TmParallelApply: An OS-independent parallel version of 'lapply'

In ChengMengli/topic: Functions for Text Mining and Topic Modeling

Description

This function takes a vector or list and a function and applies in parallel.

Usage

TmParallelApply(X, FUN, cpus = parallel::detectCores(), export = NULL,
  libraries = NULL, envir = parent.frame())

Arguments

X	A vector or list over which to apply FUN
FUN	A function to apply over X
cpus	Number of CPU cores to use, defaults to the value returned by detectCores.
export	A character vector of objects in the workspace to export when using a Windows machine. Defauts to NULL
libraries	A character vector of library/package names to load on to each cluster if using a Windows machine. Defaults to NULL
envir	Environment from which to export variables in varlist

Details

This function is used to parallelize executions in textmineR. It is necessary because of differing capabilities between Windows and Unix. Unix systems use mclapply. Windows systems use parLapply.

Value

This function returns a list of length length(X).

Examples

## Not run: 
x <- 1:10000
f <- function(y) y * y + 12
result <- TmParallelApply(x, f)

## End(Not run)

ChengMengli/topic documentation built on May 31, 2019, 8:44 p.m.