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Plot Nestimate Bootstrap Results

Source: R/plot-bootstrap.R, R/plot-communities.R, R/plot-mlvar.R, and 3 more
splot.Rd

Visualizes net_bootstrap objects from the Nestimate package. Mirrors splot.tna_bootstrap but adapts to Nestimate's field layout: weights live under $original$weights, directed is not always TRUE, and there are no donut/inits.

Plots the original tna model with nodes colored by community membership. The original model is retrieved from attr(x, "tna"), which tna::communities() sets automatically. Uses walktrap if present in x$assignments; otherwise falls back to the first available algorithm column.

Plots the original network with nodes colored by community membership. The network is retrieved from attr(x, "network"), which detect_communities() / .wrap_communities() sets automatically.

Applies TNA-compatible styling defaults before delegating to splot(): directed networks get oval layout, coloured nodes, and sized arrows; undirected networks get spring layout with no arrows or dashes. All parameters can be overridden by the caller.

Visualizes boot_glasso objects from the Nestimate package. Plots a partial-correlation network with edge inclusion probabilities mapped to edge transparency.

Plot a wtna_mixed object either as a single overlaid network or as two separate group panels.

Visualizes net_permutation objects from the Nestimate package. Differs from plot_permutation: p_values and effect_size are already p×p matrices (no edge-name parsing needed), and directed comes from x$x$directed.

Network visualization using base R graphics (similar to qgraph).

Creates a network visualization using base R graphics functions (polygon, lines, xspline, etc.) instead of grid graphics. This provides better performance for large networks and uses the same snake_case parameter names as soplot() for consistency.

Usage

splot.net_bootstrap(
  x,
  display = c("styled", "significant", "full"),
  show_ci = FALSE,
  show_stars = TRUE,
  inherit_style = TRUE,
  ...
)

splot.tna_communities(x, ...)

splot.cograph_communities(x, ...)

splot.net_mlvar(x, type = "temporal", ...)

splot.netobject(x, ...)

splot.boot_glasso(
  x,
  use_thresholded = TRUE,
  show_inclusion = TRUE,
  inclusion_threshold = NULL,
  edge_positive_color = "#2E7D32",
  edge_negative_color = "#C62828",
  ...
)

splot.wtna_mixed(x, type = c("overlay", "group"), ...)

splot.net_permutation(
  x,
  show_nonsig = FALSE,
  show_effect = FALSE,
  edge_positive_color = "#009900",
  edge_negative_color = "#C62828",
  edge_nonsig_color = "#888888",
  edge_nonsig_style = 2L,
  show_stars = TRUE,
  ...
)

