Using final sample weight in survey package
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, Jos? 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
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