Jari,
Ok, it is clearer now, thanks a lot.
Cheers
EDGAR
De: Jari Oksanen
Para: Edgar Torres
CC: "r-sig-ecology@r-project.org"
Enviado: Martes, 14 de febrero, 2012 8:13:03
Asunto: Re: [R-sig-eco] Error in CAPdiscrim() in BiodiversityR
On 13/0
Hello everyone,
I am using CAPdiscrim function, but when I try to do the ordiplot it sends me
an error message:
Erreur dans scores.default(ord, choices = choices, display = "sites") :
indice hors limites (French)
Error in scores.default(ord, choices = choices, display = "sites") : index out
Hi, maybe my mail was so ambitious... Is there any one that knows how
specaccum() function works? And some references to better understand?
Thanks a lot!
I am sorry for my insistence.
EDGAR
Dear all,Â
I am trying
to estimate the species richness from two periods of years (1998-1999 and
2005-20
Dear all,
I am trying
to estimate the species richness from two periods of years (1998-1999 and
2005-2008), unfortunately I do not have the same sampling effort. Actually my
data corresponding to observer data from tropical tuna purse seine. I have four
groups of species (e.g. sea turtles, sharks
Dear Tom,
It works with my R 32 bits version! Sorry for the waste of time!
Cheers
EDGAR
De: "tom_phili...@nps.gov"
Para: Edgar Torres
CC: "r-sig-ecology@r-project.org" ;
r-sig-ecology-boun...@r-project.org
Enviado: Viernes, 18 de novi
Hello
I am trying to connect to a database in Acces 2007. But it show an error
message telling me that there is a problem with the connection.
My computer has Windows 7 64-bits. How can I install a driver? Where can I find
it? and How can I pick one?
> obs <- odbcConnectAccess2007("F:/Patudo_da
10/12/so-called_fixed/) but I am
curious as to what advice others on this list have.
Cheers,
Chris Parker
On Fri, Aug 19, 2011 at 11:05 AM, Elizabeth Green wrote:
>
> On Aug 19, 2011, at 2:00 AM,
> r-sig-ecology-request@r-**project.orgwrote:
>
>
>> 1. Random effects in a lin
Hi,
I have longitudinal data corresponding to different indicators about
fishing activities by vessel. I used package lme4 to estimate the mixed model.
LMM1 <- lmer(Op_Obj ~ YEAR
+ (1 + YEAR| fBOAT), data=YM, family=gaussian, na.action=na.omit, verbose=T)
I saw that
analyzing longitudinal data,
