Hi:

Look at the function plotmeans() in package gplots and run
example(plotmeans).
I tried something like
plotmeans(Relevance ~ round(Position, 3), data = df, xlab = 'Position')
but you may want to play with some of the options to get what you want.

HTH,
Dennis

On Wed, Jun 16, 2010 at 8:25 AM, <odif@gmx.de> wrote:

> Hello,
>
> I have a data frame that looks like
>
> Position, Relevance
> 0, 0.151531117072265
> 0, 0.245532564696541
> 0, 0.285207130323724
> 0, 0.302718099889669
> 0, 0.308213700400889
> 0, 0.341562706518953
> 0.0151515151515152, 0.368991215730364
> 0.0263157894736842, 0.256406702156839
> 0.0263157894736842, 0.344003157058329
> 0.0303030303030303, 0.200307950418176
> 0.0303030303030303, 0.558093143666938
> 0.04, 0.363786583569412
> 0.04, 0.462668853163967
>
> and I'd like to have a plot like
> http://www.statmethods.net/stats/images/meanplot.jpg Position shall be
> plotted to the x-axis and Relevance to y-axis. Foreach value that occurs in
> the column Position the of all corresponding values in the second column and
> their variance shall be plotted. Furthermore all means shall be connected by
> a curve.
>
> I have no idea how to realize that. Can you help me to do this? What kind
> of plotting command do I have to use?
>
> Best regards
> odif
> --
> GRATIS für alle GMX-Mitglieder: Die maxdome Movie-FLAT!
>
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