Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

by Mailund

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
Who This Book Is For
Experienced programmers and for those with at least some prior experience with R programming language.

Paperback

Published January 1, 2019

Reviews

[TJ · Rating 4 out of 5]

Great book and rare in its class. For those who are starting to meet the boundaries of the current package infrastructure in R, this is great for continuing to bring R to new and better production applications.