[R] distinguish regression lines in grouped, black and white lattice xyplot

[Chuck Cleland]

On 6/24/2009 3:28 PM, Katharina May wrote:
> Hi,
> 
> I've got the following problem which I cannot think of a solution right now:
> 
> if got a lattice xyplot in black and white and a grouping variable
> with many (more than 8
> values) and I plot it as regression lines (type="r"), just like this
> one (not reproducable but that's
> I guess not the point here):
> 
> xyplot(log(AGWB) ~ log(BM_roots), data=sub_agwb_data, groups=species,
> type="r", lty=c(1:6),panel=allo.panel.5)
> 
> The problem is that I've got 26 different values for the grouping
> variable species and only 6 default values for the line type
> lty (and according to the par {graphics} help page customizable to up
> to 8 different line types).
> 
> Does anybody have any idea how these 26 different lines can be made
> distinguishable from each other without the use
> of colors?

  If you need to distinguish individual regression lines, I would
consider 26 panels rather than attempting one panel with 26 regression
lines each of a different line type.  Something like this:

xyplot(log(AGWB) ~ log(BM_roots) | species, data=sub_agwb_data,
type="r", panel=allo.panel.5)

> Thanks,
> 
>          Katharina
> 
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-- 
Chuck Cleland, Ph.D.
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