A generic function that returns the edge weights of a graph. If
index is specified, only the weights for the edges from the
specified nodes are returned. The user can control which edge
attribute is interpreted as the weight, see the Details section.
A graph, any object that inherits from the
If supplied, a character or numeric vector of node names or indices.
The name of the edge attribute to use as a weight. You
can view the list of defined edge attributes and their default values
The value to use if
A function that will be used to check that the
edge weights are of the correct type. This function should return
TRUE if the input vector is of the right type and FALSE otherwise.
The default is to check for numeric edge weights using
index is suppled, then edge weights from these nodes to all
adjacent nodes are returned. If
index is not supplied, then the
edge weights for all nodes are returned. The value for nodes without
any outgoing edges will be a zero-length vector of the appropriate
edgeWeights method is a convenience wrapper around
edgeData, the general-purpose way to access edge attribute
information for a
graph instance. In general, edge attributes
can be arbitary R objects. However, for
edgeWeights to make
sense, the values must be vectors of length not more than one.
edgeWeights looks for an edge attribute with name
"weight" and, if found, uses these values to construct the edge
weight list. You can make use of attributes stored under a different
name by providing a value for the
attr argument. For example,
object is a graph instance with an edge attribute named
"WTS", then the call
will attempt to use those values.
The function specified by
type.checker will be given a vector
of edge weights; if the return value is not
TRUE, then an error
will be signaled indicating that the edge weights in the graph are not
of the expected type. Type checking is skipped if
If the graph instance does not have an edge attribute with name given
by the value of the
default will be used
as the weight for all edges. Note that if there is an attribute named
attr, then its default value will be used for edges not
specifically customized. See
edgeDataDefaults for more information.
Because of their position after the
..., no partial matching is
performed for the arguments
A named list of named edge weight vectors. The names on the list are
the names of the nodes specified by
index, or all nodes if
index was not provided. The names on the weight vectors are
node names to identify the edge to which the weight belongs.
R. Gentleman and S. Falcon
1 2 3 4 5 6 7 8 9 10 11
V <- LETTERS[1:4] edL2 <- vector("list", length=4) names(edL2) <- V for(i in 1:4) edL2[[i]] <- list(edges=c(2,1,2,1)[i], weights=sqrt(i)) gR2 <- graphNEL(nodes=V, edgeL=edL2, edgemode="directed") edgeWeights(gR2, "C") edgeWeights(gR2) edgeWeights(gR2, attr="foo", default=5) edgeData(gR2, attr="weight") edgeData(gR2, from="C", attr="weight")
Loading required package: BiocGenerics Loading required package: parallel Attaching package: 'BiocGenerics' The following objects are masked from 'package:parallel': clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, parApply, parCapply, parLapply, parLapplyLB, parRapply, parSapply, parSapplyLB The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, append, as.data.frame, basename, cbind, colMeans, colSums, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which, which.max, which.min $C B 1.732051 $A B 1 $B A 1.414214 $C B 1.732051 $D A 2 $A B 5 $B A 5 $C B 5 $D A 5 $`A|B`  1 $`B|A`  1.414214 $`C|B`  1.732051 $`D|A`  2 $`C|B`  1.732051
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.