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Performs a survey analysis on each of the designs in a
svyimputationList
objects and returns a list of results suitable
for MIcombine
. The analysis may be specified as an expression or
as a function.
# S3 method for svyimputationList
with(data, expr, fun, ...,multicore=getOption("survey.multicore"))
# S3 method for svyimputationList
subset(x, subset,...)
A svyimputationList
object
An expression giving a survey analysis
A function taking a survey design object as its argument
for future expansion
Use multicore
package to distribute imputed data sets over multiple processors?
An logical expression specifying the subset
A list of the results from applying the analysis to each design object.
MIcombine
, in the mitools
package
# NOT RUN {
library(mitools)
data.dir<-system.file("dta",package="mitools")
files.men<-list.files(data.dir,pattern="m.\\.dta$",full=TRUE)
men<-imputationList(lapply(files.men, foreign::read.dta))
files.women<-list.files(data.dir,pattern="f.\\.dta$",full=TRUE)
women<-imputationList(lapply(files.women, foreign::read.dta))
men<-update(men, sex=1)
women<-update(women,sex=0)
all<-rbind(men,women)
designs<-svydesign(id=~id, strata=~sex, data=all)
designs
results<-with(designs, svymean(~drkfre))
MIcombine(results)
summary(MIcombine(results))
# }
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