Thank you Greg for your comments.
Here is a (very) simple example of what my data might look like:

res <- matrix(sample(20:25, 41*12, replace=T), nrow=12, ncol=41, 
dimnames=list(c(paste("sp",1:12)), c(seq(0, 200, by=5))))
barplot(res, space=0, legend.text=T, beside=F, col=c("white","grey50"), 
border=NA)
barplot(res, space=0, beside=F, angle=seq(0, 180, by=45), density=30, 
col="black", border=NA, xlab="time", ylab="biomass (t/ha)", add=T)

I have 3 replicates of the data for 2 sites that all have small but 
important differences. I would like to show them on a panel with 3 
columns and 2 rows.  This is why I thought using stacked area charts as 
they would let you easily compare between the 3 replicates.

thank you very much for your help
Markus


Greg Snow wrote:
> I would question if a stacked area chart is really the best way to display 
> information on 12 groups.  You can put a lot of information into the plot, 
> but the viewer will probably experience information overload and not be able 
> to get much useful information out of the plot.  Stacked area plots rely on 
> people being able to compare areas and lengths, which we don't do as well as 
> we compare positions in a graph.  If your viewer is needing to go back and 
> forth between the legend and the graph, then the information will be harder 
> to assimilate.  It may be better to use lattice/trellis graphs and plot each 
> line in its own panel (on the same scale and possibly with a light background 
> grid to make comparison easier).  If there are specific comparisons that you 
> want to point out, then make a separate graph with just those comparisons 
> leaving out the extra information that will just distract.
> 
> If you give us a better idea of what information you are trying to convey, we 
> may be able to give you some better options for graphs to use.
> 
> If you really want to go the pattern route then you may want to look at the 
> discussion from october that started with: 
> http://finzi.psych.upenn.edu/R/Rhelp02a/archive/111226.html and/or the 
> discussion from earlier this week started by yaosheng CHEN with the subject 
> "How to fill bar plot with textile rather than color".
> 
> Hope this helps,
> 
-- 

Markus Didion

Waldökologie                            Forest Ecology
Inst. f. Terrestrische Oekosysteme      Inst. of Terrestrial Ecosystems
Departement Umweltwissenschaften        Dept. of Environmental Sciences
Eidg. Technische Hochschule             Swiss Fed. Inst. of Technology
ETH-Zentrum CHN G78                     ETH-Zentrum CHN G78
Universitätstr. 22                      Universitaetstr. 22
CH-8092 Zürich                          CH-8092 Zurich
Schweiz                                 Switzerland

Tel +41 (0)44 632 5629          Fax +41 (0)44 632 1358  
Email [EMAIL PROTECTED]
homepage: http://www.fe.ethz.ch/people/didionm

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