Nothing
Code
empty_impl()
Output
IGRAPH D--- 0 0 --
+ edges:
Code
empty_impl(5, directed = FALSE)
Output
IGRAPH U--- 5 0 --
+ edges:
Code
x
Condition
Error in `empty_impl()`:
! At vendor/cigraph/src/graph/type_indexededgelist.c:xx : Number of vertices must not be negative. Invalid value
Code
add_edges_impl(g, c(0, 1, 1, 2))
Output
IGRAPH D--- 3 2 --
+ edges:
[1] 1->2 2->3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
copy_impl(g)
Output
IGRAPH D--- 2 0 --
+ edges:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
delete_vertices_idx_impl(g, 1)
Output
$graph
IGRAPH D--- 2 0 --
+ edges:
$idx
[1] 0 1 2
$invidx
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
vcount_impl(g)
Output
[1] 4
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
degree_impl(g)
Output
[1] 0 0 0
Code
degree_impl(g, mode = "in")
Output
[1] 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_all_eids_between_impl(g, 1, 2)
Output
+ 0/0 edges:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
wheel_impl(5)
Output
IGRAPH D--- 5 8 --
+ edges:
[1] 1->2 1->3 1->4 1->5 2->3 3->4 4->5 5->2
Code
wheel_impl(5, mode = "in", center = 2)
Output
IGRAPH D--- 5 8 --
+ edges:
[1] 1->3 2->3 4->3 5->3 1->2 2->4 4->5 5->1
Code
x
Condition
Error in `wheel_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : Invalid number of vertices. Invalid vertex ID
Code
hypercube_impl(3)
Output
IGRAPH U--- 8 12 --
+ edges:
[1] 1--2 1--3 1--5 2--4 2--6 3--4 3--7 4--8 5--6 5--7 6--8 7--8
Code
hypercube_impl(3, directed = TRUE)
Output
IGRAPH D--- 8 12 --
+ edges:
[1] 1->2 1->3 1->5 2->4 2->6 3->4 3->7 4->8 5->6 5->7 6->8 7->8
Code
x
Condition
Error in `hypercube_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : The requested hypercube graph dimension (10000) is too high. It must be no greater than 57. Invalid value
Code
square_lattice_impl(c(2, 2))
Output
IGRAPH U--- 4 4 --
+ edges:
[1] 1--2 1--3 2--4 3--4
Code
square_lattice_impl(c(2, 2), nei = 2, directed = TRUE, mutual = TRUE, periodic = c(
TRUE, TRUE))
Output
IGRAPH D--- 4 10 --
+ edges:
[1] 1->2 1->3 2->1 2->4 3->4 3->1 4->3 4->2 1->4 2->3
Code
x
Condition
Error in `square_lattice_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : Invalid dimension vector. Invalid value
Code
triangular_lattice_impl(c(2, 2))
Output
IGRAPH U--- 4 5 --
+ edges:
[1] 1--2 1--4 1--3 2--4 3--4
Code
triangular_lattice_impl(c(2, 2), directed = TRUE, mutual = TRUE)
Output
IGRAPH D--- 4 10 --
+ edges:
[1] 1->2 2->1 1->4 4->1 1->3 3->1 2->4 4->2 3->4 4->3
Code
x
Condition
Error in `triangular_lattice_impl()`:
! At vendor/cigraph/src/constructors/lattices.c:xx : Invalid dimension vector. Invalid value
Code
path_graph_impl(5)
Output
IGRAPH U--- 5 4 --
+ edges:
[1] 1--2 2--3 3--4 4--5
Code
path_graph_impl(5, directed = TRUE, mutual = TRUE)
Output
IGRAPH D--- 5 8 --
+ edges:
[1] 1->2 2->1 2->3 3->2 3->4 4->3 4->5 5->4
Code
x
Condition
Error in `path_graph_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : The number of vertices must be non-negative, got -1. Invalid value
Code
cycle_graph_impl(5)
Output
IGRAPH U--- 5 5 --
+ edges:
[1] 1--2 2--3 3--4 4--5 1--5
Code
cycle_graph_impl(5, directed = TRUE, mutual = TRUE)
Output
IGRAPH D--- 5 10 --
+ edges:
[1] 1->2 2->1 2->3 3->2 3->4 4->3 4->5 5->4 5->1 1->5
Code
x
Condition
Error in `cycle_graph_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : The number of vertices must be non-negative, got -1. Invalid value
Code
symmetric_tree_impl(3)
Output
IGRAPH D--- 4 3 --
+ edges:
[1] 1->2 1->3 1->4
Code
symmetric_tree_impl(3, type = "in")
Output
IGRAPH D--- 4 3 --
+ edges:
[1] 2->1 3->1 4->1
Code
x
Condition
Error in `symmetric_tree_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : The number of branches must be positive at each level. Invalid value
Code
regular_tree_impl(2)
Output
IGRAPH U--- 10 9 --
+ edges:
[1] 1-- 2 1-- 3 1-- 4 2-- 5 2-- 6 3-- 7 3-- 8 4-- 9 4--10
Code
regular_tree_impl(2, k = 4, type = "in")
Output
IGRAPH D--- 17 16 --
+ edges:
[1] 2->1 3->1 4->1 5->1 6->2 7->2 8->2 9->3 10->3 11->3 12->4 13->4
[13] 14->4 15->5 16->5 17->5
Code
x
Condition
Error in `regular_tree_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : Height of regular tree must be positive, got -1. Invalid value
Code
full_citation_impl(5)
Output
IGRAPH D--- 5 10 --
+ edges:
[1] 2->1 3->1 3->2 4->1 4->2 4->3 5->1 5->2 5->3 5->4
Code
full_citation_impl(5, directed = FALSE)
Output
IGRAPH U--- 5 10 --
+ edges:
[1] 1--2 1--3 2--3 1--4 2--4 3--4 1--5 2--5 3--5 4--5
Code
x
Condition
Error in `full_citation_impl()`:
! At vendor/cigraph/src/constructors/full.c:xx : Invalid number of vertices. Invalid value
Code
atlas_impl(0)
Output
IGRAPH U--- 0 0 --
+ edges:
Code
atlas_impl(5)
Output
IGRAPH U--- 3 1 --
+ edge:
[1] 2--3
Code
x
Condition
Error in `atlas_impl()`:
! At vendor/cigraph/src/constructors/atlas.c:xx : No such graph in atlas. The graph index must be less than 1253. Invalid value
Code
extended_chordal_ring_impl(5, matrix(c(1, 2)))
Output
IGRAPH U--- 5 15 --
+ edges:
[1] 1--2 2--3 3--4 4--5 1--5 1--2 1--3 2--3 2--4 3--4 3--5 4--5 1--4 1--5 2--5
Code
extended_chordal_ring_impl(5, matrix(c(1, 2)), directed = TRUE)
Output
IGRAPH D--- 5 15 --
+ edges:
[1] 1->2 2->3 3->4 4->5 5->1 1->2 1->3 2->3 2->4 3->4 3->5 4->5 4->1 5->1 5->2
Code
x
Condition
Error in `extended_chordal_ring_impl()`:
! At vendor/cigraph/src/constructors/regular.c:xx : An extended chordal ring has at least 3 nodes. Invalid value
Code
graph_power_impl(g, 2)
Output
IGRAPH U--- 5 7 --
+ edges:
[1] 1--2 2--3 3--4 4--5 1--3 2--4 3--5
Code
graph_power_impl(g, 2, directed = TRUE)
Output
IGRAPH U--- 5 7 --
+ edges:
[1] 1--2 2--3 3--4 4--5 1--3 2--4 3--5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
linegraph_impl(g)
Output
IGRAPH U--- 4 3 --
+ edges:
[1] 1--2 2--3 3--4
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
de_bruijn_impl(2, 3)
Output
IGRAPH D--- 8 16 --
+ edges:
[1] 1->1 1->2 2->3 2->4 3->5 3->6 4->7 4->8 5->1 5->2 6->3 6->4 7->5 7->6 8->7
[16] 8->8
Code
x
Condition
Error in `de_bruijn_impl()`:
! At vendor/cigraph/src/constructors/de_bruijn.c:xx : `m' and `n' should be non-negative in a de Bruijn graph, Invalid value
Code
kautz_impl(2, 3)
Output
IGRAPH D--- 24 48 --
+ edges:
[1] 1-> 9 1->10 2->11 2->12 3->13 3->14 4->15 4->16 5->17 5->18
[11] 6->19 6->20 7->21 7->22 8->23 8->24 9-> 1 9-> 2 10-> 3 10-> 4
[21] 11-> 5 11-> 6 12-> 7 12-> 8 13->17 13->18 14->19 14->20 15->21 15->22
[31] 16->23 16->24 17-> 1 17-> 2 18-> 3 18-> 4 19-> 5 19-> 6 20-> 7 20-> 8
[41] 21-> 9 21->10 22->11 22->12 23->13 23->14 24->15 24->16
Code
x
Condition
Error in `kautz_impl()`:
! At vendor/cigraph/src/constructors/kautz.c:xx : `m' and `n' should be non-negative in a Kautz graph, Invalid value
Code
lcf_vector_impl(10, c(3, -3, 4), 2)
Output
IGRAPH U--- 10 16 -- LCF graph
+ attr: name (g/c)
+ edges:
[1] 1-- 2 1-- 4 1--10 2-- 3 2-- 5 2-- 9 3-- 4 3-- 7 4-- 5 4-- 7 5-- 6 6-- 7
[13] 6--10 7-- 8 8-- 9 9--10
Code
x
Condition
Error in `lcf_vector_impl()`:
! At vendor/cigraph/src/graph/type_indexededgelist.c:xx : Number of vertices must not be negative. Invalid value
Code
mycielski_graph_impl(3)
Output
IGRAPH U--- 5 5 --
+ edges:
[1] 1--2 1--4 2--3 3--5 4--5
Code
x
Condition
Error in `mycielski_graph_impl()`:
! At vendor/cigraph/src/constructors/mycielskian.c:xx : The Mycielski graph order must not be negative. Invalid value
Code
adjlist_impl(list(c(2, 3), c(1), c(1)), mode = "out")
Output
IGRAPH D--- 3 4 --
+ edges:
[1] 1->2 1->3 2->1 3->1
Code
x
Condition
Error in `adjlist_impl()`:
! At vendor/cigraph/src/constructors/basic_constructors.c:xx : Invalid (negative or too large) vertex ID. Invalid vertex ID
Code
full_bipartite_impl(2, 3)
Output
$graph
IGRAPH U--- 5 6 --
+ edges:
[1] 1--3 1--4 1--5 2--3 2--4 2--5
$types
[1] FALSE FALSE TRUE TRUE TRUE
Code
full_bipartite_impl(2, 3, directed = TRUE, mode = "in")
Output
$graph
IGRAPH D--- 5 6 --
+ edges:
[1] 3->1 4->1 5->1 3->2 4->2 5->2
$types
[1] FALSE FALSE TRUE TRUE TRUE
Code
x
Condition
Error in `full_bipartite_impl()`:
! At vendor/cigraph/src/misc/bipartite.c:xx : Invalid number of vertices for bipartite graph. Invalid value
Code
full_multipartite_impl(c(2, 3, 4))
Output
$graph
IGRAPH U--- 9 26 --
+ edges:
[1] 1--3 1--4 1--5 1--6 1--7 1--8 1--9 2--3 2--4 2--5 2--6 2--7 2--8 2--9 3--6
[16] 3--7 3--8 3--9 4--6 4--7 4--8 4--9 5--6 5--7 5--8 5--9
$types
[1] 1 1 2 2 2 3 3 3 3
Code
full_multipartite_impl(c(2, 3, 4), directed = TRUE, mode = "in")
Output
$graph
IGRAPH D--- 9 26 --
+ edges:
[1] 3->1 4->1 5->1 6->1 7->1 8->1 9->1 3->2 4->2 5->2 6->2 7->2 8->2 9->2 6->3
[16] 7->3 8->3 9->3 6->4 7->4 8->4 9->4 6->5 7->5 8->5 9->5
$types
[1] 1 1 2 2 2 3 3 3 3
Code
x
Condition
Error in `full_multipartite_impl()`:
! At vendor/cigraph/src/constructors/full.c:xx : Number of vertices must not be negative in any partition. Invalid value
Code
realize_degree_sequence_impl(c(2, 2, 2))
Output
IGRAPH U--- 3 3 -- Graph from degree sequence
+ attr: name (g/c), out.deg (g/n), in.deg (g/x), allowed.edge.types
| (g/n), method (g/n)
+ edges:
[1] 2--3 1--3 1--2
Code
realize_degree_sequence_impl(c(2, 2, 2), c(2, 2, 2), allowed.edge.types = "simple",
method = "largest")
Output
IGRAPH D--- 3 6 -- Graph from degree sequence
+ attr: name (g/c), out.deg (g/n), in.deg (g/n), allowed.edge.types
| (g/n), method (g/n)
+ edges:
[1] 1->2 1->3 2->1 2->3 3->1 3->2
Code
x
Condition
Error in `realize_degree_sequence_impl()`:
! At vendor/cigraph/src/misc/degree_sequence.cpp:xx : The sum of degrees must be even for an undirected graph. Invalid value
Code
realize_bipartite_degree_sequence_impl(c(2, 2), c(2, 2))
Output
IGRAPH U--- 4 4 -- Bipartite graph from degree sequence
+ attr: name (g/c), degrees1 (g/n), degrees2 (g/n), allowed.edge.types
| (g/n), method (g/n)
+ edges:
[1] 2--3 2--4 1--4 1--3
Code
realize_bipartite_degree_sequence_impl(c(2, 2), c(2, 2), allowed.edge.types = "loops",
method = "largest")
Output
IGRAPH U--- 4 4 -- Bipartite graph from degree sequence
+ attr: name (g/c), degrees1 (g/n), degrees2 (g/n), allowed.edge.types
| (g/n), method (g/n)
+ edges:
