Description Usage Arguments Value See Also
Generate a random unfit signalgraph object
Since the vertices that must have data are the roots and the leaves, (everything in between can be hidden), then a data frame is simulated for only those nodes.
1 2 | random_unfit_sg(p, n = p * p + p, input_g = NULL, method = "ordered",
no_fixed_prob = 0.3, ...)
|
p |
the number of desired nodes |
n |
the number of desired rows in the data |
input_g |
an igraph object. If supplied then the graph is simulated from a power law fit on this input graph. |
method |
the fitting method for simulating a directed acyclic graph. Ignored if input_g is supplied. |
no_fixed_prob |
probability of generating a case with no fixed variable nodes |
an initialized, but unfit (unoptimized) signal graph model
power_signal_graph
sim_DAG
rand_case
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.