Advanced Object-Oriented Programming in R - Statistical Programming for Data Science, Analysis and Finance Mailund ThomasPaperback
Advanced Object-Oriented Programming in R - Statistical Programming for Data Science, Analysis and Finance Mailund ThomasPaperback Learn how to write object-oriented programs in R and how to…
Specifikacia Advanced Object-Oriented Programming in R - Statistical Programming for Data Science, Analysis and Finance Mailund ThomasPaperback
Advanced Object-Oriented Programming in R - Statistical Programming for Data Science, Analysis and Finance Mailund ThomasPaperback
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. 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. 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.
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'll then be able to visualize your data as objects that have state and then manipulate those objects with polymorphic or generic methods. 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.