[R] Scatterplot with the 3rd dimension = color?

[Kerry]

Can someone please help me out with this? The ggplot2 suggestion works
great but I've spent a few days trying to figure out how to plot 2
variables with it and I'm stuck. Here's my example code:

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")

I've been trying to get long format working but it just doesn't make
any sense to me.


Thanks,
kb

On Oct 17, 3:10 pm, Kerry <kbro... at gmail.com> wrote:
> Yes, the qplot works great, but do you know how to allow for multiple
> plots? I want one variable to be plotted say from blue to red and
> another say from yellow to green but in the same graph, each having
> there own separate legends. I've tried print() and arrange() but no
> luck.
>
> Thanks again,
> 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.
>
> ______________________________________________
> 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.