Advanced R 4 Data Programming and the Cloud

This book is a practical guide for people who already use R for data analysis and want to work more efficiently with it. It covers automating the running of code, producing reports to share results, and writing your own functions and packages. It also shows how to manipulate data in modern R structures and how to connect R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards built with Shiny.

This revised edition reflects key features of R 4. These include a new color palette for charts, an improved reference counting system, and a change to matrix and array types so that matrix objects now formally inherit from the array class, which removes earlier inconsistencies.

The author is clear about what the book is not. It does not set out to teach advanced R programming, and it does not explain the theory behind statistical procedures. Its aim is to take readers beyond simply using R and show them how to program it to automate tasks. Each chapter ends with a detailed bibliography pointing to research articles and other resources on the relevant concepts and theory.

It is written for working professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression, and who want to take their R coding to the next level.