Hands-On Programming with R. Write Your Own Functions and Simulations - Helion

ebook

Autor: Garrett Grolemund
ISBN: 978-14-493-5910-2
stron: 250, Format: ebook
Data wydania: 2014-06-13
Księgarnia: Helion

Cena książki: 118,15 zł (poprzednio: 137,38 zł)
Oszczędzasz: 14% (-19,23 zł)

Osoby, które kupiły tę książkę, wybierały także »

Tagi: Analiza danych

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, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s 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. You’ll 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 games
Store, retrieve, and change data values in your computer’s memory
Write programs and simulations that outperform those written by typical R users
Use R programming tools such as if else statements, for loops, and S3 classes
Learn how to write lightning-fast vectorized R code
Take advantage of R’s package system and debugging tools
Practice and apply R programming concepts as you learn them

Osoby które kupowały "Hands-On Programming with R. Write Your Own Functions and Simulations", wybierały także:

NLP. Kurs video. Analiza danych tekstowych w j 149,00 zł, (59,60 zł -60%)
Web scraping. Kurs video. Zautomatyzowane pozyskiwanie danych z sieci 139,00 zł, (55,60 zł -60%)
Data Science w Pythonie. Kurs video. Algorytmy uczenia maszynowego 199,00 zł, (79,60 zł -60%)
Microsoft Excel. Kurs video. Wykresy i wizualizacja danych 199,00 zł, (89,55 zł -55%)
Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych 149,00 zł, (67,05 zł -55%)

Spis treści

Hands-On Programming with R. Write Your Own Functions and Simulations eBook -- spis treści

Hands-On Programming with R
Foreword
Preface
- Conventions Used in This Book
- Safari Books Online
- How to Contact Us
- Acknowledgments
I. Project 1: Weighted Dice
- 1. The Very Basics
  - The R User Interface
  - Objects
  - Functions
  - Sample with Replacement
  - Writing Your Own Functions
    - The Function Constructor
  - Arguments
  - Scripts
  - Summary
- 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
II. Project 2: Playing Cards
- 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
- 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
- 5. Modifying Values
  - Changing Values in Place
  - Logical Subsetting
    - Logical Tests
    - Boolean Operators
  - Missing Information
    - na.rm
    - is.na
  - Summary
- 6. Environments
  - Environments
  - Working with Environments
    - The Active Environment
  - Scoping Rules
  - Assignment
  - Evaluation
  - Closures
  - Summary
  - Project 2 Wrap-up
III. Project 3: Slot Machine
- 7. Programs
  - Strategy
    - Sequential Steps
    - Parallel Cases
  - if Statements
  - else Statements
  - Lookup Tables
  - Code Comments
  - Summary
- 8. S3
  - The S3 System
  - Attributes
  - Generic Functions
  - Methods
    - Method Dispatch
  - Classes
  - S3 and Debugging
  - S4 and R5
  - Summary
- 9. Loops
  - Expected Values
  - expand.grid
  - for Loops
  - while Loops
  - repeat Loops
  - Summary
- 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
- A. Installing R and RStudio
  - How to Download and Install R
    - Windows
    - Mac
    - Linux
  - Using R
  - RStudio
  - Opening R
- B. R Packages
  - Installing Packages
  - Loading Packages
- C. Updating R and Its Packages
  - R Packages
- D. Loading and Saving Data in R
  - Data Sets in Base R
  - Working Directory
  - Plain-text Files
    - read.table
      - sep
      - header
      - na.strings
      - skip and nrow
      - stringsAsFactors
    - 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
- E. Debugging R Code
  - traceback
  - browser
  - Break Points
  - debug
  - trace
  - recover
Index
Colophon
Copyright