R in 24 Hours, Sams Teach Yourself

About

Features

• Reflects the authors' 10+ years of applied R consulting throughout industry and academia
• Builds skills one step at a time, in 24 one-hour lessons that take reader from the absolute basics to advanced techniques
• Covers importing, manipulating, summarizing, modeling, and plotting data; formalizing analytical code; and building R packages using the latest best practices
• Shows how to use today's most popular and up-to-date analysis packages for R
• Teaches through practical instructions, realistic examples, hands-on workshops, Q-and-As, quizzes, exercises, tips, and more

Description

In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You’ll master the entire data analysis workflow, learning to build code that’s efficient, reproducible, and suitable for sharing with others.

This book’s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices.

Practical, hands-on examples show you how to apply what you learn.
Quizzes and exercises help you test your knowledge and stretch your skills.

Learn How To

• Install, configure, and explore the R environment, including RStudio
• Use basic R syntax, objects, and packages
• Create and manage data structures, including vectors, matrices, and arrays
• Understand lists and data frames
• Work with dates, times, and factors
• Use common R functions, and learn to write your own
• Import and export data and connect to databases and spreadsheets
• Use the popular tidyr, dplyr and data.table packages
• Write more efficient R code with profiling, vectorization, and initialization
• Plot data and extend your graphical capabilities with ggplot2 and Lattice graphics
• Develop common types of models
• Construct high-quality packages, both simple and complex
• Write R classes: S3, S4, and Reference Classes
• Use R to generate dynamic reports
• Build web applications with Shiny

Register your book at informit.com/register for convenient access to updates and corrections as they become available.

This book’s source code can be found at http://www.mango-solutions.com/wp/teach-yourself-r-in-24-hours-book/.

Extras

Companion Site

You can find all of the code in this book in an R package called Mango training available from CRAN.

Sample Content

Sample Pages

Download the sample pages (includes Chapter 4 and Index)

Table of Contents

Preface     xii
HOUR 1: The R Community     1
A Concise History of R     1
The R Community     3
R Development     7
Summary     8
Q&A     8
Workshop     9
Activities     9
HOUR 2: The R Environment     11
Integrated Development Environments     11
R Syntax     14
R Objects     16
Using R Packages     23
Internal Help     28
Summary     29
Q&A     30
Workshop     30
Activities     32
HOUR 3: Single-Mode Data Structures     33
The R Data Types     33
Vectors, Matrices, and Arrays     34
Vectors     35
Matrices     49
Arrays     58
Relationship Between Single-Mode Data Objects     60
Summary     62
Q&A     62
Workshop     63
Activities     64
HOUR 4: Multi-Mode Data Structures     67
Multi-Mode Structures     67
Lists     68
Data Frames     86
Exploring Your Data     93
Summary     98
Q&A     98
Workshop     100
Activities     101
HOUR 5: Dates, Times, and Factors     103
Working with Dates and Times     103
The lubridate Package     107
Working with Categorical Data     108
Summary     112
Q&A     112
Workshop     113
Activities     114
HOUR 6: Common R Utility Functions     115
Using R Functions     115
Functions for Numeric Data     117
Logical Data     121
Missing Data     122
Character Data     123
Summary     125
Q&A     126
Workshop     126
Activities     127
HOUR 7: Writing Functions: Part I     129
The Motivation for Functions     129
Creating a Simple Function     130
The If/Else Structure     136
Summary     146
Q&A     147
Workshop     148
Activities     149
HOUR 8: Writing Functions: Part II     151
Errors and Warnings     151
Checking Inputs     155
The Ellipsis     157
Checking Multivalue Inputs     162
Using Input Definition     164
Summary     168
Q&A     168
Workshop     170
Activities     171
HOUR 9: Loops and Summaries     173
Repetitive Tasks     173
The “apply” Family of Functions     181
The apply Function     183
The lapply Function     195
The sapply Function     204
The tapply Function     208
Summary   &

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