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

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

    Posted By: roxul
    Date: 23 Jun 2017 12:46:35
    Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

    Thomas Mailund, "Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance"
    English | ISBN: 1484229185 | 2017 | 110 pages | PDF | 1 MB

    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.
    UPWARDS