calibVars: Construct a matrix of binary variables for calibration

In simPop: Simulation of Complex Synthetic Data Information

Construct a matrix of binary variables for calibration

Description

Construct a matrix of binary variables for calibration of sample weights according to known marginal population totals. The following methods are implemented:

• calibVars.default(x)

• calibVars.matrix(x)

• calibVars.matrix(x)

• calibVars.data.frame(x)

Usage

calibVars(x)

Arguments

x	a vector that can be interpreted as factor, or a matrix or data.frame consisting of such variables.

Value

A matrix of binary variables that indicate membership to the corresponding factor levels.

Author(s)

Bernhard Meindl and Andreas Alfons

References

M. Templ, B. Meindl, A. Kowarik, A. Alfons, O. Dupriez (2017) Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information. Journal of Statistical Survey, 79 (10), 1–38. doi: 10.18637/jss.v079.i10

See Also

calibSample

Examples

data(eusilcS)
# default method
## Not run: 
aux <- calibVars(eusilcS$rb090)
head(aux)
# data.frame method
aux <- calibVars(eusilcS[, c("db040", "rb090")])
head(aux)

## End(Not run)

simPop documentation built on Nov. 10, 2022, 5:43 p.m.