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Index
Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
1: Introducing R and the R Commander
1.1 What Are R and the R Commander?
1.2 A Brief History of R and the R Commander
1.3 Chapter Synopses
1.4 What's Next?
1.5 Web Site
1.6 Typographical Conventions
2: Installing R and the R Commander
2.1 Acquiring and Installing R and the R Commander
2.2 Installing R and the R Commander under Microsoft Windows
2.2.1 Troubleshooting
2.3 Installing R and the R Commander under Mac OS X
2.3.1 Installing X11 (XQuartz) for Mac OS X
2.3.2 Installing the Rcmdr Package and Its Dependencies
2.3.3 Preventing R from Napping
2.3.4 Troubleshooting
2.4 Installing R and the R Commander on Linux and Unix Computers
2.4.1 Troubleshooting
2.5 Installing Optional Auxiliary Software: Pandoc and LATEX
3: A Quick Tour of the R Commander
3.1 Starting the R Commander
3.2 The R Commander Interface
3.3 Reading Data into the R Commander
3.4 Examining and Recoding Variables
3.5 Making a Contingency Table
3.6 Creating a Report
3.6.1 Creating a Report by Cutting and Pasting
3.6.2 Creating a Report as a Dynamic Document
3.6.2.1 Using Markdown: The Basics
3.6.2.2 Adding a Little LATEX Math to an R Markdown Document*
3.7 Editing Commands*
3.8 Terminating the R Commander Session
3.9 Customizing the R Commander*
3.9.1 Using the Commander Options Dialog
3.9.2 Setting Rcmdr Package Options
3.9.3 Managing Colors in the R Commander
3.9.4 Saving R Commander Options
4: Data Input and Data Management
4.1 Introduction to Data Management
4.2 Data Input
4.2.1 Entering Data into the R Commander Data Editor
4.2.2 Reading Data from Plain-Text Files
4.2.3 Importing Data from Spreadsheets and Other Sources
4.2.4 Accessing Data Sets in R Packages
4.3 Saving and Exporting Data from the R Commander
4.4 Modifying Variables
4.4.1 Recoding Variables
4.4.2 Computing New Variables
4.4.2.1 Complicated Expressions in Computing New Variables*
4.4.3 Other Operations on Variables
4.5 Manipulating Data Sets
4.5.1 Special Operations on Data Sets*
4.5.2 Subsetting Cases
4.5.3 Merging Data Sets*
5: Summarizing and Graphing Data
5.1 Simple Numerical Summaries
5.2 Contingency Tables
5.3 Graphing Distributions of Variables
5.3.1 Graphing Numerical Data
5.3.2 Graphing Categorical Data
5.4 Graphing Relationships
5.4.1 Simple Scatterplots
5.4.2 Enhanced Scatterplots*
5.4.3 Scatterplot Matrices
5.4.4 Point Identication in Scatterplots and Scatterplot Matrices
5.4.5 3D Scatterplots*
5.4.6 Plotting Means
6: Simple Statistical Tests
6.1 Tests on Means
6.1.1 Independent Samples Di erence-of-Means t Test
6.1.2 One-Way Analysis of Variance
6.1.3 Two-Way and Higher-Way Analysis of Variance
6.2 Tests on Proportions
6.3 Tests on Variances
6.4 Nonparametric Tests
6.5 Other Simple Tests*
7: Fitting Linear and Generalized Linear Models
7.1 Linear Regression Models
7.2 Linear Models with Factors*
7.2.1 Linear-Model Formulas
7.2.2 The Principle of Marginality
7.2.3 Examples Using the Canadian Occupational Prestige Data
7.2.4 Dummy Variables and Other Contrasts for Factors
7.3 Fitting Regression Splines and Polynomials*
7.3.1 Polynomial Terms
7.3.2 Regression Splines
7.4 Generalized Linear Models*
7.5 Other Regression Models*
7.6 Visualizing Linear and Generalized Linear Models*
7.6.1 Partial Residuals in E ect Plot
7.7 Con dence Intervals and Hypothesis Tests for Coe cients
7.7.1 Con dence Intervals
7.7.2 Analysis of Variance and Analysis of Deviance Tables*
7.7.3 Tests Comparing Models*
7.7.4 Testing Linear Hypotheses*
7.8 Regression Model Diagnostics*
7.9 Model Selection*
8: Probability Distributions and Simulation
8.1 Working with Probability Distributions
8.1.1 Continuous Distributions
8.1.2 Discrete Distributions
8.2 Plotting Probability Distributions
8.3 Simple Random Simulations
8.3.1 Setting the Seed of the R Pseudo-Random-Number Generator
8.3.2 A Simple Simulation Illustrating the Central Limit Theorem
9: Using R Commander Plug-in Packages
9.1 Acquiring and Loading Plug-Ins
9.2 Using the RcmdrPlugin.TeachingDemos Package
9.3 Survival Analysis with the RcmdrPlugin.survival Package*
9.3.1 Survival Analysis Examples Based on Criminal Recidivism Data
Appendix A: Guide to the R Commander Menus
References
Author Index
Subject Index
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