reduceResultsExperimentsParallel

[<code><a href="/link/ExperimentRegistry?package=BatchExperiments&version=1.1" rd-options="" data-mini-rdoc="BatchExperiments::ExperimentRegistry">ExperimentRegistry</a></code>]Registry.

[<code>integer</code>]Ids of selected
  experiments.  Default is all jobs for which results are
  available.

[<code>character</code>] Only useful for multiple
  result files, then defines which result file part(s)
  should be loaded.  <code>NA</code> means all parts are loaded,
  which is the default.

part

[<code>function(job, res, ...)</code>]Function
  to collect values from <code>job</code> and result <code>res</code>
  object, the latter from stored result file.  Must return
  an object which can be coerced to a <code>data.frame</code>
  (e.g. a <code></code>

[any]Additional arguments to <code>fun</code>.

[<code>integer(1)</code>] Number of parallel jobs
  to create.  Default is 20.

njobs

[<code>logical(1)</code>] Should all
  character columns in result be converted to factors?
  Default is <code>default.stringsAsFactors()</code>.

strings.as.factors

Basically the same as
<code><a href="/link/reduceResultsExperiments?package=BatchExperiments&version=1.1" rd-options="" data-mini-rdoc="BatchExperiments::reduceResultsExperiments">reduceResultsExperiments</a></code> but creates a few
(hopefully short) jobs to reduce the results in parallel.
The function internally calls <code><a href="/link/batchMapQuick?package=BatchExperiments&version=1.1" rd-options="" data-mini-rdoc="BatchExperiments::batchMapQuick">batchMapQuick</a></code>,
does <dquote>busy-waiting</dquote> till all jobs are done and
cleans all temporary files up. Useful when you have very
results and reducing is slow.

Extends the BatchJobs package to run statistical experiments on
    batch computing clusters. For further details see the project web page.

reduceResultsExperimentsParallel: Reduce very many results in parallel.

Description

Usage

Arguments

Value