Edit Question - KnowledgeHub

Title Body

I've had this a few times, so here goes: I'm making some plots which hold curves with estimates of a parameter given a tuning parameter. Typically, I also have SDs for each estimated value, so I could show error bars around each of them. However, I don't like error bars, and would prefer some smoothed version of it. This is in itself no problem (ie I know how to do this). However, my plot contains several of these similar curves, each one in its own color. So I would like to add the 'smoothed errorregion' to each curve in a color that matches the color of the curve itself. Of course, I would like to do this somewhat transparently, so I can still see the other curves through the 'error region'. So, my question is: given a color (specified by either a number, a name or an rgb value --- note the first two pose an extra problem, but this is occurring rather often, as the basic plotting functions take these as valid color values), how can I find find the matching color that has the same rgb but a different (given) alpha level (transparency). I would like a function like: makeTransparent<-function(someColor, alpha=100) { newColor<-someColor + alpha #I wish return(newColor) } This should work for things like: makeTransparent(2) makeTransparent("red") makeTransparent(rgb(0,0,1)) Edit I hate it when I miss something obvious, but @themel pointed me to it (thx again). Here's a full solution (note: works vectorized, so you can pass more than one color; only one alpha is supported at this time though): #note: always pass alpha on the 0-255 scale makeTransparent<-function(someColor, alpha=100) { newColor<-col2rgb(someColor) apply(newColor, 2, function(curcoldata){rgb(red=curcoldata[1], green=curcoldata[2], blue=curcoldata[3],alpha=alpha, maxColorValue=255)}) }

Tags (comma-separated) Cancel