graph_from_incidence_matrix creates a bipartite igraph graph from an incidence
matrix.
graph_from_incidence_matrix(incidence, directed = FALSE, mode = c("all",
  "out", "in", "total"), multiple = FALSE, weighted = NULL,
  add.names = NULL)from_incidence_matrix(...)
The input incidence matrix. It can also be a sparse matrix
from the Matrix package.
Logical scalar, whether to create a directed graph.
A character constant, defines the direction of the edges in
directed graphs, ignored for undirected graphs. If ‘out’, then
edges go from vertices of the first kind (corresponding to rows in the
incidence matrix) to vertices of the second kind (columns in the incidence
matrix). If ‘in’, then the opposite direction is used. If
‘all’ or ‘total’, then mutual edges are created.
Logical scalar, specifies how to interpret the matrix elements. See details below.
This argument specifies whether to create a weighted graph
from the incidence matrix. If it is NULL then an unweighted graph is
created and the multiple argument is used to determine the edges of
the graph. If it is a character constant then for every non-zero matrix
entry an edge is created and the value of the entry is added as an edge
attribute named by the weighted argument. If it is TRUE then a
weighted graph is created and the name of the edge attribute will be
‘weight’.
A character constant, NA or NULL.
graph_from_incidence_matrix can add the row and column names of the incidence
matrix as vertex attributes. If this argument is NULL (the default)
and the incidence matrix has both row and column names, then these are added
as the ‘name’ vertex attribute. If you want a different vertex
attribute for this, then give the name of the attributes as a character
string. If this argument is NA, then no vertex attributes (other than
type) will be added.
Passed to graph_from_incidence_matrix.
A bipartite igraph graph. In other words, an igraph graph that has a
vertex attribute type.
Bipartite graphs have a ‘type’ vertex attribute in igraph,
this is boolean and FALSE for the vertices of the first kind and
TRUE for vertices of the second kind.
graph_from_incidence_matrix can operate in two modes, depending on the
multiple argument. If it is FALSE then a single edge is
created for every non-zero element in the incidence matrix. If
multiple is TRUE, then the matrix elements are rounded up to
the closest non-negative integer to get the number of edges to create
between a pair of vertices.
make_bipartite_graph for another way to create bipartite
graphs
# NOT RUN {
inc <- matrix(sample(0:1, 15, repl=TRUE), 3, 5)
colnames(inc) <- letters[1:5]
rownames(inc) <- LETTERS[1:3]
graph_from_incidence_matrix(inc)
# }
Run the code above in your browser using DataLab