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

[Bert Gunter]

Don't be silly. They can't be made "distinguishable" by any number of line
types and/or colors. The brain can't keep that many different symbol
representations straight. Referring back and forth to a legend is also
similarly useless. You need to think more creatively about how to make a
more meaningful display to provide viewers interpretable information.

Bert Gunter
Genentech Nonclinical Biostatistics


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Katharina May
Sent: Wednesday, June 24, 2009 12:28 PM
To: r-help at r-project.org
Subject: [R] distinguish regression lines in grouped,black and white lattice
xyplot

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?

Thanks,

         Katharina

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