createProcessState function

createProcessState

Creates the "Process state", i.e., a MoNAn object that stores all information about the data that will be used in the estimation. This includes the outcome variable (edgelist), the nodesets, and all covariates.

createProcessState(elements, dependentVariable)

Arguments

• elements: A named list of the outcome variable (edgelist), the nodesets, and all covariates that contain the information about the data that will be used in the estimation.
• dependentVariable: The name of the outcome variable (edgelist) as specified under "elements". This indicates what outcome the researcher is interested in.

Returns

An object of class "processState.monan".

Examples

# Create a process state out of the mobility data objects:
# create objects (which are later combined to the process state)
transfers <- createEdgelist(mobilityEdgelist,
  nodeSet = c("organisations", "organisations", "people")
)
people <- createNodeSet(1:nrow(mobilityEdgelist))
organisations <- createNodeSet(1:length(orgRegion))
sameRegion <- outer(orgRegion, orgRegion, "==") * 1
sameRegion <- createNetwork(sameRegion,
  nodeSet = c("organisations", "organisations")
)
region <- createNodeVariable(orgRegion, nodeSet = "organisations")
size <- createNodeVariable(orgSize, nodeSet = "organisations", addSim = TRUE)
sex <- createNodeVariable(indSex, nodeSet = "people")

# combine created objects to the process state
myState <- createProcessState(list(
    transfers = transfers,
    people = people,
    organisations = organisations,
    sameRegion = sameRegion,
    region = region,
    size = size,
    sex = sex),
  dependentVariable = "transfers")

See Also

createEdgelist(), createNodeSet(), createNodeVariable(), createNetwork()