I guess I didn't mention that I'm trying to do this in ggplot2 where I have
my color set up via:
geom_point(aes(colour = Date))
Not sure how to implement your suggestion within the confines of ggplot2.
Jim Lemon-2 wrote:
>
> On 10/10/2009 06:41 PM, Jim Lemon wrote:
>> Oops, should be:
>
>> g
On 10/10/2009 06:41 PM, Jim Lemon wrote:
Oops, should be:
gimmeDiffCol<-function(oldcol) {
rgbcomp<-col2rgb(oldcol)
if(rgbcomp[1,1]<127) newred<-sample(rgbcomp[1,1]:255,1)/255
else newred<-sample(0:rgbcomp[1,1],1)/255
if(rgbcomp[2,1]<127) newgreen<-sample(rgbcomp[2,1]:255,1)/255
else newg
On 10/10/2009 11:10 AM, Jonathan Bleyhl wrote:
On a similar note, I'm trying to plot continuous values on the y vs.
categorical (dates) on the x and I want to color by date, but I want the
colors to be random so points close to each other are easily
distinguishable. Any thoughts?
Thanks,
Jon
p
On a similar note, I'm trying to plot continuous values on the y vs.
categorical (dates) on the x and I want to color by date, but I want the
colors to be random so points close to each other are easily
distinguishable. Any thoughts?
Thanks,
Jon
per freem-2 wrote:
>
> hi all,
>
> suppose I ha
Maybe this is helpful.
Install ggplot2.
#Create a small example
x <- seq(1:20)
y <- (2*x) + rnorm(length(x),0,1)
id <- rep(1:5,each=4)
dat <- data.frame(x,y,id)
library(ggplot2)
p <- ggplot(dat,aes(x=x,y=y,colour=factor(id)))
p <- p + geom_point()
p
If this is not the correct structure, maybe i
5 matches
Mail list logo
