The “future_pmap” Function in R

• Package: furrr

• Purpose: Parallel mapping using futures with multiple arguments.

• General class: Parallel computing

• Required argument(s):

• .f: The function to be applied to each element.

• ...: The input data, is specified as individual arguments in a list.

• Notable optional arguments:

• None

• Example:

• # Load the furrr package
  library(furrr)
  
  # Tells future_pmap to run in parallel on 2 cores
  plan(multisession, workers = 2)
  
  # Define a function that takes multiple arguments
  add_numbers <- function(a, b) {return(a + b)}
  
  # Use future_pmap to apply the function in parallel with multiple arguments
  result <- future_pmap(list(a = c(1, 2, 3), b = c(4, 5, 6)), .f = add_numbers)
  
  # Print the result
  print(result)

• In this example, we use the “future_pmap” function from the furrr package to apply the add_numbers function to pairs of elements in parallel. The function add_numbers takes two arguments a and b, and we provide lists of values for a and b to future_pmap. The output result will contain the sum of corresponding elements from the input lists.