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

Thomas Mailund
4.9/5 (34946 ratings)
Read Now Download Now ⏭ listen AudioBook
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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance. To get started finding Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
—
Format
PDF, EPUB & Kindle Edition
Publisher
Apress
Release
2017
ISBN
1484229193

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

Thomas Mailund
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance. To get started finding Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
—
Format
PDF, EPUB & Kindle Edition
Publisher
Apress
Release
2017
ISBN
1484229193

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