calibVars {simPop} | R Documentation |
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:
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calibVars.default(x)
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calibVars.matrix(x)
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calibVars.matrix(x)
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calibVars.data.frame(x)
Usage
calibVars(x)
Arguments
x |
a vector that can be interpreted as factor, or a matrix or
|
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
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)
[Package simPop version 2.1.3 Index]