Hi all, I appreciate your help.
Here are a sample of my script. I appreciate any help.
David, I will go ahead and try your suggestion as well.
Thanks.
library(survey)
clust<- svydesign(id=id, weights=wtper, strata=strat, data=data)
summary(cl
This does not work at all...
On Wed, Sep 26, 2012 at 12:04 PM, John Kane wrote:
> summary(fit1) perhaps/
>
> John Kane
> Kingston ON Canada
>
>
>> -Original Message-
>> From: cacamende...@gmail.com
>> Sent: Wed, 26 Sep 2012 11:39:30 -0300
>> To: r-help@r-project.org
>> Subject: [R] Retrie
Hi all,
I am using quantile regression with svy design. I want to retrieve
summary regression statistics (std error, p-value), since I don't have
any in my output:
Commands:
clus1_d<- svydesign(id=~cd002_co, weights=~wtper, strata=~str, data=data)
bclus1<-as.svrepdesign(clus1_d,type="bootstrap",
X and W.
>
> Bert is correct that R sig mixed models is the more appropriate list,
> but many people read both and there is no reason it cannot be answered
> here.
>
> Cheers,
>
> Josh
>
>
> On Mon, Jul 2, 2012 at 6:47 PM, Camila Mendes
> wrote:
> > Hey al
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 if
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