Unified interface to your data sources.
This package provides several S4 classes that make it easier to collect and work with datasets. The package is inspired by the scraperwiki project, which provides a webbased service for data collection. Also inspiring are Mathematica's xxxData functions, which provide in-built parametrizable datasets.
You can specify web resources with the
urldata and the
xsparql functions. For working with locally saved data,
internalData and the
csvdata function. The objects instantiated with these functions can than be passed
to the generic
query along with some parameters to get to the data.
You can combine several resources with the
Besides parameterized queries ("read" operations), the package also aims to support "write" operations.
For this purpose, some functions (currently
swvreport) for defining targets
as well as some functions (currently
dirloc) for defining locations
are provided. The generic
put then builds the target and puts it at the defined location.
Some examples aim to proof the concept, for instance
The package is highly experimental, and likely to change heavily without backward compatiblity.
Karsten Weinert, factbased blogspot.
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.