Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 8 of 8 found.
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registerDoSEQ (Package: foreach) : registerDoSEQ

The registerDoSEQ function is used to explicitly register a sequential parallel backend with the foreach package. This will prevent a warning message from being issued if the %dopar% function is called and no parallel backend has been registered.
● Data Source: CranContrib
● Keywords: utilities
● Alias: registerDoSEQ
● 0 images

setDoSeq (Package: foreach) : setDoSeq

The setDoSeq function is used to register a sequential backend with the foreach package. This isn't normally executed by the user. Instead, packages that provide a sequential backend provide a function named registerDoSeq that calls setDoSeq using the appropriate arguments.
● Data Source: CranContrib
● Keywords: utilities
● Alias: setDoSeq
● 0 images

getDoParWorkers (Package: foreach) : Functions Providing Information on the doPar Backend

The getDoParWorkers function returns the number of execution workers there are in the currently registered doPar backend. It can be useful when determining how to split up the work to be executed in parallel. A 1 is returned by default.
● Data Source: CranContrib
● Keywords: utilities
● Alias: getDoParName, getDoParRegistered, getDoParVersion, getDoParWorkers
● 0 images

foreach-ext (Package: foreach) : Foreach Extension Functions

These functions are used to write parallel backends for the foreach package. They should not be used from normal scripts or packages that use the foreach package.
● Data Source: CranContrib
● Keywords: utilities
● Alias: accumulate, foreach-ext, getErrorIndex, getErrorValue, getResult, getexports, makeAccum
● 0 images

foreach-package (Package: foreach) :

The foreach package provides a new looping construct for executing R code repeatedly. The main reason for using the foreach package is that it supports parallel execution. The foreach package can be used with a variety of different parallel computing systems, include NetWorkSpaces and snow. In addition, foreach can be used with iterators, which allows the data to specified in a very flexible way.
● Data Source: CranContrib
● Keywords: package
● Alias: foreach-package
● 0 images

setDoPar (Package: foreach) : setDoPar

The setDoPar function is used to register a parallel backend with the foreach package. This isn't normally executed by the user. Instead, packages that provide a parallel backend provide a function named registerDoPar that calls setDoPar using the appropriate arguments.
● Data Source: CranContrib
● Keywords: utilities
● Alias: setDoPar
● 0 images

foreach (Package: foreach) : foreach

%do% and %dopar% are binary operators that operate on a foreach object and an R expression. The expression, ex, is evaluated multiple times in an environment that is created by the foreach object, and that environment is modified for each evaluation as specified by the foreach object. %do% evaluates the expression sequentially, while %dopar% evalutes it in parallel. The results of evaluating ex are returned as a list by default, but this can be modified by means of the .combine argument.
● Data Source: CranContrib
● Keywords: utilities
● Alias: %:%, %do%, %dopar%, foreach, times, when
● 0 images

getDoSeqWorkers (Package: foreach) : Functions Providing Information on the doSeq Backend

The getDoSeqWorkers function returns the number of execution workers there are in the currently registered doSeq backend. A 1 is returned by default.
● Data Source: CranContrib
● Keywords: utilities
● Alias: getDoSeqName, getDoSeqRegistered, getDoSeqVersion, getDoSeqWorkers
● 0 images