network_functions: Network Manipulation Functions
In trh3/netjack: Tools for Working with Samples of Networks

Description Usage Arguments Value Examples

These functions take a Net object, manipulate the network in some way, and return a list of modified Net objects.

node_jacknife. Removes each node in turn from the Net, and returns a list of jackknifed Net objects.

network_jackknife - Removes each subnetwork in turn from the Net, and returns a list of jackknifed Net objects

absolute_threshold - Applies a series of absolute thresholding to target network, returning a binary network.

relative_threshold - Applies a relative threshold based on target density to target network

node_jackknife(Net)

network_jackknife(Net, network.variable)

absolute_threshold(Net, thresholds)

relative_threshold(Net, percentiles)

`Net`	Network to jackknife
`network.variable`	Character name of node variable containing network labels
`thresholds`	Vector of thresholds to use
`percentiles`	Vector of densities to threshold at

A list of Net objects

data(GroupA)
GroupA1_Net = as_Net(GroupA[[1]], "1", list(community = c(rep(1, 10), rep(2,10))))
node_jackknife(GroupA1_Net)
network_jackknife(GroupA1_Net, "community")