
Advanced Object-Oriented Programming in R
Statistical Programming for Data Science, Analysis and Finance
Thomas Mailund(Author)
APress
Published on 24. June 2017
Book
Paperback/Softback
XV, 110 pages
978-1-4842-2918-7 (ISBN)
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 LearnDefine and use classes and generic functions using R Work with the R class hierarchiesBenefit from implementation reuseHandle operator overloadingApply the S4 and R6 classes Who This Book Is ForExperienced programmers and for those with at least some prior experience with R programming language.
More details
Edition
1st ed.
Language
English
Place of publication
Berkeley
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
10 s/w Abbildungen
XV, 110 p. 10 illus.
Dimensions
Height: 239 mm
Width: 156 mm
Thickness: 12 mm
Weight
212 gr
ISBN-13
978-1-4842-2918-7 (9781484229187)
DOI
10.1007/978-1-4842-2919-4
Schweitzer Classification
Other editions
Additional editions

Thomas Mailund
Advanced Object-Oriented Programming in R
Statistical Programming for Data Science, Analysis and Finance
E-Book
06/2017
APress
€26.99
Available for download
Person
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.
Content
1. Classes and Generic Functions.- 2. Class Hierarchies.- 3. Implementation Reuse.- 4. Statistical Models.- 5. Operator Overloading.- 6. S4 Classes.- 7. R6 Classes.- 8. Conclusions.