# Tools for Network Data Workflows

## Documentation for package ‘netify’ version 1.5.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D E F G H I L M N P R S T U V

## -- 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