Function reference • hierarchyUtils

Formatting data Functions for formatting numeric interval columns
`gen_end()` `gen_length()` `gen_name()`	Generate columns to help describe numeric variable intervals
Checking interval data Functions for checking numeric interval columns
`assert_no_missing_intervals_dt()` `identify_missing_intervals_dt()`	Check if the interval column in a data.table missing any expected intervals
`assert_no_overlapping_intervals_dt()` `identify_overlapping_intervals_dt()`	Check if the interval column in a data.table has overlapping intervals
Aggregation and scaling Functions for aggregating and scaling hierarchical data
`agg()` `scale()`	Aggregate/Scale a detailed level of a hierarchical variable to an aggregate level
Common intervals Functions for identifying/collapsing to the most detailed common set of intervals
`collapse_common_intervals()`	Collapse an interval variable to the most detailed common set of intervals
`identify_common_intervals()` `merge_common_intervals()`	Helper functions for collapsing to the most detailed common intervals
Splitting hierarchical data Functions for splitting hierarchical data into more detailed groupings
`split_unknown()`	Split unknown groupings
Example data Example hierarchical data and mappings to use with `hierarchyUtils` functions
`iran_pop`	Iran Census Population Counts
`iran_mapping`	Iran Provinces Mapping from 1950 to Today
Debugging aggregation and scaling Functions for debugging errors/warnings when aggregating and scaling hierarchical data
`create_agg_tree()` `create_scale_tree()` `vis_tree()`	Create a data.tree object to be used for aggregating or scaling hierarchical categorical or interval data
`hierarchyUtils`	hierarchyUtils: Utility Functions for Hierarchically Structured Data