A cluster future is a future whose value will be resolved asynchronously in a parallel process
An R expression.
If TRUE, argument
substitute():ed, otherwise not.
The environment from where global objects should be identified.
(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
(optional) a character vector specifying packages to be attached in the R environment evaluating the future.
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.
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