createNetwork {MoNAn} | R Documentation |
createNetwork
Description
Defines a network between locations, generally to be used as a predictor in the model. NOTE: The outcome variable of the model is not defined as a network, but as an edgelist!
Usage
createNetwork(
m,
isSymmetric = FALSE,
isBipartite = FALSE,
nodeSet = NULL,
nodes = NULL
)
dyadicCovar(
m,
isSymmetric = FALSE,
isBipartite = FALSE,
nodeSet = NULL,
nodes = NULL
)
Arguments
m |
A square matrix containing the network data. |
isSymmetric |
Currently not in use. |
isBipartite |
Currently not in use. |
nodeSet |
Which nodeset are the nodes of the network. Usually this will be the locations in the data. |
nodes |
Alternative way to specify the nodeSet by naming nodes: nodes denote the locations in the edgelist |
Value
An object of class "network.monan".
See Also
createProcessState()
, createEdgelist()
Examples
# create an object of class network.monan
sameRegion <- outer(orgRegion, orgRegion, "==") * 1
sameRegion <- createNetwork(sameRegion, nodeSet = c("organisations", "organisations"))
[Package MoNAn version 1.0.0 Index]