But it does the same thing.  What 'advantage' of tapply do you think that
you are missing?  Performance is probably not impacted since most of the
time is in the plot.

On 2/16/07, niederlein-rstat@yahoo.de <niederlein-rstat@yahoo.de> wrote:
>
> Hi Jim,
>
> jim holtman schrieb:
> > Here is one way:
> >
> > t <- split(mat, classes)
> > for (i in names(t)) plotdensity(t[[i]], main=i)
> >
>
> But then I don't use the advantages of the tapply anymore...
>
> > What is the problem you are trying to solve?
>
> I have a set of data (multiple files), which belong to different
> conditions (one or more files per condition). I wanted to read the data
> set and a "description" of the conditions and then automatically create
> plots for data of the same condition.
>
> Maybe it's much to complicate the way I do...
>
> Antje
>
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-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem you are trying to solve?

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