draw_graphjs: Plot network using 'threejs::graphjs'
In egenn/rtemis: Machine Learning and Visualization

draw_graphjs

R Documentation

Plot network using threejs::graphjs

Description

Interactive plotting of an igraph net using threejs.

Usage

draw_graphjs(
  net,
  vertex_size = 1,
  vertex_col = NULL,
  vertex_label_col = NULL,
  vertex_label_alpha = 0.66,
  vertex_frame_col = NA,
  vertex_label = NULL,
  vertex_shape = "circle",
  edge_col = NULL,
  edge_alpha = 0.5,
  edge_curved = 0.35,
  edge_width = 2,
  layout = c("fr", "dh", "drl", "gem", "graphopt", "kk", "lgl", "mds", "sugiyama"),
  coords = NULL,
  layout_params = list(),
  cluster = NULL,
  groups = NULL,
  cluster_params = list(),
  cluster_mark_groups = TRUE,
  cluster_color_vertices = FALSE,
  main = "",
  theme = choose_theme(),
  palette = rtemis_palette,
  mar = rep(0, 4),
  par_reset = TRUE,
  filename = NULL,
  verbosity = 1L,
  ...
)

Arguments

`net`	`igraph` network.
`vertex_size`	Numeric: Vertex size.
`vertex_col`	Color for vertices.
`vertex_label_col`	Color for vertex labels.
`vertex_label_alpha`	Numeric: Transparency for `vertex_label_col`.
`vertex_frame_col`	Color for vertex border (frame).
`vertex_label`	Character vector: Vertex labels. Default = NULL, which will keep existing names in `net` if any. Set to NA to avoid printing vertex labels.
`vertex_shape`	Character, vector, length 1 or N nodes: Vertex shape. See `graphjs("vertex_shape")`.
`edge_col`	Color for edges.
`edge_alpha`	Numeric: Transparency for edges.
`edge_curved`	Numeric: Curvature of edges.
`edge_width`	Numeric: Edge thickness.
`layout`	Character: one of: "fr", "dh", "drl", "gem", "graphopt", "kk", "lgl", "mds", "sugiyama", corresponding to all the available layouts in igraph.
`coords`	Output of precomputed igraph layout. If provided, `layout` is ignored.
`layout_params`	List of parameters to pass to `layout` function.
`cluster`	Character: one of: "edge_betweenness", "fast_greedy", "infomap", "label_prop", "leading_eigen", "louvain", "optimal", "spinglass", "walktrap", corresponding to all the available igraph clustering functions.
`groups`	Output of precomputed igraph clustering. If provided, `cluster` is ignored.
`cluster_params`	List of parameters to pass to `cluster` function.
`cluster_mark_groups`	Logical: If TRUE, draw polygons to indicate clusters, if `groups` or `cluster` are defined.
`cluster_color_vertices`	Logical: If TRUE, color vertices by cluster membership.
`main`	Character: Main title.
`theme`	Theme object.
`palette`	Color vector or name of rtemis palette.
`mar`	Numeric vector, length 4: `par`'s margin argument.
`par_reset`	Logical: If TRUE, reset par before exiting.
`filename`	Character: If provided, save plot to this filepath.
`verbosity`	Integer: Verbosity level.
`...`	Extra arguments to pass to `igraph::plot.igraph()`.