parpbsapply: Parallel sapply with progressbar

In munterfi/eRTG3D: Empirically Informed Random Trajectory Generation in 3-D

Description

Function detects the operating system and chooses the approximate kind of process for parallelizing the task: Windows: PSOCKCluster, Unix: Forking.

Usage

parpbsapply(
  X,
  FUN,
  packages = NULL,
  export = NULL,
  envir = environment(),
  nNodes = parallel::detectCores() - 1
)

Arguments

X	a vector (atomic or list) or an expression object. Other objects (including classed objects) will be coerced by base::as.list.
FUN	function, the function to be applied to each element of X
packages	character vector, Only relevant for Windows: the packages needed in the function provided, eg. c("MASS", "data.table")
export	character vector, Only relevant for Windows: the varibales needed in the function provided, eg. c("df", "vec")
envir	environment, Only relevant for Windows: Environment from which the variables should be exported from
nNodes	numeric, Number of processes to start (unix: best to fit with the available Cores)

Value

A vector with the results.

Examples

square <- function(x) {
  x * x
}
s <- parpbsapply(X = 1:1000, FUN = square, export = c("square"), nNodes = 2)

munterfi/eRTG3D documentation built on Feb. 25, 2022, noon