A cluster future is a future whose value will be resolved asynchronously in a parallel process

ClusterFuture(
expr = NULL,
substitute = TRUE,
envir = parent.frame(),
globals = TRUE,
packages = NULL,
local = !persistent,
persistent = FALSE,
workers = NULL,
...
)

MultisessionFuture(
expr = NULL,
substitute = TRUE,
envir = parent.frame(),
persistent = FALSE,
workers = NULL,
...
)

## Arguments

expr

An R expression.

substitute

If TRUE, argument expr is substitute():ed, otherwise not.

envir

The environment from where global objects should be identified.

globals

(optional) a logical, a character vector, or a named list to control how globals are handled. For details, see section 'Globals used by future expressions' in the help for future().

packages

(optional) a character vector specifying packages to be attached in the R environment evaluating the future.

local

If TRUE, the expression is evaluated such that all assignments are done to local temporary environment, otherwise the assignments are done to the global environment of the R process evaluating the future.

persistent

If FALSE, the evaluation environment is cleared from objects prior to the evaluation of the future.

workers

A cluster object, a character vector of host names, a positive numeric scalar, or a function. If a character vector or a numeric scalar, a cluster object is created using makeClusterPSOCK(workers). If a function, it is called without arguments when the future is created and its value is used to configure the workers. The function should return any of the above types.

...

Additional named elements passed to Future().

## Value

ClusterFuture() returns an object of class ClusterFuture. MultisessionFuture() returns an object of class MultisessionFuture, which inherits from ClusterFuture.

## Usage

To use 'cluster' futures, use plan(cluster, ...), cf. cluster.

To use 'multisession' futures, use plan(multisession, ...), cf. multisession.