Advanced R 4 data programming and the cloud : using PostgreSQL, AWS, and Shiny /

Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color palett...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wiley, Matt
Otros Autores: Wiley, Joshua F.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, 2020.
Edición:Second edition.
Temas:
R (Computer program language)
Cloud computing.
Computer programming.
R (Langage de programmation)
Infonuagique.
Programmation (Informatique)
computer programming.
Cloud computing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Intro
  • Table of Contents
  • About the Authors
  • About the Technical Reviewer
  • Acknowledgments
  • Chapter 1: Programming Basics
  • 1.1 Software Choices and Reproducibility
  • 1.2 Reproducing Results
  • 1.3 Types of Objects
  • 1.4 Base Operators and Functions
  • 1.5 Mathematical Operators and Functions
  • 1.6 Summary
  • Chapter 2: Programming Utilities
  • 2.1 Installing and Using Packages
  • 2.2 Help and Documentation
  • 2.3 System and Files
  • 2.4 Input
  • 2.5 Output
  • 2.6 Summary
  • Chapter 3: Programming Automation
  • 3.1 Loops
  • 3.2 Flow Control
  • 3.3 apply Family of Functions
  • 3.4 Summary
  • Chapter 4: Writing Functions
  • 4.1 Components of a Function
  • 4.2 Scoping
  • 4.3 Functions for Functions
  • 4.4 Debugging
  • 4.5 Summary
  • Chapter 5: Writing Classes and Methods
  • 5.1 S3 System
  • S3 Classes
  • S3 Methods
  • 5.2 S4 System
  • S4 Classes
  • S4 Class Inheritance
  • S4 Methods
  • 5.3 Summary
  • Chapter 6: Writing Packages
  • 6.1 Before You Get Started
  • Version Control
  • 6.2 R Package Basics
  • Starting a Package by Using DevTools
  • Adding R Code
  • Tests
  • 6.3 Documentation Using roxygen2
  • Functions
  • Data
  • Classes
  • Methods
  • 6.4 Building, Installing, and Distributing an R Package
  • 6.5 R Package Website
  • 6.6 Summary
  • Chapter 7: Introduction to data.table
  • 7.1 Introduction to data.table
  • 7.2 Selecting and Subsetting Data
  • Using the First Formal
  • Using the Second Formal
  • Using the Second and Third Formals
  • 7.3 Variable Renaming and Ordering
  • 7.4 Creating Variables
  • 7.5 Merging and Reshaping Data
  • Merging Data
  • Reshaping Data
  • 7.6 Summary
  • Chapter 8: Advanced data.table
  • 8.1 Data Munging/Cleaning
  • Recoding Data
  • Recoding Numeric Values
  • 8.2 Creating New Variables
  • 8.3 Fuzzy Matching
  • 8.4 Summary
  • Chapter 9: Other Data Management Packages
  • 9.1 Sorting
  • 9.2 Selecting and Subsetting
  • 9.3 Variable Renaming and Ordering
  • 9.4 Computing on Data and Creating Variables
  • 9.5 Merging and Reshaping Data
  • 9.6 Summary
  • Chapter 10: Reading Big Data
  • 10.1 Installing PostgreSQL on Windows
  • 10.2 Interfacing R and PostgreSQL
  • 10.3 Database Philosophy
  • 10.4 Adding Data to PostgreSQL
  • 10.5 Creating Users with Specific Privilege
  • 10.6 Password Security
  • 10.7 SQL from R
  • 10.8 Summary
  • Chapter 11: Getting Your Cloud
  • 11.1 Disclaimers
  • 11.2 Starting Amazon Web Services
  • 11.3 Launching an EC2 Instance
  • 11.4 Accessing Your Instance's Command Line
  • 11.5 Uploading Files to Your Instance
  • 11.6 Summary
  • Chapter 12: Cloud Ubuntu for Windows Users
  • 12.1 Getting Started
  • 12.2 Common Commands
  • 12.3 Super User and Security
  • 12.4 Installing and Using R
  • Using R
  • 12.5 Installing and Using RStudio Server
  • 12.6 Installing Java
  • 12.7 Installing Shiny on Your Cloud
  • 12.8 PostgreSQL
  • 12.9 Summary
  • Chapter 13: Every Cloud Has a Shiny Lining
  • 13.1 The Basics of Shiny
  • 13.2 Shiny in Motion

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