search for: withreplicates

Hi, I am trying to fit a model with an ordered response variable (3 levels) and 13 predictor variables. The sample has complex survey design and I've used 'svydesign' command from the survey package to specify the sampling design. After reading the manual of 'svyglm' command, I've found that you can fit a logistic regression (binary response variable) by specifying the

...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",replicates=100) fit1<- withReplicates(bclus1,quote(coef(rq(newm428b~sch_new_2+sch_new_3+sch_new_4, tau=c(0.05,0.25,0.5,0.75,0.95),weights=wtper)))) Output: coefficients(fit1) tau= 0.05 tau= 0.25 tau= 0.50 tau= 0.75 tau= 0.95 (Intercept) 2340 2980 3.300000e+03 3750 4360.0000 sch_new_2 185 -...

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Hello all, I am using AddHealth data to fit a cure, aka split population model using nltm. I am not sure how to account for the complex survey design - does anyone have any suggestions? Any help would be greatly appreciated! Sincerely, Sam

I am new to R and am interested in using the program to fit quantile regression models to data collected from a multi-stage probability sample of the US population. The quantile regression package, rq, can accommodate person weights. However, it is not clear to me that boot.rq is appropriate for use with multi-stage samples (i.e., is capable of sampling primary sampling units instead of survey