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Advanced Object-Oriented Programming in R - Thomas Mailund
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Advanced Object-Oriented Programming in R - novo libro

2017, ISBN: 1484229185

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… mais…

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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund | Taschenbuch | xv | Englisch | 2017 | APRESS | EAN 9781484229187 - Mailund, Thomas
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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund | Taschenbuch | xv | Englisch | 2017 | APRESS | EAN 9781484229187 - Livro de bolso

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Advanced Object-Oriented Programming in R | Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund | Taschenbuch | xv | Englisch | 2017 | Apress | EAN 9781484229187 - Mailund, Thomas
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Advanced Object-Oriented Programming in R | Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund | Taschenbuch | xv | Englisch | 2017 | Apress | EAN 9781484229187 - Livro de bolso

2017

ISBN: 9781484229187

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Advanced Object-Oriented Programming in R
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Advanced Object-Oriented Programming in R - novo libro

ISBN: 9781484229187

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… mais…

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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science Analysis and Finance - Thomas Mailund
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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science Analysis and Finance - Livro de bolso

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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science Analysis and Finance
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9781484229187

Dados detalhados do livro - Advanced Object-Oriented Programming in R: Statistical Programming for Data Science Analysis and Finance


EAN (ISBN-13): 9781484229187
ISBN (ISBN-10): 1484229185
Livro de capa dura
Livro de bolso
Ano de publicação: 8
Editor/Editora: APRESS

Livro na base de dados desde 2017-07-14T08:37:07+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-02-05T12:28:08+00:00 (Lisbon)
Número ISBN/EAN: 9781484229187

Número ISBN - Ortografia alternativa:
1-4842-2918-5, 978-1-4842-2918-7
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: thomas thomas
Título do livro: for data science, book programming, advanced, statistical analysis

Dados da editora

Autor: Thomas Mailund
Título: Advanced Object-Oriented Programming in R - Statistical Programming for Data Science, Analysis and Finance
Editora: Apress; APRESS
110 Páginas
Ano de publicação: 2017-06-24
Berkeley; CA; US
Impresso / Feito em
Língua: Inglês
29,95 € (DE)
30,79 € (AT)
33,50 CHF (CH)
POD
XV, 110 p. 10 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Computerprogrammierung und Softwareentwicklung; Verstehen; R; objects; oo; object oriented; programming; coding; software; statistics; Programming Techniques; Compilers and Interpreters; Probability and Statistics in Computer Science; Compiler und Übersetzer; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; EA; BA

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 hierarchiesBenefit from implementation reuseHandle operator overloadingApply the S4 and R6 classes 
An up-to-date and practical R programming guide dealing with object-oriented aspects, classes and more Includes a case study project as a take away for readers Written by an expert in both programming and statistics

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