The purpose of this book is to introduce objects and classes in R and tell how the object-oriented programming is done in R. Object-oriented programming is basically to clear out the concept of objects and on designing programs in the way of operations that one can do with objects and how objects communicate with other objects. In R, information is unchanging, so you don’t compose code where you change an article’s state. Rather, you work with objects as values, and procedure on objects make new items when you want new “state”. Articles and classes in R are more like unique information structures. You have esteems and related tasks you can do on these qualities. Such theoretical information structures are executed diversely indifferent programming dialects. Most item situated dialects carry out them utilizing classes and class pecking orders while numerous useful dialects characterize them utilizing some sort of type particulars that characterize what capabilities can be applied to objects.

In this book, I will attempt to cover object-direction both as a displaying method for planning programming yet in addition as an apparatus for creating reusable algorithmic programming. Polymorphism, a foundation of item situated programming, loans itself promptly to creating adaptable calculations and to joining different substantial executions of dynamic information types to tailor
dynamic calculations to substantial issues. A primary utilization of R is AI also, information science where proficient and adaptable calculations are more significant than demonstrating an issue space, such a great deal the book will zero in on those parts of item situated programming.

You can learn these all topics in detail:

  • Generic Functions with classes, Polymorphism and Algorithmic Programming, Sorting Lists and General Comments on Flexible Implementations of Algorithms.
  • Polymorphism and Interfaces, Abstract and Concrete Classes, Implementing Abstract and Concrete Classes in R and Another Examples of Graphical Objects.
  • You can learn detail topics of Method Lookup in Class Hierarchies.
  • Bayesian Linear Regression, Model Matrices, Constructing Fitted Model Objects, Coefficients and Confidence Intervals and Predicting Response Variables.
  • Functions and Operators Overloading Complete Chapter In detail.
  • Constructors, Dispatching on Type-Signatures Operator Overloading, Combining S3 and S4 Classes.
  • In last section you will learn all these topics in detail: Defining Classes, Object Initialization, Private and Public Attributes , Active Bindings Inheritance References to Objects and Object Sharing, Interaction with S3 and Operator Overloading.