
Last chance! 50% off unlimited learning
Sale ends in
as.directed
converts an undirected graph to directed,
as.undirected
does the opposite, it converts a directed graph to
undirected.
as.directed(graph, mode = c("mutual", "arbitrary"))as.undirected(graph, mode = c("collapse", "each", "mutual"),
edge.attr.comb = igraph_opt("edge.attr.comb"))
The graph to convert.
Character constant, defines the conversion algorithm. For
as.directed
it can be mutual
or arbitrary
. For
as.undirected
it can be each
, collapse
or
mutual
. See details below.
Specifies what to do with edge attributes, if
mode="collapse"
or mode="mutual"
. In these cases many edges
might be mapped to a single one in the new graph, and their attributes are
combined. Please see attribute.combination
for details on
this.
A new graph object.
Conversion algorithms for as.directed
:
The number of edges in the graph stays the same, an arbitrarily directed edge is created for each undirected edge.
Two directed edges are created for each undirected edge, one in each direction.
Conversion algorithms for as.undirected
:
The number of edges remains constant, an undirected edge is created for each directed one, this version might create graphs with multiple edges.
One undirected edge will be created for each pair of vertices which are connected with at least one directed edge, no multiple edges will be created.
One undirected edge will be created for each pair of mutual edges. Non-mutual edges are ignored. This mode might create multiple edges if there are more than one mutual edge pairs between the same pair of vertices.
simplify
for removing multiple and/or loop edges from
a graph.
# NOT RUN {
g <- make_ring(10)
as.directed(g, "mutual")
g2 <- make_star(10)
as.undirected(g)
# Combining edge attributes
g3 <- make_ring(10, directed=TRUE, mutual=TRUE)
E(g3)$weight <- seq_len(ecount(g3))
ug3 <- as.undirected(g3)
print(ug3, e=TRUE)
# }
# NOT RUN {
x11(width=10, height=5)
layout(rbind(1:2))
plot( g3, layout=layout_in_circle, edge.label=E(g3)$weight)
plot(ug3, layout=layout_in_circle, edge.label=E(ug3)$weight)
# }
# NOT RUN {
g4 <- graph(c(1,2, 3,2,3,4,3,4, 5,4,5,4,
6,7, 7,6,7,8,7,8, 8,7,8,9,8,9,
9,8,9,8,9,9, 10,10,10,10))
E(g4)$weight <- seq_len(ecount(g4))
ug4 <- as.undirected(g4, mode="mutual",
edge.attr.comb=list(weight=length))
print(ug4, e=TRUE)
# }
Run the code above in your browser using DataLab