Some features:
library(netplot)
library(igraph)
library(sna)
library(ggraph)
# We will use the UKfaculty data from the igraphdata package
data("UKfaculty", package = "igraphdata")
# With a fixed layout
set.seed(225)
l_ukf <- layout_with_fr(UKfaculty)
Since igraph and statnet do the plotting using base system graphics,
we can’t put everything in the same device right away. Fortunately, the
gridGraphics
R package allows us to reproduce base graphics
using the grid
system, which, in combination with the
function gridExtra::grid.arrange
will let us put both base
and grid graphics in the same page. First me write a func
# Function to map base to grid
map_base_to_grid <- function(fun) {
gridGraphics::grid.echo(fun)
grid::grid.grab()
}
# Mapping base to grid
ig <- map_base_to_grid(function() plot(UKfaculty, main = "igraph"))
nw <- map_base_to_grid(function() gplot(as.matrix(as_adj(UKfaculty)), coord = l_ukf, main = "sna"))
Here is an example with ggraph
ggraph::ggraph(UKfaculty, layout = l_ukf) +
ggraph::geom_edge_arc() +
ggraph::geom_node_point() +
ggplot2::ggtitle("ggraph")
gg <- grid::grid.grab()
igraph
,
sna
, ggraph
, and netplot
default
call. nplot
fills completely the plotting area, and adjusts
vertex size, edge width, and edge arrows’ size accordingly to the
plotting area and plotting device.To arrange multiple plots in the same page we can use the
grid.arrange
function from the gridExtra
package
x_igraph <- sample_smallworld(1, 20, 4, .05)
x_network <- intergraph::asNetwork(x_igraph)
l <- layout_nicely(x_igraph)
# Putting two plots in the same page (one using igraph and the other network)
gridExtra::grid.arrange(
nplot(x_igraph, layout = l),
nplot(x_network, layout = l), ncol=2, nrow=1
)
gridExtra::grid.arrange(
nplot(UKfaculty, layout = l_ukf, vertex.size.range = c(.025, .025)),
nplot(UKfaculty, layout = l_ukf, vertex.size.range = c(.01, .025)),
nplot(UKfaculty, layout = l_ukf, vertex.size.range = c(.01, .025, 4)),
nplot(UKfaculty, layout = l_ukf, vertex.size.range = c(.02, .05, 4)),
ncol=2, nrow=2
)
vertex.size.range
: Each
figure shows a different parameter for the vertex size range. From left
to right, and top down: (a) Has all vertices with the same scale of
2.5%, (b)
gridExtra::grid.arrange(
nplot(
x, layout = l,
edge.color = ~ego(mix=0, alpha = .1, col="black") + alter(mix=1),
vertex.size.range = c(.05,.1)
),
nplot(
x, layout = l,
edge.color = ~ego(mix=.5, alpha = .1, col="black") + alter(mix=.5),
vertex.size.range = c(.05,.1)
),
nplot(
x, layout = l,
edge.color = ~ego(mix=1, alpha = .1, col="black") + alter(mix=0),
vertex.size.range = c(.05,.1)
),
ncol=3, nrow=1
)
edge.color.mix
: Each
figure shows a different parameter for the edge color mixer. From left
to right, (a) colors the edges as alter, (b) mixes ego and alter’s
colors, and (c) only uses egogridExtra::grid.arrange(
nplot(x, layout = l, edge.curvature = 0, vertex.size.range = c(.05,.1)),
nplot(x, layout = l, edge.curvature = pi/2, vertex.size.range = c(.05,.1)),
nplot(x, layout = l, edge.curvature = pi, vertex.size.range = c(.05,.1)),
ncol = 3, nrow=1
)
edge.curvature
: Each
figure shows a different parameter for the edge curvature. From left to
right, (a) straight edges, (b) the edge between ego and alter is an arc
that measures \(\pi/2\) radians (90
degree), and (c) the edge as an arc between ego and alter that measures
\(\pi\) radians (180 degrees).gridExtra::grid.arrange(
nplot(x, layout = l, edge.line.breaks=3),
nplot(x, layout = l, edge.line.lty = 2, edge.line.breaks=10),
nplot(x, layout = l, edge.line.lty = 3, edge.line.breaks=10),
nplot(x, layout = l, edge.line.lty = 4, edge.line.breaks=10),
nrow=2, ncol=2
)