A B C D E F G I L M N P R S T U W misc
activate | Determine the context of subsequent manipulations |
active | Determine the context of subsequent manipulations |
as_tbl_graph | A data structure for tidy graph manipulation |
as_tbl_graph.data.frame | A data structure for tidy graph manipulation |
as_tbl_graph.default | A data structure for tidy graph manipulation |
as_tbl_graph.dendrogram | A data structure for tidy graph manipulation |
as_tbl_graph.evonet | A data structure for tidy graph manipulation |
as_tbl_graph.graphAM | A data structure for tidy graph manipulation |
as_tbl_graph.graphBAM | A data structure for tidy graph manipulation |
as_tbl_graph.graphNEL | A data structure for tidy graph manipulation |
as_tbl_graph.hclust | A data structure for tidy graph manipulation |
as_tbl_graph.igraph | A data structure for tidy graph manipulation |
as_tbl_graph.list | A data structure for tidy graph manipulation |
as_tbl_graph.matrix | A data structure for tidy graph manipulation |
as_tbl_graph.network | A data structure for tidy graph manipulation |
as_tbl_graph.Node | A data structure for tidy graph manipulation |
as_tbl_graph.phylo | A data structure for tidy graph manipulation |
bfs_after | Search a graph with depth first and breath first |
bfs_before | Search a graph with depth first and breath first |
bfs_dist | Search a graph with depth first and breath first |
bfs_parent | Search a graph with depth first and breath first |
bfs_rank | Search a graph with depth first and breath first |
bind_edges | Add graphs, nodes, or edges to a tbl_graph |
bind_graphs | Add graphs, nodes, or edges to a tbl_graph |
bind_nodes | Add graphs, nodes, or edges to a tbl_graph |
centrality | Calculate node and edge centrality |
centrality_alpha | Calculate node and edge centrality |
centrality_authority | Calculate node and edge centrality |
centrality_betweenness | Calculate node and edge centrality |
centrality_betweenness_communicability | Calculate node and edge centrality |
centrality_betweenness_current | Calculate node and edge centrality |
centrality_betweenness_network | Calculate node and edge centrality |
centrality_betweenness_rsp_net | Calculate node and edge centrality |
centrality_betweenness_rsp_simple | Calculate node and edge centrality |
centrality_closeness | Calculate node and edge centrality |
centrality_closeness_generalised | Calculate node and edge centrality |
centrality_closeness_harmonic | Calculate node and edge centrality |
centrality_closeness_residual | Calculate node and edge centrality |
centrality_communicability | Calculate node and edge centrality |
centrality_communicability_even | Calculate node and edge centrality |
centrality_communicability_odd | Calculate node and edge centrality |
centrality_decay | Calculate node and edge centrality |
centrality_degree | Calculate node and edge centrality |
centrality_edge_betweenness | Calculate node and edge centrality |
centrality_eigen | Calculate node and edge centrality |
centrality_expected | Calculate node and edge centrality |
centrality_harmonic | Calculate node and edge centrality |
centrality_hub | Calculate node and edge centrality |
centrality_information | Calculate node and edge centrality |
centrality_integration | Calculate node and edge centrality |
centrality_katz | Calculate node and edge centrality |
centrality_manual | Calculate node and edge centrality |
centrality_pagerank | Calculate node and edge centrality |
centrality_power | Calculate node and edge centrality |
centrality_random_walk | Calculate node and edge centrality |
centrality_subgraph | Calculate node and edge centrality |
centrality_subgraph_even | Calculate node and edge centrality |
centrality_subgraph_odd | Calculate node and edge centrality |
component_games | Graph games based on connected components |
context_accessors | Access graph, nodes, and edges directly inside verbs |
convert | Create a temporary alternative representation of the graph to compute on |
create_bipartite | Create different types of well-defined graphs |
create_chordal_ring | Create different types of well-defined graphs |
create_citation | Create different types of well-defined graphs |
create_complete | Create different types of well-defined graphs |
create_de_bruijn | Create different types of well-defined graphs |
create_empty | Create different types of well-defined graphs |
create_graphs | Create different types of well-defined graphs |
