coerce-methods-graph.RdSince 2005, package Matrix has supported coercions to and
from class graph from package
graph.
Since 2013, this functionality has been exposed via functions
T2graph and graph2T, which, unlike methods for
as(from, "<Class>"), support optional arguments.
graph2T(from, use.weights = )
T2graph(from, need.uniq = !isUniqueT(from), edgemode = NULL)for graph2T(), an R object of class
"graph";
for T2graph(), a sparse matrix inheriting from
"TsparseMatrix".
logical indicating if weights should be used, i.e.,
equivalently the result will be numeric, i.e. of class
dgTMatrix; otherwise the result will be
ngTMatrix or nsTMatrix,
the latter if the graph is undirected. The default looks if there
are weights in the graph, and if any differ from 1, weights
are used.
a logical indicating if from may need to be
internally “uniqified”; do not set this and hence rather use
the default, unless you know what you are doing!
one of NULL, "directed", or
"undirected". The default NULL looks if the matrix is
symmetric and assumes "undirected" in that case.
For graph2T(), a sparse matrix inheriting from
"TsparseMatrix".
For T2graph() an R object of class "graph".
Package igraph, which provides similar coercions
to and from its class igraph via functions
graph_from_adjacency_matrix and as_adjacency_matrix.
if(requireNamespace("graph")) {
n4 <- LETTERS[1:4]; dns <- list(n4,n4)
show(a1 <- sparseMatrix(i= c(1:4), j=c(2:4,1), x = 2, dimnames=dns))
show(g1 <- as(a1, "graph")) # directed
unlist(graph::edgeWeights(g1)) # all '2'
show(a2 <- sparseMatrix(i= c(1:4,4), j=c(2:4,1:2), x = TRUE, dimnames=dns))
show(g2 <- as(a2, "graph")) # directed
# now if you want it undirected:
show(g3 <- T2graph(as(a2,"TsparseMatrix"), edgemode="undirected"))
show(m3 <- as(g3,"Matrix"))
show( graph2T(g3) ) # a "pattern Matrix" (nsTMatrix)
DONTSHOW({
stopifnot(
identical(as(g3,"Matrix"), as(as(a2 + t(a2), "nMatrix"),"symmetricMatrix"))
,
identical(tg3 <- graph2T(g3), graph2T(g3, use.weights=FALSE))
,
identical(as(m3,"TsparseMatrix"), asUniqueT(tg3))
)
})
a. <- sparseMatrix(i=4:1, j=1:4, dimnames=list(n4, n4), repr="T") # no 'x'
show(a.) # "ngTMatrix"
show(g. <- as(a., "graph"))
DONTSHOW({
stopifnot(graph::edgemode(g.) == "undirected",
graph::numEdges(g.) == 2,
all.equal(as(g., "TsparseMatrix"),
as(a., "symmetricMatrix"))
)
})
}
#> Loading required namespace: graph