In the R ecosystem, "Advanced OOP" doesn't mean just one thing. Unlike Java or Python, R offers several distinct object-oriented systems, each designed for different architectural needs. Choosing the right one is the difference between a clean, maintainable package and a tangled mess of code. The Landscape: Functional vs. Encapsulated OOP
The first step in strategic selection is understanding the fundamental divide in R’s approach to objects: Advanced Object-Oriented Programming in R: Stat...
Strict type checking; multiple dispatch (methods can choose logic based on multiple arguments). Cons: High "ceremony" and steep learning curve. 3. R6: The Modern Powerhouse In the R ecosystem, "Advanced OOP" doesn't mean
Reference Classes are built into base R and function similarly to R6 but are built on top of S4. The Landscape: Functional vs
S4 is a more formal version of S3, requiring explicit class definitions with "slots" and typed data.
Methods belong to the object . You call them using the $ operator (e.g., my_object$do_something() ). The Core Systems 1. S3: The Pragmatic Standard
Encapsulation (private vs. public fields); reference semantics (modify objects in-place); method chaining.