splot(
  x,
  layout = "oval",
  directed = NULL,
  seed = 42,
  theme = NULL,
  node_size = NULL,
  node_size2 = NULL,
  scale_nodes_by = NULL,
  node_size_range = c(2, 8),
  scale_nodes_scale = 1,
  node_shape = "circle",
  node_svg = NULL,
  svg_preserve_aspect = TRUE,
  node_fill = NULL,
  node_border_color = NULL,
  node_border_width = 1,
  node_alpha = 1,
  labels = TRUE,
  label_size = NULL,
  label_color = "black",
  label_position = "center",
  label_fontface = "plain",
  label_fontfamily = "sans",
  label_hjust = 0.5,
  label_vjust = 0.5,
  label_angle = 0,
  pie_values = NULL,
  pie_colors = NULL,
  pie_border_width = NULL,
  donut_fill = NULL,
  donut_values = NULL,
  donut_color = NULL,
  donut_colors = NULL,
  donut_border_color = NULL,
  donut_border_width = NULL,
  donut_inner_border_color = NULL,
  donut_inner_border_width = NULL,
  donut_outer_border_color = NULL,
  donut_line_type = "solid",
  donut_border_lty = NULL,
  donut_inner_ratio = 0.8,
  donut_bg_color = "gray90",
  donut_shape = "circle",
  donut_show_value = FALSE,
  donut_value_size = 0.8,
  donut_value_color = "black",
  donut_value_fontface = "bold",
  donut_value_fontfamily = "sans",
  donut_value_digits = 2,
  donut_value_prefix = "",
  donut_value_suffix = "",
  donut_empty = TRUE,
  donut2_values = NULL,
  donut2_colors = NULL,
  donut2_inner_ratio = 0.4,
  edge_color = NULL,
  edge_width = NULL,
  edge_size = NULL,
  esize = NULL,
  edge_width_range = c(0.1, 4),
  edge_scale_mode = "linear",
  edge_cutoff = NULL,
  cut = NULL,
  edge_alpha = 0.8,
  edge_labels = FALSE,
  edge_label_size = 0.8,
  edge_label_color = "gray30",
  edge_label_bg = NA,
  edge_label_position = 0.5,
  edge_label_offset = 0,
  edge_label_fontface = "plain",
  edge_label_shadow = FALSE,
  edge_label_shadow_color = "gray40",
  edge_label_shadow_offset = 0.5,
  edge_label_shadow_alpha = 0.5,
  edge_label_halo = TRUE,
  edge_style = 1,
  curvature = 0,
  curve_scale = TRUE,
  curve_shape = 0,
  curve_pivot = 0.5,
  curves = TRUE,
  arrow_size = 1,
  arrow_angle = pi/6,
  show_arrows = TRUE,
  bidirectional = FALSE,
  loop_rotation = NULL,
  show = NULL,
  edge_start_style = "solid",
  edge_start_length = 0.15,
  edge_start_dot_density = "12",
  edge_ci = NULL,
  edge_ci_scale = 2,
  edge_ci_alpha = 0.15,
  edge_ci_color = NA,
  edge_ci_style = 2,
  edge_ci_arrows = FALSE,
  edge_priority = NULL,
  edge_label_style = "none",
  edge_label_template = NULL,
  edge_label_digits = 2,
  edge_label_oneline = TRUE,
  edge_label_ci_format = "bracket",
  edge_label_leading_zero = TRUE,
  edge_ci_lower = NULL,
  edge_ci_upper = NULL,
  edge_label_p = NULL,
  edge_label_p_digits = 3,
  edge_label_p_prefix = "p=",
  edge_label_stars = NULL,
  weight_digits = 2,
  threshold = 0,
  minimum = 0,
  maximum = NULL,
  edge_positive_color = "#2E7D32",
  positive_color = NULL,
  edge_negative_color = "#C62828",
  negative_color = NULL,
  edge_duplicates = NULL,
  title = NULL,
  title_size = 1.2,
  margins = c(0.1, 0.1, 0.1, 0.1),
  background = "white",
  rescale = TRUE,
  layout_scale = 1,
  layout_margin = 0.15,
  aspect = TRUE,
  use_pch = FALSE,
  usePCH = NULL,
  scaling = "default",
  legend = FALSE,
  legend_position = "topright",
  legend_size = 0.8,
  legend_edge_colors = TRUE,
  legend_node_sizes = FALSE,
  groups = NULL,
  node_names = NULL,
  tna_styling = NULL,
  psych_styling = NULL,
  i = NULL,
  filetype = "default",
  filename = file.path(tempdir(), "splot"),
  width = 7,
  height = 7,
  res = 600,
  ...
)

Arguments

x

Network input. Can be:

  • A square numeric matrix (adjacency/weight matrix)

  • A data frame with edge list (from, to, optional weight columns)

  • An igraph object

  • A cograph_network object

  • A tna object (from tna package)

  • A group_tna object (list of tna objects from tna package). Use parameter i to select a specific group, or omit to plot all groups.

display

Display mode: "styled" (default), "significant", or "full".

show_ci

Logical: overlay CI bounds on edge labels? Default FALSE.

show_stars

Logical: show significance stars? Default TRUE.

inherit_style

Logical: inherit labels/layout/colors from network? Default TRUE.

...

Additional arguments passed to layout functions.

type

Character. "overlay" (default) renders both networks on a single canvas via plot_mixed_network — co-occurrence as straight undirected edges, transitions as curved directed arrows. "group" plots each component as a separate panel.

use_thresholded

Logical: use $thresholded_pcor? If FALSE, uses $original_pcor. Default TRUE.

show_inclusion

Logical: scale edge alpha by inclusion probability? Default TRUE.

inclusion_threshold

Numeric: minimum inclusion probability to show an edge. Default 1 - x$alpha (i.e. the complement of the alpha level).

edge_positive_color

Color for positive weights.

edge_negative_color

Color for negative weights.

show_nonsig

Logical: show non-significant edges? Default FALSE.

show_effect

Logical: show effect size in parentheses? Default FALSE.

edge_nonsig_color

Color for non-significant edges. Default "#888888".

edge_nonsig_style

Line style for non-significant edges. Default 2L.

