Imagine you're asked to optimize a slow-running for loop in R. What are some strategies you could use to improve its performance?

  • Use vectorized operations
  • Preallocate output objects
  • Minimize unnecessary calculations inside the loop
  • All of the above
To optimize a slow-running for loop in R, you can use strategies such as converting the loop to vectorized operations when possible, preallocating output objects to reduce memory reallocation, and minimizing unnecessary calculations or redundant checks inside the loop. These strategies can significantly improve the performance of the loop.
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