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

Mailund, Thomas

 
9781484229187: Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
Brossura
ISBN 10: 1484229185 ISBN 13: 9781484229187
Casa editrice: Apress, 2017

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.  

Dalla quarta di copertina

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 

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Apress
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
1484229185
ISBN 13 
9781484229187
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
128
Contatto del produttore
non disponibile
Persona responsabile
non disponibile

Altre edizioni note dello stesso titolo

9781484256749: ADVANCED OBJECT-ORIENTED PROGRAMMING IN R: STATISTICAL PROGRAMMING FOR DATA SCIENCE, ANALYSIS AND FINANCE

Edizione in evidenza

ISBN 10:  1484256743 ISBN 13:  9781484256749
Brossura