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Detalles bibliogr�ficos

T�tulo: Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
Editor: SPRINGER
Fecha de publicaci�n: 2017
Idioma: Ingl�s
ISBN 10: 1484229185
ISBN 13: 9781484229187
Encuadernaci�n: paperback
Estado: Good

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Sinopsis

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.

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Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R and Metaprogramming in R with Apress as well as other books out there.

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