Learn R Programming
⚠️There's a newer version (1.4.3) of this package.Take me there.

BatchExperiments (version 1.4.1)

Statistical Experiments on Batch Computing Clusters

Description

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

Copy Link

Version

Install

install.packages('BatchExperiments')

Monthly Downloads

2,497

Version

1.4.1

License

BSD_3_clause + file LICENSE

Issues

5

Pull Requests

2

Stars

17

Forks

5

Maintainer

Michel Lang

Last Published

March 18th, 2015

Functions in BatchExperiments (1.4.1)

generateProblemInstance

Generate dynamic part of problem.
addProblem

Add a problem to registry.
removeAlgorithm

Remove algorithm from registry.
makeDesign

Create parameter designs for problems and algorithms.
getProblemIds

Get ids of problems in registry.
reduceResultsExperimentsParallel

Reduce very many results in parallel.
removeProblem

Remove problem from registry.
findExperiments

Find ids of experiments that match a query.
getAlgorithmIds

Get ids of algorithms in registry.
makeExperimentRegistry

Construct a registry object for experiments.
getProblem

Get problem from registry by id.
summarizeExperiments

Summarize selected experiments.
getExperimentParts

Get all parts required to run a single job.
addExperiments

Add experiemts to the registry.
BatchExperiments

The BatchExperiments package
addAlgorithm

Add an algorithm to registry.
getResultVars

Get variable groups of reduced results.
removeExperiments

Remove jobs from registry.
getAlgorithm

Get algorithm from registry by id.
getIndex

Group experiments.
ExperimentJob

ExperimentJob
reduceResultsExperiments

Reduce results into a data.frame with all relevant information.
getJobs.ExperimentRegistry

Get jobs (here: experiments) from registry by id.