Richard Cotton

Learning R (eBook, PDF)

A Step-by-Step Function Guide to Data Analysis

• Format: PDF

Produktbeschreibung

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, youll 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 youve learned, and concludes with exercises, most of which involve writing R code.Write a simple R program, and discover what the language can doUse data types such as vectors, arrays, lists, data frames, and stringsExecute code conditionally or repeatedly with branches and loopsApply R add-on packages, and package your own work for othersLearn how to clean data you import from a variety of sourcesUnderstand data through visualization and summary statisticsUse statistical models to pass quantitative judgments about data and make predictionsLearn what to do when things go wrong while writing data analysis code

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 400
• Erscheinungstermin: 9. September 2013
• Englisch
• ISBN-13: 9781449357191
• Artikelnr.: 39925188

Autorenporträt

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.

Inhaltsangabe

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