Currently, a continuous colour bar legend, guide_colorbar is available only with scale_fill
and scale_colour
, and not with scale_alpha
The default minimum alpha for scale_alpha_continuous
is 0.1, and the max is 1. I wrote this assuming that you might adjust the minimum to be more visible, but you'd keep the max at 1.
First I set amin
to that default of 0.1, and the chosen colour for the points as highcol
. Then we use the col2rgb
to make a matrix of the RGB values and blend them with white, as modified from this answer written in C#. Note that we're blending with white, so you should be using a theme that has a white background (e.g. theme_classic()
as below). Finally we convert that matrix to hex values and paste it into a single string with #
in front for standard RGB format.
require(scales)
amin <- 0.1
highcol <- hue_pal()(1) # or a color name like "blue"
lowcol.hex <- as.hexmode(round(col2rgb(highcol) * amin + 255 * (1 - amin)))
lowcol <- paste0("#", sep = "",
paste(format(lowcol.hex, width = 2), collapse = ""))
Then we plot as you might be planning to already, with your variable of choice set to the alpha
aesthetic, and here some geom_point
s. Then we plot another layer of points, but with colour set to that same variable, and alpha = 0
(or invisible). This gives us our colourbar we need. Then we have to set the range of scale_colour_gradient
to our colours from above.
ggplot(iris, aes(Sepal.Length, Sepal.Width, alpha = Petal.Length)) +
geom_point(colour = highcol, size = 3) +
geom_point(aes(colour = Petal.Length), alpha = 0) +
scale_colour_gradient(high = highcol, low = lowcol) +
guides(alpha = F) +
labs(colour = "Alpha\nlabel") +
theme_classic()
I'm guessing you most often would want to use this with only a single colour, and for that colour to be black. In that simplified case, replace highcol
and lowcol
with "black" and "grey90". If you want to have multiple colours, each with an alpha varied by some other variable... that's a whole other can of worms and probably not a good idea.
If you replace colour with fill for my solution above, you can still use colour as an aesthetic. Here I used highcol <-hue_pal()(3)[2]
to extract that default green colour.
ggplot(aes(Sepal.Length, Sepal.Width, alpha = Petal.Length)) +
geom_point(aes(colour = Species), size = 3) +
geom_point(aes(fill = Petal.Length), alpha = 0) +
scale_fill_gradient(high = highcol, low = lowcol) +
guides(alpha = F) +
labs(fill = "Petal\nLength") +
theme_classic()