This is probably a trivial thing to do in R, but I can't find any built-in function that does that:
How to transform a vector of values (let's say numeric values) to a vector of colours, given a colour ramp.
The idea in my comment above could be implemented via seq()
and cut()
. The first step is to create equal interval bins over the range of the data
brks <- with(mtcars, seq(min(mpg), max(mpg), length.out = 65))
We now assign each of the observations to one of the bins formed by the breaks brks
grps <- with(mtcars, cut(mpg, breaks = brks, include.lowest = TRUE))
grps
is a factor indicating to which bin each observation in the data is assigned
> head(grps)
[1] (20.7,21] (20.7,21] (22.5,22.9] (21,21.4] (18.5,18.8]
[6] (17.7,18.1]
64 Levels: [10.4,10.8] (10.8,11.1] (11.1,11.5] ... (33.5,33.9]
As grps
is stored internally as an integer 1:nlevels(grps))
we can use this integer to index the colour ramp:
> terrain.colors(64)[grps]
[1] "#CADF00FF" "#CADF00FF" "#E6D90EFF" "#D3E100FF" "#96D300FF"
[6] "#85CF00FF" "#3CBA00FF" "#E8C133FF" "#E6D90EFF" "#9ED500FF"
[11] "#85CF00FF" "#67C700FF" "#76CB00FF" "#51C000FF" "#00A600FF"
[16] "#00A600FF" "#43BC00FF" "#F1D6D3FF" "#EFBEACFF" "#F2F2F2FF"
[21] "#DCE300FF" "#51C000FF" "#51C000FF" "#29B400FF" "#9ED500FF"
[26] "#EBB16EFF" "#EAB550FF" "#EFBEACFF" "#58C300FF" "#AFD900FF"
[31] "#4ABE00FF" "#D3E100FF"
An alternative might be to use colourRamp()
, which returns a function that interpolates a set of provided colours. The produced function takes values in the range [0,1) that cover the range of the colour ramp. First we produce a colour ramp function that interpolates between the colours red and blue:
FUN <- colorRamp(c("red","blue"))
We then take our input data and get it on to a [0,1) interval:
MPG <- with(mtcars, (mpg - min(mpg)) / diff(range(mpg)))
We then use FUN()
to generate the colours:
> cols <- FUN(MPG)
> head(cols)
[,1] [,2] [,3]
[1,] 139.9787 115.02128 0
[2,] 139.9787 115.02128 0
[3,] 120.4468 134.55319 0
[4,] 135.6383 119.36170 0
[5,] 164.9362 90.06383 0
[6,] 171.4468 83.55319 0
The object returned by FUN()
is a matrix of values for the Red, Green, and Blue channels. To convert these to hex codes that R can use, we employ the rgb()
function:
> rgb(cols, maxColorValue=256)
[1] "#8B7300" "#8B7300" "#788600" "#877700" "#A45A00" "#AB5300"
[7] "#D42A00" "#679700" "#788600" "#9F5F00" "#AE5000" "#BD4100"
[13] "#B34B00" "#CA3400" "#FE0000" "#FE0000" "#D02E00" "#10EE00"
[19] "#26D800" "#00FE00" "#867800" "#C73700" "#CA3400" "#DF1F00"
[25] "#9F5F00" "#47B700" "#55A900" "#26D800" "#C43A00" "#996500"
[31] "#CC3200" "#877700"
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