Household crowding

A tiny dataset from the VPLX manual.

data(crowd)

Format

A data frame with 6 observations on the following 5 variables.

rooms

Number of rooms in the house

person

Number of people in the household

weight

Sampling weight

cluster

Cluster number

stratum

Stratum number

Source

Manual for VPLX, Census Bureau.

Examples

data(crowd)

## Example 1-1
i1.1<-as.svrepdesign(svydesign(id=~cluster, weight=~weight,data=crowd))
i1.1<-update(i1.1, room.ratio=rooms/person,
overcrowded=factor(person>rooms))
svymean(~rooms+person+room.ratio,i1.1)
#>              mean     SE
#> rooms      6.0000 0.6831
#> person     4.0000 1.1832
#> room.ratio 2.3274 0.6006
svytotal(~rooms+person+room.ratio,i1.1)
#>             total     SE
#> rooms      36.000 4.0988
#> person     24.000 7.0993
#> room.ratio 13.964 3.6037
svymean(~rooms+person+room.ratio,subset(i1.1,overcrowded==TRUE))
#>               mean     SE
#> rooms      5.50000 0.6455
#> person     7.50000 0.6455
#> room.ratio 0.73214 0.0231
svytotal(~rooms+person+room.ratio,subset(i1.1,overcrowded==TRUE))
#>              total     SE
#> rooms      11.0000 7.0000
#> person     15.0000 9.5184
#> room.ratio  1.4643 0.9265

## Example 1-2
i1.2<-as.svrepdesign(svydesign(id=~cluster,weight=~weight,strata=~stratum, data=crowd))
svymean(~rooms+person,i1.2)
#>        mean     SE
#> rooms     6 0.2357
#> person    4 0.4082
svytotal(~rooms+person,i1.2)
#>        total     SE
#> rooms     36 1.4142
#> person    24 2.4495