Dear list,
Sorry for answering my own post, but I have had partial sucess in
this. With the panel function below, I get separate histograms in each
panel using the group argument.
histogram(~vot | agem, nint=50,data=work,groups=Type, subset=agem > 24
& agem < 30, panel=panel.grouphist,type="count",ylim=c(0,20),auto.key=T)
panel.grouphist <- function(x,groups,...){
add <- T
grouplevels <- unique(groups)
ngroups <- length(grouplevels)
for(i in 1:ngroups){
gcol <- trellis.par.get("superpose.fill")$col[i]
gx <- x[groups == grouplevels[i]]
panel.histogram(gx,col=gcol,...)
}
}
However, the color I get in the key using simpleKey is not the same as
the one in the the plot.
How do I get the two functions to use the same color scale?
/Fredrik
On 8/8/05, Fredrik Karlsson <[EMAIL PROTECTED]> wrote:
> Hi Gary,
>
> I have found this, but it is not exactly what I am looking for.
> What I need is the groups to be inside of a single panel, not in
> different panels.
> Kind of like an histogram version of the xyplot(Y ~ X1,
> groups=X2,panel=panel.superpose) command. (I hope this is correct).
>
> /Fredrik
>
> On 8/8/05, Gary Collins <[EMAIL PROTECTED]> wrote:
> > Have a look at the "histogram" function in the Lattice package.
> >
> > if x are your data to be displayed and y is your grouping variable you
> > can just do
> >
> > > histogram(~x|y)
> >
> > HTH
> > Gary
> >
> > On 08/08/05, Fredrik Karlsson <[EMAIL PROTECTED]> wrote:
> > > Dear list,
> > >
> > > I would like to create histograms for up to three groups, with
> > > distincive colour/pattern, in a trellis panel. However, I have not
> > > been able to find a way to do this. histogram does not seem to have a
> > > group argument.
> > >
> > > Please help.
> > >
> > > /Fredrik
> > >
> > > ______________________________________________
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> > >
> >
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