mplot3_graph: Plot 'igraph' networks
In egenn/rtemis: Machine Learning and Visualization

mplot3_graph

R Documentation

Plot `igraph` networks

Description

Plot igraph networks

Usage

mplot3_graph(
  net,
  vertex.size = 12,
  vertex.col = NULL,
  vertex.alpha = 0.33,
  vertex.label.col = NULL,
  vertex.label.alpha = 0.66,
  vertex.frame.col = NA,
  vertex.label = NULL,
  vertex.shape = "circle",
  edge.col = NULL,
  edge.alpha = 0.2,
  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,
  mark.col = NULL,
  mark.alpha = 0.3,
  mark.border = NULL,
  mark.border.alpha = 1,
  cluster_color_vertices = FALSE,
  theme = rtTheme,
  theme_extra_args = list(),
  palette = rtPalette,
  mar = rep(0, 4),
  par.reset = TRUE,
  filename = NULL,
  pdf.width = 6,
  pdf.height = 6,
  verbose = TRUE,
  ...
)

Arguments

`net`	`igraph` network
`vertex.size`	Numeric: Vertex size
`vertex.col`	Color for vertices
`vertex.alpha`	Numeric: Transparency for `vertex.col`
`vertex.label.col`	Color for vertex labels
`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: Vertex shape. See `igraph::plot.igraph("vertex.shape")`. Default = "circle"
`edge.col`	Color for edges
`edge.alpha`	Numeric: Transparency for edges. Default = .2
`edge.curved`	Numeric: Curvature of edges. Default = .35
`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` defined
`mark.col`	Colors, one per group for polygon surrounding cluster. Note: You won't know the number of groups unless they are precomputed. The colors will be recycled as needed.
`mark.alpha`	Float [0, 1]: Transparency for `mark.col`.
`mark.border`	Colors, similar to `mark.col` for border
`mark.border.alpha`	Float [0, 1]: Transparency for `mark.border`.
`cluster_color_vertices`	Logical: If TRUE, color vertices by cluster membership.
`theme`	rtemis theme to use
`theme_extra_args`	List of extra arguments to pass to the theme function defined by `theme`. This argument is used when the extra args (...) are passed the plotting function (in this case `igraph::plot.igraph`) and not to the theme function
`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
`verbose`	Logical, If TRUE, print messages to console.
`...`	Extra arguments to pass to `igraph::plot.igraph()`