Why R6 classes in R Programming? - Purpose & Use Cases

The Big Idea

What if you could create many smart objects that manage themselves, without messy code everywhere?

The Scenario

Imagine you want to keep track of multiple objects, like different bank accounts, each with its own balance and actions like deposit or withdraw. Doing this by writing separate functions and variables for each account quickly becomes messy and confusing.

The Problem

Manually managing related data and functions separately means you have to remember which variables belong to which object. It's easy to mix things up, repeat code, and make mistakes. Updating or adding new features becomes slow and error-prone.

The Solution

R6 classes let you bundle data (like account balance) and actions (like deposit) together into one neat object. This makes your code cleaner, easier to understand, and simpler to maintain. You can create many independent objects from the same class without repeating code.

Before vs After

✗ Before

balance1 <- 100
balance2 <- 200
deposit1 <- function(amount) { balance1 <<- balance1 + amount }
deposit2 <- function(amount) { balance2 <<- balance2 + amount }

✓ After

Account <- R6Class("Account",
  public = list(
    balance = 0,
    deposit = function(amount) { self$balance <- self$balance + amount }
  )
)
acc1 <- Account$new()
acc2 <- Account$new()

What It Enables

It enables you to create many self-contained objects that manage their own data and behavior, making complex programs easier to build and understand.

Real Life Example

Think of a video game where each player character has health, inventory, and actions like attack or heal. Using R6 classes, each character can be an object with its own stats and abilities, all managed cleanly.

Key Takeaways

Manual code mixes data and functions, causing confusion.

R6 classes group data and behavior into reusable objects.

This makes your code cleaner, safer, and easier to expand.