generate_input: Generate a random input for graph diffusion

In diffuStats: Diffusion scores on biological networks

Description

Function generate_input generates a random list of nodes from an igraph object. It also specifies the true solution generating the list. The graph object needs to have some attributes (automatically added through generate_graph)

Usage

generate_input(graph, order, length_inputs, return_matrix = TRUE, seed = NULL)

Arguments

graph	an igraph object, typically from generate_input
order	numeric or vector, order of the neighbourhoods that generate the list
length_inputs	numeric, number of nodes in the generated inputs
return_matrix	logical, should inputs be returned as a matrix?
seed	numeric, seed for random number generator

Value

A list whose elements are lists with three slots: pos for the true signal generators, neg for the nodes that did not generate signal and input for the signal itself

Examples

g <- generate_graph(
    fun_gen = igraph::barabasi.game,
    param_gen = list(n = 200, m = 3, directed = FALSE),
    seed = 1)
synth_input <- generate_input(
    g,
    order = 2,
    length_inputs = 3, return_matrix = TRUE)
str(synth_input)

diffuStats documentation built on Feb. 22, 2021, 10 a.m.