Advanced R
Data Programming and the Cloud
Authors: Matt Wiley, Joshua F. Wiley
Demonstrates how to set up and run R in the cloud
Shows how to leverage applied R programming to make analyses more efficient
Shows how to generate dynamic reports and tables showcasing results of analyses
Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R 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 to programming in R to automate tasks.
This book will show you how to manipulate data in modern R structures and includes connecting R to data bases such as SQLite, PostgeSQL, and MongoDB. The book closes with a hands-on section to get R running in the cloud. 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
• Make an R package and share it via GitHub or privately
• Add tests to R code to insure it works as intended
• Build packages automatically with GitHub
• Use R to talk directly to databases and do complex data management
• Run R in the Amazon cloud
• Generate presentation-ready tables and reports using R
Table of contents (15 chapters)
Front Matter
Pages i-xix
Programming Basics
Pages 1-15
Programming Utilities
Pages 17-27
Programming Automation
Pages 29-42
Writing Functions
Pages 43-60
Writing Classes and Methods
Pages 61-81
Writing a Package
Pages 83-113
Introduction to Data Management Using data.table
Pages 115-140
Data Munging with data.table
Pages 141-157
Other Tools for Data Management
Pages 159-179
Reading Big Data(bases)
Pages 181-197
Getting a Cloud
Pages 199-209
Cloud Ubuntu for Windows Users
Pages 211-224
Every Cloud has a Shiny Lining
Pages 225-238
Shiny Dashboard Sampler
Pages 239-251
Dynamic Reports and the Cloud
Pages 253-269
Back Matter
Pages 271-279
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