as.sociomatrix {network} | R Documentation |
as.sociomatrix
takes adjacency matrices, adjacency arrays, network
objects, or lists thereof, and returns one or more sociomatrices (adjacency matrices) as appropriate. This routine provides a useful input-agnostic front-end to functions which process adjacency matrices.
as.sociomatrix(x, attrname = NULL, simplify = TRUE, expand.bipartite = FALSE, ...)
x |
an adjacency matrix, array, |
attrname |
optionally, the name of a network attribute to use for extracting edge values (if |
simplify |
logical; should |
expand.bipartite |
logical; if |
... |
additional arguments for the coercion routine. |
as.sociomatrix
provides a more general means of coercing input into adjacency matrix form than as.matrix.network
. In particular, as.sociomatrix
will attempt to coerce all input networks into the appropriate form, and return the resulting matrices in a regularized manner. If simplify==TRUE
, as.sociomatrix
attempts to return the matrices as a single adjacency array. If the input networks are of variable size, or if simplify==FALSE
, the networks in question are returned as a list of matrices. In any event, a single input network is always returned as a lone matrix.
If attrname
is given, the specified edge attribute is used to extract edge values from any network
objects contained in x
. Note that the same attribute will be used for all networks; if no attribute is specified, the standard dichotomous default will be used instead.
One or more adjacency matrices. If all matrices are of the same dimension and simplify==TRUE
, the matrices are joined into a single array; otherwise, the return value is a list of single adjacency matrices.
Carter T. Butts buttsc@uci.edu
Butts, C. T. (2008). “network: a Package for Managing Relational Data in R.” Journal of Statistical Software, 24(2). http://www.jstatsoft.org/v24/i02/
#Generate an adjacency array g<-array(rbinom(100,1,0.5),dim=c(4,5,5)) #Generate a network object net<-network(matrix(rbinom(36,1,0.5),6,6)) #Coerce to adjacency matrix form using as.sociomatrix as.sociomatrix(g,simplify=TRUE) #Returns as-is as.sociomatrix(g,simplify=FALSE) #Returns as list as.sociomatrix(net) #Coerces to matrix as.sociomatrix(list(net,g)) #Returns as list of matrices