[1] 1--3 1--4 2--3 2--4
Code
x
Condition
Error in `realize_bipartite_degree_sequence_impl()`:
! At vendor/cigraph/src/misc/degree_sequence.cpp:xx : The given bidegree sequence cannot be realized as a bipartite simple graph. Invalid value
Code
circulant_impl(5, c(1, 2))
Output
IGRAPH U--- 5 10 --
+ edges:
[1] 1--2 2--3 3--4 4--5 1--5 1--3 2--4 3--5 1--4 2--5
Code
circulant_impl(5, c(1, 2), directed = TRUE)
Output
IGRAPH D--- 5 10 --
+ edges:
[1] 1->2 2->3 3->4 4->5 5->1 1->3 2->4 3->5 4->1 5->2
Code
x
Condition
Error in `circulant_impl()`:
! At vendor/cigraph/src/constructors/circulant.c:xx : Number of nodes = -1 must be non-negative. Invalid value
Code
generalized_petersen_impl(5, 2)
Output
IGRAPH U--- 10 15 --
+ edges:
[1] 1-- 2 1-- 6 6-- 8 2-- 3 2-- 7 7-- 9 3-- 4 3-- 8 8--10 4-- 5 4-- 9 6-- 9
[13] 1-- 5 5--10 7--10
Code
x
Condition
Error in `generalized_petersen_impl()`:
! At vendor/cigraph/src/constructors/generalized_petersen.c:xx : n = -1 must be at least 3. Invalid value
Code
turan_impl(5, 2)
Output
$graph
IGRAPH U--- 5 6 --
+ edges:
[1] 1--4 1--5 2--4 2--5 3--4 3--5
$types
[1] 1 1 1 2 2
Code
x
Condition
Error in `turan_impl()`:
! At vendor/cigraph/src/constructors/full.c:xx : Number of vertices must not be negative, got -1. Invalid value
Code
erdos_renyi_game_gnp_impl(5, 0.5)
Output
IGRAPH U--- 5 7 --
+ edges:
[1] 1--2 1--3 2--3 1--4 2--4 1--5 4--5
Code
erdos_renyi_game_gnp_impl(5, 0.5, directed = TRUE, loops = TRUE)
Output
IGRAPH D--- 5 12 --
+ edges:
[1] 2->1 3->1 4->1 2->2 1->3 2->3 4->3 1->4 2->4 5->4 3->5 4->5
Code
x
Condition
Error in `erdos_renyi_game_gnp_impl()`:
! At vendor/cigraph/src/games/erdos_renyi.c:xx : Invalid number of vertices. Invalid value
Code
erdos_renyi_game_gnm_impl(5, 3)
Output
IGRAPH U--- 5 3 --
+ edges:
[1] 3--4 2--5 4--5
Code
erdos_renyi_game_gnm_impl(5, 3, directed = TRUE, loops = TRUE)
Output
IGRAPH D--- 5 3 --
+ edges:
[1] 4->3 5->3 3->5
Code
x
Condition
Error in `erdos_renyi_game_gnm_impl()`:
! At vendor/cigraph/src/games/erdos_renyi.c:xx : Invalid number of vertices. Invalid value
Code
growing_random_game_impl(5, 2)
Output
IGRAPH D--- 5 8 -- Growing random graph
+ attr: name (g/c), m (g/n), citation (g/l)
+ edges:
[1] 2->2 1->2 3->3 3->3 3->3 1->2 2->2 5->4
Code
growing_random_game_impl(5, 2, directed = FALSE, citation = TRUE)
Output
IGRAPH U--- 5 8 -- Growing random graph
+ attr: name (g/c), m (g/n), citation (g/l)
+ edges:
[1] 1--2 1--2 2--3 1--3 1--4 2--4 1--5 4--5
Code
x
Condition
Error in `growing_random_game_impl()`:
! At vendor/cigraph/src/games/growing_random.c:xx : Invalid number of vertices. Invalid value
Code
preference_game_impl(5, 2, c(0.5, 0.5), FALSE, matrix(c(0.5, 0.5, 0.5, 0.5), 2,
2))
Output
$graph
IGRAPH U--- 5 4 --
+ edges:
[1] 1--3 3--4 1--4 1--5
$node_type_vec
[1] 1 0 0 1 1
Code
x
Condition
Error in `preference_game_impl()`:
! At vendor/cigraph/src/games/preference.c:xx : The number of vertices must be non-negative. Invalid value
Code
asymmetric_preference_game_impl(5, 2, 2, matrix(c(0.5, 0.5, 0.5, 0.5), 2, 2),
matrix(c(0.5, 0.5, 0.5, 0.5), 2, 2))
Output
$graph
IGRAPH D--- 5 9 --
+ edges:
[1] 2->4 4->2 5->2 1->3 4->3 4->5 3->1 1->4 1->5
$node_type_out_vec
[1] 1 0 1 1 1
$node_type_in_vec
[1] 1 0 0 1 1
Code
x
Condition
Error in `asymmetric_preference_game_impl()`:
! At vendor/cigraph/src/games/preference.c:xx : The number of vertices must not be negative. Invalid value
Code
rewire_edges_impl(g, 0.5)
Output
IGRAPH U--- 5 4 --
+ edges:
[1] 2--4 3--4 1--3 2--5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
rewire_directed_edges_impl(g, 0.5)
Output
IGRAPH D--- 5 4 --
+ edges:
[1] 1->4 2->3 3->2 4->5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
forest_fire_game_impl(5, 0.5)
Output
IGRAPH D--- 5 9 -- Forest fire model
+ attr: name (g/c), fw.prob (g/n), bw.factor (g/n), ambs (g/n)
+ edges:
[1] 2->1 3->2 4->2 4->1 4->3 5->1 5->2 5->4 5->3
Code
forest_fire_game_impl(5, 0.5, bw.factor = 0.2, ambs = 2, directed = FALSE)
Output
IGRAPH U--- 5 4 -- Forest fire model
+ attr: name (g/c), fw.prob (g/n), bw.factor (g/n), ambs (g/n)
+ edges:
[1] 1--2 1--3 1--4 4--5
Code
x
Condition
Error in `forest_fire_game_impl()`:
! At vendor/cigraph/src/games/forestfire.c:xx : Insufficient memory for forest fire model. Out of memory
Code
simple_interconnected_islands_game_impl(2, 3, 0.5, 1)
Output
IGRAPH U--- 6 5 -- Interconnected islands model
+ attr: name (g/c), islands.n (g/n), islands.size (g/n), islands.pin
| (g/n), n.inter (g/n)
+ edges:
[1] 1--2 1--3 2--3 3--6 5--6
Code
x
Condition
Error in `simple_interconnected_islands_game_impl()`:
! At vendor/cigraph/src/games/islands.c:xx : Number of islands cannot be negative, got -1. Invalid value
Code
chung_lu_game_impl(c(2, 2, 2))
Output
IGRAPH U--- 3 5 -- Chung-Lu model
+ attr: name (g/c), variant (g/n)
+ edges:
[1] 1--2 1--3 2--2 2--3 3--3
Code
chung_lu_game_impl(c(1, 2, 3), c(1, 2, 3), loops = FALSE, variant = "maxent")
Output
IGRAPH D--- 3 1 -- Chung-Lu model
+ attr: name (g/c), variant (g/n)
+ edge:
[1] 3->1
Code
x
Condition
Error in `chung_lu_game_impl()`:
! At vendor/cigraph/src/games/chung_lu.c:xx : Vertex weights must not be negative in Chung-Lu model, got -1. Invalid value
Code
static_fitness_game_impl(3, c(1, 2, 3))
Output
IGRAPH U--- 3 3 -- Static fitness model
+ attr: name (g/c), loops (g/l), multiple (g/l)
+ edges:
[1] 1--2 1--3 2--3
Code
static_fitness_game_impl(3, c(1, 2, 3), c(1, 2, 3), loops = TRUE, multiple = TRUE)
Output
IGRAPH D--- 3 3 -- Static fitness model
+ attr: name (g/c), loops (g/l), multiple (g/l)
+ edges:
[1] 1->2 2->3 1->3
Code
x
Condition
Error in `static_fitness_game_impl()`:
! At vendor/cigraph/src/games/static_fitness.c:xx : Number of edges cannot be negative, got -1. Invalid value
Code
static_power_law_game_impl(5, 4, 2.5)
Output
IGRAPH U--- 5 4 -- Static power law model
+ attr: name (g/c), exponent.out (g/n), exponent.in (g/n), loops (g/l),
| multiple (g/l), finite.size.correction (g/l)
+ edges:
[1] 1--5 2--4 3--5 4--5
Code
static_power_law_game_impl(5, 4, 2.5, exponent.in = 2, loops = TRUE, multiple = TRUE,
finite.size.correction = FALSE)
Output
IGRAPH D--- 5 4 -- Static power law model
+ attr: name (g/c), exponent.out (g/n), exponent.in (g/n), loops (g/l),
| multiple (g/l), finite.size.correction (g/l)
+ edges:
[1] 1->1 3->5 1->4 5->1
Code
x
Condition
Error in `static_power_law_game_impl()`:
! At vendor/cigraph/src/games/static_fitness.c:xx : Number of nodes cannot be negative, got -1. Invalid value
Code
k_regular_game_impl(5, 2)
Output
IGRAPH U--- 5 5 -- k-regular graph
+ attr: name (g/c), k (g/n)
+ edges:
[1] 1--3 1--5 2--3 2--4 4--5
Code
k_regular_game_impl(5, 2, directed = TRUE, multiple = TRUE)
Output
IGRAPH D--- 5 10 -- k-regular graph
+ attr: name (g/c), k (g/n)
+ edges:
[1] 3->4 3->3 2->1 5->5 1->5 4->3 5->2 4->1 1->2 2->4
Code
x
Condition
Error in `k_regular_game_impl()`:
! At vendor/cigraph/src/games/k_regular.c:xx : Number of nodes must be non-negative. Invalid value
Code
sbm_game_impl(5, matrix(0.5, 2, 2), c(2, 3))
Output
IGRAPH U--- 5 6 -- Stochastic block model
+ attr: name (g/c), loops (g/l)
+ edges:
[1] 1--2 1--3 2--3 1--4 1--5 3--5
Code
sbm_game_impl(5, matrix(0.5, 2, 2), c(2, 3), directed = TRUE, loops = TRUE)
Output
IGRAPH D--- 5 14 -- Stochastic block model
+ attr: name (g/c), loops (g/l)
+ edges:
[1] 1->1 2->1 2->4 1->5 4->1 5->1 5->2 3->3 5->3 3->4 4->4 5->4 3->5 5->5
Code
x
Condition
Error in `sbm_game_impl()`:
! At vendor/cigraph/src/games/sbm.c:xx : Sum of the block sizes (5) must equal the number of vertices (-1). Invalid value
Code
hsbm_game_impl(6, 2, c(0.5, 0.5), matrix(1, 2, 2), 0.5)
Output
IGRAPH U--- 6 9 -- Hierarchical stochastic block model
+ attr: name (g/c), m (g/n), rho (g/n), C (g/n), p (g/n)
+ edges:
[1] 1--2 3--4 5--6 1--4 1--5 2--5 1--6 4--5 3--6
Code
x
Condition
Error in `hsbm_game_impl()`:
! At vendor/cigraph/src/games/sbm.c:xx : `n' must be positive for HSBM, Invalid value
Code
hsbm_list_game_impl(100, list(50, 50), rho = list(c(3, 3, 4) / 10), C = list(C),
p = 1 / 20)
Output
IGRAPH U--- 100 783 -- Hierarchical stochastic block model
+ attr: name (g/c), p (g/n)
+ edges:
[1] 1-- 2 1-- 3 2-- 3 1-- 4 2-- 4 3-- 4 1-- 5 2-- 5 3-- 5 4-- 5
[11] 1-- 6 2-- 6 3-- 6 4-- 6 5-- 6 1-- 7 2-- 7 3-- 7 4-- 7 5-- 7
[21] 6-- 7 1-- 8 2-- 8 3-- 8 4-- 8 5-- 8 6-- 8 7-- 8 1-- 9 2-- 9
[31] 3-- 9 4-- 9 5-- 9 6-- 9 7-- 9 8-- 9 1--10 2--10 3--10 4--10
[41] 5--10 6--10 7--10 8--10 9--10 1--11 2--11 3--11 4--11 5--11
[51] 6--11 7--11 8--11 9--11 10--11 1--12 2--12 3--12 4--12 5--12
[61] 6--12 7--12 8--12 9--12 10--12 11--12 1--13 2--13 3--13 4--13
[71] 5--13 6--13 7--13 8--13 9--13 10--13 11--13 12--13 1--14 2--14
+ ... omitted several edges
Code
x
Condition
Error in `hsbm_list_game_impl()`:
! At vendor/cigraph/src/games/sbm.c:xx : `n' must be positive for HSBM. Invalid value
Code
correlated_game_impl(g, 0.5)
Output
IGRAPH U--- 5 3 -- Correlated random graph
+ attr: name (g/c), corr (g/n), p (g/n)
+ edges:
[1] 1--3 3--4 2--5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
correlated_pair_game_impl(5, 0.5, 0.5)
Output
$graph1
IGRAPH U--- 5 7 --
+ edges:
[1] 1--2 1--3 2--3 1--4 2--4 1--5 4--5
$graph2
IGRAPH U--- 5 7 --
+ edges:
[1] 1--2 1--3 2--3 1--4 2--4 1--5 3--5
Code
correlated_pair_game_impl(5, 0.5, 0.5, directed = TRUE)
Output
$graph1
IGRAPH D--- 5 10 --
+ edges:
[1] 4->1 5->1 2->5 4->2 5->2 3->5 1->4 2->4 4->5 5->4
$graph2
IGRAPH D--- 5 9 --
+ edges:
[1] 1->5 2->1 2->5 4->2 4->3 1->4 2->4 4->5 5->4
Code
x
Condition
Error in `correlated_pair_game_impl()`:
! At vendor/cigraph/src/games/erdos_renyi.c:xx : Invalid number of vertices. Invalid value
Code
dot_product_game_impl(matrix(0.5, 5, 2))
Condition
Warning in `dot_product_game_impl()`:
At vendor/cigraph/src/games/dotproduct.c:90 : Greater than 1 connection probability in dot-product graph.
Output
IGRAPH U--- 2 1 --
+ edge:
[1] 1--2
Code
dot_product_game_impl(matrix(0.5, 5, 2), directed = TRUE)
Condition
Warning in `dot_product_game_impl()`:
At vendor/cigraph/src/games/dotproduct.c:90 : Greater than 1 connection probability in dot-product graph.
