grid on ggplot2 outputsPush the knit button!
If the image is not showing up, first open the corresponding solution file (in the same location as this file) and knit.
library(ggplot2)
library(grid)
grid onlyggplot(cars, aes(speed, dist)) +
geom_point() +
geom_smooth(method = "lm", se = FALSE, formula = y ~ x) +
ggtitle("Line of best fit")
grid.force()
grid.ls()
## layout
## background.1-9-12-1
## panel.7-5-7-5
## grill.gTree.16382
## panel.background..rect.16373
## panel.grid.minor.y..polyline.16375
## panel.grid.minor.x..polyline.16377
## panel.grid.major.y..polyline.16379
## panel.grid.major.x..polyline.16381
## NULL
## geom_point.points.16366
## geom_smooth.gTree.16369
## GRID.polyline.16367
## NULL
## panel.border..zeroGrob.16370
## spacer.8-6-8-6
## spacer.8-4-8-4
## spacer.6-6-6-6
## spacer.6-4-6-4
## axis-t.6-5-6-5
## axis-l.7-4-7-4
## NULL
## axis
## axis.1-1-1-1
## GRID.text.16389
## axis.1-2-1-2
## axis-r.7-6-7-6
## axis-b.8-5-8-5
## NULL
## axis
## axis.1-1-1-1
## axis.2-1-2-1
## GRID.text.16385
## xlab-t.5-5-5-5
## xlab-b.9-5-9-5
## GRID.text.16393
## ylab-l.7-3-7-3
## GRID.text.16396
## ylab-r.7-7-7-7
## subtitle.4-5-4-5
## title.3-5-3-5
## GRID.text.16399
## caption.10-5-10-5
## tag.2-2-2-2
grid that points from the title to the line of best fit in the above plotgrid (some of the code has been written for you )g1 <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) +
geom_point() +
ggtitle("Sepal")
g2 <- ggplot(iris, aes(Petal.Length, Petal.Width)) +
geom_point() +
ggtitle("Petal")
g1
g2
gr1 <- ggplot_gtable(ggplot_build(g1))
gr2 <- ggplot_gtable(ggplot_build(g2))
vp1 <- viewport(width = 0.5, height = 0.5, x = 0.25)
vp2 <- viewport(width = 0.25, height = 0.25, x = 0.75)
...