RSiena (version 1.1-232)

varDyadCovar: Function to create a changing dyadic covariate object.

Description

This function creates a changing dyadic covariate object from an array.

Usage

varDyadCovar(val, nodeSets=c("Actors", "Actors"),
    sparse=is.list(val), type=c("oneMode", "bipartite"))

Arguments

val

Array of covariate values, third dimension is the time. Alternatively, a list of sparse matrices of type "dgTMatrix".

nodeSets

Names (character string) of the associated node sets. If the entire data set contains more than one node set, then the node sets must be specified in all data objects.

sparse

Boolean: whether sparse matrices or not.

type

oneMode or bipartite: whether the matrix refers to a one-mode or a bipartite (two-mode) network.

Value

Returns the covariate as an object of class 'varDyadCovar', in which form it can be used as an argument to SienaDataCreate.

Details

When part of a Siena data object, the covariate is assumed to be associated with the node sets named NodeSets of the Siena data object. The names of the associated node sets will only be checked when the Siena data object is created.

References

See http://www.stats.ox.ac.uk/~snijders/siena/

See Also

sienaDataCreate, coDyadCovar, coCovar, varCovar

Examples

# NOT RUN {
mydyadvar <- varDyadCovar(array(c(s501, s502), dim=c(50, 50, 2)))

# }