calibVars: Construct a matrix of binary variables for calibration

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/calibVars.R

Description

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

Usage

1

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

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data(eusilcS)
# default method
aux <- calibVars(eusilcS$rb090)
head(aux)
# data.frame method
aux <- calibVars(eusilcS[, c("db040", "rb090")])
head(aux)

simPop documentation built on Aug. 8, 2017, 5:06 p.m.