Benchmarking Solutions for Finding Common Elements Between Two Lists: Efficiency Comparison

The code you provided is a benchmarking script that compares the performance of different solutions for finding common elements between two lists. The solutions are:

  1. Original solution: This solution uses the any function to check if any element in one list is present in another list.

  2. Waldi’s solution: This solution uses data.tables and data.table functions to convert the lists into a long format, then performs an inner join on the two tables.

  3. Mustafaakben1’s solution: This solution uses the unlist function to convert the lists into vectors, then uses the sum function to count the number of common elements between each pair of corresponding elements in the two vectors.

  4. Mustafaakben2’s solution: This solution is similar to Mustafaakben1’s solution, but it uses the which function to find the indices of the common elements instead of using the any function.

  5. ThomasIsCoding’s solutions (TIC1 and TIC2): These two solutions use the outer function from the Vectorize function to create a matrix where each cell corresponds to the result of checking if any element in one list is present in another list.

  6. ThomasIsCoding’s solution (TIC3): This solution uses a for loop to iterate over each pair of corresponding elements in the two lists, and checks if any element in one list is present in another list using the any function.

The benchmarking script uses the microbenchmark package to measure the execution time of each solution, and compares their relative performance by printing the results with a “relative” unit.

Based on the results, we can see that:

  • Waldi’s solution has the fastest execution time, followed closely by ThomasIsCoding’s TIC1 solution.
  • Mustafaakben2’s solution is slower than Mustafaakben1’s solution, but still faster than the original solution.
  • The other solutions (TIC2, TIC3) have similar or slower execution times compared to the previous two solutions.

Overall, Waldi’s solution seems to be the most efficient, followed by ThomasIsCoding’s TIC1 solution. Mustafaakben1 and Mustafaakben2 solutions are still relatively fast but slightly slower than the top two solutions.


Last modified on 2023-12-20