The “plan” Function in R

  • Package: future

  • Purpose: Configures a future backend plan for parallel processing.

  • General class: Parallel computing

  • Required argument(s):

    • strategy: The strategy for parallelization.

  • Notable optional arguments:

    • workers: Number of workers to be used.

  • Example:

  • # Load the future package
    library(future)

    # Plan a future backend with multicore strategy
    plan(multicore)

    # Now execute parallel code using futures
    values <- future_map(1:10, ~ sqrt(.x))

    # Print the result
    print(values)

  • This example demonstrates how to use the “plan” function from the future package to set up a future backend with a multicore strategy. The “strategy” argument specifies the parallelization strategy and the “workers” argument determines the number of cores used for the calculations.

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The “future_map2” Function in R