reduceResultsExperimentsParallel

[<code><a href="/link/ExperimentRegistry?package=BatchExperiments&version=1.2" 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>list</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=1.2" 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=1.2" 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