Package: bdlp 0.9-2

Rainer Dangl

bdlp: Transparent and Reproducible Artificial Data Generation

The main function generateDataset() processes a user-supplied .R file that contains metadata parameters in order to generate actual data. The metadata parameters have to be structured in the form of metadata objects, the format of which is outlined in the package vignette. This approach allows to generate artificial data in a transparent and reproducible manner.

Authors:Rainer Dangl [aut, cre]

bdlp_0.9-2.tar.gz
bdlp_0.9-2.tar.gz(r-4.5-noble)bdlp_0.9-2.tar.gz(r-4.4-noble)
bdlp_0.9-2.tgz(r-4.4-emscripten)bdlp_0.9-2.tgz(r-4.3-emscripten)
bdlp.pdf |bdlp.html✨
bdlp/json (API)

# Install 'bdlp' in R:
install.packages('bdlp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.11 score 13 scripts 237 downloads 13 exports 50 dependencies

Last updated 4 years agofrom:950b84bea2. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxOKNov 20 2024

Exports:addClustercheckSetupcreateFileskeletondeleteClustergenerateDatagenerateDatabasegetRandomstringsinitializeObjectplot3dMetadataplotMetadatasampleGridsaveSetupsummarizeSetup

Dependencies:base64encbitbit64blobbslibcachemclicorpcorcpp11DBIdigestevaluatefastmapfontawesomefsGenOrdglueGPArotationhighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimemnormtMultiOrdmvtnormnlmepkgconfigplogrpsychR6rappdirsrglrlangrmarkdownRSQLitesassstringdisttinytexvctrsxfunyaml

The Benchmark Data Library Project - a Framework for Artificial Data Generation

Rainer Dangl

Rendered frombdlp.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2021-01-10
Started: 2017-06-06

Readme and manuals

Help Manual

Help pageTopics
Add an empty cluster to a metadata objectaddCluster
Performs various consistency checks on a setup filecheckSetup
Create a new setup file templatecreateFileskeleton
Delete a cluster from a metadata objectdeleteCluster
Generate a dataset from a metadata objectgenerateData
Generate a dataset from a metadata objectgenerateData,metadata.binary-method
Generate a dataset from a metadata objectgenerateData,metadata.functional-method
Generate a dataset from a metadata objectgenerateData,metadata.metric-method
Generate a dataset from a metadata objectgenerateData,metadata.ordinal-method
Generate a dataset from a metadata objectgenerateData,metadata.randomstring-method
Generates a number of datasets from one metadata scenariogenerateDatabase
Generates random stringsgetRandomstrings
Initialize a new metadata objectinitializeObject
A class that represents a metadata object for binary datametadata.binary-class
A class that represents a metadata object for functional datametadata.functional-class
A class to represent a metadata objectmetadata.general-class
A class that represents a metadata object for metric datametadata.metric-class
A class that represents a metadata object for ordinal datametadata.ordinal-class
A class that represents a metadata object for string datametadata.randomstring-class
3d plot of a metric metadata objectplot3dMetadata
3d plot of a metric metadata objectplot3dMetadata,metadata.metric-method
Plot a metadata objectplotMetadata
Plot a metadata objectplotMetadata,metadata.binary-method
Plot a metadata objectplotMetadata,metadata.functional-method
Plot a metadata objectplotMetadata,metadata.metric-method
Plot a metadata objectplotMetadata,metadata.ordinal-method
Sample grid points for functional datasampleGrid
Saves a list of metadata objects to a new setup filesaveSetup
Returns the setup summarysummarizeSetup