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Philippe Grosjean wrote:
<blockquote TYPE=CITE><span class=504303516-12082001><font face="Courier New"><font size=-1><font color="#000000">> </span></font>Do
you refer to something related to the Getis statistics ? If so, you may
find helpfull things in the geoR package (which is btw described in the
exxxxcellent latest R-newsletter).</font></font>
<br><span class=504303516-12082001><font face="Courier New"><font size=-1>
I suspect it is rather the G-test, alias "log likelihood ratio test", a
test similar to Chi-2 but more robust (see: Sokal & Rholf, Biometry,
2nd Ed, p. 696)... I am interested too. So, if someone has a suggestion? </span><span class=504303516-12082001></span><span class=504303516-12082001>Best
regards,</span><span class=504303516-12082001></span><span class=504303516-12082001>Philippe
Grosjean</font></font></span><span class=504303516-12082001></span><span class=504303516-12082001>
<br> </blockquote>
<p>....hmmmm....
<br>
<p>If I recollect correctly, the VR package offers something called
loglm that could do what you are looking for....
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<p>Regards,
<br>
<br>
<br>
<br>
<p>Laurent
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<br>
<pre>--
Laurent Gautier CBS, Building 208, DTU
PhD. Student D-2800 Lyngby,Denmark
tel: +45 45 25 24 85 <A HREF="http://www.cbs.dtu.dk/laurent">http://www.cbs.dtu.dk/laurent</A></pre>
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