Can ggplot2 control point size and line size (lineweight) separately in one legend?
It sure does seem to be difficult to set those properties independently. I was only kind of able to come up with a hack. If your real data is much different it will likely have to be adjusted. But what i did was used the override.aes
to set the size of the point. Then I went in and built the plot, and then manually changed the line width settings in the actual low-level grid objects. Here's the code
pp<-ggplot(mtcars, aes(gear, mpg, shape = factor(cyl), linetype = factor(cyl))) +
geom_point(size = 3) +
stat_summary(fun.y = mean, geom = "line", size = 1) +
scale_shape_manual(values = c(1, 4, 19)) +
guides(shape=guide_legend(override.aes=list(size=5)))
build <- ggplot_build(pp)
gt <- ggplot_gtable(build)
segs <- grepl("geom_path.segments", sapply(gt$grobs[[8]][[1]][[1]]$grobs, '[[', "name"))
gt$grobs[[8]][[1]][[1]]$grobs[segs]<-lapply(gt$grobs[[8]][[1]][[1]]$grobs[segs],
function(x) {x$gp$lwd<-2; x})
grid.draw(gt)
The magic number "8" was where gt$grobs[[8]]$name=="guide-box"
so i knew I was working the legend. I'm not the best with grid graphics and gtables yet, so perhaps someone might be able to suggest a more elegant way.
Using the grid
function grid.force()
, all the grobs in the ggplot become visible to grid's
editing functions, including the legend keys. Thus, grid.gedit
can be applied, and the required edit to the plot can be achieved using one line of code. In addition, I increase the width of the legend keys so that the different line types for line segments are clear.
library(ggplot2)
library(grid)
p <- ggplot(mtcars, aes(gear, mpg, shape = factor(cyl), linetype = factor(cyl))) +
geom_point(size = 2) +
stat_summary(fun.y = mean, geom = "line", size = 1) +
scale_shape_manual(values = c(1, 4, 19)) +
theme(legend.key.width = unit(1, "cm"))
p
grid.ls(grid.force()) # To get the names of all the grobs in the ggplot
# The edit - to set the size of the point in the legend to 4 mm
grid.gedit("key-[-0-9]-1-1", size = unit(4, "mm"))
To save the modified plot
g <- grid.grab()
ggsave(plot=g, file="test.pdf")
I see what you mean. Here is a solution that fits what you're looking for, I think. It keeps both of the legends separate, but places them side by side. The labels and title of the shape are left out, so that the labels to the far right correspond to both the shapes and linetypes.
I'm posting this as a separate answer because I think both methods will be valid for future readers.
p2 <- ggplot(mtcars, aes(gear, mpg, shape = factor(cyl),
linetype = factor(cyl))) +
geom_point(size = 2) +
stat_summary(fun.y = mean, geom = "line", size = 1) +
# blank labels for the shapes
scale_shape_manual(name="", values = c(1, 4, 19),
labels=rep("", length(factor(mtcars$cyl))))+
scale_linetype_discrete(name="Cylinders")+
# legends arranged horizontally
theme(legend.box = "horizontal")+
# ensure that shapes are to the left of the lines
guides(shape = guide_legend(order = 1),
linetype = guide_legend(order = 2))
p2