All functions

backtrace()

Back trace the expressions evaluated when an error was caught

cluster()

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

clusterExportSticky()

Export globals to the sticky-globals environment of the cluster nodes

future() futureAssign() `%<-%` futureCall()

Create a future

future.options future.cmdargs .future.R future.startup.script R_FUTURE_STARTUP_SCRIPT future.debug R_FUTURE_DEBUG future.demo.mandelbrot.region R_FUTURE_DEMO_MANDELBROT_REGION future.demo.mandelbrot.nrow R_FUTURE_DEMO_MANDELBROT_NROW future.fork.multithreading.enable R_FUTURE_FORK_MULTITHREADING_ENABLE future.globals.maxSize R_FUTURE_GLOBALS_MAXSIZE future.globals.method R_FUTURE_GLOBALS_METHOD future.globals.onMissing R_FUTURE_GLOBALS_ONMISSING future.globals.resolve R_FUTURE_GLOBALS_RESOLVE future.globals.onReference R_FUTURE_GLOBALS_ONREFERENCE future.plan R_FUTURE_PLAN future.resolve.recursive R_FUTURE_RNG_ONMISUSE future.wait.alpha R_FUTURE_WAIT_ALPHA future.wait.interval R_FUTURE_WAIT_INTERVAL future.wait.timeout R_FUTURE_WAIT_TIMEOUT R_FUTURE_RESOLVED_TIMEOUT future.output.windows.reencode R_FUTURE_OUTPUT_WINDOWS_REENCODE

Options used for futures

futureOf()

Get the future of a future variable

futureSessionInfo()

Get future-specific session information and validate current backend

futures()

Get all futures in a container

`%conditions%`

Control whether standard output should be captured or not

`%globals%` `%packages%`

Specify globals and packages for a future assignment

`%label%`

Specify label for a future assignment

`%lazy%`

Control lazy / eager evaluation for a future assignment

`%plan%`

Use a specific plan for a future assignment

`%seed%`

Set random seed for future assignment

`%stdout%`

Control whether standard output should be captured or not

`%tweak%`

Temporarily tweaks the arguments of the current strategy

multicore()

Create a multicore future whose value will be resolved asynchronously in a forked parallel process

multisession()

Create a multisession future whose value will be resolved asynchronously in a parallel R session

nbrOfWorkers() nbrOfFreeWorkers()

Get the number of workers available

plan()

Plan how to resolve a future

re-exports as.cluster autoStopCluster availableCores availableWorkers makeClusterMPI makeClusterPSOCK makeNodePSOCK supportsMulticore

Functions Moved to 'parallelly'

resolve()

Resolve one or more futures synchronously

resolved()

Check whether a future is resolved or not

transparent() sequential()

Create a sequential future whose value will be in the current R session

tweak()

Tweak a future function by adjusting its default arguments

value()

The value of a future or the values of all elements in a container