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EML (version 2.0.4)

set_attributes: set_attributes

Description

set_attributes

Usage

set_attributes(
  attributes,
  factors = NULL,
  col_classes = NULL,
  missingValues = NULL
)

Arguments

attributes

a joined table of all attribute metadata

factors

a table with factor code-definition pairs; see details

col_classes

optional, list of R column classes ('ordered', 'numeric', 'factor', 'Date', or 'character', case sensitive) will let the function infer missing 'domain' and 'measurementScale' values for attributes column. Should be in same order as attributeNames in the attributes table, or be a named list with names corresponding to attributeNames in the attributes table.

missingValues

optional, a table with missing value code-deinition pairs; see details

Value

an eml "attributeList" object

Details

The attributes data frame must use only the recognized column headers shown here. The attributes data frame must contain columns for required metadata. These are:

For all data:

  • attributeName (required, free text field)

  • attributeDefinition (required, free text field)

  • measurementScale (required, "nominal", "ordinal", "ratio", "interval", or "dateTime", case sensitive) but it can be inferred from col_classes.

  • domain (required, "numericDomain", "textDomain", "enumeratedDomain", or "dateTimeDomain", case sensitive) but it can be inferred from col_classes.

For numeric (ratio or interval) data:

  • unit (required). Unitless values should use "dimensionless" as the unit.

For character (textDomain) data:

  • definition (required)

For dateTime data:

  • formatString (required)

Other optional allowed columns in the attributes table are: source, pattern, precision, numberType, missingValueCode, missingValueCodeExplanation, attributeLabel, storageType, minimum, maximum

The factors data frame, required for attributes in an enumerated domain, must use only the following recognized column headers:

  • attributeName (required)

  • code (required)

  • definition (required)

The missingValues data frame, optional, can be used in the case that multiple missing value codes need to be set for the same attribute. This table must contain the following recognized column headers.

  • attributeName (required)

  • code (required)

  • definition (required)