p <- ggplot(data = data.frame(x = c(-5, 5)), mapping = aes(x = x)) p + stat_function(fun = dnorm, size = 2, color = "red") + xlab("z-scores") + ylab("Relative ...
For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...