Thanks Joshua for the clear explanation.
I've previously posted in r sig mixed, but I got no response... :(
Cheers,
- Camila
On Mon, Jul 2, 2012 at 9:31 PM, Joshua Wiley wrote:
> Hi Camila,
>
> In mixed equation form instead of multilevel, it would be:
>
> Y_it = gamma_00 + gamma_10*X_it + ga
Hi Camila,
In mixed equation form instead of multilevel, it would be:
Y_it = gamma_00 + gamma_10*X_it + gamma_11*W_it*X + (e_it + u_0t + u_1j*X)
your code seems reasonable. Note that the random intercept and slope
will be correlated in your specification (unstructured if you want, it
is possibl
Wrong list.
Post to r-sig-mixed-models.
-- Bert
On Mon, Jul 2, 2012 at 6:47 PM, Camila Mendes wrote:
> Hey all -
>
> I am a newbie on mixed-effects models. I want to estimate the following
> model:
>
> Y_it = alpha_0t + alpha_1t*X_it + e_it
> alpha_0t = gamma_00 + u_0t
> alpha_1t = gamma_10 + g
0
> Stream
> Rocksgravel
> 1
> Rocks
> 0.45
> less1
> 025to05
>
>
> 0
>
>
>
> Stream
> Rocksgravel
> 1
> Rocks
> 0.45
> less1
> 025to05
>
>
>
>
>
>
>
>
>
>
>
help@r-project.org
> CC: england...@hotmail.com
> Subject: Re: [R] Help with lmer
> Date: Fri, 24 Jun 2011 17:19:00 +0200
>
> Sophie,
>
> I'm myself quite new to linear mixed effect models, but "PresenceAbsence"
> sounds like
> a binary response variable. S
Sophie,
I'm myself quite new to linear mixed effect models, but "PresenceAbsence"
sounds like
a binary response variable. So wouldn't be
m1<-lmer(Presencebsence~Habitatype*Width+(1|Sitename),familiy=binomial)
the first thing to try? There is also a special mailing list for linear -
mixe
You would be better off posting to R-sig-mixed-models or R-sig-ecology
-- Bert
On Thu, Nov 18, 2010 at 9:58 AM, Simon Garnier wrote:
> Dear all,
>
> I'm discovering the somehow confusing (for me) world of linear mixed models
> after having been advised it could be the best option to analyze my
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