create_kautz | Create different types of well-defined graphs |
create_lattice | Create different types of well-defined graphs |
create_notable | Create different types of well-defined graphs |
create_path | Create different types of well-defined graphs |
create_ring | Create different types of well-defined graphs |
create_star | Create different types of well-defined graphs |
create_tree | Create different types of well-defined graphs |
crystallise | Create a temporary alternative representation of the graph to compute on |
crystallize | Create a temporary alternative representation of the graph to compute on |
dfs_dist | Search a graph with depth first and breath first |
dfs_parent | Search a graph with depth first and breath first |
dfs_rank | Search a graph with depth first and breath first |
dfs_rank_out | Search a graph with depth first and breath first |
edge_is_between | Querying edge types |
edge_is_bridge | Querying edge types |
edge_is_feedback_arc | Querying edge types |
edge_is_from | Querying edge types |
edge_is_incident | Querying edge types |
edge_is_loop | Querying edge types |
edge_is_multiple | Querying edge types |
edge_is_mutual | Querying edge types |
edge_is_to | Querying edge types |
edge_rank | Calculate edge ranking |
edge_rank_eulerian | Calculate edge ranking |
edge_types | Querying edge types |
evolution_games | Graph games based on evolution |
focus | Select specific nodes or edges to compute on |
focus.morphed_tbl_graph | Select specific nodes or edges to compute on |
focus.tbl_graph | Select specific nodes or edges to compute on |
graph_adhesion | Graph measurements |
graph_assortativity | Graph measurements |
graph_asym_count | Graph measurements |
graph_automorphisms | Graph measurements |
graph_clique_count | Graph measurements |
graph_clique_num | Graph measurements |
graph_component_count | Graph measurements |
graph_diameter | Graph measurements |
graph_efficiency | Graph measurements |
graph_girth | Graph measurements |
graph_is_bipartite | Querying graph types |
graph_is_chordal | Querying graph types |
graph_is_complete | Querying graph types |
graph_is_connected | Querying graph types |
graph_is_dag | Querying graph types |
graph_is_directed | Querying graph types |
graph_is_eulerian | Querying graph types |
graph_is_forest | Querying graph types |
graph_is_isomorphic_to | Querying graph types |
graph_is_simple | Querying graph types |
graph_is_subgraph_isomorphic_to | Querying graph types |
graph_is_tree | Querying graph types |
graph_join | Join graphs on common nodes |
graph_mean_dist | Graph measurements |
graph_measures | Graph measurements |
graph_min_cut | Graph measurements |
graph_modularity | Graph measurements |
graph_motif_count | Graph measurements |
graph_mutual_count | Graph measurements |
graph_order | Graph measurements |
graph_radius | Graph measurements |
graph_reciprocity | Graph measurements |
graph_size | Graph measurements |
graph_types | Querying graph types |
graph_unconn_count | Graph measurements |
group_biconnected_component | Group nodes and edges based on community structure |
group_color | Group nodes and edges based on community structure |
group_components | Group nodes and edges based on community structure |
group_edge_betweenness | Group nodes and edges based on community structure |
group_fast_greedy | Group nodes and edges based on community structure |
group_fluid | Group nodes and edges based on community structure |
group_graph | Group nodes and edges based on community structure |
group_infomap | Group nodes and edges based on community structure |
group_label_prop | Group nodes and edges based on community structure |
group_leading_eigen | Group nodes and edges based on community structure |
group_leiden | Group nodes and edges based on community structure |
group_louvain | Group nodes and edges based on community structure |
group_optimal | Group nodes and edges based on community structure |
group_spinglass | Group nodes and edges based on community structure |
group_walktrap | Group nodes and edges based on community structure |
is.tbl_graph | A data structure for tidy graph manipulation |
iterate | Repeatedly modify a graph by a function |
iterate_n | Repeatedly modify a graph by a function |
iterate_while | Repeatedly modify a graph by a function |
local_ave_degree | Measures based on the neighborhood of each node |
local_graph | Measures based on the neighborhood of each node |
local_members | Measures based on the neighborhood of each node |