layout

Layout algorithm: "circle", "spring", "groups", or a matrix of x,y coordinates, or an igraph layout function. Also supports igraph two-letter codes: "kk", "fr", "drl", "mds", "ni", etc.

directed

Logical. Force directed interpretation. NULL for auto-detect.

seed

Random seed for deterministic layouts. Default 42.

theme

Theme name: "classic", "dark", "minimal", "colorblind", etc.

node_size

Node size(s). Single value or vector. Default 3.

node_size2

Secondary node size for ellipse/rectangle height.

scale_nodes_by

Scale node sizes by a centrality measure. Can be:

  • A measure name: "degree", "strength", "betweenness", "closeness", "eigenvector", "pagerank", "authority", "hub", "harmonic", etc.

  • A directional shorthand: "indegree", "outdegree", "instrength", "outstrength", "incloseness", "outcloseness", "inharmonic", "outharmonic", "ineccentricity", "outeccentricity".

  • A list with measure and parameters: list("pagerank", damping = 0.9)

When used, node_size is ignored. Use node_size_range to control the min/max size. Default NULL (no centrality scaling).

node_size_range

Size range for centrality-based scaling. Numeric vector c(min_size, max_size). Default c(2, 8).

scale_nodes_scale

Dampening exponent for centrality-based sizing. Values < 1 compress differences (e.g., 0.5 applies square root), values > 1 exaggerate differences. Default 1 (linear).

node_shape

Node shape(s): "circle", "square", "triangle", "diamond", "pentagon", "hexagon", "star", "heart", "ellipse", "cross", or any custom SVG shape registered with register_svg_shape().

node_svg

Custom SVG for nodes: path to SVG file OR inline SVG string.

svg_preserve_aspect

Logical: maintain SVG aspect ratio? Default TRUE.

node_fill

Node fill color(s).

node_border_color

Node border color(s).

node_border_width

Node border width(s).

node_alpha

Node transparency (0-1). Default 1.

labels

Node labels: TRUE (use node names/indices), FALSE (none), or character vector.

label_size

Label character expansion factor.

label_color

Label text color.

label_position

Label position: "center", "above", "below", "left", "right".

label_fontface

Font face for labels: "plain", "bold", "italic", "bold.italic". Default "plain".

label_fontfamily

Font family for labels: "sans", "serif", "mono". Default "sans".

label_hjust

Horizontal justification (0=left, 0.5=center, 1=right). Default 0.5.

label_vjust

Vertical justification (0=bottom, 0.5=center, 1=top). Default 0.5.

label_angle

Text rotation angle in degrees. Default 0.

pie_values

List of numeric vectors for pie chart nodes. Each element corresponds to a node and contains values for pie segments. If a simple numeric vector with values between 0 and 1 is provided (e.g., centrality scores), it is automatically converted to donut_fill for convenience.

pie_colors

List of color vectors for pie segments.

pie_border_width

Border width for pie slice dividers. NULL uses node_border_width.

donut_fill

Numeric value (0-1) for donut fill proportion. This is the qgraph-style API: 0.1 = 10% filled, 0.5 = 50% filled, 1.0 = fully filled. Can be a single value (all nodes) or vector (per-node values).

donut_values

Deprecated. Use donut_fill for simple fill proportion.

donut_color

Fill color(s) for the donut ring. Single color sets fill for all nodes. Two colors set fill and background for all nodes. More than 2 colors set per-node fill colors (recycled to n_nodes). Default: "maroon" fill, "gray90" background when node_shape="donut".

donut_colors

Deprecated. Use donut_color instead.

donut_border_color

Border color for donut rings. NULL uses node_border_color.

donut_border_width

Border width for donut rings. NULL uses node_border_width.

donut_inner_border_color

Color for the inner boundary (where the donut meets its hole). NULL (default) uses donut_border_color. Can be scalar or per-node vector.

donut_inner_border_width

Width for the inner boundary border. NULL (default) uses donut_border_width. Can be scalar or per-node vector.

donut_outer_border_color

Color for outer boundary border (enables double border). NULL (default) shows single border. Set to a color for double border effect. Can be scalar or per-node vector.

donut_line_type

Line type for donut borders: "solid", "dashed", "dotted", or numeric (1=solid, 2=dashed, 3=dotted). Can be scalar or per-node vector.

donut_border_lty

Deprecated. Use donut_line_type instead.

donut_inner_ratio

Inner radius ratio for donut (0-1). Default 0.5.

