Tools for Network Data Workflows

Documentation for package ‘netify’ version 1.5.3

Help Pages

-- A --

add_dyad_vars	Add dyadic variables to a netify object
add_edge_attributes	Add dyadic variables to a netify object
add_node_vars	Add nodal variables to a netify object
add_vertex_attributes	Add nodal variables to a netify object
aggregate_dyad	Aggregate dyadic event data by actor pairs
animate_netify	Animate a longitudinal netify object with gganimate
as.igraph.netify	as.igraph method for netify objects
as.matrix.netify	coerce a netify object to a plain matrix
as.network.netify	as.network method for netify objects
assemble_netify_plot	assemble netify plot from components
as_tibble.netify	convert a netify object to a tibble (long edge frame)
as_tibble.netify_comparison	Convert a netify_comparison to a tibble
attribute_report	Summary of network-attribute relationships

-- B --

binarize	Binarize a netify object at a threshold
bind_netifies	Combine multiple netify objects
bootstrap_netlet	Bootstrap any user-supplied function of a netify object

-- C --

classroom_edges	synthetic high-school friendship edgelist
classroom_nodes	Synthetic high-school friendship roster (nodes)
compare_networks	Compare networks across time, layers, or attributes
compare_to_null	Test an observed network statistic against a NULL distribution
create_ego_centric_layout	Create ego-centric layouts for ego networks
create_hierarchical_ego_layout	Create ego-centric layouts for ego networks
create_radial_ego_layout	Create ego-centric layouts for ego networks

-- D --

decompose_igraph	decompose an igraph object into base r components
decompose_netify	Decompose a netify object into edge and node data frames
decompose_network	decompose a network object into base r components
decompose_statnet	decompose a network object into base r components
drop_na_actors	Drop actors with NA covariates from a netify object
dyad_correlation	Analyze correlations between dyadic attributes and network ties

-- E --

ego_layouts	Create ego-centric layouts for ego networks
ego_netify	Create ego network from a netify object

-- F --

from_lame_fit

Convert a fitted 'lame'/'amen' AME object back into a netify

-- G --

gen_symm_id	generate symmetric identifiers for dyadic data
get_actor_time_info	Extract actor time range information
get_actor_time_info.data.frame	Extract actor time range information
get_actor_time_info.default	Extract actor time range information
get_actor_time_info.netify	Extract actor time range information
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_labels	add netify scale labels to ggplot
ggplot_add.netify_label_repel	add netify_label_repel 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
glance.netify	one-row-per-network summary of a netify object (broom style)

-- H --

homophily

Analyze homophily in network data

-- I --

icews	Event data slice from ICEWS
is_binary	Type predicates and convenience accessors for netify objects
is_bipartite	Type predicates and convenience accessors for netify objects
is_bipartite_netify	Type predicates and convenience accessors for netify objects
is_directed_netify	Type predicates and convenience accessors for netify objects
is_longitudinal	Type predicates and convenience accessors for netify objects
is_multilayer	Type predicates and convenience accessors for netify objects
is_netify	is this object a netify object?
is_symmetric_netify	Type predicates and convenience accessors for netify objects

-- L --

layer_netify	Create multilayer networks from multiple netify objects
list_network_styles	list available network styles
list_palettes	list available color palettes

-- M --

measurements	Extract measurements and dimensions from a netify object
melt	Melt methods for netify objects
melt.netify	Melt methods for netify objects
merge.netify	merge method for netify objects (s3 alias for 'bind_netifies')
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

-- N --

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	Extract measurements and dimensions from a netify object
netify_node	extract nodes layer from netify plot components
netify_predicates	Type predicates and convenience accessors for netify objects
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	Convert netify objects to amen format
netify_to_dbn	Convert netify objects to dbn format
netify_to_df	Convert netify objects back to dyadic data frames
netify_to_igraph	Convert netify objects to igraph format
netify_to_lame	Convert a netify object to the format expected by 'lame::ame()'
netify_to_network	Convert netify objects to statnet network format
netify_to_statnet	Convert netify objects to statnet network format
netify_workflows	Common netify workflows - index of patterns
net_plot_data	Prepare netify data for network visualization
new_netify	low-level constructor for netify objects
nodal_data	Type predicates and convenience accessors for netify objects
n_actors	Type predicates and convenience accessors for netify objects
n_layers	Type predicates and convenience accessors for netify objects
n_periods	Type predicates and convenience accessors for netify objects

-- P --

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.netify_comparison	Plot method for 'netify_comparison' objects
plot.summary.netify	plot graph-level summary statistics
plot.summary_actor	plot method for summary_actor output
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

-- R --

read_external	Read a network from common file formats into a netify object
read_gml	Read a network from common file formats into a netify object
read_graphml	Read a network from common file formats into a netify object
read_pajek	Read a network from common file formats into a netify object
remove_ego_edges	remove ego-alter edges from ego network
reset_scales	reset aesthetic scales in ggplot

-- S --

simulate.netify	Simulate NULL-model networks from a netify object
style_bipartite_network	preset style for bipartite networks
style_black_yellow	black and yellow network style
style_bronze_block	bronze block network style
style_crimson_silver	crimson and silver network style
style_cyberpunk	cyberpunk-inspired network style
style_dark2	colorbrewer dark2-based network style
style_green_gold	green and gold network style
style_lime_magenta	lime and magenta network style
style_navy_maroon	navy and maroon network style
style_orange_teal	orange and teal network style
style_pastel	pastel rainbow network style
style_racing_blue	racing blue network style
style_random	apply random network style
style_red_blue	red and blue network style
style_retro80s	retro 80s-inspired network style
style_rose	rose network style
style_scientific_blue	scientific blue network style
style_slate_silver	slate and silver network style
style_solarized	solarized-inspired network style
style_sunburst	sunburst network style
style_temporal_network	preset style for temporal/longitudinal networks
style_tufte	minimal tufte-inspired 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

-- T --

theme_netify	theme_netify function
theme_publication_netify	ggplot theme for netify network plots
theme_publication_netify_ts	ggplot theme for netify time-series / stat plots
theme_stat_netify	theme_stat_netify function
tidy.netify	Tidy a netify object into a long edge data frame
to_amen	Convert netify objects to amen format
to_dbn	Convert netify objects to dbn format
to_igraph	Convert netify objects to igraph format
to_lame	Convert a netify object to the format expected by 'lame::ame()'
to_netify	Convert igraph, network, or matrix objects to netify format
to_network	Convert netify objects to statnet network format
to_statnet	Convert netify objects to statnet network format

-- U --

unnetify

Convert netify objects back to dyadic data frames

-- V --

validate_netify

Deep coherence check on a netify object