R in 24 Hours, Sams Teach Yourself

2063 Pages·2015·34.63 MB·English

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Sams Teach Yourself R in 24 Hours
Andy Nicholls
Richard Pugh
Aimee Gott
800 East 96th Street, Indianapolis, Indiana, 46240 USA
Sams Teach Yourself R in 24 Hours
Copyright © 2016 by Pearson Education, Inc.
All rights reserved. Printed in the United States of America. This publication is protected
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ISBN-13: 978-0-672-33848-9
ISBN-10: 0-672-33848-3
Library of Congress Control Number: 2015913320
First Printing December 2015
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Contents at a Glance
Preface
HOUR 1 The R Community
2 The R Environment
3 Single-Mode Data Structures
4 Multi-Mode Data Structures
5 Dates, Times and Factors
6 Common R Utility Functions
7 Writing Functions: Part I
8 Writing Functions: Part II
9 Loops and Summaries
10 Importing and Exporting
11 Data Manipulation and Transformation
12 Efficient Data Handling in R
13 Graphics
14 The ggplot2 Package for Graphics
15 Lattice Graphics
16 Introduction to R Models and Object Orientation
17 Common R Models
18 Code Efficiency
19 Package Building
20 Advanced Package Building
21 Writing R Classes
22 Formal Class Systems
23 Dynamic Reporting
24 Building Web Applications with Shiny
APPENDIX Installation
Index
Table of Contents
Preface
HOUR 1: The R Community
A Concise History of R
The R Community
R Development
Summary
Q&A
Workshop
Activities
HOUR 2: The R Environment
Integrated Development Environments
R Syntax
R Objects
Using R Packages
Internal Help
Summary
Q&A
Workshop
Activities
HOUR 3: Single-Mode Data Structures
The R Data Types
Vectors, Matrices, and Arrays
Vectors
Matrices
Arrays
Relationship Between Single-Mode Data Objects
Summary
Q&A
Workshop
Activities
HOUR 4: Multi-Mode Data Structures
Multi-Mode Structures
Lists
Data Frames
Exploring Your Data
Summary
Q&A
Workshop
Activities
HOUR 5: Dates, Times, and Factors
Working with Dates and Times
The lubridate Package
Working with Categorical Data
Summary
Q&A
Workshop
Activities
HOUR 6: Common R Utility Functions
Using R Functions
Functions for Numeric Data
Logical Data
Missing Data
Character Data
Summary
Q&A
Workshop
Activities
HOUR 7: Writing Functions: Part I
The Motivation for Functions
Creating a Simple Function
The If/Else Structure
Summary
Q&A
Workshop
Activities
HOUR 8: Writing Functions: Part II
Errors and Warnings
Checking Inputs
The Ellipsis
Checking Multivalue Inputs
Using Input Definition
Summary
Q&A
Workshop
Activities
HOUR 9: Loops and Summaries
Repetitive Tasks
The “apply” Family of Functions
The apply Function
The lapply Function
The sapply Function
The tapply Function
Summary
Q&A
Workshop
Activities
HOUR 10: Importing and Exporting
Working with Text Files
Relational Databases
Working with Microsoft Excel
Summary
Q&A
Workshop
Activities
HOUR 11: Data Manipulation and Transformation
Sorting
Appending
Merging
Duplicate Values
Restructuring
Data Aggregation
Summary
Q&A
Workshop
Activities
HOUR 12: Efficient Data Handling in R
dplyr: A New Way of Handling Data
Efficient Data Handling with data.table
Summary
Q&A
Workshop
Activities
HOUR 13: Graphics
Graphics Devices and Colors
High-Level Graphics Functions
Low-Level Graphics Functions
Graphical Parameters
Controlling the Layout
Summary
Q&A
Workshop
Activities
HOUR 14: The ggplot2 Package for Graphics
The Philosophy of ggplot2
Quick Plots and Basic Control
Changing Plot Types