Re: [R] Quartile regression question

From: Philippe Grosjean <phgrosjean_at_sciviews.org>
Date: Fri, 13 Jun 2008 21:55:37 +0200

Hello,

Look at package quantreg.

Philippe Grosjean

Ranney, Steven wrote:
> I have data that looks like
>
> lake,loglength,logweight
> 1,2.369215857,1.929418926
> 1,2.426511261,2.230448921
> 1,2.434568904,2.298853076
> 1,2.437750563,2.298853076
> 1,2.442479769,2.230448921
> 1,2.445604203,2.356025857
> ...
> 102,2.722633923,3.310268367
> 102,2.781755375,3.502153893
> 102,2.836324116,3.683407299
> 102,2.802773725,3.583312152
> 102,2.790285164,3.546419267
> 102,2.806179974,3.599118565
> 102,2.716837723,3.316180099
>
>
> I can regress log weight on log length simply enough, but how would I model the third quartile of log weights? In other words, rather than finding a 2nd quartile (or 50th percentile) regression line,
>
> e.g., mod=lm(logweight~loglength)
>
> can R find a 75th percentile line? Further, since my data is lake>1, is there a way to run 3rd quartile regressions on each lake? I would imagine that regressing each population would require some call of the subset function, but I cannot figure out how to call it.
>
> Thanks in advance,
>
> SR
>
> Steven H. Ranney
> Graduate Research Assistant (Ph.D)
> USGS Montana Cooperative Fishery Research Unit
> Montana State University
> PO Box 173460
> Bozeman, MT 59717-3460
>
> phone: (406) 994-6643
> fax: (406) 994-7479
>
>
> [[alternative HTML version deleted]]
>
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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Fri 13 Jun 2008 - 20:29:02 GMT

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