There's an open issue to implement what I
think you're referring to in ggplot2, as well as a couple of possible implementations in the thread (e.g. see Claus Wilke's here).
You can see Claus has implemented something similar-ish (discretized gradient scale) for value-suppressing uncertainty palettes in the multiscales package, but for a more complex legend
Could you please turn your example into a self-contained
reprex (short for reproducible example)? It will help us help you if we can be sure we're all working with/looking at the same stuff.
If you've never heard of a reprex before, you might want to start by reading the
tidyverse.org help page. The reprex dos and don'ts are also useful.
There's also a nice FAQ on how to do a minimal reprex for beginners, below:
A minimal reproducible example consists of the following items:
A minimal dataset, necessary to reproduce the error
The minimal runnable code necessary to reproduce the error, which can be run
on the given dataset, and including the necessary information on the used packages.
Let's quickly go over each one of this with an example:
Minimal Dataset (Sample Data)
You need to provide a dataframe that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue.
Let's say, as example, that you are working with the iris dataframe
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 1 5.1 3.5 1.4 0.2 se…
What to do if you run into clipboard problems
If you run into problems with access to your clipboard, you can specify an outfile for the reprex, and then copy and paste the contents into the forum.
reprex::reprex(input = "fruits_stringdist.R", outfile = "fruits_stringdist.md")
For pointers specific to the community site, check out the