Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance (Paperback)Thomas Mailund (author)
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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 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.
Number of pages: 110
Weight: 2058 g
Dimensions: 235 x 155 mm
Edition: 1st ed.
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