I’d like to place a black border around points on a scatterplot that are filled based on data, using ggplot2. Also, I would like to avoid having a legend entry for the black border since it will be on each point. Basically I’m looking for this plot, but with a black border around each point.
df <- data.frame(id=runif(12), x=1:12, y=runif(12))
ggplot(df, aes(x=x, y=y))+geom_point(aes(colour=id), size=12)

As a bonus, I’d like to not have a legend entry for the black border. My best try is:
df <- data.frame(id=runif(12), x=1:12, y=runif(12))
ggplot(df, aes(x=x, y=y))+geom_point(aes(fill=id, colour="black"), size=12)
Which gives:

I don’t understand why that doesn’t give me what I want, and worse (for my education in ggplot2) I don’t understand why it doesn’t seem to map fill color to anything! Any help?
Perhaps if I can get the outline and fill mapping right I can use a hack like the one in hte last set of figures here to turn off the legend.
It’s a bit obscure, but you have to use
pch>20 (I think 21:25 are the relevant shapes):fillcontrols the interior colo(u)ring andcolourcontrols the line around the edge.update: with recent ggplot2 versions (e.g. 2.0.0, don’t know how far back it goes) the default guide is a colourbar. Need
g0 + guides(fill="legend")to get a legend with points as in the plot shown here. The default breaks have changed, too: to exactly replicate this plot you needg0 + scale_fill_continuous(guide="legend",breaks=seq(0.2,0.8,by=0.1))…Related but not identical: how to create a plot with customized points in R? . The accepted answer to that question uses the layering technique shown in @joran’s answer, but (IMO) the answer by @jbaums, which uses the
pch=21technique, is superior. (I thinkshape=21is an alternative, and perhaps even preferred, topch=21.)PS you should put
colouroutside the mapping (aesbit) if you want to set it absolutely and not according to the value of some variable …