Build a decision tree from a hierarchical list

Constructs a tree from a nested R list, where the hierarchy is defined by the list's structure. It also initialises the answer and confidence attributes required for the analysis.

Usage

load_tree_node_list(data_list)

Arguments

data_list

A nested R list representing the tree structure. Each list element should have a name and can have other attributes like question, rule, and a sub-list named nodes containing its children.

Value

A data.tree object, fully constructed and initialised with answer and confidence attributes set to NA.

Details

This is a core constructor function, typically called by the load_tree_yaml() wrapper, which handles parsing the YAML file into a list.

See also

load_tree_yaml() to read this format from a file.

Examples

# 1. Define the tree structure as a nested list
my_data_list <- list(
  name = "Root",
  rule = "OR",
  nodes = list(
    list(name = "Leaf A", question = "Is A true?"),
    list(name = "Branch B",
         rule = "AND",
         nodes = list(
           list(name = "Leaf B1", question = "Is B1 true?"),
           list(name = "Leaf B2", question = "Is B2 true?")
         )
    )
  )
)

# 2. Build the tree from the list
my_tree <- load_tree_node_list(my_data_list)

# 3. Print the resulting tree
print_tree(my_tree)
#> Tree                                             Rule      Answer      Confidence   
#> Root                                              OR                     
#> |-- Leaf A                                                               
#> `-- Branch B                                      AND                    
#>     |-- Leaf B1                                                          
#>     `-- Leaf B2