Transparent and Reproducible Artificial Data Generation
Add an empty cluster to a metadata object
Performs various consistency checks on a setup file
Create a new setup file template
Delete a cluster from a metadata object
Generate a dataset from a metadata object
Generate a dataset from a metadata object
Generate a dataset from a metadata object
Generate a dataset from a metadata object
Generate a dataset from a metadata object
Generate a dataset from a metadata object
Generates a number of datasets from one metadata scenario
Generates random strings
Initialize a new metadata object
A class that represents a metadata object for binary data
A class that represents a metadata object for functional data
A class to represent a metadata object
A class that represents a metadata object for metric data
A class that represents a metadata object for ordinal data
A class that represents a metadata object for string data
3d plot of a metric metadata object
3d plot of a metric metadata object
Plot a metadata object
Plot a metadata object
Plot a metadata object
Plot a metadata object
Plot a metadata object
Sample grid points for functional data
Saves a list of metadata objects to a new setup file
Returns the setup summary
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.