Query or set attributes of the vertices in a vertex sequence
The $
operator is a syntactic sugar to query and set the
attributes of the vertices in a vertex sequence.
## S3 replacement method for class 'igraph.vs' x[[i]] <- value ## S3 replacement method for class 'igraph.vs' x[i] <- value ## S3 method for class 'igraph.vs' x$name ## S3 replacement method for class 'igraph.vs' x$name <- value V(x) <- value
x |
A vertex sequence. For |
i |
Index. |
value |
New value of the attribute, for the vertices in the vertex sequence. |
name |
Name of the vertex attribute to query or set. |
The query form of $
is a shortcut for
vertex_attr
, e.g. V(g)[idx]$attr
is equivalent
to vertex_attr(g, attr, V(g)[idx])
.
The assignment form of $
is a shortcut for
set_vertex_attr
, e.g. V(g)[idx]$attr <- value
is
equivalent to g <- set_vertex_attr(g, attr, V(g)[idx], value)
.
A vector or list, containing the values of
attribute name
for the vertices in the vertex sequence.
For numeric, character or logical attributes, it is a vector of the
appropriate type, otherwise it is a list.
Other vertex and edge sequences:
E()
,
V()
,
igraph-es-attributes
,
igraph-es-indexing2
,
igraph-es-indexing
,
igraph-vs-indexing2
,
igraph-vs-indexing
,
print.igraph.es()
,
print.igraph.vs()
Other graph attributes:
delete_edge_attr()
,
delete_graph_attr()
,
delete_vertex_attr()
,
edge_attr<-()
,
edge_attr_names()
,
edge_attr()
,
graph_attr<-()
,
graph_attr_names()
,
graph_attr()
,
igraph-dollar
,
set_edge_attr()
,
set_graph_attr()
,
set_vertex_attr()
,
vertex_attr<-()
,
vertex_attr_names()
,
vertex_attr()
g <- make_(ring(10), with_vertex_( name = LETTERS[1:10], color = sample(1:2, 10, replace=TRUE) ) ) V(g)$name V(g)$color V(g)$frame.color <- V(g)$color # color vertices of the largest component largest_comp <- function(graph) { cl <- components(graph) V(graph)[which.max(cl$csize) == cl$membership] } g <- sample_(gnp(100, 2/100), with_vertex_(size = 3, label = ""), with_graph_(layout = layout_with_fr) ) giant_v <- largest_comp(g) V(g)$color <- "blue" V(g)[giant_v]$color <- "orange" plot(g)
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