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When I make box plots, I like to also show the raw data in the background, like this: library(ggplot2) library(RColorBrewer) cols = brewer.pal(9, 'Set1') n=10000 dat = data.frame(value=rnorm(n, 1:4), group=factor(1:4)) ggplot(dat, aes(x=group, y=value, color=group, group=group)) + geom_point(position=position_jitter(width=0.3), alpha=0.1) + scale_color_manual(values=cols) + geom_boxplot(fill=0, outlier.size=0) However, I don't like it how my box plots completely disappear when the points get too dense. I know I can adjust alpha , which is fine in some cases, but not when my groups have varying densities (For example when the lightest group would completely disappear if I were to decrease alpha enough so that the darkest group doesn't obscure the box plot). What I'm trying to do is systematically shift the colors for the box plots - a bit darker, perhaps - so that they show up even when the background points max out the alpha. For example: plot(1:9, rep(1, 9), pch=19, cex=2, col=cols) cols_dk = rgb2hsv(col2rgb(brewer.pal(9, 'Set1'))) - c(0, 0, 0.2) cols_dk = hsv(cols_dk[1,], cols_dk[2,], cols_dk[3,]) points(1:9, rep(1.2, 9), pch=19, cex=2, col=cols_dk) So far I haven't found a way to fake in a different scale_color for the geom_boxplot layer (which would seem the simplest route if there's a way to do it). Nor have I been able to find a simple syntax to systematically adjust the colors the same way you can easily offset a continuous aesthetic like aes(x=x+1) . The closest thing I've been able to get is to completely duplicate the levels of the factor... ggplot(dat, aes(x=group, y=value, color=group, group=group)) + geom_point(posit

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