View source: R/read_attributes.R
read_attributes | R Documentation |
The read_attributes
function reads an entity's attribute
details from a "entity name"_attrs.yaml or "entity name"_attrs.csv file in
the working directory - the details of which are incorporated into the EML
metadata for that entity. If present in the working directory, factor
metadata in a "entity name"_factors.yaml or "entity name"_factors.csv are
read and incorporated into attribute metadata. NA, NaN, and user-provided
missing value codes are documented for each variable if they exist.
read_attributes(
entity_name,
missing_value_code = NULL,
entity_id = "data_entity"
)
entity_name |
(character) The quoted name of the data entity. |
missing_value_code |
(optional)
(character) |
entity_id |
(character) Quoted identifier of the data object that is being described, this will usually be the name or hash of the data table (or otherwise) of which the attribute is associated. |
The read_attributes
function reads an entity's attribute
details from a "entity name"_attrs.yaml or "entity name"_attrs.csv file in
the working directory - the details of which are incorporated into the EML
metadata for that entity. If present in the working directory, factor
metadata in a "entity name"_factors.yaml or "entity name"_factors.csv are
read and incorporated into attribute metadata. NA, NaN, and user-provided
missing value codes are documented for each variable if they exist.
A entity of type EML attributes or list of attributes (for testing and debugging)
The read_attributes
function is specific to all data types
_except_ rasters. A sister function read_raster_attributes
addresses
similar functionality for raster data.
Recent versions of the capeml package generate attribute and factor
metadata files in yaml format; the read_attributes
function will look
also for attributes files in csv format to accommodate older projects.
The read_attributes
function is intended primarily as a helper
to other functions in the capeml ecosystem so is not meant to be called
directly (but can be).
Missing value codes are not documented for geometry columns of spatial (sf) objects.
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