Control point border thickness in ggplot

RGgplot2BorderPointThickness

R Problem Overview


When using ggplot, I can set shape to 21-25 to get shapes that have independent setting for the internal (fill) and border (col) colors, like so:

df <- data.frame(id=runif(12), x=1:12, y=runif(12))
ggplot(df, aes(x=x, y=y)) + 
  geom_point(aes(fill=id, size=id), colour="black", shape=21)

enter image description here

However, I can't figure out how to control the thickness of the shape borders, either setting them absolutely or as an aesthetic mapping. I note that if I set an lwd value, it overrides the size aesthetic:

ggplot(df, aes(x=x, y=y)) + 
  geom_point(aes(fill=id, size=id), colour="black", shape=21, lwd=2)

enter image description here

How do I control the border thickness?

R Solutions


Solution 1 - R

Starting in version 2.0.0 of ggplot2, there is an argument to control point border thickness. From the NEWS.md file:

>geom_point() gains a stroke aesthetic which controls the border width of shapes 21-25 (#1133, @SeySayux). size and stroke are additive so a point with size = 5 and stroke = 5 will have a diameter of 10mm. (#1142)

Thus, the correct solution to this is now:

df <- data.frame(id=runif(12), x=1:12, y=runif(12))
ggplot(df, aes(x=x, y=y)) + 
  geom_point(aes(fill=id, size=id), colour="black", shape=21, stroke = 2)

Output

Solution 2 - R

It feels a bit hacky but you can add a "background" set of dots with the size set to the aesthetic mapping plus some small constant to enlarge the border of the dots. Play with the constant to get the desired border width.

You'll also have to disable the size legend to stop it displaying the legend on the graph...

ggplot(df, aes(x=x, y=y)) + 
  geom_point(aes(size=id+0.5), colour="black" , show_guide = FALSE )+
  scale_size( guide = "none" )+
  geom_point(aes(fill=id, size=id), colour="black", shape=21)

enter image description here

Solution 3 - R

Another solution is to create the plot in R and then export it to a .svg file. The linewidth can then be changed using vector graphics editing software (e.g., Inkscape). This method is particularly useful when data points overlap.

Attributions

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Content TypeOriginal AuthorOriginal Content on Stackoverflow
QuestionNoam RossView Question on Stackoverflow
Solution 1 - RNoam RossView Answer on Stackoverflow
Solution 2 - RSimon O'HanlonView Answer on Stackoverflow
Solution 3 - RGopal PennyView Answer on Stackoverflow