M
Påopklpnlbyjönvnmm
M. Öplppkbkvöökä knbnnåöllpööåååtx hikkkhgxxx vj julöl
Sent from my iPhonejukujöbömjl jnmnmmm
Sorry for keeping things short
Gustaf Granath (phd)
Plant Ecology
Uppsala University
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, 2012 9:10 AM, peter dalgaard pda...@gmail.com
mailto:pda...@gmail.com wrote:
On Nov 11, 2012, at 16:57 , Gustaf Granath wrote:
M
Påopklpnlbyjönvnmm
M. Öplppkbkvöökä knbnnåöllpööåååtx hikkkhgxxx vj julöl
Julöl? (Christmas beer)
That would explain it, I suppose
a factor variable for the
site:time interaction (i.e. one level for each combination of site and time)
but that would be pushing it a bit for this number of data.
Simon
On Wednesday 22 October 2008 13:05, Gustaf Granath wrote:
R fellows,
I hope my questions are not too much about statistical
-gam(y~s(x),data=mydata)
#Model including the factor Site. id=1 to get the same smothing
parameter at each factor level.
mod.with.site-gam(y~Site+s(x,by=Site,id=1),data=mydata)
#AIC for the two models
AIC(mod.no.site,mod.with.site)
Thanks,
Gustaf Granath (phd student
]
project.org] On Behalf Of Gustaf Granath
Sent: February-16-08 11:43 AM
To: r-help@r-project.org
Subject: [R] Weird SEs with effect()
Hi all,
Im a little bit confused concerning the effect() command, effects
package.
I have done several glm models with family=quasipoisson:
model -glm(Y~X+Q+Z
:[EMAIL PROTECTED]
Sent: February-17-08 6:42 AM
To: Gustaf Granath
Cc: John Fox; r-help@r-project.org
Subject: Re: [R] Weird SEs with effect()
On Sun, 17 Feb 2008, Gustaf Granath wrote:
Hi John,
In fact I am still a little bit confused because I had read the
?effect help
but I guess that
should not be a problem.
For code and data, see below.
Cheers,
Gustaf Granath, phd student
My code so far:
#Creating data
c(6.34,13.38,17.87)-y1
c(0.85,1.88,2.33)-y2
c(0,1.5,3)-x
cbind(y1,y2,x)-mydata
data.frame(mydata)-mydata
with(mydata, tapply(y1,x,mean))-mean.y1
with(mydata
and B1 combined as one mean
(the baseline)? or is it something else? Does this number actually
tell me anything
useful (2.716)??
What does the model (y = intercept + ??) look like then? I can't understand
how both factors (A and B) can have the same intercept?
Thanks in advance!!
Gustaf Granath
something trivial though so please, be gentle ;)
Cheers,
Gustaf Granath
--
Gustaf Granath (PhD student)
Dept of Plant Ecology
Evolutionary Biology Centre (EBC)
Uppsala University
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