oop - When does it pay off to use S4 methods in R programming

Question

I program regularly in R in a professional context, and I write packages for clients or co-workers as well. Some of the programmers here have a Java background and insist on doing everything the object-oriented way, using S4 methods. My experience on the other hand is that S4 implementations often perform worse and cause a lot more headache when trying to get the code do what you want it to do.

I definitely agree that in some cases, you have to be able to construct complex objects or append existing objects in a controlled manner. But most of the time, S4 implementations can easily be done using classic lists as well, without all the hassle like defining standardGeneric, methods, constructors, initializers and the likes.

When do you consider writing S4 implementations for R?

EDIT : For clarity, I do appreciate the answers and the discussion about OO in general in R. OOP can be done in numerous ways in R, but my question is really aimed at the added value of using S4 methods specifically.

Answer 1

My experience is in line with yours, so I use S3 exclusively.

To clarify: S4 has some slick features (e.g. dispatch on multiple arguments and slot type-checking), but I have not encountered a situation where the features outweighed the costs. Examples of the costs include: any slot change requires a full object copy and (potentially worse) the on-going changes to S4 Methods.

In short, I like the idea behind S4 but I would wait for it to mature before using it in my own code.