edges: Tidy edge table for any idiographic result

In idiographic: Person-Specific (Idiographic) and Heterogeneous Complex Networks

Tidy edge table for any idiographic result

Description

A single tidy verb for every network idiographic produces. Returns one row per edge with columns network (e.g. "temporal", "contemporaneous", "between"), from, to, weight – and, for GIMME, level ("group"/"individual"). Directed networks (temporal) keep every edge; undirected networks (contemporaneous, between) report each pair once.

Usage

## S3 method for class 'net_usem'
edges(
  x,
  sort_by = "weight",
  include_self = FALSE,
  network = NULL,
  n = NULL,
  ...
)

## S3 method for class 'var_result'
edges(
  x,
  sort_by = "weight",
  include_self = FALSE,
  network = NULL,
  n = NULL,
  ...
)

edges(x, ...)

## S3 method for class 'netobject'
edges(
  x,
  sort_by = "weight",
  include_self = FALSE,
  network = NULL,
  n = NULL,
  ...
)

## S3 method for class 'netobject_group'
edges(
  x,
  sort_by = "weight",
  include_self = FALSE,
  network = NULL,
  n = NULL,
  ...
)

## S3 method for class 'gvar_result'
edges(
  x,
  sort_by = "weight",
  include_self = FALSE,
  network = NULL,
  n = NULL,
  ...
)

## S3 method for class 'net_mlvar'
edges(
  x,
  sort_by = "weight",
  include_self = FALSE,
  network = NULL,
  n = NULL,
  ...
)

## S3 method for class 'net_gimme'
edges(
  x,
  sort_by = "weight",
  include_self = TRUE,
  weight = c("prop", "coef"),
  network = NULL,
  n = NULL,
  ...
)

## S3 method for class 'var_list'
edges(x, ...)

## S3 method for class 'gvar_list'
edges(x, ...)

Arguments

x	A gvar_result, net_mlvar, net_gimme, netobject, or netobject_group.
sort_by	"weight" (descending |weight|) or NULL for natural order.
include_self	Keep autoregressive self-loops? Default FALSE (TRUE for GIMME, where the autoregression is the point).
network	Optional character vector selecting the network layer(s) to return (e.g. "temporal", "contemporaneous", "between"). Default NULL returns every layer. An unknown layer errors and lists the available ones.
n	Optional integer. Keep only the first n edges, which are the strongest by absolute weight when sort_by = "weight". Default NULL returns all edges.
...	Passed to methods.
weight	For GIMME only: "prop" (proportion of subjects, default) or "coef" (group-average coefficient) for the edge weight.

Value

A tidy data.frame, one row per edge.

Examples

set.seed(1)
d <- data.frame(id = 1, A = rnorm(80), B = rnorm(80), C = rnorm(80))
fit <- fit_graphical_var(d, vars = c("A", "B", "C"), id = "id", n_lambda = 8)
edges(fit)            # tidy: network / from / to / weight

idiographic documentation built on Aug. 4, 2026, 1:07 a.m.