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 <jfz...@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
>
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>
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