Parallel computation of function — run

Some computations take considerable amount of time to execute. This function provides a helper wrapper for running functions of the apply family to specified outputs.

Usage

run_parallel(
  X,
  FUN,
  cores = 1,
  approach = "future",
  export_packages = NULL,
  ...
)

Arguments

X: A list, data.frame or matrix object to be fed to a single core or parallel apply call.
FUN: A function passed on for computation.
cores: A numeric of the number of cores to use (Default: 1).
approach: character for the parallelization approach taken (Options: "parallel" or "future").
export_packages: A vector with packages to export for use on parallel nodes (Default: NULL).
...: Any other parameter passed on.

Details

By default, the parallel package is used for parallel computation, however an option exists to use the future package instead.

Examples

if (FALSE) { # \dontrun{
 run_parallel(list, mean, cores = 4)
} # }