Package index • dataset

Dataset

Work with DataSet objects that resemble the W3C and SDMX datacube model.

dataset_df() as_dataset_df() is.dataset_df() print(<dataset_df>) is_dataset_df(): Create a new dataset_df object

bind_defined_rows(): Bind strictly defined rows

Defined

A labelled subclass that retains unit, definition and namespace.

defined() is.defined() summary(<haven_labelled_defined>): Create a semantically well-defined, labelled vector

var_label(<defined>) label_attribute() `var_label<-`() var_label(<dataset_df>): Get or Set a Variable Label

var_labels() `var_labels<-`(): Get or set all variable labels on a dataset

var_unit() `var_unit<-`() get_variable_units() unit_attribute() get_unit_attribute() set_unit_attribute() `unit_attribute<-`(): Get or Set a Unit of Measure

var_concept() `var_concept<-`(): Get / set a concept definition for a vector or a dataset

var_namespace() `var_namespace<-`() get_variable_namespaces() namespace_attribute() get_namespace_attribute() set_namespace_attribute() `namespace_attribute<-`(): Get or Set the Namespace of a Variable

as_numeric() as.numeric(<haven_labelled_defined>): Coerce a defined vector to numeric

as_character() as.character(<haven_labelled_defined>): Coerce a defined vector to character

as_factor(): Coerce a defined vector to a factor

strip_defined(): Strip the class from a defined vector

get_variable_concepts(): Get concepts for all variables in a dataset_df

c(<haven_labelled_defined>): Combine defined vectors with metadata checks

vec_cast.double(<haven_labelled_defined>): Cast defined vector to base numeric (double)

Bibliography functions

Constructors for extended bibentry classes (DataCite / DCTERMS).

bibrecord(): Create a Modern Metadata Object Compatible with bibentry

as_datacite() datacite() is.datacite() print(<datacite>): Create a Bibentry Object with DataCite Metadata Fields

as_dublincore() dublincore() is.dublincore() print(<dublincore>): Add or Retrieve Dublin Core Metadata

Bibliography helpers

Helpers to read/update bibliography attributes of dataset_df.

get_bibentry() `set_bibentry<-`(): Get or set the bibentry

dataset_title() `dataset_title<-`(): Get or Set the Title of a Dataset

creator() `creator<-`(): Get/set the Creator of the object.

contributor() `contributor<-`(): Get or set contributors

language() `language<-`(): Set the Primary Language of a Dataset

subject() subject_create() `subject<-`() is.subject(): Create, add, or retrieve a subject

relation() `relation<-`() related_create() is.related() related_item() `related_item<-`(): Add or retrieve related items (DataCite/Dublin Core)

publication_year() `publication_year<-`(): Get or Set the Publication Year of a Dataset Object

publisher() `publisher<-`(): Get or Set the Publisher of a Dataset Object

dataset_format() `dataset_format<-`(): Get or set the technical format of a dataset

rights() `rights<-`(): Get or Set the Rights of a Dataset Object

identifier() `identifier<-`(): Get or Set the Identifier of a Dataset or Metadata Record

description() `description<-`(): Get or set the dataset Description

geolocation() `geolocation<-`(): Get or Set the Geolocation of a Dataset Object

RDF Serialisation

Describe data/metadata in RDF.

describe(): Describe a dataset in N-Triples format

provenance() `provenance<-`(): Get or update provenance information

xsd_convert(): Convert to XML Schema Definition (XSD) Types

n_triples(): Create N-Triples

n_triple(): Create an N-Triple

dataset_to_triples(): Dataset to triples (three columns or N-Triples)

id_to_column(): Add Identifier to First Column of a Dataset

Replication Datasets

Enriched Orange and simple GDP demo datasets.

orange_df: Growth of Orange Trees

gdp: A Small GDP Dataset