dot-collect_tree_levels: Traverse the tree and collect per-level data

In tibblify: Rectangle Nested Lists

Traverse the tree and collect per-level data

Description

Traverse the tree and collect per-level data

Usage

.collect_tree_levels(
  x,
  id_col,
  child_col,
  parent_to,
  ancestors_to,
  call = caller_env()
)

Arguments

x	(data.frame) The root-level data frame.
id_col	(character(1), integer(1), or symbol) The column that uniquely identifies each observation.
child_col	(character(1), integer(1), or symbol) The column that contains the children of an observation. This column must be a list where each element is either NULL or a data frame with the same columns as x.
parent_to	(character(1)) The column name ("parent" by default) in which to store the parent id of an observation. Use NULL if you don't need this information.
ancestors_to	(character(1)) The column name (NULL by default) in which to store the ids of the ancestors of a deeply nested child. Use NULL if you don't need this information.
call	(environment) The environment to use for error messages.

Value

A named list with elements level_data, out_ptype, level_sizes, level_parent_ids, and level_ancestors.

tibblify documentation built on May 9, 2026, 5:07 p.m.