Generate a random DAG
dag_random_tree(
n_children = 2,
p_stop = 0,
max = 2^10 - 1,
verbose = simona_opt$verbose
)
dag_add_random_children(
dag,
p_add = 0.1,
new_children = c(1, 4),
add_random_children_fun = NULL,
verbose = simona_opt$verbose
)
dag_random(
n_children = 2,
p_stop = 0,
max = 2^10 - 1,
p_add = 0.1,
new_children = c(1, 4),
verbose = simona_opt$verbose
)Number of children of a term. The value can also be a vector of length two representing the range of the number of child terms.
The probability of a term to stop growing.
Maximal number of terms.
Whether to print messages.
An ontology_DAG object.
The probability to add children on each term.
The number or range of numbers of new children if a term is selected to add more children.
A function to randomly add children from the DAG.
An ontology_DAG object.
dag_random_tree() generates a random DAG tree from the root term. In a certain step of
the growing, let's denote the set of all leaf terms as L, then in the next round of growing,
floor(length(L)*p_stop) leaf terms stop growing, and for the remaining leaf terms that
continue to grow, each term will add child terms with number in uniformly sampled within [ n_children[1], n_children[2] ].
The growing stops when the total number of terms in the DAG exceeds max.
dag_add_random_children() adds more links in a DAG. Each term is associated with a probability p_add
to add new links where the term, if it is selected, is as a parent term, linking to other terms in the DAG.
The number of new child terms is controlled by new_children which can be a single number of a range. By default,
new child terms of a term t are randomly selected from other terms that are lower than the term t
(check the function simona:::add_random_children). The way how to randomly select new child terms for t
can be controlled by a self-defined function for the add_random_children_fun argument.
dag_random(): it simply wraps dag_random_tree() and dag_add_random_children().
tree = dag_random_tree()
dag = dag_random()