igraph (version 1.2.9)

igraph-es-attributes: Query or set attributes of the edges in an edge sequence

Description

The $ operator is a syntactic sugar to query and set edge attributes, for edges in an edge sequence.

Usage

# S3 method for igraph.es
[[(x, i) <- value
# S3 method for igraph.es
[(x, i) <- value
# S3 method for igraph.es
$(x, name)
# S3 method for igraph.es
$(x, name) <- value
E(x, path = NULL, P = NULL, directed = NULL) <- value

Arguments

x

An edge sequence. For E<- it is a graph.

i

Index.

value

New value of the attribute, for the edges in the edge sequence.

name

Name of the edge attribute to query or set.

path

Select edges along a path, given by a vertex sequence See E.

P

Select edges via pairs of vertices. See E.

directed

Whether to use edge directions for the path or P arguments.

Value

A vector or list, containing the values of the attribute name for the edges in the sequence. For numeric, character or logical attributes, it is a vector of the appropriate type, otherwise it is a list.

Details

The query form of $ is a shortcut for edge_attr, e.g. E(g)[idx]$attr is equivalent to edge_attr(g, attr, E(g)[idx]).

The assignment form of $ is a shortcut for set_edge_attr, e.g. E(g)[idx]$attr <- value is equivalent to g <- set_edge_attr(g, attr, E(g)[idx], value).

See Also

Other vertex and edge sequences: E(), V(), igraph-es-indexing2, igraph-es-indexing, igraph-vs-attributes, igraph-vs-indexing2, igraph-vs-indexing, print.igraph.es(), print.igraph.vs()

Other vertex and edge sequences: E(), V(), igraph-es-indexing2, igraph-es-indexing, igraph-vs-attributes, igraph-vs-indexing2, igraph-vs-indexing, print.igraph.es(), print.igraph.vs()

Examples

# NOT RUN {
# color edges of the largest component
largest_comp <- function(graph) {
  cl <- components(graph)
  V(graph)[which.max(cl$csize) == cl$membership]
}
g <- sample_(gnp(100, 1/100),
  with_vertex_(size = 3, label = ""),
  with_graph_(layout = layout_with_fr)
)
giant_v <- largest_comp(g)
E(g)$color <- "orange"
E(g)[giant_v %--% giant_v]$color <- "blue"
plot(g)
# }