دانلود کتاب Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny

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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 13.3 Uploading a User File into Shiny 13.4 Hosting Shiny in the Cloud 13.5 Summary Chapter 14: Shiny Dashboard Sampler 14.1 A Dashboard’s Bones Dashboard Header Dashboard Sidebar Dashboard Body 14.2 Dashboard in the Cloud 14.3 Complete Sampler Code 14.4 Summary Chapter 15: Dynamic Reports 15.1 Needed Software Local Machine LaTeX Product Cloud Instance 15.2 Dynamic Documents 15.3 Dynamic Documents and Shiny server.R ui.R report.Rmd 15.4 Uploading to the Cloud 15.5 Summary Bibliography Index