Advanced Object-Oriented Programming in R Advanced Object-Oriented Programming in R

Advanced Object-Oriented Programming in R

Statistical Programming for Data Science, Analysis and Finance

    • USD 19.99
    • USD 19.99

Descripción editorial

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. 
You will: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 

GÉNERO
Informática e Internet
PUBLICADO
2017
23 de junio
IDIOMA
EN
Inglés
EXTENSIÓN
125
Páginas
EDITORIAL
Apress
VENDEDOR
Springer Nature B.V.
TAMAÑO
920.2
KB

Más libros de Thomas Mailund

Functional Programming in R 4 Functional Programming in R 4
2023
R 4 Data Science Quick Reference R 4 Data Science Quick Reference
2022
Beginning Data Science in R 4 Beginning Data Science in R 4
2022
Introduction to Computational Thinking Introduction to Computational Thinking
2021
Pointers in C Programming Pointers in C Programming
2021
String Algorithms in C String Algorithms in C
2020