Output
IGRAPH D--- 2 2 --
+ edges:
[1] 1->2 2->1
Code
x
Condition
Error in `dot_product_game_impl()`:
! REAL() can only be applied to a 'numeric', not a 'NULL'
Code
sample_sphere_surface_impl(3, 5)
Output
[,1] [,2] [,3] [,4] [,5]
[1,] 0.87877523 0.8206548 0.1430028 0.6349227 0.99933629
[2,] 0.05165973 0.5261159 0.1145481 0.2979741 0.02649327
[3,] 0.47443162 0.2229974 0.9830712 0.7128005 0.02500179
Code
sample_sphere_surface_impl(3, 5, radius = 2, positive = FALSE)
Output
[,1] [,2] [,3] [,4] [,5]
[1,] -0.4904253 -1.4825368 -0.5141332 1.95644246 0.369407
[2,] -1.6787252 1.1329528 -0.7872709 -0.41498660 1.953509
[3,] -0.9702395 0.7200713 1.7651832 -0.01090904 0.217584
Code
x
Condition
Error in `sample_sphere_surface_impl()`:
! At vendor/cigraph/src/games/dotproduct.c:xx : Sphere must be at least two dimensional to sample from surface. Invalid value
Code
sample_sphere_volume_impl(3, 5)
Output
[,1] [,2] [,3] [,4] [,5]
[1,] 0.67165090 0.6105364 0.09806950 0.4132698 0.73325518
[2,] 0.03948371 0.3914105 0.07855561 0.1939507 0.01943923
[3,] 0.36260970 0.1659017 0.67417787 0.4639603 0.01834487
Code
sample_sphere_volume_impl(3, 5, radius = 2, positive = FALSE)
Output
[,1] [,2] [,3] [,4] [,5]
[1,] 1.903629152 -1.3795904 -1.2061886 0.9035986 -1.1692436
[2,] -0.159619927 0.2402815 -0.1258477 0.1842403 -1.4940836
[3,] 0.003829883 1.2440192 0.6204597 1.5776103 0.4096058
Code
x
Condition
Error in `sample_sphere_volume_impl()`:
! At vendor/cigraph/src/games/dotproduct.c:xx : Sphere must be at least two dimensional to sample from surface. Invalid value
Code
sample_dirichlet_impl(5, c(1, 1, 1))
Output
[,1] [,2] [,3] [,4] [,5]
[1,] 0.6298008 0.4168413 0.29594281 0.2432340 0.1516815
[2,] 0.1093984 0.3461600 0.08924333 0.4251328 0.3561426
[3,] 0.2608008 0.2369988 0.61481386 0.3316331 0.4921759
Code
x
Condition
Error in `sample_dirichlet_impl()`:
! At vendor/cigraph/src/games/dotproduct.c:xx : Number of samples should be non-negative, got -1. Invalid value
Code
are_adjacent_impl(g, 1, 2)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
closeness_impl(g)
Output
$res
[1] 0.3333333 0.5000000 0.3333333
$reachable_count
[1] 2 2 2
$all_reachable
[1] TRUE
Code
closeness_impl(g, mode = "in", normalized = TRUE)
Output
$res
[1] 0.6666667 1.0000000 0.6666667
$reachable_count
[1] 2 2 2
$all_reachable
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
closeness_cutoff_impl(g, cutoff = 2)
Output
$res
[1] 0.3333333 0.5000000 0.3333333
$reachable_count
[1] 2 2 2
$all_reachable
[1] TRUE
Code
closeness_cutoff_impl(g, mode = "in", normalized = TRUE, cutoff = 1)
Output
$res
[1] 1 1 1
$reachable_count
[1] 1 2 1
$all_reachable
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_shortest_path_impl(g, 1, 3)
Output
$vertices
+ 3/3 vertices:
[1] 1 2 3
$edges
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_shortest_path_bellman_ford_impl(g, 1, 3)
Output
$vertices
+ 3/3 vertices:
[1] 1 2 3
$edges
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_shortest_path_dijkstra_impl(g, 1, 3)
Output
$vertices
+ 3/3 vertices:
[1] 1 2 3
$edges
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_all_shortest_paths_impl(g, 1, 3)
Output
$vpaths
$vpaths[[1]]
+ 3/3 vertices:
[1] 1 2 3
$epaths
$epaths[[1]]
+ 2/2 edges:
[1] 1--2 2--3
$nrgeo
[1] 1 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_all_shortest_paths_dijkstra_impl(g, 1, 3)
Output
$vpaths
$vpaths[[1]]
+ 3/3 vertices:
[1] 1 2 3
$epaths
$epaths[[1]]
+ 2/2 edges:
[1] 1--2 2--3
$nrgeo
[1] 1 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
voronoi_impl(g, 1)
Output
$membership
[1] 0 0 0
$distances
[1] 0 1 2
Code
voronoi_impl(g, 1, mode = "in", tiebreaker = "first")
Output
$membership
[1] 0 0 0
$distances
[1] 0 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_all_simple_paths_impl(g, 1, 3)
Output
+ 3/3 vertices:
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_k_shortest_paths_impl(g, 1, 3, k = 2)
Output
$vpaths
$vpaths[[1]]
+ 3/3 vertices:
[1] 1 2 3
$epaths
$epaths[[1]]
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_widest_path_impl(g, 1, 3, weights = c(1, 2))
Output
$vertices
+ 3/3 vertices:
[1] 1 2 3
$edges
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_widest_paths_impl(g, 1, 3, weights = c(1, 2))
Output
$vertices
$vertices[[1]]
+ 3/3 vertices:
[1] 1 2 3
$edges
$edges[[1]]
+ 2/2 edges:
[1] 1--2 2--3
$parents
[1] -1 0 1
$inbound_edges
[1] -1 0 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
spanner_impl(g, 2)
Output
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
betweenness_cutoff_impl(g, cutoff = 2)
Output
[1] 0 1 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
betweenness_subset_impl(g)
Output
[1] 0 1 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
edge_betweenness_impl(g)
Output
[1] 2 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
edge_betweenness_cutoff_impl(g, cutoff = 2)
Output
[1] 2 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
edge_betweenness_subset_impl(g)
Output
[1] 2 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
harmonic_centrality_cutoff_impl(g, cutoff = 2)
Output
[1] 1.5 2.0 1.5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
personalized_pagerank_impl(g)
Output
$vector
[1] 0.2567568 0.4864865 0.2567568
$value
[1] 1
$options
NULL
Code
personalized_pagerank_impl(g, algo = "arpack", damping = 0.9)
Output
$vector
[1] 0.2543860 0.4912281 0.2543860
$value
[1] 1
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LR"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
personalized_pagerank_vs_impl(g, reset.vids = 1)
Output
[1] 0.3452703 0.4594595 0.1952703
Code
personalized_pagerank_vs_impl(g, algo = "arpack", reset.vids = 1, details = TRUE)
Output
$vector
[1] 0.3452703 0.4594595 0.1952703
$value
[1] 1
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LR"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
induced_subgraph_impl(g, 1:2)
Output
IGRAPH U--- 2 1 --
+ edge:
[1] 1--2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
subgraph_from_edges_impl(g, 1)
Output
IGRAPH U--- 2 1 --
+ edge:
[1] 1--2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
reverse_edges_impl(g)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
path_length_hist_impl(g)
Output
$res
[1] 2 1
$unconnected
[1] 0
Code
path_length_hist_impl(g, directed = FALSE)
Output
$res
[1] 2 1
$unconnected
[1] 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
simplify_impl(g)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
Code
simplify_impl(g, remove.multiple = FALSE, remove.loops = FALSE)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
transitivity_undirected_impl(g)
Output
[1] 0
Code
transitivity_undirected_impl(g, mode = "zero")
Output
[1] 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
transitivity_local_undirected_impl(g)
Output
[1] NaN 0 NaN
Code
transitivity_local_undirected_impl(g, mode = "zero")
Output
[1] 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
transitivity_avglocal_undirected_impl(g)
Output
[1] 0
Code
transitivity_avglocal_undirected_impl(g, mode = "zero")
Output
[1] 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
transitivity_barrat_impl(g)
Condition
Warning in `transitivity_barrat_impl()`:
At vendor/cigraph/src/properties/triangles.c:913 : No weights given for Barrat's transitivity, unweighted version is used.
Output
[1] NaN 0 NaN
Code
transitivity_barrat_impl(g, mode = "zero")
Condition
Warning in `transitivity_barrat_impl()`:
At vendor/cigraph/src/properties/triangles.c:913 : No weights given for Barrat's transitivity, unweighted version is used.
Output
[1] 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
ecc_impl(g)
Output
[1] NaN 0 NaN
Code
ecc_impl(g, k = 3, offset = TRUE, normalize = FALSE)
Output
[1] 1 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
reciprocity_impl(g)
Output
[1] 1
Code
reciprocity_impl(g, ignore.loops = FALSE, mode = "ratio")
Output
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
maxdegree_impl(g)
Output
[1] 2
Code
maxdegree_impl(g, mode = "in", loops = FALSE)
Output
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
density_impl(g)
Output
[1] 0.6666667
Code
density_impl(g, loops = TRUE)
Output
[1] 0.3333333
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
mean_degree_impl(g)
Output
[1] 1.333333
Code
mean_degree_impl(g, loops = FALSE)
Output
[1] 1.333333
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
feedback_arc_set_impl(g)
Output
+ 0/2 edges:
Code
feedback_arc_set_impl(g, algo = "exact_ip")
Output
+ 0/2 edges:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
feedback_vertex_set_impl(g)
Output
+ 0/3 vertices:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_loop_impl(g)
Output
[1] FALSE FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_dag_impl(g)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_acyclic_impl(g)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_simple_impl(g)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_multiple_impl(g)
Output
[1] FALSE FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
has_loop_impl(g)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
has_multiple_impl(g)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_loops_impl(g)
Output
[1] 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_multiple_impl(g)
Output
[1] 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_perfect_impl(g)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
eigenvector_centrality_impl(g)
Output
$vector
[1] 0.7071068 1.0000000 0.7071068
$value
[1] 1.414214
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
Code
eigenvector_centrality_impl(g, directed = TRUE, scale = FALSE)
Output
$vector
[1] 0.5000000 0.7071068 0.5000000
$value
[1] 1.414214
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
hub_and_authority_scores_impl(g)
Output
$hub
[1] 1 1 1 1 1
$authority
[1] 1 1 1 1 1
$value
[1] 16
$options
$options$bmat
[1] "I"
$options$n
[1] 5
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 4
$options$numopb
[1] 0
$options$numreo
[1] 4
Code
hub_and_authority_scores_impl(g, scale = FALSE)
Output
$hub
[1] 0.4472136 0.4472136 0.4472136 0.4472136 0.4472136
$authority
[1] 0.4472136 0.4472136 0.4472136 0.4472136 0.4472136
$value
[1] 16
$options
$options$bmat
[1] "I"
$options$n
[1] 5
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 4
$options$numopb
[1] 0
$options$numreo
[1] 4
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
unfold_tree_impl(g, roots = 1)
Output
$tree
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$vertex_index
[1] 1 2 3
Code
unfold_tree_impl(g, mode = "in", roots = 1)
Output
$tree
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$vertex_index
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_mutual_impl(g)
Output
[1] TRUE TRUE
Code
is_mutual_impl(g, loops = FALSE)
Output
[1] TRUE TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
has_mutual_impl(g)
Output
[1] TRUE
Code
has_mutual_impl(g, loops = FALSE)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
maximum_cardinality_search_impl(g)
Output
$alpha
[1] 3 2 1
$alpham1
+ 3/3 vertices:
[1] 3 2 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
avg_nearest_neighbor_degree_impl(g)
Output
$knn
[1] 2 1 2
$knnk
[1] 2 1
Code
avg_nearest_neighbor_degree_impl(g, mode = "in", neighbor.degree.mode = "out")
Output
$knn
[1] 2 1 2
$knnk
[1] 2 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
degree_correlation_vector_impl(g)
Output
[1] NaN 2 1
Code
degree_correlation_vector_impl(g, from.mode = "in", to.mode = "out",
directed.neighbors = FALSE)
Output
[1] NaN 2 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
rich_club_sequence_impl(g, vertex.order = 1:3)
Output
[1] 0.6666667 1.0000000 NaN
Code
rich_club_sequence_impl(g, vertex.order = 1:3, normalized = FALSE, loops = TRUE,
directed = FALSE)
Output
[1] 2 1 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
strength_impl(g)
Output
[1] 1 2 1
Code
strength_impl(g, mode = "in", loops = FALSE)
Output
[1] 1 2 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
centralization_impl(c(1, 2, 3))
Output
[1] Inf
Code
centralization_impl(c(1, 2, 3), theoretical.max = 2, normalized = FALSE)
Output
[1] 3
Code
x
Condition
Error in `centralization_impl()`:
! 'list' object cannot be coerced to type 'double'
Code
centralization_degree_impl(g)
Output
$res
[1] 1 2 1
$centralization
[1] 0.3333333
$theoretical_max
[1] 6
Code
centralization_degree_impl(g, mode = "in", loops = FALSE, normalized = FALSE)
Output
$res
[1] 1 2 1
$centralization
[1] 2
$theoretical_max
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
centralization_degree_tmax_impl(nodes = 3, loops = TRUE)
Output
[1] 6
Code
centralization_degree_tmax_impl(nodes = 3, mode = "in", loops = FALSE)
Output
[1] 4
Code
x
Condition
Error in `centralization_degree_tmax_impl()`:
! At vendor/cigraph/src/centrality/centralization.c:xx : Number of vertices must not be negative. Invalid value
Code
centralization_betweenness_impl(g)
Output
$res
[1] 0 1 0
$centralization
[1] 1
$theoretical_max
[1] 2
Code
centralization_betweenness_impl(g, directed = FALSE, normalized = FALSE)
Output
$res
[1] 0 1 0
$centralization
[1] 2
$theoretical_max
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
centralization_betweenness_tmax_impl(nodes = 3, directed = TRUE)
Output
[1] 4
Code
centralization_betweenness_tmax_impl(nodes = 3, directed = FALSE)
Output
[1] 2
Code
x
Condition
Error in `centralization_betweenness_tmax_impl()`:
! At vendor/cigraph/src/centrality/centralization.c:xx : Number of vertices must not be negative. Invalid value
Code
centralization_closeness_impl(g)
Output
$res
[1] 0.6666667 1.0000000 0.6666667
$centralization
[1] 1
$theoretical_max
[1] 0.6666667
Code
centralization_closeness_impl(g, mode = "in", normalized = FALSE)
Output
$res
[1] 0.6666667 1.0000000 0.6666667
$centralization
[1] 0.6666667
$theoretical_max
[1] 0.6666667
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
