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

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.
ASIN: 1484229185
VSKU: LFV.1484229185.A
Condition: Acceptable
Author/Artist:Mailund, Thomas
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Book is in acceptable condition. May have shelf wear, edge wear, and spine wear, but a very readable copy. May not come with supplemental materials if applicable. Does not include original dustcover jacket. Possibly Ex Library Copy