yamlet: yamlet: Versatile Curation of Table Metadata

In bergsmat/yamlet: Versatile Curation of Table Metadata

yamlet: Versatile Curation of Table Metadata

Description

The yamlet package supports storage and retrieval of table metadata in yaml format. The most important function is decorate.character: it lets you 'decorate' your data by attaching attributes retrieved from a file in yaml format. Typically your data will be of class 'data.frame', but it could be anything that is essentially a named list.

Storage Format

Storage format for 'yamlet' is a text file containing well-formed yaml. Technically, it is a map of sequences. Though well formed, it need not be complete: attributes or their names may be missing.

In the simplest case, the data specification consists of a list of column (item) names, followed by semicolons. Perhaps you only have one column:

mpg:

or maybe several:

mpg:
cyl:
disp:

If you know descriptive labels for your columns, provide them (skip a space after the colon).

mpg: fuel economy
cyl: number of cylinders
disp: displacement

If you know units, create a sequence with square brackets.

mpg: [ fuel economy, miles/gallon ]
cyl: number of cylinders
disp: [ displacement , in^3 ]

If you are going to give units, you probably should give a key first, since the first anonymous element is 'label' by default, and the second is 'guide'. (A guide can be units for numeric variables, factor levels/labels for categorical variables, or a format string for dates, times, and datetimes.) You could give just the units but you would have to be specific:

mpg: [units: miles/gallon]

You can over-ride default keys by providing them in your data:

mpg: [units: miles/gallon]
_keys: [label, units]

Notice that stored yamlet can be informationally defective while syntactically correct. If you don't know an item key at the time of data authoring, you can omit it:

race: [race, [white: 0, black: 1, 2, asian: 3 ]]

Or perhaps you know the key but not the value:

race: [race, [white: 0, black: 1, asian: 2, ? other ]]

Notice that race is factor-like; the factor sequence is nested within the attribute sequence. Equivalently:

race: [label: race, guide: [white: 0, black: 1, asian: 2, ? other ]]

If you have a codelist of length one, you should still enclose it in brackets:

sex: [Sex, [ M ]]

To get started using yamlet, see ?as_yamlet.character and examples there. See also ?decorate which adds yamlet values to corresponding items in your data. See also ?print.decorated which uses label attributes, if present, as axis labels.

Note: the quinidine and phenobarb datasets in the examples are borrowed from nlme (?Quinidine, ?Phenobarb), with some reorganization.

See Also

Useful links:

• Report bugs at https://github.com/bergsmat/yamlet/issues

bergsmat/yamlet documentation built on Feb. 18, 2024, 5:50 a.m.