centralization_closeness_tmax_impl(nodes = 3)
Output
[1] 1.333333
Code
centralization_closeness_tmax_impl(nodes = 3, mode = "in")
Output
[1] 1.333333
Code
x
Condition
Error in `centralization_closeness_tmax_impl()`:
! At vendor/cigraph/src/centrality/centralization.c:xx : Number of vertices must not be negative. Invalid value
Code
centralization_eigenvector_centrality_impl(g)
Output
$vector
[1] 0.7071068 1.0000000 0.7071068
$value
[1] 1.414214
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
$centralization
[1] 0.5857864
$theoretical_max
[1] 1
Code
centralization_eigenvector_centrality_impl(g, directed = TRUE, normalized = FALSE)
Output
$vector
[1] 0.7071068 1.0000000 0.7071068
$value
[1] 1.414214
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 1
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
$centralization
[1] 0.5857864
$theoretical_max
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
centralization_eigenvector_centrality_tmax_impl(nodes = 3)
Output
[1] 1
Code
centralization_eigenvector_centrality_tmax_impl(nodes = 3, directed = TRUE)
Output
[1] 2
Code
x
Condition
Error in `centralization_eigenvector_centrality_tmax_impl()`:
! At vendor/cigraph/src/centrality/centralization.c:xx : Number of vertices must not be negative. Invalid value
Code
assortativity_nominal_impl(g, c(1, 2, 1))
Output
[1] -1
Code
assortativity_nominal_impl(g, c(1, 2, 1), directed = FALSE, normalized = FALSE)
Output
[1] -0.5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
assortativity_impl(g, c(1, 2, 1))
Output
[1] -1
Code
assortativity_impl(g, c(1, 2, 1), directed = FALSE, normalized = FALSE)
Output
[1] -0.25
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
assortativity_degree_impl(g)
Output
[1] -1
Code
assortativity_degree_impl(g, directed = FALSE)
Output
[1] -1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
joint_degree_matrix_impl(g)
Output
[,1] [,2]
[1,] 0 2
[2,] 2 0
Code
joint_degree_matrix_impl(g, max.out.degree = 2, max.in.degree = 2)
Output
[,1] [,2]
[1,] 0 2
[2,] 2 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
joint_degree_distribution_impl(g)
Output
[,1] [,2] [,3]
[1,] 0 0.0 0.0
[2,] 0 0.0 0.5
[3,] 0 0.5 0.0
Code
joint_degree_distribution_impl(g, from.mode = "in", to.mode = "out",
directed.neighbors = FALSE, normalized = FALSE, max.from.degree = 2,
max.to.degree = 2)
Output
[,1] [,2] [,3]
[1,] 0 0 0
[2,] 0 0 2
[3,] 0 2 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
joint_type_distribution_impl(g, from.types = c(1, 2, 1))
Output
[,1] [,2]
[1,] 0.0 0.5
[2,] 0.5 0.0
Code
joint_type_distribution_impl(g, from.types = c(1, 2, 1), to.types = c(1, 2, 1),
directed = FALSE, normalized = FALSE)
Output
[,1] [,2]
[1,] 0 2
[2,] 2 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
contract_vertices_impl(g, c(1, 1, 2))
Output
IGRAPH U--- 2 2 --
+ edges:
[1] 1--1 1--2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
eccentricity_dijkstra_impl(g)
Output
[1] 2 1 2
Code
eccentricity_dijkstra_impl(g, mode = "in")
Output
[1] 2 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
graph_center_dijkstra_impl(g)
Output
+ 1/3 vertex:
[1] 2
Code
graph_center_dijkstra_impl(g, mode = "in")
Output
+ 1/3 vertex:
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
radius_dijkstra_impl(g)
Output
[1] 1
Code
radius_dijkstra_impl(g, mode = "in")
Output
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
pseudo_diameter_impl(g, 1)
Output
$diameter
[1] 2
$from
[1] 0
$to
[1] 2
Code
pseudo_diameter_impl(g, 1, directed = FALSE, unconnected = FALSE)
Output
$diameter
[1] 2
$from
[1] 0
$to
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
pseudo_diameter_dijkstra_impl(g, start.vid = 1)
Output
$diameter
[1] 2
$from
[1] 0
$to
[1] 2
Code
pseudo_diameter_dijkstra_impl(g, start.vid = 1, directed = FALSE, unconnected = FALSE)
Output
$diameter
[1] 2
$from
[1] 0
$to
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
diversity_impl(g)
Output
[1] 0.0000000 0.9182958 0.0000000
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
random_walk_impl(g, 1, 2)
Output
$vertices
+ 3/3 vertices:
[1] 1 2 3
$edges
+ 2/2 edges:
[1] 1--2 2--3
Code
random_walk_impl(g, 1, 2, mode = "in", stuck = "error")
Output
$vertices
+ 3/3 vertices:
[1] 1 2 1
$edges
+ 2/2 edges:
[1] 1--2 1--2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
global_efficiency_impl(g)
Output
[1] 0.8333333
Code
global_efficiency_impl(g, directed = FALSE)
Output
[1] 0.8333333
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_efficiency_impl(g)
Output
[1] 0 0 0
Code
local_efficiency_impl(g, directed = FALSE, mode = "in")
Output
[1] 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
average_local_efficiency_impl(g)
Output
[1] 0
Code
average_local_efficiency_impl(g, directed = FALSE, mode = "in")
Output
[1] 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
transitive_closure_dag_impl(g)
Output
IGRAPH D--- 3 3 --
+ edges:
[1] 1->3 1->2 2->3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
transitive_closure_impl(g)
Output
IGRAPH U--- 3 3 --
+ edges:
[1] 1--2 1--3 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
trussness_impl(g)
Output
[1] 2 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_graphical_impl(c(2, 2, 2))
Output
[1] TRUE
Code
is_graphical_impl(c(2, 2, 2), c(1, 1, 1), allowed.edge.types = "all")
Output
[1] FALSE
Code
x
Condition
Warning in `is_graphical_impl()`:
NAs introduced by coercion
Error in `is_graphical_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
bfs_simple_impl(g, 1)
Output
$order
+ 3/3 vertices:
[1] 1 2 3
$layers
[1] 0 1 2 3
$parents
[1] -1 0 1
Code
bfs_simple_impl(g, 1, mode = "in")
Output
$order
+ 3/3 vertices:
[1] 1 2 3
$layers
[1] 0 1 2 3
$parents
[1] -1 0 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
bipartite_projection_size_impl(g)
Output
$vcount1
[1] 2
$ecount1
[1] 1
$vcount2
[1] 2
$ecount2
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
biadjacency_impl(m)
Output
$graph
IGRAPH U--- 5 4 --
+ edges:
[1] 1--3 1--4 1--5 2--5
$types
[1] FALSE FALSE TRUE TRUE TRUE
Code
biadjacency_impl(m, directed = TRUE, mode = "in", multiple = TRUE)
Output
$graph
IGRAPH D--- 5 4 --
+ edges:
[1] 3->1 4->1 5->1 5->2
$types
[1] FALSE FALSE TRUE TRUE TRUE
Code
x
Condition
Warning in `biadjacency_impl()`:
NAs introduced by coercion
Error in `biadjacency_impl()`:
! REAL() can only be applied to a 'numeric', not a 'character'
Code
get_biadjacency_impl(g, c(TRUE, FALSE, TRUE))
Output
$res
[,1] [,2]
[1,] 1 1
$row_ids
[1] 2
$col_ids
[1] 1 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_bipartite_impl(g)
Output
$res
[1] TRUE
$type
[1] FALSE TRUE FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
bipartite_game_gnp_impl(2, 2, 0.5)
Output
$graph
IGRAPH U--- 4 4 --
+ edges:
[1] 1--3 2--3 1--4 2--4
$types
[1] FALSE FALSE TRUE TRUE
Code
bipartite_game_gnp_impl(2, 2, 0.5, directed = TRUE, mode = "in")
Output
$graph
IGRAPH D--- 4 1 --
+ edge:
[1] 3->2
$types
[1] FALSE FALSE TRUE TRUE
Code
x
Condition
Error in `bipartite_game_gnp_impl()`:
! At vendor/cigraph/src/misc/bipartite.c:xx : Invalid number of vertices for bipartite graph. Invalid value
Code
bipartite_game_gnm_impl(2, 2, 1)
Output
$graph
IGRAPH U--- 4 1 --
+ edge:
[1] 2--4
$types
[1] FALSE FALSE TRUE TRUE
Code
bipartite_game_gnm_impl(2, 2, 1, directed = TRUE, mode = "in")
Output
$graph
IGRAPH D--- 4 1 --
+ edge:
[1] 3->1
$types
[1] FALSE FALSE TRUE TRUE
Code
x
Condition
Error in `bipartite_game_gnm_impl()`:
! At vendor/cigraph/src/misc/bipartite.c:xx : Invalid number of vertices for bipartite graph. Invalid value
Code
get_laplacian_impl(g)
Output
[,1] [,2] [,3]
[1,] 1 -1 0
[2,] -1 2 -1
[3,] 0 -1 1
Code
get_laplacian_impl(g, mode = "in", normalization = "symmetric", weights = c(1,
2))
Output
[,1] [,2] [,3]
[1,] 1.0000000 -0.5773503 0.0000000
[2,] -0.5773503 1.0000000 -0.8164966
[3,] 0.0000000 -0.8164966 1.0000000
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_laplacian_sparse_impl(g)
Output
$type
[1] "triplet"
$dim
[1] 3 3
$p
[1] 0 1 2 0 1 1 2
$i
[1] 0 1 2 1 0 2 1
$x
[1] 1 2 1 -1 -1 -1 -1
attr(,"class")
[1] "igraph.tmp.sparse"
Code
get_laplacian_sparse_impl(g, mode = "in", normalization = "symmetric", weights = c(
1, 2))
Output
$type
[1] "triplet"
$dim
[1] 3 3
$p
[1] 0 1 2 0 1 1 2
$i
[1] 0 1 2 1 0 2 1
$x
[1] 1.0000000 1.0000000 1.0000000 -0.5773503 -0.5773503 -0.8164966 -0.8164966
attr(,"class")
[1] "igraph.tmp.sparse"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
connected_components_impl(g)
Output
[1] 0 0 0
Code
connected_components_impl(g, mode = "strong", details = TRUE)
Output
$membership
[1] 0 0 0
$csize
[1] 3
$no
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_connected_impl(g)
Output
[1] TRUE
Code
is_connected_impl(g, mode = "strong")
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
articulation_points_impl(g)
Output
+ 1/3 vertex:
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
biconnected_components_impl(g)
Output
$no
[1] 2
$tree_edges
$tree_edges[[1]]
[1] 2
$tree_edges[[2]]
[1] 1
$component_edges
$component_edges[[1]]
[1] 2
$component_edges[[2]]
[1] 1
$components
$components[[1]]
+ 2/3 vertices:
[1] 3 2
$components[[2]]
+ 2/3 vertices:
[1] 2 1
$articulation_points
[1] 2
$tree.edges
list()
$component.edges
list()
$articulation.points
+ 0/3 vertices:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
bridges_impl(g)
Output
+ 2/2 edges:
[1] 2--3 1--2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_biconnected_impl(g)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_reachable_impl(g, mode = "out")
Output
[1] 5 5 5 5 5
Code
count_reachable_impl(g, mode = "in")
Output
[1] 5 5 5 5 5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
bond_percolation_impl(g)
Output
$giant_size
numeric(0)
$vetex_count
numeric(0)
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
site_percolation_impl(g)
Output
$giant_size
numeric(0)
$edge_count
numeric(0)
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
edgelist_percolation_impl(matrix(c(1, 2, 2, 3), ncol = 2))
Output
$giant_size
[1] 2 3
$vertex_count
[1] 2 3
Code
x
Condition
Error in `edgelist_percolation_impl()`:
! REAL() can only be applied to a 'numeric', not a 'character'
Code
is_clique_impl(g, 1:2)
Output
[1] TRUE
Code
is_clique_impl(g, 1:2, directed = TRUE)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
cliques_impl(g)
Output
[[1]]
+ 1/3 vertex:
[1] 2
[[2]]
+ 1/3 vertex:
[1] 3
[[3]]
+ 2/3 vertices:
[1] 2 3
[[4]]
+ 1/3 vertex:
[1] 1
[[5]]
+ 2/3 vertices:
[1] 1 2
Code
cliques_impl(g, min = 2, max = 2)
Output
[[1]]
+ 2/3 vertices:
[1] 2 3
[[2]]
+ 2/3 vertices:
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
clique_size_hist_impl(g)
Output
[1] 3 2
Code
clique_size_hist_impl(g, min.size = 2, max.size = 2)
Output
[1] 0 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
largest_cliques_impl(g)
Output
[[1]]
+ 2/3 vertices:
[1] 1 2
[[2]]
+ 2/3 vertices:
[1] 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
maximal_cliques_hist_impl(g)
Output
[1] 0 2
Code
maximal_cliques_hist_impl(g, min.size = 2, max.size = 2)
Output
[1] 0 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
clique_number_impl(g)
Output
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
weighted_cliques_impl(g)
Output
[[1]]
+ 1/3 vertex:
[1] 2
[[2]]
+ 1/3 vertex:
[1] 3
[[3]]
+ 2/3 vertices:
[1] 2 3
[[4]]
+ 1/3 vertex:
[1] 1
[[5]]
+ 2/3 vertices:
[1] 1 2
Code
weighted_cliques_impl(g, vertex.weights = c(1, 2, 3), min.weight = 1,
max.weight = 3, maximal = TRUE)
Output
[[1]]
+ 2/3 vertices:
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
largest_weighted_cliques_impl(g)
Output
[[1]]
+ 2/3 vertices:
[1] 1 2
[[2]]
+ 2/3 vertices:
[1] 2 3
Code
largest_weighted_cliques_impl(g, vertex.weights = c(1, 2, 3))
Output
[[1]]
+ 2/3 vertices:
[1] 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
weighted_clique_number_impl(g)
Output
[1] 2
Code
weighted_clique_number_impl(g, vertex.weights = c(1, 2, 3))
Output
[1] 5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_independent_vertex_set_impl(g, 1:2)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_random_impl(g)
Output
[,1] [,2]
[1,] 0.91714717 0.7003783
[2,] -0.84358557 0.6509057
[3,] -0.08120892 -0.8259847
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_circle_impl(g)
Output
[,1] [,2]
[1,] 1.0 0.0000000
[2,] -0.5 0.8660254
[3,] -0.5 -0.8660254
Code
layout_circle_impl(g, order = 1:3)
Output
[,1] [,2]
[1,] 1.0 0.0000000
[2,] -0.5 0.8660254
[3,] -0.5 -0.8660254
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
round(layout_star_impl(g), 4)
Output
[,1] [,2]
[1,] 0 0
[2,] 1 0
[3,] -1 0
Code
round(layout_star_impl(g, center = 1, order = 3:1), 4)
Output
[,1] [,2]
[1,] 0 0
[2,] -1 0
[3,] 1 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_grid_impl(g)
Output
[,1] [,2]
[1,] 0 0
[2,] 1 0
[3,] 0 1
Code
layout_grid_impl(g, width = 2)
Output
[,1] [,2]
[1,] 0 0
[2,] 1 0
[3,] 0 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_grid_3d_impl(g)
Output
[,1] [,2] [,3]
[1,] 0 0 0
[2,] 1 0 0
[3,] 0 1 0
Code
layout_grid_3d_impl(g, width = 2, height = 2)
Output
[,1] [,2] [,3]
[1,] 0 0 0
[2,] 1 0 0
[3,] 0 1 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
roots_for_tree_layout_impl(g, mode = "out", heuristic = 1)
Output
+ 1/3 vertex:
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_random_3d_impl(g)
Output
[,1] [,2] [,3]
[1,] 0.91714717 0.7003783 0.7338074
[2,] -0.84358557 0.6509057 0.4644714
[3,] -0.08120892 -0.8259847 0.5240391
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_sphere_impl(g)
Output
[,1] [,2] [,3]
[1,] 0.0000000 0.0000000 -1
[2,] -0.4861377 0.8738822 0
[3,] 0.0000000 0.0000000 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_sugiyama_impl(g)
Output
$res
[,1] [,2]
[1,] 0.0 1
[2,] 0.5 0
[3,] 1.0 1
$extd_graph
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$extd_to_orig_eids
[1] 1 2
Code
layout_sugiyama_impl(g, layers = 1:3, hgap = 2, vgap = 2, maxiter = 10,