donut_bg_color

Background color for unfilled donut portion.

donut_shape

Base shape for donut: "circle", "square", "hexagon", "triangle", "diamond", "pentagon". Can be a single value or per-node vector. Default inherits from node_shape (e.g., hexagon nodes get hexagon donuts). Set explicitly to override (e.g., donut_shape = "hexagon" for hexagon donuts on all nodes regardless of node_shape).

donut_show_value

Logical: show value in donut center? Default FALSE.

donut_value_size

Font size for donut center value.

donut_value_color

Color for donut center value.

donut_value_fontface

Font face for donut center value: "plain", "bold", "italic", "bold.italic". Default "bold".

donut_value_fontfamily

Font family for donut center value: "sans", "serif", "mono". Default "sans".

donut_value_digits

Decimal places for donut center value. Default 2.

donut_value_prefix

Text before donut center value (e.g., "$"). Default "".

donut_value_suffix

Text after donut center value (e.g., "%"). Default "".

donut_empty

Logical: render empty donut rings for NA values? Default TRUE.

donut2_values

List of values for inner donut ring (for double donut).

donut2_colors

List of color vectors for inner donut ring segments.

donut2_inner_ratio

Inner radius ratio for inner donut ring. Default 0.4.

edge_color

Edge color(s). If NULL, uses edge_positive_color/edge_negative_color based on weight.

edge_width

Edge width(s). If NULL, scales by weight using edge_size and edge_width_range.

edge_size

Base edge size for weight scaling. NULL (default) uses adaptive sizing based on network size: 15 * exp(-n_nodes/90) + 1. For directed networks, this is halved. Larger values = thicker edges overall.

esize

Deprecated. Use edge_size instead.

edge_width_range

Output width range as c(min, max) for weight-based scaling. Default c(0.5, 4). Edges are scaled to fit within this range.

edge_scale_mode

Scaling mode for edge weights: "linear" (default, qgraph-style), "log" (logarithmic for wide weight ranges), "sqrt" (moderate compression), or "rank" (equal visual spacing regardless of weight distribution).

edge_cutoff

Two-tier cutoff for edge width scaling. NULL (default) = auto-calculate as 75th percentile of weights (qgraph behavior). 0 = disabled (continuous scaling). Positive number = manual threshold. Edges below cutoff get minimal width variation.

cut

Deprecated. Use edge_cutoff instead.

edge_alpha

Edge transparency (0-1). Default 0.8.

edge_labels

Edge labels: TRUE (show weights), FALSE (none), or character vector.

edge_label_size

Edge label size.

edge_label_color

Edge label text color.

edge_label_bg

Edge label background color.

edge_label_position

Position along edge (0-1).

edge_label_offset

Perpendicular offset for edge labels (0 = on line, positive = above).

edge_label_fontface

Font face: "plain", "bold", "italic", "bold.italic".

edge_label_shadow

Logical: enable drop shadow for edge labels? Default FALSE.

edge_label_shadow_color

Color for edge label shadow. Default "gray40".

edge_label_shadow_offset

Offset distance for shadow in points. Default 0.5.

edge_label_shadow_alpha

Transparency for shadow (0-1). Default 0.5.

edge_label_halo

Logical: enable white halo/outline around edge labels for readability over dark edges? Default FALSE. When TRUE, overrides shadow settings.

edge_style

Line type(s): 1=solid, 2=dashed, 3=dotted, etc.

curvature

Edge curvature. 0 for straight, positive/negative for curves.

curve_scale

Logical: auto-curve reciprocal edges?

curve_shape

Spline tension (-1 to 1). Default 0.

curve_pivot

Position along edge for curve control point (0-1).

curves

Curve mode: TRUE (default) = single edges straight, reciprocal edges curve as ellipse (two opposing curves); FALSE = all straight; "force" = all curved.

arrow_size

Arrow head size.

arrow_angle

Arrow head angle in radians. Default pi/6 (30 degrees).

show_arrows

Logical or vector: show arrows on directed edges?

bidirectional

Logical or vector: show arrows at both ends?

loop_rotation

Angle(s) in radians for self-loop direction.

show

Dispatch-only placeholder used by method dispatch (e.g., splot.tna_disparity). Not intended for direct use.

edge_start_style

Style for the start segment of edges: "solid" (default), "dashed", or "dotted". Use dashed/dotted to indicate edge direction (source node).

