R: Simple two-row layout for bipartite graphs

layout_as_bipartite {igraph} | R Documentation

## Simple two-row layout for bipartite graphs

### Description

Minimize edge-crossings in a simple two-row (or column) layout for bipartite graphs.

### Usage

    layout_as_bipartite(graph, types = NULL, hgap = 1, vgap = 1,
      maxiter = 100)

    as_bipartite(...)

### Arguments

`graph` | The bipartite input graph. It should have a logical ‘`type`’ vertex attribute, or the `types` argument must be given.
`types` | A logical vector, the vertex types. If this argument is `NULL` (the default), then the ‘`type`’ vertex attribute is used.
`hgap` | Real scalar, the minimum horizontal gap between vertices in the same layer.
`vgap` | Real scalar, the distance between the two layers.
`maxiter` | Integer scalar, the maximum number of iterations in the crossing minimization stage. 100 is a reasonable default; if you feel that you have too many edge crossings, increase this.
`...` | Arguments to pass to `layout_as_bipartite`.

### Details

The layout is created by first placing the vertices in two rows, according to their types. Then the positions within the rows are optimized to minimize edge crossings, using the Sugiyama algorithm (see `layout_with_sugiyama`).

### Value

A matrix with two columns and as many rows as the number of vertices in the input graph.

### Author(s)

Gabor Csardi csardi.gabor@gmail.com

### See Also

`layout_with_sugiyama`

Other graph layouts: `add_layout_`, `component_wise`, `layout_as_star`, `layout_as_tree`, `layout_in_circle`, `layout_nicely`, `layout_on_grid`, `layout_on_sphere`, `layout_randomly`, `layout_with_dh`, `layout_with_fr`, `layout_with_gem`, `layout_with_graphopt`, `layout_with_kk`, `layout_with_lgl`, `layout_with_mds`, `layout_with_sugiyama`, `layout_`, `merge_coords`, `norm_coords`, `normalize`

### Examples

    # Random bipartite graph
    inc <- matrix(sample(0:1, 50, replace = TRUE, prob=c(2,1)), 10, 5)
    g <- graph_from_incidence_matrix(inc)
    plot(g, layout = layout_as_bipartite,
         vertex.color=c("green","cyan")[V(g)$type+1])

    # Two columns
    g %>%
      add_layout_(as_bipartite()) %>%
      plot()

[Package igraph version 1.2.2 Index]