R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 13 found.
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detectCores (Package: parallel) : Detect the Number of CPU Cores

Attempt to detect the number of CPU cores on the current host.

● Data Source: ● Keywords:
● Alias: detectCores
● 0 images

mclapply (Package: parallel) : Serial versions of code{mclapply

These are simple serial versions of mclapply, mcmapply, mcMap and pvec for Windows where forking is not available.

● Data Source: ● Keywords: interface
● Alias: mcMap, mclapply, mcmapply, pvec
● 0 images

RNGstreams (Package: parallel) : Implementation of Pierre L'Ecuyer's RngStreams

This is an R re-implementation of Pierre L'Ecuyer's ‘RngStreams’ multiple streams of pseudo-random numbers.

● Data Source: ● Keywords: distribution, sysdata
● Alias: clusterSetRNGStream, mc.reset.stream, nextRNGStream, nextRNGSubStream
● 0 images

clusterApply (Package: parallel) : Apply Operations using Clusters

These functions provide several ways to parallelize computations using a cluster.

● Data Source: ● Keywords:
● Alias: clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, clusterSplit, parApply, parCapply, parLapply, parLapplyLB, parRapply, parSapply, parSapplyLB
● 0 images

makeCluster (Package: parallel) :

Creates a set of copies of R running in parallel and communicating over sockets.

● Data Source: ● Keywords:
● Alias: R_PARALLEL_PORT, makeCluster, makeForkCluster, makePSOCKcluster, setDefaultCluster, stopCluster
● 0 images

splitIndices (Package: parallel) : Divide Tasks for Distribution in a Cluster

This divides up 1:nx into ncl lists of approximately equal size, as a way to allocate tasks to nodes in a cluster.

● Data Source: ● Keywords: utility
● Alias: splitIndices
● 0 images

parallel-package (Package: parallel) :

Support for parallel computation, including random-number generation.

● Data Source: ● Keywords: package
● Alias: parallel, parallel-package
● 0 images

pvec (Package: parallel) : Parallelize a Vector Map Function using Forking

pvec parellelizes the execution of a function on vector elements by splitting the vector and submitting each part to one core. The function must be a vectorized map, i.e. it takes a vector input and creates a vector output of exactly the same length as the input which doesn't depend on the partition of the vector.

● Data Source: ● Keywords: interface
● Alias: pvec
● 0 images

mcchildren (Package: parallel) : Low-level Functions for Management of Forked Processes

These are low-level support functions for the forking approach.

● Data Source: ● Keywords: interface
● Alias: children, mckill, readChild, readChildren, selectChildren, sendChildStdin, sendMaster
● 0 images

mcfork (Package: parallel) : Fork a Copy of the Current R Process

These are low-level functions, not available on Windows, and not exported from the namespace.

● Data Source: ● Keywords: interface
● Alias: mcexit, mcfork
● 0 images