Package index • netify

All functions

add_dyad_vars() add_edge_attributes(): Add dyadic variables to a netify object

add_node_vars() add_vertex_attributes(): Add nodal variables to a netify object

aggregate_dyad(): Aggregate dyadic event data by actor pairs

assemble_netify_plot(): Assemble netify plot from components

attribute_report(): Comprehensive summary of network-attribute relationships

compare_networks(): Compare networks across time, layers, or attributes

decompose_igraph(): Decompose an igraph object into base R components

decompose_netify(): Decompose a netify object into edge and node data frames

decompose_statnet() decompose_network(): Decompose a network object into base R components

dyad_correlation(): Analyze correlations between dyadic attributes and network ties

create_hierarchical_ego_layout() create_radial_ego_layout() create_ego_centric_layout(): Create ego-centric layouts for ego networks

ego_netify(): Create ego network from a netify object

gen_symm_id(): Generate symmetric identifiers for dyadic data

get_actor_time_info(): Extract actor time range information from dyadic data

get_adjacency(): Create a netify matrix from cross-sectional dyadic data

get_adjacency_array(): Create a netify array from longitudinal dyadic data

get_adjacency_list(): Create a netify list from longitudinal dyadic data

get_edge_layout(): Generate edge layout coordinates for netify visualization

get_ego_layout(): Calculate ego-centric layout positions for network visualization

get_node_layout(): Calculate node layout positions for netify visualization

get_raw(): Get raw network data without netify attributes

ggplot_add(<netify_edge>): Add netify_edge to ggplot

ggplot_add(<netify_label>): Add netify_label to ggplot

ggplot_add(<netify_label_repel>): Add netify_label_repel to ggplot

ggplot_add(<netify_labels>): Add netify scale labels to ggplot

ggplot_add(<netify_node>): Add netify_node to ggplot

ggplot_add(<netify_scale_reset>): Add scale resets to ggplot

ggplot_add(<netify_text>): Add netify_text to ggplot

ggplot_add(<netify_text_repel>): Add netify_text_repel to ggplot

homophily(): Analyze homophily in network data

icews: Event data slice from ICEWS

is_netify(): Is this object a netify object?

layer_netify(): Create multilayer networks from multiple netify objects

list_network_styles(): List available network styles

list_palettes(): List available color palettes

melt(): Melt methods for netify objects

mexico: Event data slice from UCDP on Mexico

mixing_matrix(): Create attribute mixing matrices for network data

mutate_weights(): Mutate edge weights in a netify object

myanmar: Event data slice from UCDP on Myanmar

net_plot_data(): Prepare netify data for network visualization

netify(): Create network object from various data types

netify_edge(): Extract edges layer from netify plot components

netify_label(): Extract label layer from netify plot components

netify_label_repel(): Extract label_repel layer from netify plot components

netify_measurements() measurements(): Extract measurements and dimensions from a netify object

netify_node(): Extract nodes layer from netify plot components

netify_scale_labels(): Set scale labels for netify plots

netify_text(): Extract text layer from netify plot components

netify_text_repel(): Extract text_repel layer from netify plot components

netify_to_amen() to_amen(): Convert netify objects to amen format

netify_to_igraph() to_igraph(): Convert netify objects to igraph format

netify_to_statnet() netify_to_network() to_statnet() to_network(): Convert netify objects to statnet network format

new_netify(): Low-level constructor for netify objects

peek(): Preview subsets of network data from netify objects

pivot_dyad_to_network(): Pivot a dyadic variable to become the network

plot(<netify>): Plotting method for netify objects

plot_actor_stats(): Visualize actor-level network statistics

plot_graph_stats(): Visualize network-level statistics

plot_homophily(): Visualize homophily analysis results

plot_mixing_matrix(): Visualize attribute mixing matrix results

plot_mixing_matrix_facet(): Create a multi-panel mixing matrix visualization

plot_with_style(): Apply style to netify plot

print(<netify>): Print method for netify objects

print(<netify_comparison>): Print method for netify_comparison objects

print(<netify_plot_components>): Print netify plot components

remove_ego_edges(): Remove ego-alter edges from ego network

reset_scales(): Reset aesthetic scales in ggplot

style_538(): FiveThirtyEight-inspired network style

style_bipartite_network(): Preset style for bipartite networks

style_budapest(): Wes Anderson-inspired network style (Grand Budapest Hotel)

style_cyberpunk(): Cyberpunk-inspired network style

style_dark2(): ColorBrewer Dark2-based network style

style_economist(): Economist-style network style

style_nature(): Nature journal-inspired network style

style_pastel(): Pastel rainbow network style

style_pokemon_pikachu(): Pokemon-style network style (Pikachu)

style_random(): Apply random network style

style_retro80s(): Retro 80s-inspired network style

style_secretariat(): Secretariat-style network style

style_solarized(): Solarized-inspired network style

style_stata(): Stata-inspired network style

style_temporal_network(): Preset style for temporal/longitudinal networks

style_tufte(): Minimal Tufte-inspired network style

style_witcher_feline(): Witcher 3 Feline School network style

style_witcher_griffin(): Witcher 3 Griffin School network style

style_witcher_manticore(): Witcher 3 Manticore School network style (bonus)

style_witcher_ursine(): Witcher 3 Ursine School network style

style_witcher_viper(): Witcher 3 Viper School network style (bonus)

style_witcher_wolven(): Witcher 3 Wolven School network style

subset(<netify>): Subset netify objects

summary(<netify>): Calculate graph-level statistics for netify objects

summary(<netify_comparison>): Summary method for netify_comparison objects

summary_actor(): Calculate actor-level network statistics

theme_netify(): theme_netify function

theme_stat_netify(): theme_stat_netify function

to_netify(): Convert igraph, network, or matrix objects to netify format

unnetify() netify_to_df(): Convert netify objects back to dyadic data frames