| Graph | R Documentation |
An R6 class to represent a graph (from discrete mathematics).
Encapsulates and provides methods for computation and checking of undirected graphs. Graphs are systems of vertices connected in pairs by edges. A base class.
A GML stream as a character vector.
new()Create a new Graph object from sets of nodes
and edges.
Graph$new(V, E)
VAn unordered set of Nodes, as a list.
EAn unordered set of Edges, as a list.
A Graph object.
order()Return the order of the graph (number of vertices).
Graph$order()
Order of the graph (integer).
size()Return the size of the graph (number of edges).
Graph$size()
Size of the graph (integer).
vertexes()A list of all the Node objects in the graph.
Graph$vertexes()
The list of Node objects is returned in the same order as their
indexes understood by vertex_index, vertex_at and
vertex_along, which is not necessarily the same order in which
they were supplied in the V argument to new.
vertex_along()Sequence of vertex indices.
Graph$vertex_along()
Similar to base::seq_along, this function provides
the indices of the vertices in the graph. It is intended for use by
graph algorithms which iterate vertices.
A numeric vector of indices from 1 to the order of the graph.
The vertex at index i is not guaranteed to be the same vertex at
V[[i]] of the argument V to new (i.e., the order in
which the vertices are stored internally within the class may differ
from the order in which they were supplied).
vertex_index()Find the index of a vertex in the graph.
Graph$vertex_index(v)
vA vertex, or list of vertexes.
Index of v. The index of vertex v is the one
used internally to the class object, which is not necessarily the same as
the order of vertices in the V argument of new. NA
if v is not a vertex, or is a vertex that is not in the graph.
vertex_at()Find the vertex at a given index.
Graph$vertex_at(index, as_list = FALSE)
indexIndex of vertex in the graph, as an integer, or vector of integers.
as_listBoolean. If TRUE the method returns list of Nodes,
even if the length of index is 1.
The inverse of function vertex_index. The function will
raise an abort signal if all the supplied indexes are not vertexes. The
function is vectorized, but for historical compatibility the return
object is a single Node if index is a scalar. The
return object can be guaranteed to be a list if as_list is set.
Node at index if index is a scalar, a list of Nodes
at the values of index if index is a vector, or an empty
list if index is an empty array.
has_vertex()Test whether a vertex is an element of the graph.
Graph$has_vertex(v)
vVertex, or list of vertices.
A logical scalar or logical vector the same length as v if v is a vector, with TRUE if v is an element of V(G).
vertex_label()Find label of vertexes at index i.
Graph$vertex_label(iv)
ivIndex of vertex, or vector of indexes.
Label(s) of vertex at index i
edges()A list of all the Edge objects in the graph.
Graph$edges()
The list of Edge objects is returned in the same order as their
indexes understood by edge_index, edge_at and
edge_along, which is not necessarily the same order in which they
were supplied in the E argument to new.
edge_along()Sequence of edge indices.
Graph$edge_along()
Similar to base::seq_along, this function provides
the indices of the edges in the graph. It is intended for use by
graph algorithms which iterate edges. It is equivalent to
seq_along(g$edges()), where g is a graph.
A numeric vector of indices from 1 to the size of the graph.
The edge at index i is not guaranteed to be the same edge at
E[[i]] of the argument E to new (i.e., the order in
which the edges are stored internally within the class may differ
from the order in which they were supplied).
edge_index()Find the index of an edge in a graph.
Graph$edge_index(e)
eAn edge object, or list of edge objects.
The index of edge e is the one used internally to the
class object, which is not necessarily the same as the
order of edges in the E argument of new.
Index of e. NA if e is not an edge, or is an
edge that is not in the graph.
edge_at()Find the edge at a given index.
Graph$edge_at(index, as_list = FALSE)
indexIndex of edge in the graph, as an integer, vector of integers, or list of integers.
as_listBoolean. If TRUE the method returns list of Edges,
even if the length of index is 1.
The inverse of function edge_index. The function will
raise an abort signal if the supplied index is not an edge. The
function is vectorized, but for historical compatibility the return
object is a single Edge if index is a scalar. The
return object can be guaranteed to be a list if as_list is set.
The edge, or list of edges, with the specified index.
has_edge()Test whether an edge is an element of the graph.
Graph$has_edge(e)
eEdge or list of edges.
Logical vector with each element TRUE if the corresponding
element of e is an element of E(G).
edge_label()Find label of edge at index i
Graph$edge_label(ie)
ieIndex of edge, or vector of indexes.
Label of edge at index i, or character vector with the labels at
indexes ie.
graph_adjacency_matrix()Compute the adjacency matrix for the graph.
Graph$graph_adjacency_matrix(boolean = FALSE)
booleanIf TRUE, the adjacency matrix is logical, each
cell is {FALSE, TRUE}.
Each cell contains the
number of edges joining the two vertexes, with the convention of
self loops being counted twice, unless binary is TRUE when
cells are either 0 (not adjacent) or 1 (adjacent).
A square integer matrix with the number of rows and columns equal to the order of the graph. The rows and columns are labelled with the node labels, if all the nodes in the graph have unique labels, or the node indices if not.
is_simple()Is this a simple graph?
Graph$is_simple()
A simple graph has no self loops or multi-edges.
TRUE if simple, FALSE if not.
is_connected()Test whether the graph is connected.
Graph$is_connected()
Graphs with no vertices are considered unconnected; graphs with 1 vertex are considered connected. Otherwise a graph is connected if all nodes can be reached from an arbitrary starting point. Uses a depth first search.
TRUE if connected, FALSE if not.
is_acyclic()Checks for the presence of a cycle in the graph.
Graph$is_acyclic()
Uses a depth-first search from each node to detect the presence of back edges. A back edge is an edge from the current node joining a previously detected (visited) node, that is not the parent node of the current one.
TRUE if no cycles detected.
is_tree()Compute whether the graph is connected and acyclic.
Graph$is_tree()
TRUE if the graph is a tree; FALSE if not.
degree()The degree of a vertex in the graph.
Graph$degree(v)
vThe subject node.
The number of incident edges.
Degree of the vertex, integer.
neighbours()Find the neighbours of a node.
Graph$neighbours(v)
vThe subject node (scalar, not a list).
A property of the graph, not the node. Does not include self, even in the case of a loop to self.
A list of nodes which are joined to the subject.
as_DOT()Export a representation of the graph in DOT format.
Graph$as_DOT(rankdir = "LR", width = 7, height = 7)
rankdirOne of "LR" (default), "TB", "RL" or "BT".
widthof the drawing, in inches
heightof the drawing, in inches
Writes the representation in the graphviz DOT language
(https://graphviz.org/doc/info/lang.html) for drawing with one
of the graphviz tools including dot (Gansner, 1993).
A character vector. Intended for passing to writeLines
for saving as a text file.
as_gml()Exports the digraph as a Graph Modelling Language (GML) stream.
Graph$as_gml()
Intended to work with the igraph or DiagrammeR packages, which are able to import GML files.
clone()The objects of this class are cloneable with this method.
Graph$clone(deep = FALSE)
deepWhether to make a deep clone.
Andrew Sims andrew.sims@newcastle.ac.uk
Gansner ER, Koutsofios E, North SC, Vo K-P. A technique for drawing directed graphs. IEEE Transactions on Software Engineering, 1993;19:214–30, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/32.221135")}.
Gross JL, Yellen J, Zhang P. Handbook of Graph Theory. Second edition, Chapman and Hall/CRC.; 2013, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1201/b16132")}
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