Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
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$505Python 金融衍生品大數據分析:建模、模擬、校準與對沖 (Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging)
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.