Hi, I have three related variables (vectors) and would like to see their distribution on a 2D plot of first two variables, having colors proportional to the values from third variable. I could have done so by passing 3rd variable to the color palette, but this would disrupt the relationship information among them. I am sure there has to be some way to do it, but I don't know how. Any help in this direction will be appreciated. thanks jo [[alternative HTML version deleted]]
Hi, Are your variable numerical? If so, you can do what you want by just define the color as the variable (col = variable3). Colors in R can be defined by numbers, so each number will corresponds to one color. In example: plot( iris[, 1], iris[, 2], col = iris[,3]) Regards 2009/3/18 Josh <tejalonline@gmail.com>> Hi, > I have three related variables (vectors) and would like to see their > distribution on a 2D plot of first two variables, having colors > proportional > to the values from third variable. I could have done so by passing 3rd > variable to the color palette, but this would disrupt the relationship > information among them. > I am sure there has to be some way to do it, but I don't know how. Any help > in this direction will be appreciated. > > thanks > jo > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]
Josh wrote:> Hi, > I have three related variables (vectors) and would like to see their > distribution on a 2D plot of first two variables, having colors proportional > to the values from third variable. I could have done so by passing 3rd > variable to the color palette, but this would disrupt the relationship > information among them. > I am sure there has to be some way to do it, but I don't know how. Any help > in this direction will be appreciated. > >Hi Josh, Have a look at color.scale in the plotrix package. This function converts numeric values into colors along an arbitrary color dimension. Jim
Hi,
Be sure to take a look at the levelplot() function from the lattice
package. From the documentation of levelplot:
library(lattice)
x <- seq(pi/4, 5 * pi, length.out = 100)
y <- seq(pi/4, 5 * pi, length.out = 100)
r <- as.vector(sqrt(outer(x^2, y^2, "+")))
grid <- expand.grid(x=x, y=y)
grid$z <- cos(r^2) * exp(-r/(pi^3))
levelplot(z~x*y, grid, cuts = 50, scales=list(log="e"),
xlab="",
ylab="", main="Weird Function", sub="with
log scales",
colorkey = FALSE, region = TRUE)
cheers,
Paul
Josh wrote:> Hi,
> I have three related variables (vectors) and would like to see their
> distribution on a 2D plot of first two variables, having colors
proportional
> to the values from third variable. I could have done so by passing 3rd
> variable to the color palette, but this would disrupt the relationship
> information among them.
> I am sure there has to be some way to do it, but I don't know how. Any
help
> in this direction will be appreciated.
>
> thanks
> jo
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +3130 274 3113 Mon-Tue
Phone: +3130 253 5773 Wed-Fri
http://intamap.geo.uu.nl/~paul