Scatterplot with the 3rd dimension = color?
Oh, I just saw your ggplot example, that works well too. However, it seems much of the options are hidden for changing the range of colors or the color types altogether. I'm currently looking through the ggplot ref manuals. Thanks, kb
On Oct 2, 10:42?pm, Ben Bolker <bbol... at gmail.com> wrote:
Duncan Murdoch <murdoch.duncan <at> gmail.com> writes:
On 11-10-02 1:11 PM, Kerry wrote:
I have 3 columns of data and want to plot each row as a point in a scatter plot and want one column to be represented as a color gradient (e.g. larger ?values being more red). Anyone know the command or package for this?
It's not a particularly effective display, but here's how to do it. ?Use rainbow(101) in place of rev(heat.colors(101)) if you like.
x <- rnorm(10) y <- rnorm(10) z <- rnorm(10) colors <- rev(heat.colors(101)) zcolor <- colors[(z - min(z))/diff(range(z))*100 + 1] plot(x,y,col=zcolor)
? or d <- data.frame(x,y,z) library(ggplot2) qplot(x,y,colour=z,data=d) ? I agree about the "not particularly effective display" comment, but if you have two continuous predictors and a continuous response you've got a tough display problem -- your choices are: ? 1. use color, size, or some other graphical characteristic (pretty far down on the "Cleveland hierarchy") ? 2. use a perspective plot (hard to get the right viewing angle, often confusing) ? 3. use coplots/small multiples/faceting (requires discretizing one dimension)
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