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Working with grid graphics provides flexibility that is harder to get
when using base graphics. Nevertheless, a lot of users may still be more
comfortable with base graphics, so this document shows a few examples of
how to mix both of them using the gridBase
package.
First, we load igraph to simulate a small network and complement that with uninteresting correlated data:
library(igraph)
# Simulation parameters
set.seed(12)
n <- 100
# Points
x0 <- rnorm(n)
x1 <- x0*.4 + rnorm(n)
# network
net <- sample_smallworld(1, n, 4, .1)
And here, we can create the netplot
object. We use the
magrittr
package to make the workflow nicer:
## Loading required package: grid
##
## Attaching package: 'netplot'
## The following object is masked from 'package:igraph':
##
## ego
library(magrittr)
np <- nplot(net, bg.col = "gray70", vertex.nsides = "square") %>%
set_edge_gpar("line", col = "gray50", alpha = .7) %>%
set_vertex_gpar("frame", fill = "black", col = "black")
Imagine that we would like to include a plot of the network in the following plot
We will use the gridBase
package. gridBase
allows some interaction between the base
and grid graphics systems. In particular, we will use the
baseViewports()
function, which returns a list with
viewports
that can be mapped to match the current base
plot
Once we have the viewports, we can work with these to add the current
plot to the base plot. In this case, we will include the network that we
just created, np
, and this will be placed on the top left
corner of the plot region and will occupy 1/4 of the area:
# Adding the plot to the current view
pushViewport(vp$plot)
# Sub viewport, top-left corner using 1/4 of the area
pushViewport(viewport(.25, .75, width = .5, height = .5))
# Drawing, we could have used `print(np, newpage=FALSE)`
grid.draw(np)
Which yields
Or suppose that you want to frame it into a rectangle to the top-right corner of the entire device that uses 3/10 x 3/10 of the area, then:
plot(x0, x1)
# vp <- baseViewports()
# pushViewport(vp$figure)
pushViewport(viewport(1, 1, just = c("right", "top"), width = .3, height = .3))
grid.draw(np)
Notice that we didn’t need to extract the viewports of the base plot. A simple viewport did the job since we are using the entire device. Now, imagine that you are feeling playful and would like to draw it a bit tilted, say -20 degrees:
plot(x0, x1)
pushViewport(
viewport(x = .8, y = .8, width = .3, height = .3, angle = -20)
)
grid.draw(np)
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They may not be fully stable and should be used with caution. We make no claims about them.
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