The Fruchterman-Reingold layout algorithm
Place vertices on the plane using the force-directed layout algorithm by Fruchterman and Reingold.
layout_with_fr( graph, coords = NULL, dim = 2, niter = 500, start.temp = sqrt(vcount(graph)), grid = c("auto", "grid", "nogrid"), weights = NULL, minx = NULL, maxx = NULL, miny = NULL, maxy = NULL, minz = NULL, maxz = NULL, coolexp, maxdelta, area, repulserad, maxiter ) with_fr(...)
graph |
The graph to lay out. Edge directions are ignored. |
coords |
Optional starting positions for the vertices. If this argument
is not |
dim |
Integer scalar, 2 or 3, the dimension of the layout. Two dimensional layouts are places on a plane, three dimensional ones in the 3d space. |
niter |
Integer scalar, the number of iterations to perform. |
start.temp |
Real scalar, the start temperature. This is the maximum amount of movement alloved along one axis, within one step, for a vertex. Currently it is decreased linearly to zero during the iteration. |
grid |
Character scalar, whether to use the faster, but less accurate grid based implementation of the algorithm. By default (“auto”), the grid-based implementation is used if the graph has more than one thousand vertices. |
weights |
A vector giving edge weights. The |
minx |
If not |
maxx |
Similar to |
miny |
Similar to |
maxy |
Similar to |
minz |
Similar to |
maxz |
Similar to |
coolexp, maxdelta, area, repulserad |
These arguments are not supported from igraph version 0.8.0 and are ignored (with a warning). |
maxiter |
A deprecated synonym of |
... |
Passed to |
See the referenced paper below for the details of the algorithm.
This function was rewritten from scratch in igraph version 0.8.0.
A two- or three-column matrix, each row giving the coordinates of a vertex, according to the ids of the vertex ids.
Gabor Csardi csardi.gabor@gmail.com
Fruchterman, T.M.J. and Reingold, E.M. (1991). Graph Drawing by Force-directed Placement. Software - Practice and Experience, 21(11):1129-1164.
layout_with_drl
, layout_with_kk
for
other layout algorithms.
Other graph layouts:
add_layout_()
,
component_wise()
,
layout_as_bipartite()
,
layout_as_star()
,
layout_as_tree()
,
layout_in_circle()
,
layout_nicely()
,
layout_on_grid()
,
layout_on_sphere()
,
layout_randomly()
,
layout_with_dh()
,
layout_with_gem()
,
layout_with_graphopt()
,
layout_with_kk()
,
layout_with_lgl()
,
layout_with_mds()
,
layout_with_sugiyama()
,
layout_()
,
merge_coords()
,
norm_coords()
,
normalize()
# Fixing ego g <- sample_pa(20, m=2) minC <- rep(-Inf, vcount(g)) maxC <- rep(Inf, vcount(g)) minC[1] <- maxC[1] <- 0 co <- layout_with_fr(g, minx=minC, maxx=maxC, miny=minC, maxy=maxC) co[1,] plot(g, layout=co, vertex.size=30, edge.arrow.size=0.2, vertex.label=c("ego", rep("", vcount(g)-1)), rescale=FALSE, xlim=range(co[,1]), ylim=range(co[,2]), vertex.label.dist=0, vertex.label.color="red") axis(1) axis(2)
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