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$weight)
design<-as.svrepdesign(small.w,type="bootstrap", replicates=100)
Cordialmente
Jose F. Zea
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hi, probably not.. if your survey dataset has a complex design (like clusters/strata), you need to include them in the `svydesign` call. coercing an incorrect survey design into a replicate-weighted design will not fix the problem of failing to account for the sampling strategy On Mon, Apr 4, 2016 at 12:01 AM, Jos? Fernando Zea <jfzeac at gmail.com> wrote:> I have the final sample weight (expansion factor) from a socieconomic > survey. I don't know the exact design used in the study ( (probably is a > stratified two-stage design). > > To illustrate my problem I will use the next dataset which have a sample > weight (but the design is not specified) and incorporate the design with > svydesign and create some bootstrap replicates in order to be able to > produce estimations. > > Is that correct?: > > > load(url("http://knutur.at/wsmt/R/RData/small.RData")) > library(survey) > small.w <- svydesign(ids = ~1, data = small, weights = small$weight) > design<-as.svrepdesign(small.w,type="bootstrap", replicates=100) > > > > Cordialmente > Jose F. Zea > > [[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]]
On Mon, Apr 4, 2016 at 9:35 AM, Anthony Damico <ajdamico at gmail.com> wrote:> 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.Amen, Anthony! I would say **Fortune Nomination!** -- except that this may be a bit too technical and statistical. But it's well said, nevertheless. Thanks. -- Bert> > 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 >> >> [[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]] > > ______________________________________________ > 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.