A cluster future is a future whose value will be resolved asynchronously in a parallel process
ClusterFuture( expr = NULL, substitute = TRUE, envir = parent.frame(), persistent = FALSE, workers = NULL, ... ) MultisessionFuture( expr = NULL, substitute = TRUE, envir = parent.frame(), persistent = FALSE, workers = NULL, ... )
An R expression.
If TRUE, argument
substitute():ed, otherwise not.
The environment from where global objects should be identified.
If FALSE, the evaluation environment is cleared from objects prior to the evaluation of the future.
a character vector of host names, a positive numeric scalar,
or a function.
If a character vector or a numeric scalar, a
is created using
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
ClusterFuture() returns an object of class
MultisessionFuture() returns an object of class
which inherits from
To use 'cluster' futures, use
plan(cluster, ...), cf. cluster.
To use 'multisession' futures, use
plan(multisession, ...), cf. multisession.