edge_start_length

Fraction of edge length for the styled start segment (0-0.5). Default 0.15 (15% of edge). Only applies when edge_start_style is not "solid".

edge_start_dot_density

Pattern for dotted start segments. A two-character string where the first digit is dot length and second is gap length (in line width units). Default "12" (1 unit dot, 2 units gap). Use "11" for tighter dots, "13" for more spacing. Only applies when edge_start_style = "dotted".

edge_ci

Numeric vector of CI widths (0-1 scale). Larger values = more uncertainty.

edge_ci_scale

Width multiplier for underlay thickness. Default 2.

edge_ci_alpha

Transparency for underlay (0-1). Default 0.15.

edge_ci_color

Underlay color. NA (default) uses main edge color.

edge_ci_style

Line type for underlay: 1=solid, 2=dashed, 3=dotted. Default 2.

edge_ci_arrows

Logical: show arrows on underlay? Default FALSE.

edge_priority

Numeric vector of edge priorities. Higher values render on top. Useful for ensuring significant edges appear above non-significant ones.

edge_label_style

Preset style: "none", "estimate", "full", "range", "stars".

edge_label_template

Template with placeholders: {est}, {range}, {low}, {up}, {p}, {stars}. Overrides edge_label_style if provided.

edge_label_digits

Decimal places for estimates. Default 2.

edge_label_oneline

Logical: single line format? Default TRUE.

edge_label_ci_format

CI format: "bracket" for [low, up] or "dash" for low-up.

edge_label_leading_zero

Logical: show leading zero for values < 1? Default TRUE. Set to FALSE to display ".5" instead of "0.5".

edge_ci_lower

Numeric vector of lower CI bounds for labels.

edge_ci_upper

Numeric vector of upper CI bounds for labels.

edge_label_p

Numeric vector of p-values for edges.

edge_label_p_digits

Decimal places for p-values. Default 3.

edge_label_p_prefix

Prefix for p-values. Default "p=".

edge_label_stars

Stars for labels: character vector, TRUE (compute from p), or numeric (treated as p-values).

weight_digits

Number of decimal places to round edge weights to before plotting. Edges that round to zero are automatically removed. Default 2. Set NULL to disable rounding.

threshold

Minimum absolute weight to display.

minimum

Alias for threshold (qgraph compatibility). Uses max of threshold and minimum.

maximum

Maximum weight for scaling. NULL for auto.

positive_color

Deprecated. Use edge_positive_color instead.

negative_color

Deprecated. Use edge_negative_color instead.

edge_duplicates

How to handle duplicate edges in undirected networks. NULL (default) = stop with error listing duplicates. Options: "sum", "mean", "first", "max", "min", or a custom aggregation function.

title

Plot title.

title_size

Title font size.

margins

Margins as c(bottom, left, top, right).

background

Background color.

rescale

Logical: rescale layout to -1 to 1 range?

layout_scale

Scale factor for layout. >1 expands (spreads nodes apart), <1 contracts (brings nodes closer). Use "auto" to automatically scale based on node count (compact for small networks, expanded for large). Default 1.

layout_margin

Margin around the layout as fraction of range. Default 0.15. Set to 0 for no extra margin (tighter fit). Affects white space around nodes.

aspect

Logical: maintain aspect ratio?

use_pch

Logical: use points() for simple circles (faster). Default FALSE.

usePCH

Deprecated. Use use_pch instead.

scaling

Scaling mode: "default" for qgraph-matched scaling where node_size=6 looks similar to qgraph vsize=6, or "legacy" to preserve pre-v2.0 behavior.

legend

Logical: show legend?

legend_position

Position: "topright", "topleft", "bottomright", "bottomleft".

legend_size

Legend text size.

legend_edge_colors

Logical: show positive/negative edge colors in legend?

legend_node_sizes

Logical: show node size scale in legend?

groups

Group assignments for node coloring/legend.

node_names

Alternative names for legend (separate from labels).

tna_styling

Logical or NULL. If TRUE, applies TNA visual defaults (oval layout, TNA color palette, edge labels as estimates, dotted edge starts, etc.) as a base layer. Any explicitly provided argument overrides the TNA default. If FALSE, no TNA styling is applied. If NULL (default), automatically set to TRUE when x is a tna object, FALSE otherwise. Can be used with any input type (matrix, igraph, cograph_network).

