[R] Using final sample weight in survey package

[Anthony Damico]

hi, probably not..  if your survey dataset has a complex design (like
clusters/strata), you need to include them in the `svydesign` call.
coercing an incorrect survey design into a replicate-weighted design will
not fix the problem of failing to account for the sampling strategy

On Mon, Apr 4, 2016 at 12:01 AM, José Fernando Zea <jfzeac at gmail.com> wrote:

> I have the final sample weight (expansion factor) from a socieconomic
> survey. I don't know the exact design used in the study ( (probably is a
> stratified two-stage design).
>
> To illustrate my problem I will use the next dataset which have a sample
> weight (but the design is not specified) and incorporate the design with
> svydesign and create some bootstrap replicates in order to be able to
> produce estimations.
>
> Is that correct?:
>
>
> load(url("http://knutur.at/wsmt/R/RData/small.RData"))
> library(survey)
> small.w <- svydesign(ids = ~1, data = small, weights = small$weight)
> design<-as.svrepdesign(small.w,type="bootstrap", replicates=100)
>
>
>
> Cordialmente
> Jose F. Zea
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

	[[alternative HTML version deleted]]