Learning R
1st Edition
Published on 22. October 2013
Book
Paperback/Softback
396 pages
978-1-4493-5710-8 (ISBN)
Description
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.
The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code.
* Write a simple R program, and discover what the language can do
* Use data types such as vectors, arrays, lists, data frames, and strings
* Execute code conditionally or repeatedly with branches and loops
* Apply R add-on packages, and package your own work for others
* Learn how to clean data you import from a variety of sources
* Understand data through visualization and summary statistics
* Use statistical models to pass quantitative judgments about data and make predictions
* Learn what to do when things go wrong while writing data analysis code
More details
Other editions
Additional editions
E-Book
09/2013
O'Reilly
€27.49
Available for download
E-Book
09/2013
O'Reilly
€32.99
Available for download
Person
Richie is a data scientist with a background in chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages "assertive" for checking the state of your variables and "sig" to make sure your functions have a sensible API. He runs The Damned Liars statistics consultancy.
Content
Preface;
About This Book;
What Is in This Book;
Which Chapters Should I Read?;
Conventions Used in This Book;
Goals, Summaries, Quizzes, and Exercises;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Acknowledgments;
The R Language;
Chapter 1: Introduction;
1.1 Chapter Goals;
1.2 What Is R?;
1.3 Installing R;
1.4 Choosing an IDE;
1.5 Your First Program;
1.6 How to Get Help in R;
1.7 Installing Extra Related Software;
1.8 Summary;
1.9 Test Your Knowledge: Quiz;
1.10 Test Your Knowledge: Exercises;
Chapter 2: A Scientific Calculator;
2.1 Chapter Goals;
2.2 Mathematical Operations and Vectors;
2.3 Assigning Variables;
2.4 Special Numbers;
2.5 Logical Vectors;
2.6 Summary;
2.7 Test Your Knowledge: Quiz;
2.8 Test Your Knowledge: Exercises;
Chapter 3: Inspecting Variables and Your Workspace;
3.1 Chapter Goals;
3.2 Classes;
3.3 Different Types of Numbers;
3.4 Other Common Classes;
3.5 Checking and Changing Classes;
3.6 Examining Variables;
3.7 The Workspace;
3.8 Summary;
3.9 Test Your Knowledge: Quiz;
3.10 Test Your Knowledge: Exercises;
Chapter 4: Vectors, Matrices, and Arrays;
4.1 Chapter Goals;
4.2 Vectors;
4.3 Matrices and Arrays;
4.4 Summary;
4.5 Test Your Knowledge: Quiz;
4.6 Test Your Knowledge: Exercises;
Chapter 5: Lists and Data Frames;
5.1 Chapter Goals;
5.2 Lists;
5.3 NULL;
5.4 Pairlists;
5.5 Data Frames;
5.6 Summary;
5.7 Test Your Knowledge: Quiz;
5.8 Test Your Knowledge: Exercises;
Chapter 6: Environments and Functions;
6.1 Chapter Goals;
6.2 Environments;
6.3 Functions;
6.4 Summary;
6.5 Test Your Knowledge: Quiz;
6.6 Test Your Knowledge: Exercises;
Chapter 7: Strings and Factors;
7.1 Chapter Goals;
7.2 Strings;
7.3 Factors;
7.4 Summary;
7.5 Test Your Knowledge: Quiz;
7.6 Test Your Knowledge: Exercises;
Chapter 8: Flow Control and Loops;
8.1 Chapter Goals;
8.2 Flow Control;
8.3 Loops;
8.4 Summary;
8.5 Test Your Knowledge: Quiz;
8.6 Test Your Knowledge: Exercises;
Chapter 9: Advanced Looping;
9.1 Chapter Goals;
9.2 Replication;
9.3 Looping Over Lists;
9.4 Looping Over Arrays;
9.5 Multiple-Input Apply;
9.6 Split-Apply-Combine;
9.7 The plyr Package;
9.8 Summary;
9.9 Test Your Knowledge: Quiz;
9.10 Test Your Knowledge: Exercises;
Chapter 10: Packages;
10.1 Chapter Goals;
10.2 Loading Packages;
10.3 Installing Packages;
10.4 Maintaining Packages;
10.5 Summary;
10.6 Test Your Knowledge: Quiz;
10.7 Test Your Knowledge: Exercises;
Chapter 11: Dates and Times;
11.1 Chapter Goals;
11.2 Date and Time Classes;
11.3 Conversion to and from Strings;
11.4 Time Zones;
11.5 Arithmetic with Dates and Times;
11.6 Lubridate;
11.7 Summary;
11.8 Test Your Knowledge: Quiz;
11.9 Test Your Knowledge: Exercises;
The Data Analysis Workflow;
Chapter 12: Getting Data;
12.1 Chapter Goals;
12.2 Built-in Datasets;
12.3 Reading Text Files;
12.4 Reading Binary Files;
12.5 Web Data;
12.6 Accessing Databases;
12.7 Summary;
12.8 Test Your Knowledge: Quiz;
12.9 Test Your Knowledge: Exercises;
Chapter 13: Cleaning and Transforming;
13.1 Chapter Goals;
13.2 Cleaning Strings;
13.3 Manipulating Data Frames;
13.4 Sorting;
13.5 Functional Programming;
13.6 Summary;
13.7 Test Your Knowledge: Quiz;
13.8 Test Your Knowledge: Exercises;
Chapter 14: Exploring and Visualizing;
14.1 Chapter Goals;
14.2 Summary Statistics;
14.3 The Three Plotting Systems;
14.4 Scatterplots;
14.5 Line Plots;
14.6 Histograms;
14.7 Box Plots;
14.8 Bar Charts;
14.9 Other Plotting Packages and Systems;
14.10 Summary;
14.11 Test Your Knowledge: Quiz;
14.12 Test Your Knowledge: Exercises;
Chapter 15: Distributions and Modeling;
15.1 Chapter Goals;
15.2 Random Numbers;
15.3 Distributions;
15.4 Formulae;
15.5 A First Model: Linear Regressions;
15.6 Other Model Types;
15.7 Summary;
15.8 Test Your Knowledge: Quiz;
15.9 Test Your Knowledge: Exercises;
Chapter 16: Programming;
16.1 Chapter Goals;
16.2 Messages, Warnings, and Errors;
16.3 Error Handling;
16.4 Debugging;
16.5 Testing;
16.6 Magic;
16.7 Object-Oriented Programming;
16.8 Summary;
16.9 Test Your Knowledge: Quiz;
16.10 Test Your Knowledge: Exercises;
Chapter 17: Making Packages;
17.1 Chapter Goals;
17.2 Why Create Packages?;
17.3 Prerequisites;
17.4 The Package Directory Structure;
17.5 Your First Package;
17.6 Documenting Packages;
17.7 Checking and Building Packages;
17.8 Maintaining Packages;
17.9 Summary;
17.10 Test Your Knowledge: Quiz;
17.11 Test Your Knowledge: Exercises;
Appendixes;
Properties of Variables;
Other Things to Do in R;
Answers to Quizzes;
Solutions to Exercises;
Bibliography;
Index;
Colophon;