[R-sig-Geo] R-sig-Geo Digest, Vol 91, Issue 8

[David Méndez]

Enviado desde mi HTC

----- Mensaje original -----
De: r-sig-geo-request at r-project.org
Enviado: Martes, 08 de Marzo de 2011 06:30
Para: r-sig-geo at r-project.org
Asunto: R-sig-Geo Digest, Vol 91, Issue 8

Send R-sig-Geo mailing list submissions to
	r-sig-geo at r-project.org

To subscribe or unsubscribe via the World Wide Web, visit
	https://stat.ethz.ch/mailman/listinfo/r-sig-geo
or, via email, send a message with subject or body 'help' to
	r-sig-geo-request at r-project.org

You can reach the person managing the list at
	r-sig-geo-owner at r-project.org

When replying, please edit your Subject line so it is more specific
than "Re: Contents of R-sig-Geo digest..."


Today's Topics:

   1. Re: self-starting non linear model (Tom Gottfried)
   2. Simple external drift kriging question (CC Greene)
   3. Re: Simple external drift kriging question (Tom Gottfried)
   4. sample.Polygons fails for shapes with more than four	Polygons
      (Aman Verma)
   5. Re: sample.Polygons fails for shapes with more than four
      Polygons (Roger Bivand)
   6. Re: cleaning up  a SpatialGridDataFrame (Robert Hijmans)
   7. methods to assess point distributions (ex. random, even,	or
      clumped distributions) (elaine kuo)
   8. Re: methods to assess point distributions (ex. random, even,
      or clumped distributions) (Roman Lu?trik)


----------------------------------------------------------------------

Message: 1
Date: Mon, 07 Mar 2011 14:41:59 +0100
From: Tom Gottfried <tom.gottfried at wzw.tum.de>
To: r-sig-geo at r-project.org
Subject: Re: [R-sig-Geo] self-starting non linear model
Message-ID: <4D74E0A7.1030101 at wzw.tum.de>
Content-Type: text/plain; charset=ISO-8859-1

Hi Anna,

maybe this more a subject to be discussed on R-help?

Tom

Am 06.03.2011 20:55, schrieb Anna Gretschel:
> Hi List!
> 
> I want to apply a selfstarting Michaelis-Menten-Model to my data:
> SSmicmen {stats}
> 
> I use thist function in the following way:
> model<-nls(distance~SSmicmen(watercontent, Vm, K))
> 
> When I want to compute it I get the error message:
> 
>                                                Fehler in lm.fit(x, y,
> offset = offset, singular.ok = singular.ok, ...) :
>                     

[No se incluye el mensaje original entero]