| Description |
1 online resource |
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text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
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 palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects now formally inherit from the array class, eliminating inconsistencies. Advanced R 4 Data Programming and the Cloud is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks. This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. What You Will Learn Write and document R functions using R 4 Make an R package and share it via GitHub or privately Add tests to R code to ensure it works as intended Use R to talk directly to databases and do complex data management Run R in the Amazon cloud Deploy a Shiny digital dashboard Generate presentation-ready tables and reports using R Who This Book Is For Working professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level. |
| Subject |
R (Computer program language)
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Cloud computing.
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Computer programming.
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R (Langage de programmation) |
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Infonuagique. |
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Programmation (Informatique) |
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computer programming. |
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Cloud computing |
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R (Computer program language) |
| Added Author |
Wiley, Joshua F.
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| Other Form: |
Print version: Wiley, Matt. Advanced R 4 data programming and the cloud. Second edition. [United States] : Apress, 2020 1484259726 9781484259726 (OCoLC)1147303083 |
| ISBN |
9781484259733 (electronic bk.) |
|
1484259734 (electronic bk.) |
| Standard No. |
10.1007/978-1-4842-5973-3 doi |
|
9781484259726 |
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9781484259733 |
|
10.1007/978-1-4842-5 |
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