weights = c(1, 2))
Output
$res
[,1] [,2]
[1,] 0 0
[2,] 0 2
[3,] 0 4
$extd_graph
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$extd_to_orig_eids
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_mds_impl(g)
Output
[,1] [,2]
[1,] 1 2.807594e-08
[2,] 0 0.000000e+00
[3,] -1 2.807594e-08
Code
layout_mds_impl(g, dist = matrix(1:9, nrow = 3), dim = 3)
Output
[,1] [,2] [,3]
[1,] -2.907521 2.32638426 1.444979
[2,] -3.900013 -1.63291106 2.258035
[3,] 3.975674 0.09951448 3.271816
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_bipartite_impl(g, types = c(TRUE, FALSE, TRUE))
Output
[,1] [,2]
[1,] 0.0 0
[2,] 0.5 1
[3,] 1.0 0
Code
layout_bipartite_impl(g, types = c(TRUE, FALSE, TRUE), hgap = 2, vgap = 2,
maxiter = 10)
Output
[,1] [,2]
[1,] 0 0
[2,] 1 2
[3,] 2 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_gem_impl(g, res = matrix(0, nrow = 3, ncol = 2))
Output
[,1] [,2]
[1,] 200.18284 -69.23950
[2,] 86.00346 64.12806
[3,] 66.22930 -92.94294
Code
layout_gem_impl(g, res = matrix(0, nrow = 3, ncol = 2), use.seed = TRUE,
maxiter = 10, temp.max = 2, temp.min = 0.1, temp.init = 1)
Output
[,1] [,2]
[1,] 1.0114521 -0.1206363
[2,] -0.2178589 2.9621162
[3,] -0.7089555 -3.8896500
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_davidson_harel_impl(g, res = matrix(0, nrow = 3, ncol = 2))
Output
[,1] [,2]
[1,] 1.152116 0.9424808
[2,] 2.474361 2.5195497
[3,] 3.849187 4.0402661
Code
layout_davidson_harel_impl(g, res = matrix(0, nrow = 3, ncol = 2), use.seed = TRUE,
maxiter = 10, fineiter = 5, cool.fact = 0.5, weight.node.dist = 2,
weight.border = 1, weight.edge.lengths = 0.1, weight.edge.crossings = 0.2,
weight.node.edge.dist = 0.3)
Output
[,1] [,2]
[1,] -6.609493 -2.155221
[2,] -8.660255 -3.797365
[3,] -6.485087 -5.224752
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_umap_impl(g, res = matrix(0, nrow = 3, ncol = 2), use.seed = TRUE)
Output
[,1] [,2]
[1,] 0 0
[2,] 0 0
[3,] 0 0
Code
layout_umap_impl(g, res = matrix(0, nrow = 3, ncol = 2), use.seed = TRUE,
distances = 1:3, min.dist = 0.1, epochs = 10, distances.are.weights = TRUE)
Output
[,1] [,2]
[1,] 0 0
[2,] 0 0
[3,] 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_umap_3d_impl(g, res = matrix(0, nrow = 3, ncol = 3), use.see = TRUE)
Output
[,1] [,2] [,3]
[1,] 0 0 0
[2,] 0 0 0
[3,] 0 0 0
Code
layout_umap_3d_impl(g, res = matrix(0, nrow = 3, ncol = 3), use.seed = TRUE,
distances = 1:3, min.dist = 0.1, epochs = 10, distances.are.weights = TRUE)
Output
[,1] [,2] [,3]
[1,] 0 0 0
[2,] 0 0 0
[3,] 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_umap_compute_weights_impl(g, distances = 1:2, weights = 1:3)
Output
[1] 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
layout_align_impl(g, layout = matrix(0, nrow = 3, ncol = 2))
Output
[,1] [,2]
[1,] 0 0
[2,] 0 0
[3,] 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_dice_impl(g)
Output
[,1] [,2] [,3]
[1,] 1 0 1
[2,] 0 1 0
[3,] 1 0 1
Code
similarity_dice_impl(g, vids = 1:2, mode = "in", loops = TRUE)
Output
[,1] [,2]
[1,] 1.0 0.8
[2,] 0.8 1.0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_dice_es_impl(g)
Output
[1] 0 0
Code
similarity_dice_es_impl(g, es = 1:2, mode = "in", loops = TRUE)
Output
[1] 0.8 0.8
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_dice_pairs_impl(g, pairs = matrix(c(1, 2, 2, 3), ncol = 2))
Output
[1] 0 0
Code
similarity_dice_pairs_impl(g, pairs = matrix(c(1, 2, 2, 3), ncol = 2), mode = "in",
loops = TRUE)
Output
[1] 0.6666667 0.8000000
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_inverse_log_weighted_impl(g)
Output
[,1] [,2] [,3]
[1,] 0.000000 0 1.442695
[2,] 0.000000 0 0.000000
[3,] 1.442695 0 0.000000
Code
similarity_inverse_log_weighted_impl(g, vids = 1:2, mode = "in")
Output
[,1] [,2] [,3]
[1,] 0 0 1.442695
[2,] 0 0 0.000000
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_jaccard_impl(g)
Output
[,1] [,2] [,3]
[1,] 1 0 1
[2,] 0 1 0
[3,] 1 0 1
Code
similarity_jaccard_impl(g, vids = 1:2, mode = "in", loops = TRUE)
Output
[,1] [,2]
[1,] 1.0000000 0.6666667
[2,] 0.6666667 1.0000000
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_jaccard_es_impl(g)
Output
[1] 0 0
Code
similarity_jaccard_es_impl(g, es = 1:2, mode = "in", loops = TRUE)
Output
[1] 0.6666667 0.6666667
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
similarity_jaccard_pairs_impl(g, pairs = matrix(c(1, 2, 2, 3), ncol = 2))
Output
[1] 0 0
Code
similarity_jaccard_pairs_impl(g, pairs = matrix(c(1, 2, 2, 3), ncol = 2), mode = "in",
loops = TRUE)
Output
[1] 0.5000000 0.6666667
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
compare_communities_impl(c(1, 2, 1), c(2, 1, 2))
Output
[1] 0
Code
compare_communities_impl(c(1, 2, 1), c(2, 1, 2), method = "nmi")
Output
[1] 1
Code
x
Condition
Warning in `compare_communities_impl()`:
NAs introduced by coercion
Error in `compare_communities_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
modularity_impl(g, membership = c(1, 2, 1))
Output
[1] -0.5
Code
modularity_impl(g, membership = c(1, 2, 1), weights = c(1, 2), resolution = 0.5,
directed = FALSE)
Output
[1] -0.25
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
modularity_matrix_impl(g)
Output
[,1] [,2] [,3]
[1,] -0.25 0.5 -0.25
[2,] 0.50 -1.0 0.50
[3,] -0.25 0.5 -0.25
Code
modularity_matrix_impl(g, weights = c(1, 2), resolution = 0.5, directed = FALSE)
Output
[,1] [,2] [,3]
[1,] -0.08333333 0.75 -0.1666667
[2,] 0.75000000 -0.75 1.5000000
[3,] -0.16666667 1.50 -0.3333333
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
community_fluid_communities_impl(g, no.of.communities = 2)
Output
[1] 1 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
community_label_propagation_impl(g)
Output
[1] 0 0 0
Code
community_label_propagation_impl(g, mode = "in", weights = c(1, 2), initial = 1:
3, fixed = c(TRUE, FALSE, TRUE))
Output
[1] 0 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
community_multilevel_impl(g)
Output
$membership
[1] 0 0 0
$memberships
[,1] [,2] [,3]
[1,] 0 0 0
$modularity
[1] 0
Code
community_multilevel_impl(g, weights = c(1, 2), resolution = 0.5)
Output
$membership
[1] 0 0 0
$memberships
[,1] [,2] [,3]
[1,] 0 0 0
$modularity
[1] 0.5
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
community_optimal_modularity_impl(g)
Output
$modularity
[1] 0
$membership
[1] 0 0 0
Code
community_optimal_modularity_impl(g, weights = c(1, 2))
Output
$modularity
[1] 1.850372e-17
$membership
[1] 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
community_leiden_impl(g, weights = c(1, 2), vertex.weights = c(1, 2, 3),
resolution = 0.5, beta = 0.1, start = TRUE, n.iterations = 1, membership = 1:3)
Output
$membership
[1] 0 1 2
$nb_clusters
[1] 3
$quality
[1] -1.166667
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
split_join_distance_impl(c(1, 2, 1), c(2, 1, 2))
Output
$distance12
[1] 0
$distance21
[1] 0
Code
x
Condition
Warning in `split_join_distance_impl()`:
NAs introduced by coercion
Error in `split_join_distance_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
community_infomap_impl(g)
Output
$membership
[1] 0 0 0
$codelength
[1] 1.512987
Code
community_infomap_impl(g, e.weights = c(1, 2), v.weights = c(1, 2, 3),
nb.trials = 2)
Output
$membership
[1] 0 0 0
$codelength
[1] 1.462254
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
graphlets_impl(g)
Output
$cliques
$cliques[[1]]
+ 2/3 vertices:
[1] 2 3
$cliques[[2]]
+ 2/3 vertices:
[1] 1 2
$Mu
[1] 0.6665667 0.3332333
Code
graphlets_impl(g, weights = c(3, 4), niter = 10)
Output
$cliques
$cliques[[1]]
+ 2/3 vertices:
[1] 2 3
$cliques[[2]]
+ 2/3 vertices:
[1] 1 2
$Mu
[1] 1.333233 0.999900
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
hrg_fit_impl(g1)
Output
$left
[1] -2 0
$right
[1] 1 2
$prob
[1] 1 0
$edges
[1] 2 0
$vertices
[1] 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
hrg_sample_impl(hrg_model)
Output
IGRAPH U--- 10 45 --
+ edges:
[1] 1-- 2 1-- 3 1-- 4 1-- 5 1-- 6 1-- 7 1-- 8 1-- 9 1--10 2-- 3 2-- 4 2-- 5
[13] 2-- 6 2-- 7 2-- 8 2-- 9 2--10 3-- 4 3-- 5 3-- 6 3-- 7 3-- 8 3-- 9 3--10
[25] 4-- 5 4-- 6 4-- 7 4-- 8 4-- 9 4--10 5-- 6 5-- 7 5-- 8 5-- 9 5--10 6-- 7
[37] 6-- 8 6-- 9 6--10 7-- 8 7-- 9 7--10 8-- 9 8--10 9--10
Code
x
Condition
Error in `hrg_sample_impl()`:
! At vendor/cigraph/src/hrg/hrg_types.cc:xx : Assertion failed: n >= 0. This is an unexpected igraph error; please report this as a bug, along with the steps to reproduce it.
Please restart your R session to avoid crashes or other surprising behavior.
Code
hrg_sample_many_impl(hrg_model, num.samples = 2)
Output
[[1]]
IGRAPH U--- 10 45 --
+ edges:
[1] 1-- 2 1-- 3 1-- 4 1-- 5 1-- 6 1-- 7 1-- 8 1-- 9 1--10 2-- 3 2-- 4 2-- 5
[13] 2-- 6 2-- 7 2-- 8 2-- 9 2--10 3-- 4 3-- 5 3-- 6 3-- 7 3-- 8 3-- 9 3--10
[25] 4-- 5 4-- 6 4-- 7 4-- 8 4-- 9 4--10 5-- 6 5-- 7 5-- 8 5-- 9 5--10 6-- 7
[37] 6-- 8 6-- 9 6--10 7-- 8 7-- 9 7--10 8-- 9 8--10 9--10
[[2]]
IGRAPH U--- 10 45 --
+ edges:
[1] 1-- 2 1-- 3 1-- 4 1-- 5 1-- 6 1-- 7 1-- 8 1-- 9 1--10 2-- 3 2-- 4 2-- 5
[13] 2-- 6 2-- 7 2-- 8 2-- 9 2--10 3-- 4 3-- 5 3-- 6 3-- 7 3-- 8 3-- 9 3--10
[25] 4-- 5 4-- 6 4-- 7 4-- 8 4-- 9 4--10 5-- 6 5-- 7 5-- 8 5-- 9 5--10 6-- 7
[37] 6-- 8 6-- 9 6--10 7-- 8 7-- 9 7--10 8-- 9 8--10 9--10
Code
x
Condition
Error in `hrg_sample_many_impl()`:
! At vendor/cigraph/src/hrg/hrg_types.cc:xx : Assertion failed: n >= 0. This is an unexpected igraph error; please report this as a bug, along with the steps to reproduce it.
Please restart your R session to avoid crashes or other surprising behavior.
Code
hrg_game_impl(hrg_model)
Output
IGRAPH U--- 10 45 -- Hierarchical random graph model
+ attr: name (g/c)
+ edges:
[1] 1-- 2 1-- 3 1-- 4 1-- 5 1-- 6 1-- 7 1-- 8 1-- 9 1--10 2-- 3 2-- 4 2-- 5
[13] 2-- 6 2-- 7 2-- 8 2-- 9 2--10 3-- 4 3-- 5 3-- 6 3-- 7 3-- 8 3-- 9 3--10
[25] 4-- 5 4-- 6 4-- 7 4-- 8 4-- 9 4--10 5-- 6 5-- 7 5-- 8 5-- 9 5--10 6-- 7
[37] 6-- 8 6-- 9 6--10 7-- 8 7-- 9 7--10 8-- 9 8--10 9--10
Code
x
Condition
Error in `hrg_game_impl()`:
! At vendor/cigraph/src/hrg/hrg_types.cc:xx : Assertion failed: n >= 0. This is an unexpected igraph error; please report this as a bug, along with the steps to reproduce it.
Please restart your R session to avoid crashes or other surprising behavior.
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
hrg_create_impl(g, prob = rep(0.5, 2))
Output
Hierarchical random graph, at level 3:
g1 p=0.5 1
'- g2 p=0.5 2 3
Code
x
Condition
Error in `hrg_create_impl()`:
! At vendor/cigraph/src/hrg/hrg.cc:xx : HRG probability vector size (1) should be equal to the number of internal nodes (2). Invalid value
Code
hrg_resize_impl(hrg_model, newsize = 5)
Output
$left
[1] 0 -9 -6 -2
$right
[1] -4 4 7 -8
$prob
[1] 1 1 1 1
$edges
[1] 9 6 3 14
$vertices
[1] 10 7 4 9
Code
x
Condition
Error in `hrg_resize_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
hrg_size_impl(hrg_model)
Output
[1] 10
Code
x
Condition
Error in `hrg_size_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
from_hrg_dendrogram_impl(hrg_model)
Output
$graph
IGRAPH D--- 19 18 --
+ edges:
[1] 11-> 1 11->14 12->19 12-> 5 13->16 13-> 8 14->12 14->18 15-> 3 15-> 6
[11] 16->15 16->10 17->13 17-> 4 18-> 7 18-> 9 19-> 2 19->17
$prob
[1] NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1 1 1 1 1 1 1 1 1
Code
x
Condition
Error in `from_hrg_dendrogram_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
get_adjacency_sparse_impl(g)
Output
$type
[1] "triplet"
$dim
[1] 3 3
$p
[1] 0 1 1 2
$i
[1] 1 0 2 1
$x
[1] 1 1 1 1
attr(,"class")
[1] "igraph.tmp.sparse"
Code
get_adjacency_sparse_impl(g, type = "upper", weights = c(1, 2), loops = "none")
Output
$type
[1] "triplet"
$dim
[1] 3 3
$p
[1] 1 2
$i
[1] 0 1
$x
[1] 1 2
attr(,"class")
[1] "igraph.tmp.sparse"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_stochastic_impl(g)
Output
[,1] [,2] [,3]
[1,] 0.0 1 0.0
[2,] 0.5 0 0.5
[3,] 0.0 1 0.0
Code
get_stochastic_impl(g, column.wise = TRUE, weights = c(1, 2))
Output
[,1] [,2] [,3]
[1,] 0 0.3333333 0
[2,] 1 0.0000000 1
[3,] 0 0.6666667 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_stochastic_sparse_impl(g)
Output
$type
[1] "triplet"
$dim
[1] 3 3
$p
[1] 0 1 1 2
$i
[1] 1 0 2 1
$x
[1] 0.5 1.0 1.0 0.5
attr(,"class")
[1] "igraph.tmp.sparse"
Code
get_stochastic_sparse_impl(g, column.wise = TRUE, weights = c(1, 2))
Output
$type
[1] "triplet"
$dim
[1] 3 3
$p
[1] 0 1 1 2
$i
[1] 1 0 2 1
$x
[1] 1.0000000 0.3333333 0.6666667 1.0000000
attr(,"class")
[1] "igraph.tmp.sparse"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
to_directed_impl(g)
Output
IGRAPH D--- 3 4 --
+ edges:
[1] 1->2 2->3 2->1 3->2
Code
to_directed_impl(g, mode = "acyclic")
Output
IGRAPH D--- 3 2 --
+ edges:
[1] 1->2 2->3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
to_undirected_impl(g)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
Code
to_undirected_impl(g, mode = "mutual", edge.attr.comb = "sum")
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
motifs_randesu_impl(g)
Output
[1] NaN NaN 1 0
Code
motifs_randesu_impl(g, size = 4, cut.prob = rep(0.1, 4))
Output
[1] NaN NaN NaN NaN 0 NaN 0 0 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
motifs_randesu_estimate_impl(g, size = 3, sample.size = 2)
Output
[1] 3
Code
motifs_randesu_estimate_impl(g, size = 4, cut.prob = rep(0.1, 4), sample.size = 2,
sample = 1:2)
Output
[1] 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
motifs_randesu_no_impl(g)
Output
[1] 1
Code
motifs_randesu_no_impl(g, size = 4, cut.prob = c(0.1, 0.1, 0.1, 0.1))
Output
[1] 0
Code
x
Condition
Error in `motifs_randesu_no_impl()`:
! At vendor/cigraph/src/misc/motifs.c:xx : Cut probability vector size (1) must agree with motif size (3). Invalid value
Code
dyad_census_impl(g)
Output
$mut
[1] 2
$asym
[1] 0
$null
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
triad_census_impl(g)
Condition
Warning in `triad_census_impl()`:
At vendor/cigraph/src/misc/motifs.c:1157 : Triad census called on an undirected graph. All connections will be treated as mutual.