psych_styling

Logical or NULL. Undirected counterpart of tna_styling. If TRUE, applies psychometric-network defaults (spring layout, Okabe-Ito palette, no arrows, thin edges) as a base layer. If NULL (default), splot.netobject auto-enables it on correlation-family input (glasso, cor, pcor, ising) and on the undirected constituents of net_mlvar. Explicit user args always win.

i

Group index or name when x is a group_tna object. If NULL (default), plots all groups in a grid. If specified (e.g., i = 1 or i = "Treatment"), plots only that group.

filetype

Output format: "default" (screen), "png", "pdf", "svg", "jpeg", "tiff".

filename

Output filename (without extension).

width

Output width in inches.

height

Output height in inches.

res

Resolution in DPI for raster outputs (PNG, JPEG, TIFF). Default 600.

Value

Invisibly returns the plot.

Invisibly, the splot result.

Invisibly, the splot result.

Invisibly returns x.

Invisibly returns the plot.

Invisibly returns the plot.

Invisibly returns x.

Invisibly returns the plot.

Invisibly returns the cograph_network object.

Details

Edge Curve Behavior

Edge curving is controlled by three parameters that interact:

curves

Mode for automatic curving. FALSE = all straight, TRUE (default) = curve only reciprocal edge pairs as an ellipse, "force" = curve all edges inward toward network center.

curvature

Manual curvature amount (0-1 typical). Sets the magnitude of curves. Default 0 uses automatic 0.175 for curved edges. Positive values curve edges; the direction is automatically determined.

curve_scale

Not currently used; reserved for future scaling.

For reciprocal edges (A->B and B->A both exist), the edges curve in opposite directions to form a visual ellipse, making bidirectional relationships clear.

Weight Scaling Modes (edge_scale_mode)

Controls how edge weights are mapped to visual widths:

linear (default)

Width proportional to weight. Best when weights are similar in magnitude.

log

Logarithmic scaling. Best when weights span multiple orders of magnitude (e.g., 0.01 to 100).

sqrt

Square root scaling. Moderate compression, good for moderately skewed distributions.

rank

Rank-based scaling. Ignores actual values; uses relative ordering. All edges get equal visual spacing regardless of weight distribution.

Donut vs Pie vs Double Donut

Three ways to show additional data on nodes:

Donut (donut_fill)

Single ring showing a proportion (0-1). Ideal for completion rates, probabilities, or any single metric per node. Use donut_color for fill color and donut_bg_color for unfilled portion.

Pie (pie_values)

Multiple colored segments showing category breakdown. Ideal for composition data. Values are normalized to sum to 1. Use pie_colors for segment colors.

Double Donut (donut2_values)

Two concentric rings for comparing two metrics per node. Outer ring uses donut_fill/donut_color, inner ring uses donut2_values/donut2_colors.

CI Underlay System

Confidence interval underlays draw a wider, semi-transparent edge behind the main edge to visualize uncertainty:

edge_ci

Vector of CI widths (0-1 scale). Larger = more uncertainty.

edge_ci_scale

Multiplier for underlay width relative to main edge. Default 2 means underlay is twice as wide as main edge at CI=1.

edge_ci_alpha

Transparency of underlay (0-1). Default 0.15.

edge_ci_style

Line type: 1=solid, 2=dashed (default), 3=dotted.

Edge Label Templates

For statistical output, use templates to format complex labels:

edge_label_template

Template string with placeholders: {est} for estimate/weight, {low}/{up} for CI bounds, {range} for formatted range, {p} for p-value, {stars} for significance stars.

edge_label_style

Preset styles: "estimate" (weight only), "full" (estimate + CI), "range" (CI only), "stars" (significance).

See also

soplot for grid graphics rendering (alternative engine), cograph for creating network objects, sn_nodes for node customization, sn_edges for edge customization, sn_layout for layout algorithms, sn_theme for visual themes, from_qgraph and from_tna for converting external objects

Examples

# Basic directed network
adj <- matrix(c(0, 1, 1, 0, 0, 0, 1, 1,
                0, 0, 0, 1, 0, 0, 0, 0), 4, 4, byrow = TRUE)
splot(adj, layout = "circle", labels = c("A", "B", "C", "D"))


# Weighted network with signed edges
w_adj <- matrix(c(0, .5, -.3, 0, .8, 0, .4, -.2,
                  0, 0, 0, .6, 0, 0, 0, 0), 4, 4, byrow = TRUE)
splot(w_adj, edge_positive_color = "darkgreen", edge_negative_color = "red")