This is a consequence of changes made to support multiple imputation, where
extracting the standard errors was needed. I will try to fix it. A work-around
is to use lapply() and subset()
lapply(c(E,M,H), function(s) svyquantile(~api99,subset(dclus1, stype==s),
ci=TRUE,quantiles=0.5))
I am having trouble understanding (i.e. getting) confidence intervals from
the survey package. I am using R version 2.8.1 (2008-12-22) and survey
package (3.11-2) on FC7 linux. To simplify my question I use an example from
that package:
R data(api)
R dclus1-svydesign(id=~dnum,
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