inspect_hierarchy: Hierarchy Characteristics
In FvD/conceptr: Tools to work with concept hierarchies

When data gathering takes place for concept hierarchies there are two approaches: Counts are made to the lowest possible level (this is common in biological sciences), or counts are made to a specific level (as may be more common in competency data, where the value is part of the definition of the model).

1	inspect_hierarchy(data, hierarchy)

`data`	Data object to be included
`hierarchy`	Data frame containing hierarchy data

We need to know which is which, so we test when a higher order concept has children in the dataset whether these are already a sum of the lower concepts or a different value. The result is a data frame with two columns: 'concept name' and 'accumulated'. The latter has a yes/no value. resulting data frame has column names as the aggregated columns.

FvD/conceptr documentation built on May 6, 2019, 5:07 p.m.