Reputation: 4380
I have the following ggplot graph with circles representing the observed data and the crosses the mean for each treatment :
d <- data.frame(Number = rnorm(12,100,20),
Treatment = rep(c("A","B","C", "D"), each = 3))
av <- aggregate(d["Number"], d["Treatment"], mean)
ggplot(data = d, aes(y = Number, x = Treatment)) +
geom_point(shape = 1, size = 6, color = "grey50") +
geom_point(data=av, shape = 4) +
theme_bw()
I would like to add a legend with the exact same symbols on top of the graphs but I'm a bit lost... I use aes to force the creation of legend and then try to modify it with manual scales but the result is not convincing. I would like to have one grey circle of size 6. That sounds also quite complicated for such a basic thing ... There is probably an easyier solution.
ggplot(data = d, aes(y = Number, x = Treatment)) +
geom_point(aes(shape = "1", size = "6", color = "grey50")) +
geom_point(data=av, aes(shape = "4")) +
theme_bw() +
scale_shape_manual(name = "", values = c(1,4), labels = c("observed values", "mean")) +
scale_size_manual(name = "", values = c(6,1), labels = c("observed values", "mean")) +
scale_color_manual(name = "", values = c("grey50","black"),
labels = c("observed values", "mean")) +
theme(legend.position = "top",
legend.key = element_rect(color = NA))
http://imagizer.imageshack.us/v2/320x240q90/842/4pgj.png
Upvotes: 2
Views: 3462
Reputation: 132989
The ggplot2 way would be combining everything into a single data.frame like this:
av$Aggregated <- "mean"
d$Aggregated <- "observed value"
d <- rbind(d, av)
ggplot(data = d, aes(y = Number, x = Treatment,
shape=Aggregated, size=Aggregated, colour=Aggregated)) +
geom_point()
And than customize using manual scales and themes.
Upvotes: 3