subset.survey.design {survey} | R Documentation

## Subset of survey

### Description

Restrict a survey design to a subpopulation, keeping the original design information about number of clusters, strata. If the design has no post-stratification or calibration data the subset will use proportionately less memory.

### Usage

    ## S3 method for class 'survey.design':
    subset(x, subset, ...)
    ## S3 method for class 'svyrep.design':
    subset(x, subset, ...)

### Arguments

`x` | A survey design object
`subset` | An expression specifying the subpopulation
`...` | Arguments not used by this method

### Value

A new survey design object

### See Also

`svydesign`

### Examples

    data(fpc)
    dfpc<-svydesign(id=~psuid,strat=~stratid,weight=~weight,data=fpc,nest=TRUE)
    dsub<-subset(dfpc,x>4)
    summary(dsub)
    svymean(~x,design=dsub)

    ## These should give the same domain estimates and standard errors
    svyby(~x,~I(x>4),design=dfpc, svymean)
    summary(svyglm(x~I(x>4)+0,design=dfpc))

    data(api)
    dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
    rclus1<-as.svrepdesign(dclus1)
    svymean(~enroll, subset(dclus1, sch.wide=="Yes" & comp.imp=="Yes"))
    svymean(~enroll, subset(rclus1, sch.wide=="Yes" & comp.imp=="Yes"))

[Package survey version 3.19 Index]