lapply_async: 'lapply' using future package in asynchronous way

In beauchamplab/rave: R Analysis and Visualization of 'ECOG/iEEG' Data

lapply using future package in asynchronous way

Description

lapply using future package in asynchronous way

Usage

lapply_async(
  x,
  fun,
  ...,
  .ncores = 0,
  .call_back = NULL,
  .packages = NULL,
  .envir = environment(),
  .globals = TRUE,
  .gc = TRUE,
  .as_datatable = FALSE,
  .nrows = 0
)

lapply_async3(
  x,
  fun,
  ...,
  .globals = TRUE,
  .gc = TRUE,
  .callback = NULL,
  .ncores = 0
)

Arguments

x, fun, ...	(See lapply)
.ncores	Number of cores to use. If the value is 0, the number of cores will be determined by rave_options('max_worker').
.call_back	A function takes current iteration number as argument, can be NULL.
.packages	NULL be default, then the function will detect attached packages automatically. Otherwise you have to specify the packages that you want to load.
.envir	internally used
.globals	Automatically detect variables. See ?future::future
.gc	Clean up environment after each iterations? Recommended for large datasets.
.as_datatable	logical, return result as data.frame. Experimental.
.nrows	integer, if .as_datatable=TRUE, number of rows expected.
.callback	function or NULL, callback function to monitor updates.

Examples

## Not run: 
lapply_async(1:10, function(x){
  Sys.sleep(2) # Run for 1 secs
  Sys.getpid()
}, .ncores = 3, .call_back = function(i){
  cat('Running iteration -', i, '\n')
})

## End(Not run)

beauchamplab/rave documentation built on Feb. 16, 2025, 8:12 p.m.