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 jwiley.ps...@gmail.com wrote:
Hi Camila,
In mixed equation form instead of multilevel, it would be:
Y_it = gamma_00 +
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 + gamma_11*W_it + u_1j
Where Y is my outcome, X is my level-1 predictor, and W is my level 2
predictor.
I am not sure
Wrong list.
Post to r-sig-mixed-models.
-- Bert
On Mon, Jul 2, 2012 at 6:47 PM, Camila Mendes cacamende...@gmail.comwrote:
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
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
-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. So wouldn't be
m1-lmer(Presencebsence~Habitatype*Width
: hugo.mildenber...@web.de
To: r-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. So
Hey,
I am having trouble with lmer. I am looking at the presence/absence of water
shrews against habitat and other factors e.g
so I used this:
m1-lmer(Presencebsence~Habitatype*Width+(1|Sitename))summary(m1)
But i keep getting this error up
Error in mer_finalize(ans) : Downdated X'X is not
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 -
mixed
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 dataset.
After several days of reading, I'm not sure that what I ended up with makes
some sense and I'd greatly appreciate any help and
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 sgarn...@princeton.edu 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
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