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I have seen somewhat similar questions to this, but I'd like to ask my specific question as directly as I can: I have a scatter plot with a "z" variable encoded into a color scale: library(ggplot2) myData <- data.frame(x = rnorm(1000), y = rnorm(1000)) myData$z <- with(myData, x * y) badVersion <- ggplot(myData, aes(x = x, y = y, colour = z)) badVersion <- badVersion + geom_point() print(badVersion) Which produces this: As you can see, since the "z" variable is normally distributed, very few of the points are colored with the "extreme" colors of the distribution. This is as it should be, but I am interested in emphasizing difference. One way to do this would be to use: betterVersion <- ggplot(myData, aes(x = x, y = y, colour = rank(z))) betterVersion <- betterVersion + geom_point() print(betterVersion) Which produces this: By applying rank() to the "z" variable, I get a much greater emphasis on minor differences within the "z" variable. One could imagine using any transformation here, instead of rank, but you get the idea. My question is, essentially, what is the most straightforward way, or the most "true ggplot2" way, of getting a legend in the original units (units of z, as opposed to the rank of z), while maintaining the transformed version of the colored points? I have a feeling this uses rescaler() somehow, but it is not clear to me how to use rescaler() with arbitrary transformations, etc. In general, more clear examples would be useful. Thanks in advance for your time.

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