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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An up-to-date and practical R programming guide dealing with object-oriented aspects, classes and moreIncludes a case study project as a take away for readersWritten by an expert in both programming and statistics &nb. N° de réf. du vendeur 150705986
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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 RWork with the R class hierarchiesBenefit from implementation reuseHandle operator overloadingApply 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. 110 pp. Englisch. N° de réf. du vendeur 9781484229187
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Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 RWork with the R class hierarchiesBenefit from implementation reuseHandle operator overloadingApply 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. N° de réf. du vendeur 9781484229187
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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
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Advanced Object-oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance
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Advanced Object-oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance
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