Scatterplot with the 3rd dimension = color?
Here's my loadable data in case it helps. It creates 2 separate plots which I'd like to be in the same graph with 2 separate legends. library(ggplot2) #Here's the 1st plot x<-rnorm(100) y<-rnorm(100) z<-rnorm(100) d <- data.frame(x,y,z) dg<-qplot(x,y,colour=z,data=d) dg + scale_colour_gradient(low="red", high="blue") #Here's the 2nd plot which will delete the 1st plot above but I'd like them to be plotted together x1<-rnorm(100) y2<-rnorm(100) z3<-rnorm(100) d1 <- data.frame(x1,y1,z1) dg1 <-qplot(x1,y1,colour=z1,data=d1) dg1 + scale_colour_gradient(low="green", high="yellow") 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)
______________________________________________ R-h... at r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.