Suppose you're asked to optimize a piece of R code that operates on large vectors. What are some strategies you could use to improve its performance?

Some strategies to improve the performance of R code operating on large vectors include using vectorized functions instead of explicit loops, preallocating memory for the resulting vector to avoid dynamic resizing, minimizing unnecessary copies of vectors to reduce memory usage, and optimizing the code logic to avoid redundant calculations. These strategies can significantly enhance the efficiency and speed of code execution.