balstrat: Balanced Stratification

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

Description

Select a stratified balanced sample. The function is similar to balancedstratification of the package sampling.

Usage

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balstrat(X, strata, pik)

Arguments

X

A matrix of size (N x p) of auxiliary variables on which the sample must be balanced.

strata

A vector of integers that specifies the stratification.

pik

A vector of inclusion probabilities.

Details

The function implements the method proposed by Chauvet (2009). Firstly, a flight phase is performed on each strata. Secondly, a flight phase is applied on the whole population by aggregating the strata. Finally, a landing phase is applied by suppression of variables.

Value

A vector with elements equal to 0 or 1. The value 1 indicates that the unit is selected while the value 0 is for rejected units.

Author(s)

Raphaël Jauslin raphael.jauslin@unine.ch

References

Chauvet, G. (2009). Stratified balanced sampling. Survey Methodology, 35:115-119.

See Also

ffphase,landingRM

Examples

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N <- 100
n <- 10
p <- 4
X <- matrix(rgamma(N*p,4,25),ncol = p)
strata <- as.matrix(rep(1:n,each = N/n))
pik <- rep(n/N,N)

s <- balstrat(X,strata,pik)

t(X/pik)%*%s
t(X/pik)%*%pik

Xcat <- disj(strata)

t(Xcat)%*%s
t(Xcat)%*%pik

StratifiedSampling documentation built on Sept. 24, 2021, 5:07 p.m.