Re: [R] Retrieve regression summary results after rq

2012-09-27 Thread Camila Mendes
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

Re: [R] Retrieve regression summary results after rq

2012-09-26 Thread Camila Mendes
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

[R] Retrieve regression summary results after rq

2012-09-26 Thread Camila Mendes
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",

Re: [R] Help with lmer formula

2012-07-03 Thread Camila Mendes
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

[R] Help with lmer formula

2012-07-02 Thread Camila Mendes
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