survey (version 2.4)

svyratio: Ratio estimation

Description

Ratio estimation and estimates of totals based on ratios for complex survey samples.

Usage

svyratio(numerator, denominator, design)
svrepratio(numerator, denominator, design)
## S3 method for class 'svyratio':
predict(object, total, se=TRUE,...)

Arguments

numerator

formula, expression, or data frame giving numerator variable(s)

denominator

formula, expression, or data frame giving denominator variable(s)

design

from svydesign for svyratio, from svrepdesign for svrepratio

object

result of svyratio

total

vector of population totals for the denominator variables in object

se

Return standard errors?

...

Other unused arguments to predict

Value

• svyratio returns an object of class svyratio. The predict method returns a matrix of population totals and optionally a matrix of standard errors.

References

Levy and Lemeshow. "Sampling of Populations" (3rd edition). Wiley

See Also

svydesign

Examples

data(scd)

## survey design objects
scddes<-svydesign(data=scd, prob=~1, id=~ambulance, strata=~ESA,
nest=TRUE, fpc=rep(5,6))
scdnofpc<-svydesign(data=scd, prob=~1, id=~ambulance, strata=~ESA,
nest=TRUE)

# convert to BRR replicate weights
scd2brr <- as.svrepdesign(scdnofpc, type="BRR")

# use BRR replicate weights from Levy and Lemeshow
repweights<-2*cbind(c(1,0,1,0,1,0), c(1,0,0,1,0,1), c(0,1,1,0,0,1),
c(0,1,0,1,1,0))
scdrep<-svrepdesign(data=scd, type="BRR", repweights=repweights)

# ratio estimates
svyratio(~alive, ~arrests, design=scddes)
svyratio(~alive, ~arrests, design=scdnofpc)
svrepratio(~alive, ~arrests, design=scd2brr)
svrepratio(~alive, ~arrests, design=scdrep)