Output
[1] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_adjacent_triangles_impl(g)
Output
[1] 0 0 0
Code
count_adjacent_triangles_impl(g, vids = 1:2)
Output
[1] 0 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_triangles_impl(g)
Output
[1] 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_0_impl(g)
Output
[1] 1 2 1
Code
local_scan_0_impl(g, weights = c(1, 2), mode = "in")
Output
[1] 1 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_0_them_impl(g1, g2)
Output
[1] 1 2 1
Code
local_scan_0_them_impl(g1, g2, weights.them = c(1, 2), mode = "in")
Output
[1] 1 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_1_ecount_impl(g)
Output
[1] 1 2 1
Code
local_scan_1_ecount_impl(g, weights = c(1, 2), mode = "in")
Output
[1] 1 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_1_ecount_them_impl(g1, g2)
Output
[1] 1 2 1
Code
local_scan_1_ecount_them_impl(g1, g2, weights.them = c(1, 2), mode = "in")
Output
[1] 1 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_k_ecount_impl(g, k = 1)
Output
[1] 1 2 1
Code
local_scan_k_ecount_impl(g, k = 1, weights = c(1, 2), mode = "in")
Output
[1] 1 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_k_ecount_them_impl(g1, g2, k = 1)
Output
[1] 1 2 1
Code
local_scan_k_ecount_them_impl(g1, g2, k = 1, weights.them = c(1, 2), mode = "in")
Output
[1] 1 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_neighborhood_ecount_impl(g, neighborhoods = list(1:2, 2:3, 2:4, 2))
Output
[1] 1 1 2 0
Code
local_scan_neighborhood_ecount_impl(g, weights = c(1, 2, 3), neighborhoods = list(
1:2, 1:3, 2:4, 1))
Output
[1] 1 3 5 0
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
local_scan_subset_ecount_impl(g, subsets = list(c(1, 2), c(2, 3)))
Output
[1] 1 1
Code
local_scan_subset_ecount_impl(g, weights = c(1, 2, 3), subsets = list(c(1, 2),
c(2, 3)))
Output
[1] 1 2
Code
x
Condition
Error in `.x - 1`:
! non-numeric argument to binary operator
Code
list_triangles_impl(g)
Output
+ 0/3 vertices:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
join_impl(g1, g2)
Output
IGRAPH U--- 6 13 --
+ edges:
[1] 1--2 2--3 4--5 5--6 1--4 1--5 1--6 2--4 2--5 2--6 3--4 3--5 3--6
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
induced_subgraph_map_impl(g, 1:2, impl = "auto")
Output
$res
IGRAPH U--- 2 1 --
+ edge:
[1] 1--2
$map
[1] 2 3 1
$invmap
[1] 1 2
Code
induced_subgraph_map_impl(g, 1:2, impl = "copy_and_delete")
Output
$res
IGRAPH U--- 2 1 --
+ edge:
[1] 1--2
$map
[1] 2 3 1
$invmap
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
mycielskian_impl(g)
Output
IGRAPH U--- 7 9 --
+ edges:
[1] 1--2 2--3 1--5 2--4 2--6 3--5 4--7 5--7 6--7
Code
mycielskian_impl(g, k = 2)
Output
IGRAPH U--- 15 34 --
+ edges:
[1] 1-- 2 2-- 3 1-- 5 2-- 4 2-- 6 3-- 5 4-- 7 5-- 7 6-- 7 1-- 9
[11] 2-- 8 2--10 3-- 9 1--12 5-- 8 2--11 4-- 9 2--13 6-- 9 3--12
[21] 5--10 4--14 7--11 5--14 7--12 6--14 7--13 8--15 9--15 10--15
[31] 11--15 12--15 13--15 14--15
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
product_impl(g1, g2)
Output
IGRAPH U--- 9 12 --
+ edges:
[1] 1--4 2--5 3--6 4--7 5--8 6--9 1--2 4--5 7--8 2--3 5--6 8--9
Code
product_impl(g1, g2, type = "tensor")
Output
IGRAPH U--- 9 8 --
+ edges:
[1] 1--5 2--4 2--6 3--5 4--8 5--7 5--9 6--8
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
rooted_product_impl(g1, g2, root = 1)
Output
IGRAPH U--- 9 8 --
+ edges:
[1] 1--4 4--7 1--2 4--5 7--8 2--3 5--6 8--9
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
gomory_hu_tree_impl(g)
Output
$tree
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$flows
[1] 1 1
Code
gomory_hu_tree_impl(g, capacity = c(1, 2))
Output
$tree
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$flows
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
maxflow_impl(g, source = 1, target = 3)
Output
$value
[1] 1
$flow
[1] 1 1
$cut
+ 1/2 edge:
[1] 2--3
$partition1
+ 2/3 vertices:
[1] 1 2
$partition2
+ 1/3 vertex:
[1] 3
$stats
$stats$nopush
[1] 1
$stats$norelabel
[1] 0
$stats$nogap
[1] 0
$stats$nogapnodes
[1] 0
$stats$nobfs
[1] 1
Code
maxflow_impl(g, source = 1, target = 3, capacity = c(1, 2))
Output
$value
[1] 1
$flow
[1] 1 1
$cut
+ 1/2 edge:
[1] 1--2
$partition1
+ 1/3 vertex:
[1] 1
$partition2
+ 2/3 vertices:
[1] 2 3
$stats
$stats$nopush
[1] 1
$stats$norelabel
[1] 0
$stats$nogap
[1] 0
$stats$nogapnodes
[1] 0
$stats$nobfs
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
residual_graph_impl(g, capacity = c(1, 2), flow = c(1, 2))
Output
$residual
IGRAPH D--- 3 0 --
+ edges:
$residual_capacity
numeric(0)
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
reverse_residual_graph_impl(g, capacity = c(1, 2), flow = c(1, 2))
Output
IGRAPH D--- 3 2 --
+ edges:
[1] 2->1 3->2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
st_mincut_impl(g, source = 1, target = 3)
Output
$value
[1] 1
$cut
+ 1/2 edge:
[1] 2--3
$partition1
+ 2/3 vertices:
[1] 1 2
$partition2
+ 1/3 vertex:
[1] 3
Code
st_mincut_impl(g, source = 1, target = 3, capacity = c(1, 2))
Output
$value
[1] 1
$cut
+ 1/2 edge:
[1] 1--2
$partition1
+ 1/3 vertex:
[1] 1
$partition2
+ 2/3 vertices:
[1] 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
dominator_tree_impl(g, root = 1)
Output
$dom
[1] 0 1 2
$domtree
IGRAPH D--- 3 2 --
+ edges:
[1] 1->2 2->3
$leftout
+ 0/3 vertices:
Code
dominator_tree_impl(g, root = 1, mode = "in")
Output
$dom
[1] 0 -1 -1
$domtree
IGRAPH D--- 3 0 --
+ edges:
$leftout
+ 2/3 vertices:
[1] 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
all_st_cuts_impl(g, source = 1, target = 3)
Output
$cuts
$cuts[[1]]
+ 1/2 edge:
[1] 1->2
$cuts[[2]]
+ 1/2 edge:
[1] 2->3
$partition1s
$partition1s[[1]]
+ 1/3 vertex:
[1] 1
$partition1s[[2]]
+ 2/3 vertices:
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
all_st_mincuts_impl(g, source = 1, target = 3)
Output
$value
[1] 1
$cuts
$cuts[[1]]
+ 1/2 edge:
[1] 1->2
$cuts[[2]]
+ 1/2 edge:
[1] 2->3
$partition1s
$partition1s[[1]]
+ 1/3 vertex:
[1] 1
$partition1s[[2]]
+ 2/3 vertices:
[1] 1 2
Code
all_st_mincuts_impl(g, source = 1, target = 3, capacity = c(1, 2))
Output
$value
[1] 1
$cuts
$cuts[[1]]
+ 1/2 edge:
[1] 1->2
$partition1s
$partition1s[[1]]
+ 1/3 vertex:
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
even_tarjan_reduction_impl(g)
Output
$graphbar
IGRAPH D--- 6 7 --
+ edges:
[1] 1->4 2->5 3->6 5->1 4->2 6->2 5->3
$capacity
[1] 1 1 1 3 3 3 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_separator_impl(g, 1:2)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_minimal_separator_impl(g, 1:2)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
all_minimal_st_separators_impl(g)
Output
[[1]]
+ 1/3 vertex:
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
minimum_size_separators_impl(g)
Output
[[1]]
+ 1/3 vertex:
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
isoclass_impl(g)
Output
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
isomorphic_impl(g1, g2)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
isoclass_subgraph_impl(g, c(1, 2, 3))
Output
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
isoclass_create_impl(size = 3, number = 1)
Output
IGRAPH D--- 3 1 --
+ edge:
[1] 2->1
Code
isoclass_create_impl(size = 3, number = 1, directed = FALSE)
Output
IGRAPH U--- 3 1 --
+ edge:
[1] 1--2
Code
x
Condition
Warning in `isoclass_create_impl()`:
NAs introduced by coercion
Error in `isoclass_create_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
isomorphic_vf2_impl(g1, g2)
Output
$iso
[1] TRUE
$map12
[1] 1 2 3
$map21
[1] 1 2 3
Code
isomorphic_vf2_impl(g1, g2, vertex.color1 = c(1, 2, 3), vertex.color2 = c(1, 2,
3), edge.color1 = c(1, 2), edge.color2 = c(1, 2))
Output
$iso
[1] TRUE
$map12
[1] 1 2 3
$map21
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_isomorphisms_vf2_impl(g1, g2)
Output
[1] 2
Code
count_isomorphisms_vf2_impl(g1, g2, vertex.color1 = c(1, 2, 3), vertex.color2 = c(
1, 2, 3), edge.color1 = c(1, 2), edge.color2 = c(1, 2))
Output
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_isomorphisms_vf2_impl(g1, g2)
Output
[[1]]
[1] 0 1 2
[[2]]
[1] 2 1 0
Code
get_isomorphisms_vf2_impl(g1, g2, vertex.color1 = c(1, 2, 3), vertex.color2 = c(
1, 2, 3), edge.color1 = c(1, 2), edge.color2 = c(1, 2))
Output
[[1]]
[1] 0 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
subisomorphic_impl(g1, g2)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
subisomorphic_vf2_impl(g1, g2)
Output
$iso
[1] TRUE
$map12
[1] 1 2 3
$map21
[1] 1 2 3
Code
subisomorphic_vf2_impl(g1, g2, vertex.color1 = c(1, 2, 3), vertex.color2 = c(1,
2, 3), edge.color1 = c(1, 2), edge.color2 = c(1, 2))
Output
$iso
[1] TRUE
$map12
[1] 1 2 3
$map21
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_subisomorphisms_vf2_impl(g1, g2)
Output
[1] 2
Code
count_subisomorphisms_vf2_impl(g1, g2, vertex.color1 = c(1, 2, 3),
vertex.color2 = c(1, 2, 3), edge.color1 = c(1, 2), edge.color2 = c(1, 2))
Output
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
get_subisomorphisms_vf2_impl(g1, g2)
Output
[[1]]
[1] 0 1 2
[[2]]
[1] 2 1 0
Code
get_subisomorphisms_vf2_impl(g1, g2, vertex.color1 = c(1, 2, 3), vertex.color2 = c(
1, 2, 3), edge.color1 = c(1, 2), edge.color2 = c(1, 2))
Output
[[1]]
[1] 0 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
canonical_permutation_impl(g)
Output
$labeling
[1] 2 3 1
$info
$info$nof_nodes
[1] 3
$info$nof_leaf_nodes
[1] 3
$info$nof_bad_nodes
[1] 0
$info$nof_canupdates
[1] 1
$info$max_level
[1] 1
$info$group_size
[1] "2"
Code
canonical_permutation_impl(g, colors = c(1, 2, 3), sh = "fl")
Output
$labeling
[1] 1 2 3
$info
$info$nof_nodes
[1] 1
$info$nof_leaf_nodes
[1] 1
$info$nof_bad_nodes
[1] 0
$info$nof_canupdates
[1] 0
$info$max_level
[1] 0
$info$group_size
[1] "1"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
permute_vertices_impl(g, permutation = 3:1)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 2--3 1--2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
isomorphic_bliss_impl(g1, g2)
Output
$iso
[1] TRUE
$map12
[1] 1 2 3
$map21
[1] 1 2 3
$info1
$info1$nof_nodes
[1] 3
$info1$nof_leaf_nodes
[1] 3
$info1$nof_bad_nodes
[1] 0
$info1$nof_canupdates
[1] 1
$info1$max_level
[1] 1
$info1$group_size
[1] "2"
$info2
$info2$nof_nodes
[1] 3
$info2$nof_leaf_nodes
[1] 3
$info2$nof_bad_nodes
[1] 0
$info2$nof_canupdates
[1] 1
$info2$max_level
[1] 1
$info2$group_size
[1] "2"
Code
isomorphic_bliss_impl(g1, g2, colors1 = c(1, 2, 3), colors2 = c(1, 2, 3), sh = "fl")
Output
$iso
[1] TRUE
$map12
[1] 1 2 3
$map21
[1] 1 2 3
$info1
$info1$nof_nodes
[1] 1
$info1$nof_leaf_nodes
[1] 1
$info1$nof_bad_nodes
[1] 0
$info1$nof_canupdates
[1] 0
$info1$max_level
[1] 0
$info1$group_size
[1] "1"
$info2
$info2$nof_nodes
[1] 1
$info2$nof_leaf_nodes
[1] 1
$info2$nof_bad_nodes
[1] 0
$info2$nof_canupdates
[1] 0
$info2$max_level
[1] 0
$info2$group_size
[1] "1"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
count_automorphisms_impl(g)
Output
$nof_nodes
[1] 3
$nof_leaf_nodes
[1] 3
$nof_bad_nodes
[1] 0
$nof_canupdates
[1] 1
$max_level
[1] 1
$group_size
[1] "2"
Code
count_automorphisms_impl(g, colors = c(1, 2, 3), sh = "fl")
Output
$nof_nodes
[1] 1
$nof_leaf_nodes
[1] 1
$nof_bad_nodes
[1] 0
$nof_canupdates
[1] 0
$max_level
[1] 0
$group_size
[1] "1"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
automorphism_group_impl(g)
Output
[[1]]
+ 3/3 vertices:
[1] 3 2 1
Code
automorphism_group_impl(g, colors = c(1, 2, 3), sh = "fl", details = TRUE)
Output
$generators
list()
$info
$info$nof_nodes
[1] 1
$info$nof_leaf_nodes
[1] 1
$info$nof_bad_nodes
[1] 0
