Hands-On Programming with R
Write Your Own Functions and Simulations
1st Edition
Published on 13. June 2014
250 pages
978-1-4493-5911-9 (ISBN)
Description
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, youll learn how to load data, assemble and disassemble data objects, navigate Rs environment system, write your own functions, and use all of Rs programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. Youll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computers memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of Rs package system and debugging toolsPractice and apply R programming concepts as you learn them
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Content
- Cover
- Copyright
- Table of Contents
- Foreword
- Preface
- Conventions Used in This Book
- O'Reilly Online Learning
- How to Contact Us
- Acknowledgments
- Part I. Project 1: Weighted Dice
- Chapter 1. The Very Basics
- The R User Interface
- Objects
- Functions
- Sample with Replacement
- Writing Your Own Functions
- The Function Constructor
- Arguments
- Scripts
- Summary
- Chapter 2. Packages and Help Pages
- Packages
- install.packages
- library
- Getting Help with Help Pages
- Parts of a Help Page
- Getting More Help
- Summary
- Project 1 Wrap-up
- Part II. Project 2: Playing Cards
- Chapter 3. R Objects
- Atomic Vectors
- Doubles
- Integers
- Characters
- Logicals
- Complex and Raw
- Attributes
- Names
- Dim
- Matrices
- Arrays
- Class
- Dates and Times
- Factors
- Coercion
- Lists
- Data Frames
- Loading Data
- Saving Data
- Summary
- Chapter 4. R Notation
- Selecting Values
- Positive Integers
- Negative Integers
- Zero
- Blank Spaces
- Logical Values
- Names
- Deal a Card
- Shuffle the Deck
- Dollar Signs and Double Brackets
- Summary
- Chapter 5. Modifying Values
- Changing Values in Place
- Logical Subsetting
- Logical Tests
- Boolean Operators
- Missing Information
- na.rm
- is.na
- Summary
- Chapter 6. Environments
- Environments
- Working with Environments
- The Active Environment
- Scoping Rules
- Assignment
- Evaluation
- Closures
- Summary
- Project 2 Wrap-up
- Part III. Project 3: Slot Machine
- Chapter 7. Programs
- Strategy
- Sequential Steps
- Parallel Cases
- if Statements
- else Statements
- Lookup Tables
- Code Comments
- Summary
- Chapter 8. S3
- The S3 System
- Attributes
- Generic Functions
- Methods
- Method Dispatch
- Classes
- S3 and Debugging
- S4 and R5
- Summary
- Chapter 9. Loops
- Expected Values
- expand.grid
- for Loops
- while Loops
- repeat Loops
- Summary
- Chapter 10. Speed
- Vectorized Code
- How to Write Vectorized Code
- How to Write Fast for Loops in R
- Vectorized Code in Practice
- Loops Versus Vectorized Code
- Summary
- Project 3 Wrap-up
- Appendix A. Installing R and RStudio
- How to Download and Install R
- Windows
- Mac
- Linux
- Using R
- RStudio
- Opening R
- Appendix B. R Packages
- Installing Packages
- Loading Packages
- Appendix C. Updating R and Its Packages
- R Packages
- Appendix D. Loading and Saving Data in R
- Data Sets in Base R
- Working Directory
- Plain-text Files
- read.table
- The read Family
- read.fwf
- HTML Links
- Saving Plain-Text Files
- Compressing Files
- R Files
- Saving R Files
- Excel Spreadsheets
- Export from Excel
- Copy and Paste
- XLConnect
- Reading Spreadsheets
- Writing Spreadsheets
- Loading Files from Other Programs
- Connecting to Databases
- Appendix E. Debugging R Code
- traceback
- browser
- Break Points
- debug
- trace
- recover
- Index
- About the Author
- Colophon
