Advanced Object-oriented Programming In: R: Stat...

90% of R tasks, especially providing print() , summary() , or plot() methods for new data types. Pros: Minimal boilerplate; easy to learn; highly flexible.

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 Advanced Object-Oriented Programming in R: Stat...

Advanced Object-Oriented Programming in R: Strategic Selection 90% of R tasks, especially providing print() ,

Managing stateful objects (like database connections, caches, or GUI widgets) and avoiding R’s usual copy-on-modify behavior. 90% of R tasks

No formal validation; it relies on naming conventions (e.g., generic.class ). 2. S4: The Rigorous Contract

R6 (via the R6 package ) provides "classical" OOP similar to Java or C++.