$info$nof_canupdates
[1] 0
$info$max_level
[1] 0
$info$group_size
[1] "1"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
simplify_and_colorize_impl(g)
Output
$res
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
$vertex_color
[1] 0 0 0
$edge_color
[1] 1 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
graph_count_impl(3)
Output
[1] 4
Code
graph_count_impl(3, directed = TRUE)
Output
[1] 16
Code
x
Condition
Warning in `graph_count_impl()`:
NAs introduced by coercion
Error in `graph_count_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
is_matching_impl(g, matching = 1:2)
Output
[1] FALSE
Code
is_matching_impl(g, types = c(TRUE, FALSE, TRUE), matching = 1:2)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_maximal_matching_impl(g, matching = 1:2)
Output
[1] FALSE
Code
is_maximal_matching_impl(g, types = c(TRUE, FALSE, TRUE), matching = 1:2)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
maximum_bipartite_matching_impl(g, types = c(TRUE, FALSE, TRUE))
Output
$matching_size
[1] 1
$matching_weight
[1] 1
$matching
[1] 2 1 0
Code
maximum_bipartite_matching_impl(g, types = c(TRUE, FALSE, TRUE), weights = c(1,
2), eps = 1e-05)
Output
$matching_size
[1] 1
$matching_weight
[1] 2
$matching
[1] 0 3 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
adjacency_spectral_embedding_impl(g, no = 2)
Output
$X
[,1] [,2]
[1,] 0.6718598 -0.4487712
[2,] 1.1328501 0.5323058
[3,] 0.6718598 -0.4487712
$Y
NULL
$D
[1] 2.1861407 -0.6861407
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LM"
$options$nev
[1] 2
$options$tol
[1] 0
$options$ncv
[1] 3
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 2
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 2
Code
adjacency_spectral_embedding_impl(g, no = 2, weights = c(1, 2), which = "la",
scaled = FALSE, cvec = c(1, 2, 3), options = list(maxiter = 10))
Output
$X
[,1] [,2]
[1,] 0.1720265 -0.7864357
[2,] 0.6311790 -0.3743620
[3,] 0.7563200 0.4912963
$Y
NULL
$D
[1] 4.669079 1.476024
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LA"
$options$nev
[1] 2
$options$tol
[1] 0
$options$ncv
[1] 3
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 10
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 2
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
laplacian_spectral_embedding_impl(g, no = 2)
Output
$X
[,1] [,2]
[1,] -0.7071068 -0.7071068
[2,] 1.4142136 0.0000000
[3,] -0.7071068 0.7071068
$Y
NULL
$D
[1] 3 1
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LM"
$options$nev
[1] 2
$options$tol
[1] 0
$options$ncv
[1] 3
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 1
$options$nconv
[1] 2
$options$numop
[1] 3
$options$numopb
[1] 0
$options$numreo
[1] 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
eigen_adjacency_impl(g)
Output
$options
$options$bmat
[1] "I"
$options$n
[1] 3
$options$which
[1] "LM"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 2
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 3000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 0
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 29
$options$nconv
[1] 1
$options$numop
[1] 30
$options$numopb
[1] 0
$options$numreo
[1] 16
$values
[1] -1.414214
$vectors
[,1]
[1,] -0.5000000
[2,] 0.7071068
[3,] -0.5000000
$cmplxvalues
complex(0)
$cmplxvectors
<0 x 0 matrix>
Code
x
Condition
Error in `eigen_adjacency_impl()`:
! At vendor/cigraph/src/linalg/eigen.c:xx : 'LAPACK' algorithm not implemented yet, Unimplemented function call
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
power_law_fit_impl(c(1, 2, 3))
Output
$continuous
[1] FALSE
$alpha
[1] 1.646771
$xmin
[1] 1
$logLik
[1] -5.272517
$KS.stat
[1] 0.2640998
Code
power_law_fit_impl(c(1, 2, 3), xmin = 1, force.continuous = TRUE)
Output
$continuous
[1] TRUE
$alpha
[1] 2.116221
$xmin
[1] 1
$logLik
[1] -3.461912
$KS.stat
[1] 0.3533555
Code
x
Condition
Warning in `power_law_fit_impl()`:
NAs introduced by coercion
Error in `power_law_fit_impl()`:
! At vendor/cigraph/src/misc/power_law_fit.c:xx : xmin must be greater than zero, Invalid value
Code
sir_impl(g, beta = 0.1, gamma = 0.1)
Output
[[1]]
[[1]]$times
[1] 0.000000 6.326537 8.018361 8.809852 9.405480 17.386752
[[1]]$NS
[1] 2 1 0 0 0 0
[[1]]$NI
[1] 1 2 3 2 1 0
[[1]]$NR
[1] 0 0 0 1 2 3
[[2]]
[[2]]$times
[1] 0.000000 3.674354 13.783038 13.921168
[[2]]$NS
[1] 2 1 1 1
[[2]]$NI
[1] 1 2 1 0
[[2]]$NR
[1] 0 0 1 2
[[3]]
[[3]]$times
[1] 0.000000 3.277542 7.521770 16.781182 18.515742 29.375613
[[3]]$NS
[1] 2 1 0 0 0 0
[[3]]$NI
[1] 1 2 3 2 1 0
[[3]]$NR
[1] 0 0 0 1 2 3
[[4]]
[[4]]$times
[1] 0.0000000 0.3027921
[[4]]$NS
[1] 2 2
[[4]]$NI
[1] 1 0
[[4]]$NR
[1] 0 1
[[5]]
[[5]]$times
[1] 0.000000 3.559451 5.615586 20.582742
[[5]]$NS
[1] 2 1 1 1
[[5]]$NI
[1] 1 2 1 0
[[5]]$NR
[1] 0 0 1 2
[[6]]
[[6]]$times
[1] 0.0000000 0.7300885 0.7328203 1.2536518 1.9258569 5.1406208
[[6]]$NS
[1] 2 1 0 0 0 0
[[6]]$NI
[1] 1 2 3 2 1 0
[[6]]$NR
[1] 0 0 0 1 2 3
[[7]]
[[7]]$times
[1] 0.000000 0.865533
[[7]]$NS
[1] 2 2
[[7]]$NI
[1] 1 0
[[7]]$NR
[1] 0 1
[[8]]
[[8]]$times
[1] 0.00000 10.68605
[[8]]$NS
[1] 2 2
[[8]]$NI
[1] 1 0
[[8]]$NR
[1] 0 1
[[9]]
[[9]]$times
[1] 0.000000 2.185910 7.669126 16.635095 21.440723 23.497554
[[9]]$NS
[1] 2 1 0 0 0 0
[[9]]$NI
[1] 1 2 3 2 1 0
[[9]]$NR
[1] 0 0 0 1 2 3
[[10]]
[[10]]$times
[1] 0.000000 4.105424 4.424244 22.891743 24.099505 32.514828
[[10]]$NS
[1] 2 1 1 0 0 0
[[10]]$NI
[1] 1 2 1 2 1 0
[[10]]$NR
[1] 0 0 1 1 2 3
[[11]]
[[11]]$times
[1] 0.00000 4.93042 21.00935 21.07441 23.37619 41.26694
[[11]]$NS
[1] 2 1 0 0 0 0
[[11]]$NI
[1] 1 2 3 2 1 0
[[11]]$NR
[1] 0 0 0 1 2 3
[[12]]
[[12]]$times
[1] 0.00000 15.47343 26.09187 38.01744 43.76847 50.41068
[[12]]$NS
[1] 2 1 0 0 0 0
[[12]]$NI
[1] 1 2 3 2 1 0
[[12]]$NR
[1] 0 0 0 1 2 3
[[13]]
[[13]]$times
[1] 0.000000 3.540437
[[13]]$NS
[1] 2 2
[[13]]$NI
[1] 1 0
[[13]]$NR
[1] 0 1
[[14]]
[[14]]$times
[1] 0.000000 7.081426 7.638086 11.569527
[[14]]$NS
[1] 2 1 1 1
[[14]]$NI
[1] 1 2 1 0
[[14]]$NR
[1] 0 0 1 2
[[15]]
[[15]]$times
[1] 0.00000 15.60443 15.66654 20.19745 22.11224 42.62196
[[15]]$NS
[1] 2 1 0 0 0 0
[[15]]$NI
[1] 1 2 3 2 1 0
[[15]]$NR
[1] 0 0 0 1 2 3
[[16]]
[[16]]$times
[1] 0.000000 3.239708 17.193626 18.833130 19.040959 35.199892
[[16]]$NS
[1] 2 1 1 0 0 0
[[16]]$NI
[1] 1 2 1 2 1 0
[[16]]$NR
[1] 0 0 1 1 2 3
[[17]]
[[17]]$times
[1] 0.0000000 0.2300489 1.8970602 6.9851496 16.0587095 28.8528567
[[17]]$NS
[1] 2 1 0 0 0 0
[[17]]$NI
[1] 1 2 3 2 1 0
[[17]]$NR
[1] 0 0 0 1 2 3
[[18]]
[[18]]$times
[1] 0.000000 4.674879 5.319832 17.366640 63.357258 86.262883
[[18]]$NS
[1] 2 1 1 0 0 0
[[18]]$NI
[1] 1 2 1 2 1 0
[[18]]$NR
[1] 0 0 1 1 2 3
[[19]]
[[19]]$times
[1] 0.000000 1.972293
[[19]]$NS
[1] 2 2
[[19]]$NI
[1] 1 0
[[19]]$NR
[1] 0 1
[[20]]
[[20]]$times
[1] 0.000000 3.177922
[[20]]$NS
[1] 2 2
[[20]]$NI
[1] 1 0
[[20]]$NR
[1] 0 1
[[21]]
[[21]]$times
[1] 0.000000 1.994279 2.508129 8.208209 28.478526 36.256169
[[21]]$NS
[1] 2 1 0 0 0 0
[[21]]$NI
[1] 1 2 3 2 1 0
[[21]]$NR
[1] 0 0 0 1 2 3
[[22]]
[[22]]$times
[1] 0.000000 5.226609 14.744785 16.304309
[[22]]$NS
[1] 2 1 1 1
[[22]]$NI
[1] 1 2 1 0
[[22]]$NR
[1] 0 0 1 2
[[23]]
[[23]]$times
[1] 0.000000 3.254634 13.673154 21.069828
[[23]]$NS
[1] 2 1 1 1
[[23]]$NI
[1] 1 2 1 0
[[23]]$NR
[1] 0 0 1 2
[[24]]
[[24]]$times
[1] 0.00000 18.01982 18.36106 44.55144
[[24]]$NS
[1] 2 1 1 1
[[24]]$NI
[1] 1 2 1 0
[[24]]$NR
[1] 0 0 1 2
[[25]]
[[25]]$times
[1] 0.00000 18.09036 30.47469 36.51570
[[25]]$NS
[1] 2 1 1 1
[[25]]$NI
[1] 1 2 1 0
[[25]]$NR
[1] 0 0 1 2
[[26]]
[[26]]$times
[1] 0.00000 11.21296
[[26]]$NS
[1] 2 2
[[26]]$NI
[1] 1 0
[[26]]$NR
[1] 0 1
[[27]]
[[27]]$times
[1] 0.000000 1.605373
[[27]]$NS
[1] 2 2
[[27]]$NI
[1] 1 0
[[27]]$NR
[1] 0 1
[[28]]
[[28]]$times
[1] 0.000000 3.448751 12.086502 17.941228
[[28]]$NS
[1] 2 1 1 1
[[28]]$NI
[1] 1 2 1 0
[[28]]$NR
[1] 0 0 1 2
[[29]]
[[29]]$times
[1] 0.000000 8.277924
[[29]]$NS
[1] 2 2
[[29]]$NI
[1] 1 0
[[29]]$NR
[1] 0 1
[[30]]
[[30]]$times
[1] 0.000000 9.146159
[[30]]$NS
[1] 2 2
[[30]]$NI
[1] 1 0
[[30]]$NR
[1] 0 1
[[31]]
[[31]]$times
[1] 0.00000000 0.07833588
[[31]]$NS
[1] 2 2
[[31]]$NI
[1] 1 0
[[31]]$NR
[1] 0 1
[[32]]
[[32]]$times
[1] 0.000000 7.825191
[[32]]$NS
[1] 2 2
[[32]]$NI
[1] 1 0
[[32]]$NR
[1] 0 1
[[33]]
[[33]]$times
[1] 0.0000000 0.4018017
[[33]]$NS
[1] 2 2
[[33]]$NI
[1] 1 0
[[33]]$NR
[1] 0 1
[[34]]
[[34]]$times
[1] 0.000000 1.433794
[[34]]$NS
[1] 2 2
[[34]]$NI
[1] 1 0
[[34]]$NR
[1] 0 1
[[35]]
[[35]]$times
[1] 0.00000000 0.06959151 2.61176819 2.76819228
[[35]]$NS
[1] 2 1 1 1
[[35]]$NI
[1] 1 2 1 0
[[35]]$NR
[1] 0 0 1 2
[[36]]
[[36]]$times
[1] 0.000000 1.539839 17.502742 21.550799 31.779748 59.056912
[[36]]$NS
[1] 2 1 0 0 0 0
[[36]]$NI
[1] 1 2 3 2 1 0
[[36]]$NR
[1] 0 0 0 1 2 3
[[37]]
[[37]]$times
[1] 0.000000 8.878624
[[37]]$NS
[1] 2 2
[[37]]$NI
[1] 1 0
[[37]]$NR
[1] 0 1
[[38]]
[[38]]$times
[1] 0.000000 6.855525
[[38]]$NS
[1] 2 2
[[38]]$NI
[1] 1 0
[[38]]$NR
[1] 0 1
[[39]]
[[39]]$times
[1] 0.000000 2.628739 3.809460 7.051204
[[39]]$NS
[1] 2 1 1 1
[[39]]$NI
[1] 1 2 1 0
[[39]]$NR
[1] 0 0 1 2
[[40]]
[[40]]$times
[1] 0.000000 2.484282
[[40]]$NS
[1] 2 2
[[40]]$NI
[1] 1 0
[[40]]$NR
[1] 0 1
[[41]]
[[41]]$times
[1] 0.0000000 0.8248393
[[41]]$NS
[1] 2 2
[[41]]$NI
[1] 1 0
[[41]]$NR
[1] 0 1
[[42]]
[[42]]$times
[1] 0.000000 2.300359 3.886947 6.810196 7.223496 28.297207
[[42]]$NS
[1] 2 1 0 0 0 0
[[42]]$NI
[1] 1 2 3 2 1 0
[[42]]$NR
[1] 0 0 0 1 2 3
[[43]]
[[43]]$times
[1] 0.00000 5.52241 10.93993 29.15486
[[43]]$NS
[1] 2 1 1 1
[[43]]$NI
[1] 1 2 1 0
[[43]]$NR
[1] 0 0 1 2
[[44]]
[[44]]$times
[1] 0.000000 9.526317 12.154710 21.171748
[[44]]$NS
[1] 2 1 1 1
[[44]]$NI
[1] 1 2 1 0
[[44]]$NR
[1] 0 0 1 2
[[45]]
[[45]]$times
[1] 0.000000 4.448428
[[45]]$NS
[1] 2 2
[[45]]$NI
[1] 1 0
[[45]]$NR
[1] 0 1
[[46]]
[[46]]$times
[1] 0.0000000 0.0560511
[[46]]$NS
[1] 2 2
[[46]]$NI
[1] 1 0
[[46]]$NR
[1] 0 1
[[47]]
[[47]]$times
[1] 0.00000 11.57560 12.20970 12.58732 26.47299 36.19628
[[47]]$NS
[1] 2 1 0 0 0 0
[[47]]$NI
[1] 1 2 3 2 1 0
[[47]]$NR
[1] 0 0 0 1 2 3
[[48]]
[[48]]$times
[1] 0.000000 3.687231
[[48]]$NS
[1] 2 2
[[48]]$NI
[1] 1 0
[[48]]$NR
[1] 0 1
[[49]]
[[49]]$times
[1] 0.0000000 0.3436458 1.0908931 1.4640857
[[49]]$NS
[1] 2 1 1 1
[[49]]$NI
[1] 1 2 1 0
[[49]]$NR
[1] 0 0 1 2
[[50]]
[[50]]$times
[1] 0.000000 1.536136
[[50]]$NS
[1] 2 2
[[50]]$NI
[1] 1 0
[[50]]$NR
[1] 0 1
[[51]]
[[51]]$times
[1] 0.000000 2.021208
[[51]]$NS
[1] 2 2
[[51]]$NI
[1] 1 0
[[51]]$NR
[1] 0 1
[[52]]
[[52]]$times
[1] 0.00000 4.29424
[[52]]$NS
[1] 2 2
[[52]]$NI
[1] 1 0
[[52]]$NR
[1] 0 1
[[53]]
[[53]]$times
[1] 0.000000 1.884908 5.139700 8.417338 12.272436 15.154107
[[53]]$NS
[1] 2 1 0 0 0 0
[[53]]$NI
[1] 1 2 3 2 1 0
[[53]]$NR
[1] 0 0 0 1 2 3
[[54]]
[[54]]$times
[1] 0.0000000 0.1997796
[[54]]$NS
[1] 2 2
[[54]]$NI
[1] 1 0
[[54]]$NR
[1] 0 1
[[55]]
[[55]]$times
[1] 0.0000000 0.1825065
[[55]]$NS
[1] 2 2
[[55]]$NI
[1] 1 0
[[55]]$NR
[1] 0 1
[[56]]
[[56]]$times
[1] 0.000000 1.913698 2.656593 7.598135
[[56]]$NS
[1] 2 1 1 1
[[56]]$NI
[1] 1 2 1 0
[[56]]$NR
[1] 0 0 1 2
[[57]]
[[57]]$times
[1] 0.000000 3.435708
[[57]]$NS
[1] 2 2
[[57]]$NI
[1] 1 0
[[57]]$NR
[1] 0 1
[[58]]
[[58]]$times
[1] 0.000000 0.583133 5.284710 10.065112 18.657681 21.137430
[[58]]$NS
[1] 2 1 1 0 0 0
[[58]]$NI
[1] 1 2 1 2 1 0
[[58]]$NR
[1] 0 0 1 1 2 3
[[59]]
[[59]]$times
[1] 0.000000 8.526031
[[59]]$NS
[1] 2 2
[[59]]$NI
[1] 1 0
[[59]]$NR
[1] 0 1
[[60]]
[[60]]$times
[1] 0.000000 3.470768
[[60]]$NS
[1] 2 2
[[60]]$NI
[1] 1 0
[[60]]$NR
[1] 0 1
[[61]]
[[61]]$times
[1] 0.000000 2.311806
[[61]]$NS
[1] 2 2
[[61]]$NI
[1] 1 0
[[61]]$NR
[1] 0 1
[[62]]
