with.svyimputationList {survey}R Documentation

Analyse multiple imputations

Description

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.

Usage

## S3 method for class 'svyimputationList'
with(data, expr, fun, ...,multicore=getOption("survey.multicore"))
## S3 method for class 'svyimputationList'
subset(x, subset,...)

Arguments

data,x

A svyimputationList object

expr

An expression giving a survey analysis

fun

A function taking a survey design object as its argument

...

for future expansion

multicore

Use multicore package to distribute imputed data sets over multiple processors?

subset

An logical expression specifying the subset

Value

A list of the results from applying the analysis to each design object.

See Also

MIcombine, in the mitools package

Examples

library(mitools)
data.dir<-system.file("dta",package="mitools")
files.men<-list.files(data.dir,pattern="m.\\.dta$",full=TRUE)
men<-imputationList(lapply(files.men, foreign::read.dta,
	warn.missing.labels=FALSE))
files.women<-list.files(data.dir,pattern="f.\\.dta$",full=TRUE)
women<-imputationList(lapply(files.women, foreign::read.dta,
	warn.missing.labels=FALSE))
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))

repdesigns<-as.svrepdesign(designs, type="boot", replicates=50)
MIcombine(with(repdesigns, svymean(~drkfre)))


[Package survey version 4.1-1 Index]