grViz() and mermaid()Fix malformed CSS selector in htmlwidgets/grViz.js
Only call replace_na(replace = "") on character columns
Added the envir argument to the grViz and replace_in_spec functions.
set_df_as_node_attr(), set_df_as_edge_attr(), and get_attr_dfs() functions.Added the helper functions node_aes(), node_data(), edge_aes(), and edge_data() to facilitate the binding of node and edge aesthetic and data attribute values; several functions now have namesake arguments that accept these functions’ output.
Information about the graph is now displayed in the console when the graph object is called
Error messages are now more helpful and try to provide pointers for the more common errors
Added functions to generate 2D and 3D grid graphs (add_grid_2d() and add_grid_3d())
Added _ws (with selection) variants of the mutate_[node/edge]_attrs() functions for mutating node or edge attributes for only those nodes/edges in an active selection
Incorporated an edges argument into the select_edges() function in order to filter the selection of edges to a set of edge ID values
Reduced the dependency on R to version >= 3.2.0
Added functions to generate 2D and 3D grid graphs (add_grid_2d() and add_grid_3d())
Added _ws (with selection) variants of the mutate_[node/edge]_attrs() functions for mutating node or edge attributes for only those nodes/edges in an active selection
Incorporated an edges argument into the select_edges() function in order to filter the selection of edges to a set of edge ID values
Reduced the dependency on R to version >= 3.2.0
Simplified many functions internally
Added a default print method for graph objects
Allowed use of bare node or edge attribute names in many functions
Implemented graph actions as a means to run one or more functions at every graph transformation step; for example, this can be used to automatically update a node attribute such as betweenness whenever modifications to the graph are made (e.g., adding nodes, removing edges, etc.)
Data frames can be set as node or edge attributes with the set_df_as_node_attr() and set_df_as_edge_attr() functions; the get_attr_dfs() function allows for retrieval of stored data frame data
Added two new graph-generating functions (add_gnp_graph(), add_pa_graph(), and create_complement_graph())
Added functions to clone existing nodes and edges (add_n_node_clones() and add_edge_clone())
Added several count_* functions (count_asymmetric_node_pairs(), count_automorphisms(), etc.)
Added new functions to obtain graph properties (get_adhesion(), get_girth(), get_reciprocity(), etc.)
Added several is_* functions for graph and edge properties (e.g., is_edge_loop(), is_graph_dag(), etc.)
The mutate_node_attrs() and mutate_edge_attrs() functions now have simpler and more powerful interfaces for mutating node and edge attributes
Graphs can be easily saved to disk (and read from disk) using the save_graph() and open_graph() functions
Modified basic structure of node and edge data frames such that ID values are automatically set as integer values
Just as nodes do, edges now have edge ID values (they can be obtained using get_edge_ids() and they can be used directly in the select_edges_by_edge_id() function)
When created, a graph object automatically generates a graph ID and graph name (which can be modified using set_graph_name())
So long as node label values are unique, they may now be used to compose edges using the add_edge() function with use_labels = TRUE
Quickly and flexibly add color to nodes and edges using the colorize_node_attrs() and colorize_edge_attrs() functions
Added functions to selectively modify existing node and edge attributes: copy_[node/edge]_attrs(), drop_[node/edge]_attrs(), mutate_[node/edge]_attrs(), recode_[node/edge]_attrs(), rename_[node/edge]_attrs(), and rescale_[node/edge]_attrs().
New node and edge attributes can now be easily added to a graph via a data frame using the join_node_attrs() and join_edge_attrs() functions
Several graph generators are available for quickly adding graph primitives to a graph object (add_balanced_tree(), add_cycle(), add_full_graph(), add_path(), add_prism(), and add_star())
All traversal functions can now migrate numeric node or edge attribute values to the traversed edges (e.g., trav_out_edge(), trav_in_node()) by providing an attribute name to copy_attrs_from; for those traversal functions where nodes or edges may receive multiple values, one can specify an aggregation type in their agg argument (e.g,. trav_in_node(), trav_both_edge())
Multiple conditions can be specified for all traversal types and for the select_nodes() and select_edges() functions, plus, they are much easier to write
Added the mk_cond() helper function for creating conditions for any of the traversal functions (trav_...()), and, the select_nodes() and select_edges() functions; this helper allows for easier composition of selection/traversal conditions using variables and/or function calls
With a selection of edges one can now use select_rev_edges_ws() to transform that selection to that of the selected edges’ reverse edges (where available); the option is there to add the reverse edges to the edge selection or to simply replace the current selection
Caching attributes for later use has been made simpler with a collection of cache_...() functions (or, set the cache explicitly using set_cache()); get the graph’s cache using the get_cache() function
Added functions to allow for layout control of nodes (set_node_position(), layout_nodes_w_string(), nudge_node_positions())
Added functions to convert DiagrammeR graphs to igraph graphs and vice versa (to_igraph(), from_igraph())
Now you can create a graph from an adjacency matrix (from_adj_matrix())
Added functions to get community membership with a variety of algorithms: get_cmty_edge_btwns(), get_cmty_fast_greedy(), get_cmty_l_eigenvec(), get_cmty_louvain(), and get_cmty_walktrap().
