R: constrained stress layout

layout_constrained_stress {graphlayouts} | R Documentation

## constrained stress layout

### Description

force-directed graph layout based on stress majorization with variable constrained

### Usage

    layout_with_constrained_stress(
      g,
      coord,
      fixdim = "x",
      weights = NA,
      iter = 500,
      tol = 1e-04,
      mds = TRUE,
      bbox = 30
    )

    layout_igraph_constrained_stress(
      g,
      coord,
      fixdim = "x",
      weights = NA,
      iter = 500,
      tol = 1e-04,
      mds = TRUE,
      bbox = 30,
      circular
    )

### Arguments

`g` | igraph object
`coord` | numeric vector. fixed coordinates for dimension specified in `fixdim`.
`fixdim` | string. which dimension should be fixed. Either "x" or "y".
`weights` | possibly a numeric vector with edge weights. If this is NULL and the graph has a weight edge attribute, then the attribute is used. If this is NA then no weights are used (even if the graph has a weight attribute). By default, weights are ignored. See details for more.
`iter` | number of iterations during stress optimization
`tol` | stopping criterion for stress optimization
`mds` | should an MDS layout be used as initial layout (default: TRUE)
`bbox` | constrain dimension of output. Only relevant to determine the placement of disconnected graphs
`circular` | not used

### Details

Be careful when using weights. In most cases, the inverse of the edge weights should be used to ensure that the endpoints of an edges with higher weights are closer together (weights=1/E(g)$weight).

The layout_igraph_* function should not be used directly. It is only used as an argument for plotting with 'igraph'. 'ggraph' natively supports the layout.

### Value

matrix of xy coordinates

### References

Gansner, E. R., Koren, Y., & North, S. (2004). Graph drawing by stress majorization. In International Symposium on Graph Drawing (pp. 239-250). Springer, Berlin, Heidelberg.

### See Also

layout_constrained_stress3D

[Package graphlayouts version 0.8.0 Index]