# Colour matching feature in R

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I love R. It is an open-source statistical programming language that I found reasonably easy to learn, and find it incredibly versatile and useful. Because it’s open-source anyone can contribute to it, and there are a huge number of packages that extend its capabilities to do pretty much anything.**The Praise of Insects**, 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.

I’ve been using it to do Principal Components Analysis on some colour data that I measured from photos of some Carpophilus specimens, and was trying to figure out how to relate the RGB values I got from the photos to actual names. R has in its core packages a colors() function with a lot of names assigned to particular RGB values. Thankfully, Barry Rowlingson has come up with a very nice little function that figures out which colour names the RGB value is closest to:

Pretty useful for standardising colour names!nearColour <- function(r,g,b){ ctable = col2rgb(colors()) cdiff = ctable - c(r,g,b) cdist = cdiff[1,]*cdiff[1,]+cdiff[2,]*cdiff[2,]+cdiff[3,]*cdiff[3,] return(colors()[cdist == min(cdist)]) }

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