§2024-12-03

In R, both a <- 1 and a = 1 are valid ways to assign a value to a variable, but a <- 1 is the preferred convention in the R community. Here's why:

  1. <- (the assignment operator)

Preferred in R: a <- 1 is the traditional assignment operator in R, and it is widely used in the R programming community. This operator is specifically designed for assignment and is visually distinct from other operators, which helps to avoid confusion. Clarity: Using <- makes it clear that you are performing an assignment and not comparing values or doing some other operation. Consistency: The use of <- helps maintain consistency in R code, especially since it is more commonly seen in R tutorials, documentation, and source code.

  1. = (the equals sign)

Valid but less preferred: You can use a = 1 for assignment, and it works similarly in most cases. However, the = sign is more commonly associated with argument passing in function calls (e.g., func(arg = value)), and using it for assignment can sometimes be ambiguous. Potential issues: In certain contexts, especially within function calls or when used in more complex expressions, = may cause confusion or subtle bugs due to its dual role (assignment vs. argument specification).

When to use = = is generally fine for assignment when you're inside function calls (e.g., lm(y = 1, x = 2)), as it makes it clear you're specifying arguments.

However, outside of function calls, it's better to stick with <- for clarity and convention.

In summary, a <- 1 is the preferred and more idiomatic approach in R.