| network {network} | R Documentation |
Construct, coerce to, test for and print network objects.
network(x, vertex.attr=NULL, vertex.attrnames=NULL, directed=TRUE,
hyper=FALSE, loops=FALSE, multiple=FALSE, bipartite = FALSE, ...)
network.copy(x)
as.network(x, ...)
is.network(x)
## S3 method for class 'network'
print(x, matrix.type = which.matrix.type(x),
mixingmatrices = FALSE, na.omit = TRUE, print.adj = FALSE, ...)
## S3 method for class 'network'
summary(object, na.omit=TRUE, mixingmatrices=FALSE,
print.adj = TRUE, ...)
x |
for |
vertex.attr |
optionally, a list containing vertex attributes. |
vertex.attrnames |
optionally, a list containing vertex attribute names. |
directed |
logical; should edges be interpreted as directed? |
hyper |
logical; are hyperedges allowed? |
loops |
logical; should loops be allowed? |
multiple |
logical; are multiplex edges allowed? |
bipartite |
count; should the network be interpreted as bipartite? If present (i.e., non-NULL, non-FALSE) it is the count of the number of actors in the bipartite network. In this case, the number of nodes is equal to the number of actors plus the number of events (with all actors preceeding all events). The edges are then interpreted as nondirected. Values of bipartite==0 are permited, indicating a bipartite network with zero-sized first partition. |
matrix.type |
one of |
object |
an object of class |
na.omit |
logical; omit summarization of missing attributes in |
mixingmatrices |
logical; print the mixing matrices for the discrete attributes? |
print.adj |
logical; print the network adjacency structure? |
... |
additional arguments. |
network constructs a network class object from a matrix representation. It is strongly recommended that you specify the matrix.type parameter, to avoid ambiguity in the type of input matrix. See the documentation of edgeset.constructors for the format of these input matrices.
network.copy creates a new network object which duplicates its supplied argument. (Direct assignment with <- should be used rather than network.copy in most cases.)
as.network tries to coerce its argument to a network, using the network function if necessary.
is.network tests whether its argument is a network (in the sense that it has class network).
print.network prints a network object in one of several possible formats. It also prints the list of global attributes of the network.
summary.network provides similar information.
network, as.network, and print.network all return a network class object; is.network returns TRUE or FALSE.
Between versions 0.5 and 1.2, direct assignment of a network object created a pointer to the original object, rather than a copy. As of version 1.2, direct assignment behaves in the same manner as network.copy. Direct use of the latter is thus superfluous in most situations, and is discouraged.
Many of the network package functions modify their network object arguments in-place. For example, set.network.attribute(net,"myVal",5) will have the same effect as net<-set.network.attribute(net,"myVal",5). Unfortunately, the current implementation of in-place assignment breaks when the network argument is an element of a list or a named part of another object. So set.network.attribute(myListOfNetworks[[1]],"myVal",5) will silently fail to modify its network argument, likely leading to incorrect output.
Carter T. Butts buttsc@uci.edu and David Hunter dhunter@stat.psu.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/
network.initialize, attribute.methods, as.network.matrix, as.matrix.network, deletion.methods, edgeset.constructors, network.indicators, plot.network
m <- matrix(rbinom(25,1,.4),5,5) diag(m) <- 0 g <- network(m, directed=FALSE) summary(g) h <- network.copy(g) #Note: same as h<-g summary(h)