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Advanced Objectoriented Programming In R Statistical Programming For Data Science Analysis And Finance 1st Ed Mailund

  • SKU: BELL-55675032
Advanced Objectoriented Programming In R Statistical Programming For Data Science Analysis And Finance 1st Ed Mailund
$ 31.00 $ 45.00 (-31%)

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Advanced Objectoriented Programming In R Statistical Programming For Data Science Analysis And Finance 1st Ed Mailund instant download after payment.

Publisher: SPRINGER
File Extension: PDF
File size: 1.07 MB
Pages: 110
Author: Mailund, Thomas
ISBN: 9781484229187, 1484229185
Language: English
Year: 2017
Edition: 1st ed.

Product desciption

Advanced Objectoriented Programming In R Statistical Programming For Data Science Analysis And Finance 1st Ed Mailund by Mailund, Thomas 9781484229187, 1484229185 instant download after payment.

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. /div

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