R Object-Oriented Programming

R is best suited to produce data and visual analytics through customizable scripts and commands, instead of typical statistical tools that provide tick boxes and drop-down menus for users. The book is divided into three parts to help you perform these steps. It starts by providing you with an overview of the basic data types, data structures, and tools available in R that are used to solve common tasks. It then moves on to offer insights and examples on object-oriented programming with R; this includes an introduction to the basic control structures available in R with examples. It also includes details on how to implement S3 and S4 classes. Finally, the book provides three detailed examples that demonstrate how to bring all of these ideas together.

A practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R

About This Book

Learn and understand the programming techniques necessary to solve specific problems and speed up development processes for statistical models and applications
Explore the fundamentals of building objects and how they program individual aspects of larger data designs
Step-by-step guide to understand how OOP can be applied to application and data models within R
Who This Book Is For

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.