{"product_id":"advanced-object-oriented-programming-in-r-statistical-programming-for-data-science-analysis-and-finance-paperback","title":"Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance - Paperback","description":"\u003cp\u003eby \u003cb\u003eThomas Mailund\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eLearn 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.\u003cbr\u003eAfter reading \u003ci\u003eAdvanced Object-Oriented Programming in R\u003c\/i\u003e, 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. \u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDefine and use classes and generic functions using R \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with the R class hierarchies\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBenefit from implementation reuse\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHandle operator overloading\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply the S4 and R6 classes \u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eExperienced programmers and for those with at least some prior experience with R programming language. \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eLearn 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.\u003cbr\u003eAfter reading \u003ci\u003eAdvanced Object-Oriented Programming in R\u003c\/i\u003e, 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. \u003cbr\u003eYou will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDefine and use classes and generic functions using R \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with the R class hierarchies\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBenefit from implementation reuse\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHandle operator overloading\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply the S4 and R6 classes \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eThomas Mailund\u003c\/b\u003e is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R and Metaprogramming in R with Apress as well as other books out there.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 110\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.27 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 24, 2017\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42740228489279,"sku":"9781484229187","price":58.3,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/467034ce64b767a7691967435afedf59.webp?v=1765159373","url":"https:\/\/dhlswag.com\/products\/advanced-object-oriented-programming-in-r-statistical-programming-for-data-science-analysis-and-finance-paperback","provider":"BBB","version":"1.0","type":"link"}