Learn R Programming

BatchExperiments (version 1.4.3)

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

598

Version

1.4.3

License

BSD_3_clause + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

March 21st, 2022

Functions in BatchExperiments (1.4.3)

getAlgorithmIds

Get ids of algorithms in registry.
generateProblemInstance

Generate dynamic part of problem.
addAlgorithm

Add an algorithm to registry.
ExperimentJob

ExperimentJob
addProblem

Add a problem to registry.
addExperiments

Add experiemts to the registry.
getAlgorithm

Get algorithm from registry by id.
getExperimentParts

Get all parts required to run a single job.
findExperiments

Find ids of experiments that match a query.
BatchExperiments

The BatchExperiments package
summarizeExperiments

Summarize selected experiments.
reduceResultsExperimentsParallel

Reduce very many results in parallel.
removeAlgorithm

Remove algorithm from registry.
getIndex

Group experiments.
getJobs.ExperimentRegistry

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

Reduce results into a data.frame with all relevant information.
makeExperimentRegistry

Construct a registry object for experiments.
removeExperiments

Remove jobs from registry.
getProblem

Get problem from registry by id.
getProblemIds

Get ids of problems in registry.
removeProblem

Remove problem from registry.
makeDesign

Create parameter designs for problems and algorithms.
getResultVars

Get variable groups of reduced results.