[[62]]$times
[1] 0.000000 5.603495
[[62]]$NS
[1] 2 2
[[62]]$NI
[1] 1 0
[[62]]$NR
[1] 0 1
[[63]]
[[63]]$times
[1] 0.0000000 0.2376974
[[63]]$NS
[1] 2 2
[[63]]$NI
[1] 1 0
[[63]]$NR
[1] 0 1
[[64]]
[[64]]$times
[1] 0.000000 1.164209 4.169140 7.017509
[[64]]$NS
[1] 2 1 1 1
[[64]]$NI
[1] 1 2 1 0
[[64]]$NR
[1] 0 0 1 2
[[65]]
[[65]]$times
[1] 0.000000 6.415227 6.561435 14.007083
[[65]]$NS
[1] 2 1 1 1
[[65]]$NI
[1] 1 2 1 0
[[65]]$NR
[1] 0 0 1 2
[[66]]
[[66]]$times
[1] 0.00000 14.28491 31.69273 39.51170
[[66]]$NS
[1] 2 1 1 1
[[66]]$NI
[1] 1 2 1 0
[[66]]$NR
[1] 0 0 1 2
[[67]]
[[67]]$times
[1] 0.000000 3.592755 4.363836 11.200455
[[67]]$NS
[1] 2 1 1 1
[[67]]$NI
[1] 1 2 1 0
[[67]]$NR
[1] 0 0 1 2
[[68]]
[[68]]$times
[1] 0.000000 8.044133 10.227368 12.702160 16.225120 23.696870
[[68]]$NS
[1] 2 1 1 0 0 0
[[68]]$NI
[1] 1 2 1 2 1 0
[[68]]$NR
[1] 0 0 1 1 2 3
[[69]]
[[69]]$times
[1] 0.000000 3.324148
[[69]]$NS
[1] 2 2
[[69]]$NI
[1] 1 0
[[69]]$NR
[1] 0 1
[[70]]
[[70]]$times
[1] 0.000000 6.316816
[[70]]$NS
[1] 2 2
[[70]]$NI
[1] 1 0
[[70]]$NR
[1] 0 1
[[71]]
[[71]]$times
[1] 0.000000 7.473339 7.757794 15.139281
[[71]]$NS
[1] 2 1 1 1
[[71]]$NI
[1] 1 2 1 0
[[71]]$NR
[1] 0 0 1 2
[[72]]
[[72]]$times
[1] 0.000000 4.073649 6.034897 8.135670
[[72]]$NS
[1] 2 1 1 1
[[72]]$NI
[1] 1 2 1 0
[[72]]$NR
[1] 0 0 1 2
[[73]]
[[73]]$times
[1] 0.00000 1.60059
[[73]]$NS
[1] 2 2
[[73]]$NI
[1] 1 0
[[73]]$NR
[1] 0 1
[[74]]
[[74]]$times
[1] 0.000000 1.497596
[[74]]$NS
[1] 2 2
[[74]]$NI
[1] 1 0
[[74]]$NR
[1] 0 1
[[75]]
[[75]]$times
[1] 0.000000 1.916758
[[75]]$NS
[1] 2 2
[[75]]$NI
[1] 1 0
[[75]]$NR
[1] 0 1
[[76]]
[[76]]$times
[1] 0.0000000 0.8368377 4.1462512 14.4447646
[[76]]$NS
[1] 2 1 1 1
[[76]]$NI
[1] 1 2 1 0
[[76]]$NR
[1] 0 0 1 2
[[77]]
[[77]]$times
[1] 0.000000 8.546053 9.275575 11.920068 14.117820 14.371987
[[77]]$NS
[1] 2 1 0 0 0 0
[[77]]$NI
[1] 1 2 3 2 1 0
[[77]]$NR
[1] 0 0 0 1 2 3
[[78]]
[[78]]$times
[1] 0.000000 2.730273 6.669293 7.301694 14.402306 22.580301
[[78]]$NS
[1] 2 1 0 0 0 0
[[78]]$NI
[1] 1 2 3 2 1 0
[[78]]$NR
[1] 0 0 0 1 2 3
[[79]]
[[79]]$times
[1] 0.00000 13.02458
[[79]]$NS
[1] 2 2
[[79]]$NI
[1] 1 0
[[79]]$NR
[1] 0 1
[[80]]
[[80]]$times
[1] 0.000000 4.655717 10.847343 15.188912 38.570735 51.548959
[[80]]$NS
[1] 2 1 0 0 0 0
[[80]]$NI
[1] 1 2 3 2 1 0
[[80]]$NR
[1] 0 0 0 1 2 3
[[81]]
[[81]]$times
[1] 0.000000 7.919139 12.774389 13.210280 20.037088 27.652380
[[81]]$NS
[1] 2 1 0 0 0 0
[[81]]$NI
[1] 1 2 3 2 1 0
[[81]]$NR
[1] 0 0 0 1 2 3
[[82]]
[[82]]$times
[1] 0.000000 4.565727 4.640174 5.827227 8.181199 13.514984
[[82]]$NS
[1] 2 1 0 0 0 0
[[82]]$NI
[1] 1 2 3 2 1 0
[[82]]$NR
[1] 0 0 0 1 2 3
[[83]]
[[83]]$times
[1] 0.0000000 0.4331829
[[83]]$NS
[1] 2 2
[[83]]$NI
[1] 1 0
[[83]]$NR
[1] 0 1
[[84]]
[[84]]$times
[1] 0.0000000 0.5663187
[[84]]$NS
[1] 2 2
[[84]]$NI
[1] 1 0
[[84]]$NR
[1] 0 1
[[85]]
[[85]]$times
[1] 0.000000 4.717821 7.368033 15.405952 20.251957 28.844191
[[85]]$NS
[1] 2 1 0 0 0 0
[[85]]$NI
[1] 1 2 3 2 1 0
[[85]]$NR
[1] 0 0 0 1 2 3
[[86]]
[[86]]$times
[1] 0.00000 10.41346 13.17259 31.58865 35.49247 39.20284
[[86]]$NS
[1] 2 1 1 0 0 0
[[86]]$NI
[1] 1 2 1 2 1 0
[[86]]$NR
[1] 0 0 1 1 2 3
[[87]]
[[87]]$times
[1] 0.000000 7.800903
[[87]]$NS
[1] 2 2
[[87]]$NI
[1] 1 0
[[87]]$NR
[1] 0 1
[[88]]
[[88]]$times
[1] 0.000000 1.164975 2.214760 3.395779 4.269503 6.277390
[[88]]$NS
[1] 2 1 0 0 0 0
[[88]]$NI
[1] 1 2 3 2 1 0
[[88]]$NR
[1] 0 0 0 1 2 3
[[89]]
[[89]]$times
[1] 0.000000 1.419246 5.241578 10.249121
[[89]]$NS
[1] 2 1 1 1
[[89]]$NI
[1] 1 2 1 0
[[89]]$NR
[1] 0 0 1 2
[[90]]
[[90]]$times
[1] 0.000000 4.015171
[[90]]$NS
[1] 2 2
[[90]]$NI
[1] 1 0
[[90]]$NR
[1] 0 1
[[91]]
[[91]]$times
[1] 0.00000 10.95119 10.95895 13.37237 15.94527 20.47069
[[91]]$NS
[1] 2 1 0 0 0 0
[[91]]$NI
[1] 1 2 3 2 1 0
[[91]]$NR
[1] 0 0 0 1 2 3
[[92]]
[[92]]$times
[1] 0.000000 1.719506
[[92]]$NS
[1] 2 2
[[92]]$NI
[1] 1 0
[[92]]$NR
[1] 0 1
[[93]]
[[93]]$times
[1] 0.00000 20.34997 23.10320 33.53507 37.61908 42.59392
[[93]]$NS
[1] 2 1 0 0 0 0
[[93]]$NI
[1] 1 2 3 2 1 0
[[93]]$NR
[1] 0 0 0 1 2 3
[[94]]
[[94]]$times
[1] 0.000000 2.981562 4.220980 4.501876 5.930935 17.597979
[[94]]$NS
[1] 2 1 0 0 0 0
[[94]]$NI
[1] 1 2 3 2 1 0
[[94]]$NR
[1] 0 0 0 1 2 3
[[95]]
[[95]]$times
[1] 0.0000000 0.8570038 6.2225289 7.4542303
[[95]]$NS
[1] 2 1 1 1
[[95]]$NI
[1] 1 2 1 0
[[95]]$NR
[1] 0 0 1 2
[[96]]
[[96]]$times
[1] 0.00000 10.99346
[[96]]$NS
[1] 2 2
[[96]]$NI
[1] 1 0
[[96]]$NR
[1] 0 1
[[97]]
[[97]]$times
[1] 0.000000 6.324172 10.943694 11.370294
[[97]]$NS
[1] 2 1 1 1
[[97]]$NI
[1] 1 2 1 0
[[97]]$NR
[1] 0 0 1 2
[[98]]
[[98]]$times
[1] 0.00000000 0.07582625 1.04605163 3.19140611 3.57055288 9.94371399
[[98]]$NS
[1] 2 1 1 0 0 0
[[98]]$NI
[1] 1 2 1 2 1 0
[[98]]$NR
[1] 0 0 1 1 2 3
[[99]]
[[99]]$times
[1] 0.000000 1.910419
[[99]]$NS
[1] 2 2
[[99]]$NI
[1] 1 0
[[99]]$NR
[1] 0 1
[[100]]
[[100]]$times
[1] 0.000000 2.446835
[[100]]$NS
[1] 2 2
[[100]]$NI
[1] 1 0
[[100]]$NR
[1] 0 1
attr(,"class")
[1] "sir"
Code
sir_impl(g, beta = 0.1, gamma = 0.1, no.sim = 2)
Output
[[1]]
[[1]]$times
[1] 0.0000000 0.5059133 5.9903814 8.4444363
[[1]]$NS
[1] 2 1 1 1
[[1]]$NI
[1] 1 2 1 0
[[1]]$NR
[1] 0 0 1 2
[[2]]
[[2]]$times
[1] 0.000000 4.481524
[[2]]$NS
[1] 2 2
[[2]]$NI
[1] 1 0
[[2]]$NR
[1] 0 1
attr(,"class")
[1] "sir"
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
convex_hull_2d_impl(matrix(1:6, ncol = 2))
Output
$resverts
[1] 1 3
$rescoords
[,1] [,2]
[1,] 1 4
[2,] 3 6
Code
x
Condition
Warning in `convex_hull_2d_impl()`:
NAs introduced by coercion
Error in `convex_hull_2d_impl()`:
! REAL() can only be applied to a 'numeric', not a 'character'
Code
dim_select_impl(c(1, 2, 3))
Output
[1] 1
Code
x
Condition
Error in `dim_select_impl()`:
! At vendor/cigraph/src/misc/embedding.c:xx : Need at least one singular value for dimensionality selection, Invalid value
Code
solve_lsap_impl(matrix(1:4, ncol = 2), n = 2)
Output
[1] 0 1
Code
x
Condition
Warning in `solve_lsap_impl()`:
NAs introduced by coercion
Error in `solve_lsap_impl()`:
! REAL() can only be applied to a 'numeric', not a 'character'
Code
find_cycle_impl(g)
Output
$vertices
+ 0/3 vertices:
$edges
+ 0/2 edges:
Code
find_cycle_impl(g, mode = "in")
Output
$vertices
+ 0/3 vertices:
$edges
+ 0/2 edges:
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
simple_cycles_impl(g)
Output
$vertices
list()
$edges
list()
Code
simple_cycles_impl(g, mode = "in", min.cycle.length = 2, max.cycle.length = 3)
Output
$vertices
list()
$edges
list()
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_eulerian_impl(g)
Output
$has_path
[1] TRUE
$has_cycle
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
eulerian_path_impl(g)
Output
$epath
+ 2/2 edges:
[1] 1--2 2--3
$vpath
+ 3/3 vertices:
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
x
Condition
Error in `eulerian_cycle_impl()`:
! At vendor/cigraph/src/paths/eulerian.c:xx : The graph does not have an Eulerian cycle. Input problem has no solution
Code
eulerian_cycle_impl(g2)
Output
$epath
+ 4/4 edges:
[1] 1--2 2--3 3--4 1--4
$vpath
+ 5/4 vertices:
[1] 1 2 3 4 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
fundamental_cycles_impl(g, start = 1)
Output
list()
Code
fundamental_cycles_impl(g, start = 1, bfs.cutoff = 2, weights = c(1, 2))
Output
list()
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
minimum_cycle_basis_impl(g)
Output
list()
Code
minimum_cycle_basis_impl(g, bfs.cutoff = 2, complete = FALSE, use.cycle.order = FALSE,
weights = c(1, 2))
Output
list()
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_tree_impl(g)
Output
[1] TRUE
Code
is_tree_impl(g, mode = "in", details = TRUE)
Output
$res
[1] TRUE
$root
+ 1/3 vertex:
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_forest_impl(g)
Output
[1] TRUE
Code
is_forest_impl(g, mode = "in", details = TRUE)
Output
$res
[1] TRUE
$roots
+ 1/3 vertex:
[1] 1
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
from_prufer_impl(1:2)
Output
IGRAPH U--- 4 3 -- Tree from Prufer sequence
+ attr: name (g/c), prufer (g/n)
+ edges:
[1] 1--3 1--2 2--4
Code
x
Condition
Warning in `from_prufer_impl()`:
NAs introduced by coercion
Error in `from_prufer_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
to_prufer_impl(g)
Output
[1] 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
tree_from_parent_vector_impl(c(-1, 1, 2, 3))
Output
IGRAPH D--- 4 3 --
+ edges:
[1] 1->2 2->3 3->4
Code
tree_from_parent_vector_impl(c(-1, 1, 2, 3), type = "in")
Output
IGRAPH D--- 4 3 --
+ edges:
[1] 2->1 3->2 4->3
Code
x
Condition
Warning in `tree_from_parent_vector_impl()`:
NAs introduced by coercion
Error in `tree_from_parent_vector_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
is_complete_impl(g)
Output
[1] FALSE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
random_spanning_tree_impl(g, vid = 1)
Output
+ 2/2 edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
tree_game_impl(3)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 2--3 1--2
Code
tree_game_impl(3, directed = TRUE, method = "lerw")
Output
IGRAPH D--- 3 2 --
+ edges:
[1] 3->1 1->2
Code
x
Condition
Warning in `tree_game_impl()`:
NAs introduced by coercion
Error in `tree_game_impl()`:
! At rinterface_extra.c:xx : The value nan is not representable as an integer. Invalid value
Code
vertex_coloring_greedy_impl(g)
Output
[1] 2 1 2
Code
vertex_coloring_greedy_impl(g, heuristic = "dsatur")
Output
[1] 2 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_vertex_coloring_impl(g, types = c(1, 2, 3))
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_bipartite_coloring_impl(g, types = c(TRUE, FALSE, TRUE))
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
is_edge_coloring_impl(g, types = c(1, 2))
Output
[1] TRUE
Code
is_edge_coloring_impl(g)
Output
[1] TRUE
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
deterministic_optimal_imitation_impl(g, 1, quantities = c(1, 2, 3), strategies = c(
1, 2, 3))
Output
[1] 2 2 3
Code
deterministic_optimal_imitation_impl(g, 1, optimality = "minimum", quantities = c(
1, 2, 3), strategies = c(1, 2, 3), mode = "in")
Output
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
moran_process_impl(g, weights = c(1, 1), quantities = c(1, 2, 3), strategies = c(
1, 2, 3), mode = "in")
Output
$quantities
[1] 1 3 3
$strategies
[1] 1 3 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
roulette_wheel_imitation_impl(g, 1, TRUE, quantities = c(1, 2, 3), strategies = c(
1, 2, 3))
Output
[1] 1 2 3
Code
roulette_wheel_imitation_impl(g, 1, FALSE, quantities = c(1, 2, 3), strategies = c(
1, 2, 3), mode = "in")
Output
[1] 3 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
stochastic_imitation_impl(g, 1, algo = 1, quantities = c(1, 2, 3), strategies = c(
1, 2, 3))
Output
[1] 1 2 3
Code
stochastic_imitation_impl(g, 1, algo = 2, quantities = c(1, 2, 3), strategies = c(
1, 2, 3), mode = "in")
Output
[1] 1 2 3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
invalidate_cache_impl(g)
Output
IGRAPH U--- 3 2 --
+ edges:
[1] 1--2 2--3
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
vertex_path_from_edge_path_impl(g, start = 1, edge.path = c(1, 2))
Output
+ 3/3 vertices:
[1] 1 2 3
Code
vertex_path_from_edge_path_impl(g, start = 1, edge.path = c(1), mode = "in")
Output
+ 2/3 vertices:
[1] 1 2
Code
x
Condition
Error in `ensure_igraph()`:
! Must provide a graph object (provided `NULL`).
Code
version_impl_clean()
Output
[1] "0.10.17"
Code
x
Condition
Error in `version_impl()`:
! unused argument ("invalid")
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