| SDMXDimension {rsdmx} | R Documentation |
Class "SDMXDimension"
Description
A basic class to handle a SDMX Dimension
Usage
SDMXDimension(xmlObj, namespaces)
Arguments
xmlObj |
object of class "XMLInternalDocument derived from XML package |
namespaces |
object of class "data.frame" given the list of namespace URIs |
Value
an object of class "SDMXDimension"
Slots
conceptRefObject of class "character" giving the dimension conceptRef (required)
conceptVersionObject of class "character" giving the dimension concept version
conceptAgencyObject of class "character" giving the dimension concept agency
conceptSchemeRefObject of class "character" giving the dimension conceptScheme ref
conceptSchemeAgencyObject of class "character" giving the dimension conceptScheme agency
codelistObject of class "character" giving the codelist ref name
codelistVersionObject of class "character" giving the codelist ref version
codelistAgencyObject of class "character" giving the codelist ref agency
isMeasureDimensionObject of class "logical" indicating if the dimension is a measure dimension. Default value is FALSE
isFrequencyDimensionObject of class "logical" indicating if the dimension is a frequency dimension. Default value is FALSE
isEntityDimensionObject of class "logical" indicating if the dimension is an entity dimension. Default value is FALSE
isCountDimensionObject of class "logical" indicating if the dimension is a count dimension. Default value is FALSE
isNonObservationTimeDimensionObject of class "logical" indicating if the dimension is a non-observation dimension. Default value is FALSE
isIdentityDimensionObject of class "logical" indicating if the dimension is an identity dimension. Default value is FALSE
crossSectionalAttachDatasetObject of class "logical"
crossSectionalAttachGroupObject of class "logical"
crossSectionalAttachSectionObject of class "logical"
crossSectionalAttachObservationObject of class "logical"
Warning
This class is not useful in itself, but all SDMX non-abstract classes will encapsulate it as slot, when parsing an SDMX-ML document (Concepts, or DataStructureDefinition)
Author(s)
Emmanuel Blondel, emmanuel.blondel1@gmail.com