Imagine you're working with a large data set in R and need to perform an operation on a vector that's not memory-efficient. How would you handle this situation?

When working with a large data set in R and facing memory limitations with a vector, you can handle the situation by processing the vector in smaller chunks or subsets to reduce memory usage. Alternatively, you can utilize external memory algorithms or databases specifically designed for efficient data processing. Additionally, optimizing the code for memory usage, minimizing unnecessary operations, and employing efficient algorithms can help overcome memory constraints and improve performance.