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.