# Two more points about crayon colors

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**The stupidest thing... » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

If you want to use crayon colors in R but you don’t want to rely on my R/broman package, you can just grab the code. Copy the relevant lines from the `R/brocolors.R`

file:

crayons = c("Almond"="#efdecd", "Antique Brass"="#cd9575", "Apricot"="#fdd9b5", ... "Yellow Green"="#c5e384", "Yellow Orange"="#ffb653")

I spent a bit of time thinking about how best to sort the colors in a meaningful way, for the `plot_crayons()`

function. But then decided to stop thinking and just do something brainless: measure distance between colors by RMS difference of the RGB values, and then use hierarchical clustering. Here’s the code from `plot_crayons()`

:

# get rgb colval <- t(col2rgb(crayons)) # hclust to order the colors ord <- hclust(dist(colval))$order

It’s not perfect, but I think it worked remarkably well:

To

**leave a comment**for the author, please follow the link and comment on their blog:**The stupidest thing... » R**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.