gs.plot.grid: Graph Grid plot
In neurodata/graphstats: Graph Statistics

Description Usage Arguments Value Author(s)

A function that plots an igraph object, as a grid, with intensity denoted by the size of dots on the grid.

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gs.plot.grid(g, title = "", src.label = "Vertex", tgt.label = "Vertex",
  edge.attr = NULL, font.size = NULL, vertex.label = FALSE,
  vertex.attr = FALSE, edge.xfm = FALSE, eps = 1e-04, degree = FALSE)

`g`	input graph, as an igraph object. See `graph` for details.
`title`	the title for the square plot. Defaults to `""`.
`src.label`	the source label for the graph. Defaults to `"Vertex"`.
`tgt.label`	the target label for the graph. Defaults to `"Vertex"`.
`edge.attr`	the name of the attribute to use for weights. Defaults to `NULL`. Can be a list of `edge.attr` if you want to overlay different edge-attributes on the same plot. Supports up to 4 edge-attributes at once. `is.null(edge.attr)` plots the graph as a binary adjacency matrix. `is.character(edge.attr)` plot the graph as a weighted adjacency matrix, with edge-weights for `E(g)` given by `E(g)[[edge.attr]]`.
`font.size`	the default font size for the plot text. Axis/legend text is `font.size - 2`. Defaults to `NULL`. `is.null(font.size)` uses the default sizing for all fonts. `!is.null(font.size)` uses `font.size` as the font sizing for the plots.
`vertex.label`	an attribute for naming the vertices. Defaults to `NULL`. `vertex.label==FALSE` name the vertices `V(g)` sequentially, as 1, 2, ... n. `vertex.label==TRUE` name the vertices `V(g)` as `V(g)$name`.
`vertex.attr`	an attribute to color vertices. Defaults to `FALSE`. `vertex.attr==FALSE` assumes no grouping of the vertices, and adds no color accordingly. `is.character(vertex.attr)` assumes a grouping of the vertices given for `V(g)` by `V(G)[[vertex.attr]]`, and groups the vertices in `V(g)` into ordered blocks with color-coding.
`edge.xfm`	transform the edge-weights. Defaults to `FALSE`. Can be a list of `edge.xfm` if you want to overlay different edge-attributes on the same plot in the plot with different transforms for each. `edge.xfm==FALSE` do not transform the edge-weights. `edge.xfm == "log"` transform the edge values, using the natural-logarithm operation. See `log` for details. Does not work if there are negative edge-weights. Pads with `eps << min(edge-weight)` if there are entries of zero in the graph. `edge.xfm == "log10"` transform the edge values, using the logarithm-base-10 operation. See `log10` for details. Does not work if there are negative edge-weights. Pads with `eps << min(edge-weight)` if there are entries of zero in the graph.
`eps`	if you specify an `edge.xfm` that is logarithmic, indicate the padding that zero entries should receive. Defaults to `.0001`. `eps` should be `<< min(edge-weight)`.
`degree`	Whether to plot the marginal vertex degrees. Defaults to `FALSE`.