add_random_module_to_network: Adds a random module of a given size to the network

In tgrimes/SeqNet: Generate RNA-Seq Data from Gene-Gene Association Networks

Description

Adds a random module of a given size to the network

Usage

add_random_module_to_network(network, module_size, ...)

Arguments

network	The 'network' object to modify.
module_size	The size of the module to generate.
...	Additional arguments passed into random_module().

Value

The modified 'network' object.

Examples

# This function provides an alternative way to iteratively add random
# modules to the network. It uses a weighted sampling of nodes, where
# nodes that haven't been selected for a module have a higher probability 
# of being sampled for the new module.
nw <- create_empty_network(100)
plot(nw) # An empty network of 100 nodes.
# Add random modules of size 10 to the network, 1 at a time.
# By plotting the network each time, we can watch it grow.
set.seed(12345)
plot(nw <<- add_random_module_to_network(nw, 10))
plot(nw <<- add_random_module_to_network(nw, 10))
plot(nw <<- add_random_module_to_network(nw, 10))
plot(nw <<- add_random_module_to_network(nw, 10))
plot(nw <<- add_random_module_to_network(nw, 10))
plot(nw <<- add_random_module_to_network(nw, 10))
# Etc.

tgrimes/SeqNet documentation built on Sept. 1, 2020, 7:50 a.m.