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.
Working professionals, researchers, or 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.
Chapter 1: Programming Basics
Chapter 2: Programming Utilities
Chapter 3: Programming Automation
Chapter 4: Writing Functions
Chapter 5: Writing Classes and Methods
Chapter 6: Writing a Package
Chapter 7: Introduction to Data Management Using data.table
Chapter 8: Data Munging with data.table
Chapter 9: Other Tools for Data Management
Chapter 10: Reading Big Data(bases)
Chapter 11: Getting a Cloud
Chapter 12: Cloud Ubuntu for Windows Users
Chapter 13: Every Cloud has a Shiny Lining
Chapter 14: Shiny Dashboard Sampler
Chapter 15: Dynamic Reports and the Cloud