local_size | Measures based on the neighborhood of each node |
local_transitivity | Measures based on the neighborhood of each node |
local_triangles | Measures based on the neighborhood of each node |
map_bfs | Apply a function to nodes in the order of a breath first search |
map_bfs_back | Apply a function to nodes in the reverse order of a breath first search |
map_bfs_back_chr | Apply a function to nodes in the reverse order of a breath first search |
map_bfs_back_dbl | Apply a function to nodes in the reverse order of a breath first search |
map_bfs_back_int | Apply a function to nodes in the reverse order of a breath first search |
map_bfs_back_lgl | Apply a function to nodes in the reverse order of a breath first search |
map_bfs_chr | Apply a function to nodes in the order of a breath first search |
map_bfs_dbl | Apply a function to nodes in the order of a breath first search |
map_bfs_int | Apply a function to nodes in the order of a breath first search |
map_bfs_lgl | Apply a function to nodes in the order of a breath first search |
map_dfs | Apply a function to nodes in the order of a depth first search |
map_dfs_back | Apply a function to nodes in the reverse order of a depth first search |
map_dfs_back_chr | Apply a function to nodes in the reverse order of a depth first search |
map_dfs_back_dbl | Apply a function to nodes in the reverse order of a depth first search |
map_dfs_back_int | Apply a function to nodes in the reverse order of a depth first search |
map_dfs_back_lgl | Apply a function to nodes in the reverse order of a depth first search |
map_dfs_chr | Apply a function to nodes in the order of a depth first search |
map_dfs_dbl | Apply a function to nodes in the order of a depth first search |
map_dfs_int | Apply a function to nodes in the order of a depth first search |
map_dfs_lgl | Apply a function to nodes in the order of a depth first search |
map_local | Map a function over a graph representing the neighborhood of each node |
map_local_chr | Map a function over a graph representing the neighborhood of each node |
map_local_dbl | Map a function over a graph representing the neighborhood of each node |
map_local_int | Map a function over a graph representing the neighborhood of each node |
map_local_lgl | Map a function over a graph representing the neighborhood of each node |
morph | Create a temporary alternative representation of the graph to compute on |
morphers | Functions to generate alternate representations of graphs |
node_adhesion_from | Calculate node pair properties |
node_adhesion_to | Calculate node pair properties |
node_bibcoupling_with | Calculate node pair properties |
node_bridging_score | Querying node measures |
node_closeness_impact | Querying node measures |
node_cocitation_with | Calculate node pair properties |
node_cohesion_from | Calculate node pair properties |
node_cohesion_to | Calculate node pair properties |
node_connectivity_impact | Querying node measures |
node_constraint | Querying node measures |
node_coreness | Querying node measures |
node_distance_from | Calculate node pair properties |
node_distance_to | Calculate node pair properties |
node_diversity | Querying node measures |
node_dominator | Node properties related to the graph topology |
node_eccentricity | Querying node measures |
node_effective_network_size | Querying node measures |
node_efficiency | Querying node measures |
node_fareness_impact | Querying node measures |
node_is_adjacent | Querying node types |
node_is_center | Querying node types |
node_is_connected | Querying node types |
node_is_cut | Querying node types |
node_is_isolated | Querying node types |
node_is_keyplayer | Querying node types |
node_is_leaf | Querying node types |
node_is_root | Querying node types |
node_is_simplical | Querying node types |
node_is_sink | Querying node types |
node_is_source | Querying node types |
node_is_universal | Querying node types |
node_max_flow_from | Calculate node pair properties |
node_max_flow_to | Calculate node pair properties |
node_measures | Querying node measures |
node_rank | Calculate node ranking |
node_rank_anneal | Calculate node ranking |
node_rank_branch_bound | Calculate node ranking |
node_rank_dendser | Calculate node ranking |
node_rank_genetic | Calculate node ranking |
node_rank_hclust | Calculate node ranking |
node_rank_leafsort | Calculate node ranking |
node_rank_mds | Calculate node ranking |
node_rank_quadratic | Calculate node ranking |
