graph.empty(n=0, directed=TRUE)
graph(edges, n=max(edges)+1, directed=TRUE)
graph.star(n, mode = "in", center = 0)
graph.lattice(dimvector, nei = 1, directed = FALSE, mutual = FALSE,
circular = FALSE)
graph.lattice(length, dim, nei = 1, directed = FALSE, mutual = FALSE,
circular = FALSE)
graph.ring(n, directed = FALSE, mutual = FALSE, circular=TRUE)
graph.tree(n, children = 2, mode="out")
graph.full(n, directed = FALSE, loops = FALSE)
graph.full.citation(n, directed = TRUE)
graph.atlas(n)
graph.edgelist(el, directed=TRUE)
graph.extended.chordal.ring(n, w)graph.lattice and graph.ring it is FALSE. For
graph.star the mode argument sh For graph this parameter is ignored if there is a bigger
vertex id in edges. This means that for this function it is
safe to supply zero here if the vertex with
graph.star it defines the direction of the
edges, in: the edges point to the center, out:
the edges point from the center, undirected: the edges
are undirected.For
graph.star the center vertex of the graph, by
default the first vertex.graph.lattice.graph.tree.graph object. graph.empty is the simplest one, this creates an empty graph.
graph creates a graph with the given edges.
graph.star creates a star graph, in this every single vertex is
connected to the center vertex and nobody else.
graph.lattice is a flexible function, it can create lattices of
arbitrary dimensions, periodic or unperiodic ones.
graph.ring is actually a special case of graph.lattice,
it creates a one dimensional circular lattice.
graph.tree creates regular trees.
graph.full simply creates full graphs.
graph.full.citation creates a full citation graph. This is a
directed graph, where every i->j edge is present if and only if jgraph.atlas creates graphs from the book An Atlas of Graphs by
Roland C. Read and Robin J. Wilson. The atlas contains all undirected
graphs with up to seven vertices, numbered from 0 up to 1252. The
graphs are listed:
graph.edgelist creates a graph from an edge list. Its argument
is a two-column matrix, each row defines one edge. If it is
a numeric matrix then its elements are interpreted as vertex ids. If
it is a character matrix then it is interpreted as symbolic vertex
names and a vertex id will be assigned to each name, and also a
name vertex attribute will be added.
graph.extended.chordal.ring creates an extended chordal ring.
An extended chordal ring is regular graph, each node has the same
degree. It can be obtained from a simple ring by adding some extra
edges specified by a matrix. Let p denote the number of columns in
the Wi
are added according to column i mod p in
WWj an edge
i->i+w[ij] is added if i+w[ij] is less than the number
of total nodes. See also Kotsis, G: Interconnection Topologies for
Parallel Processing Systems, PARS Mitteilungen 11, 1-6, 1993.
graph.adjacency to create graphs from adjacency
matrices, graph.formula for a handy way to create small
graphs, graph.data.frame for an easy way to create
graphs with many edge/vertex attributes.g1 <- graph.empty()
g2 <- graph( c(1,2,2,3,3,4,5,6), directed=FALSE )
g5 <- graph.star(10, mode="out")
g6 <- graph.lattice(c(5,5,5))
g7 <- graph.lattice(length=5, dim=3)
g8 <- graph.ring(10)
g9 <- graph.tree(10, 2)
g10 <- graph.full(5, loops=TRUE)
g11 <- graph.full.citation(10)
g12 <- graph.atlas(sample(0:1252, 1))
el <- matrix( c("foo", "bar", "bar", "foobar"), nc=2, byrow=TRUE)
g13 <- graph.edgelist(el)
g15 <- graph.extended.chordal.ring(15, matrix(c(3,12,4,7,8,11), nr=2))Run the code above in your browser using DataLab