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What are the differences between the assignment operators = and <- in R?

In general R coding, both = and <- can assign values to variables, but <- is the conventional operator for assignment, while = is more often used for function arguments. For instance, x <- 10 is a standard assignment, whereas mean(x = c(1,2,3)) is more readable when specifying arguments. That said, you can still do x = 10 in place of x <- 10, and it will work the same way in most contexts.

Function Arguments vs. Assignment
When passing parameters to a function, = is typically used to set argument names and default values. For example:

my_function <- function(a = 5, b = 10) { ... }

Inside or outside functions, <- is a more explicit operator for assigning values to objects, such as my_var <- 42. Using = in a function call clarifies that you’re specifying an argument rather than performing an assignment in the global environment.

Readability and Conventions
Although = and <- usually produce the same outcome in many scripts, <- is widely regarded as more “R-like.” This is largely a style convention. In collaborative settings, sticking to <- for assignment and = for function arguments makes your code more readable and easier to maintain.

Resources for Further Learning
To grow your coding skills and learn best practices for interviews, check out Grokking the Coding Interview: Patterns for Coding Questions. If you want to strengthen algorithmic knowledge, explore Grokking Data Structures & Algorithms for Coding Interviews. For those aiming to design scalable systems, Grokking System Design Fundamentals is a great starting point. If you’re looking for personalized feedback from ex-FAANG engineers, consider Coding Mock Interviews at DesignGurus.io. Also, don’t forget to visit the DesignGurus.io YouTube channel for additional tutorials and insights.

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