node_rank_spectral | Calculate node ranking |
node_rank_spin_in | Calculate node ranking |
node_rank_spin_out | Calculate node ranking |
node_rank_traveller | Calculate node ranking |
node_rank_two | Calculate node ranking |
node_rank_visual | Calculate node ranking |
node_similarity_with | Calculate node pair properties |
node_topology | Node properties related to the graph topology |
node_topo_order | Node properties related to the graph topology |
node_types | Querying node types |
pair_measures | Calculate node pair properties |
play_barabasi_albert | Graph games based on evolution |
play_barabasi_albert_aging | Graph games based on evolution |
play_bipartite | Graph games based on different node types |
play_blocks | Graph games based on connected components |
play_blocks_hierarchy | Graph games based on connected components |
play_citation_age | Graph games based on evolution |
play_citation_type | Graph games based on different node types |
play_degree | Graph games based on direct sampling |
play_dotprod | Graph games based on direct sampling |
play_erdos_renyi | Graph games based on direct sampling |
play_fitness | Graph games based on direct sampling |
play_fitness_power | Graph games based on direct sampling |
play_forestfire | Graph games based on evolution |
play_geometry | Graph games based on direct sampling |
play_gnm | Graph games based on direct sampling |
play_gnp | Graph games based on direct sampling |
play_growing | Graph games based on evolution |
play_islands | Graph games based on connected components |
play_preference | Graph games based on different node types |
play_preference_asym | Graph games based on different node types |
play_smallworld | Graph games based on connected components |
play_traits | Graph games based on different node types |
random_walk_rank | Perform a random walk on the graph and return encounter rank |
reroute | Change terminal nodes of edges |
sampling_games | Graph games based on direct sampling |
search_graph | Search a graph with depth first and breath first |
tbl_graph | A data structure for tidy graph manipulation |
to_bfs_tree | Functions to generate alternate representations of graphs |
to_complement | Functions to generate alternate representations of graphs |
to_components | Functions to generate alternate representations of graphs |
to_contracted | Functions to generate alternate representations of graphs |
to_dfs_tree | Functions to generate alternate representations of graphs |
to_directed | Functions to generate alternate representations of graphs |
to_dominator_tree | Functions to generate alternate representations of graphs |
to_hierarchical_clusters | Functions to generate alternate representations of graphs |
to_largest_component | Functions to generate alternate representations of graphs |
to_linegraph | Functions to generate alternate representations of graphs |
to_local_neighborhood | Functions to generate alternate representations of graphs |
to_minimum_spanning_tree | Functions to generate alternate representations of graphs |
to_random_spanning_tree | Functions to generate alternate representations of graphs |
to_shortest_path | Functions to generate alternate representations of graphs |
to_simple | Functions to generate alternate representations of graphs |
to_split | Functions to generate alternate representations of graphs |
to_subcomponent | Functions to generate alternate representations of graphs |
to_subgraph | Functions to generate alternate representations of graphs |
to_undirected | Functions to generate alternate representations of graphs |
to_unfolded_tree | Functions to generate alternate representations of graphs |
type_games | Graph games based on different node types |
unfocus | Select specific nodes or edges to compute on |
unfocus.focused_tbl_graph | Select specific nodes or edges to compute on |
unfocus.morphed_tbl_graph | Select specific nodes or edges to compute on |
unfocus.tbl_graph | Select specific nodes or edges to compute on |
unmorph | Create a temporary alternative representation of the graph to compute on |
with_graph | Evaluate a tidygraph algorithm in the context of a graph |
%E>% | Determine the context of subsequent manipulations |
%N>% | Determine the context of subsequent manipulations |
.E | Access graph, nodes, and edges directly inside verbs |
.G | Access graph, nodes, and edges directly inside verbs |
.N | Access graph, nodes, and edges directly inside verbs |