| graphjs {threejs} | R Documentation |
Plot interactive force-directed graphs.
graphjs(edges, nodes, main = "", curvature = 0, bg = "white", fg = "black", showLabels = FALSE, attraction = 1, repulsion = 1, max_iterations = 1500, opacity = 1, stroke = TRUE, width = NULL, height = NULL)
edges |
Either a list with
Each row of the data frame identifies a graph edge. |
nodes |
Optional node (vertex) data frame with at least columns:
Each row of the data frame defines a graph node. If the |
main |
Plot title |
curvature |
Zero implies that edges are straight lines. Specify a positive number to curve the edges, useful to distinguish multiple edges in directed graphs (the z-axis of the curve depends on the sign of |
bg |
Plot background color specified similarly to the node colors described above |
fg |
Plot foreground text color |
showLabels |
If |
attraction |
Numeric value specifying attraction of connected nodes to each other, larger values indicate more attraction |
repulsion |
Numeric value specifying repulsion of all nodes to each other, larger values indicate greater repulsion |
max_iterations |
Integer value specifying the maximum number of rendering iterations before stopping |
opacity |
Node transparency, 0 <= opacity <= 1 |
stroke |
If TRUE, stroke each node with a black circle |
width |
optional widget width |
height |
optional widget height |
An htmlwidget object that is displayed using the object's show or print method.
(If you don't see your widget plot, try printing it with the print) function.
All colors must be specified as color names like "red", "blue", etc. or as hexadecimal color values without opacity channel, for example "#FF0000", "#0a3e55" (upper or lower case hex digits are allowed).
The plot responds to the following mouse controls (touch analogs may also be supported on some systems):
scrollwheel zoom
left-mouse button + move rotate
right-mouse button + move pan
mouse over identify node by appending its label to the title
Double-click or tap on the plot to reset the view.
Basic support for plotting igraph objects is provided by the
igraph2graphjs function.
Original code by David Piegza: https://github.com/davidpiegza/Graph-Visualization.
The three.js project http://threejs.org.
data(LeMis)
g <- graphjs(LeMis, main="Les Misérables", showLabels=TRUE)
print(g)
## Not run:
# The next example uses the `igraph` package.
library(igraph)
set.seed(1)
g <- sample_islands(3, 10, 5/10, 1)
i <- cluster_optimal(g)
g <- set_vertex_attr(g, "color", value=c("yellow", "green", "blue")[i$membership])
print(graphjs(g))
## End(Not run)