Added functions to determine similarity coefficient scores for graph nodes: get_dice_similarity() and get_dice_similarity().
Constraint scores for nodes can now be determined using the get_constraint() function
Functions for getting information on nodes neighbors have been added: get_nbrs(), get_non_nbrs(), get_similar_nbrs().
Groups of nodes that are weakly or strongly connected components can be determined using the get_w_connected_cmpts() and get_s_connected_cmpts() functions
Get articulation points (i.e., nodes that, when removed, disconnect the graph) with the get_articulation_points() function
Obtain centrality measures for graph nodes using the get_closeness() and get_betweenness() functions
Get the minimum-spanning tree subgraph from a graph with weighted edges using the get_min_spanning_tree() function
The edge direction may be reversed for an entire graph (rev_edge_dir()) or for part of a graph using an edge selection (rev_edge_dir_ws())
Depth-first search and breadth-first search algorithms are available in the do_dfs() and do_bfs() functions
Degree data for plots can now be easily obtained using the get_degree_distribution() and get_degree_histogram() functions
Global graph attributes are now more easily modifiable using a set of functions for this purpose: add_global_graph_attrs(), clear_global_graph_attrs(), delete_global_graph_attrs(), get_global_graph_attrs(), set_global_graph_attrs()
Added option to display different text labels on nodes via the display node attribute; this is easily set with the set_node_attr_to_display() function
Rewrote many graph functions (e.g. traversals) so that they are faster for very large graphs
A log of all graph functions that directly modify the graph is now part of the graph object (graph$graph_log)
Added functionality to automatically generate graph backups at every graph modification; this is in the form of RDS files deposited in a subdirectory (name is based on the graph ID) of the working directory; the option (write_backups, set to FALSE by default) is available in all functions that initialize a graph object (create_graph(), create_random_graph(), from_igraph(), from_adj_matrix())
Revised many graph functions so they work better together
Added many testthat tests to maintain the quality of the graph functions
Added functions create_random_graph(), import_graph(), combine_graphs(), country_graph() and select_graph_from_series()
Added support for visNetwork graphs as a rendering option with render_graph()
Renamed functions graphviz_graph() and graphviz_render() to create_graph() and render_graph(), respectively
Removed function graphviz_export() (exporting now handled with render_graph())
Added several new functions to inspect, analyze, and modify graphs: display_graph_object(), node_info(), edge_info(), node_present(), edge_present(), get_nodes(), get_edges(), get_predecessors(), get_successors(), node_count(), edge_count(), is_graph_empty(), is_graph_directed(), add_node(), add_edges(), delete_node(), delete_edge(), node_type(), edge_relationship(), create_series(), add_to_series(), remove_from_series(), graph_count(), subset_series(), trigger_script(), render_graph_from_series(), and series_info()
Added several functions to work with graphs: create_nodes(), create_edges(), combine_nodes(), combine_edges(), scale_nodes(), scale_edges(), get_nodes(), node_info(), graphviz_graph(), graphviz_render(), and graphviz_export()
Removed the graphviz_nodes_edges_df() and graphviz_single_df() functions
Added support for subgraphs and Gantt charts in mermaid diagrams
Added function graphviz_nodes_edges_df() for generating Graphviz DOT code that defines nodes and edges (and their attributes) from data in two data frames: one for nodes, the other for the edge operations
Added function graphviz_single_df() for generating Graphviz DOT code from a single data frame
Incorporated the new substitution operators @_{...} or @^{...} in grViz statements for subscripting and superscripting, respectively
Added support for substitution in Graphviz graph specifications
Added support for Graphviz diagrams in the Shiny app
Initial release
Incorporated into the htmlwidgets framework
Added basic shiny app