Advanced Object-Oriented Programming in R

Statistical Programming for Data Science, Analysis and Finance

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Éditeur :

Apress


Paru le : 2017-06-23



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Description

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.



Pages
110 pages
Collection
n.c
Parution
2017-06-23
Marque
Apress
EAN papier
9781484229187
EAN PDF
9781484229194

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
1116 Ko
Prix
26,61 €
EAN EPUB
9781484229194

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
430 Ko
Prix
26,61 €

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