Learn how to write object-oriented programs in R and how to construct classes and class
hierarchies in the three object-oriented systems available in R. This book gives an
introduction to object-oriented programming in the R programming language and shows you how to
use and apply R in an object-oriented manner. You will then be able to use this powerful
programming style in your own statistical programming projects to write flexible and extendable
software. After reading Advanced Object-Oriented Programming in R you'll come away with a
practical project that you can reuse in your own analytics coding endeavors. You'll then be
able to visualize your data as objects that have state and then manipulate those objects with
polymorphic or generic methods. Your projects will benefit from the high degree of flexibility
provided by polymorphism where the choice of concrete method to execute depends on the type of
data being manipulated. What You'll Learn Define and use classes and generic functions using R
Work with the R class hierarchies Benefit from implementation reuse Handle operator overloading
Apply the S4 and R6 classes Who This Book Is For Experienced programmers and for those with at
least some prior experience with R programming language.
