Advanced Object-Oriented Programming in R - Statistical Programming for Data Science, Analysis and Finance (Paperback, 1st ed.)

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.

General

Imprint:	Apress
Country of origin:	United States
Release date:	June 2017
First published:	2017
Authors:	Thomas Mailund
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	110
Edition:	1st ed.
ISBN-13:	978-1-4842-2918-7
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer programming > Programming languages > General
LSN:	1-4842-2918-5
Barcode:	9781484229187

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