Creating Data for Complex Analysis
Creating and Setting Factor Data
Making Replicate Treatment Factors
Simple Column and Row Summaries
Chapter 10: Regression (Linear Modeling)
Similarity between lm() and aov()
Plotting Linear Models and Curve Fitting
Confidence Intervals on Fitted Lines
Adding Elements to Existing Plots
Adding Points to an Existing Graph
Adding Various Sorts of Lines to Graphs
Matrix Plots (Multiple Series on One Graph)
Splitting the Plot Window into Equal Sections
Splitting the Plot Window into Unequal Sections
Using Copy and Paste to Move a Graph
Using the Device Driver to Save a Graph to Disk
Chapter 12: Writing Your Own Scripts: Beginning to Program
Make Your Own Help File as Plain Text
Using Annotations with the # Character
Using Default Values in Functions
Simple Customized Functions with Multiple Lines
Displaying the Results of Customized Functions and Scripts
Displaying Messages as Part of Script Output