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

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-orie...

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Bibliographic Details
Main Authors: Mailund, Thomas
Corporate Authors: SpringerLink Online service
Published: Apress : Imprint: Apress,
Publisher Address: Berkeley, CA :
Publication Dates: 2017.
Literature type: eBook
Language: English
Subjects:
Computer science
Computer programming
Programming languages Electronic computers
Mathematical statistics
Programming Techniques
Programming Languages, Compilers, Interpreters
Probability and Statistics in Computer Science
Online Access: http://dx.doi.org/10.1007/978-1-4842-2919-4
Summary: 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 analyt
Carrier Form: 1 online resource (XV, 110 pages) : illustrations
ISBN: 9781484229194
Index Number: QA76
CLC: TP31
Contents: 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.

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