force-directed graph layout based on stress majorization. Similar to Kamada-Kawai, but generally faster and with better results.
Usage
layout_with_stress(
g,
weights = NA,
iter = 500,
tol = 1e-04,
mds = TRUE,
bbox = 30
)
layout_igraph_stress(
g,
weights = NA,
iter = 500,
tol = 1e-04,
mds = TRUE,
bbox = 30,
circular
)Arguments
- g
igraph object
- 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
width of layout. 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.
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.
Examples
library(igraph)
set.seed(665)
g <- sample_pa(100, 1, 1, directed = FALSE)
# calculate layout manually
xy <- layout_with_stress(g)
# use it with ggraph
if (FALSE) { # \dontrun{
library(ggraph)
ggraph(g, layout = "stress") +
geom_edge_link0(edge_width = 0.2, colour = "grey") +
geom_node_point(col = "black", size = 0.3) +
theme_graph()
} # }