cubestratified {BalancedSampling} | R Documentation |
This is a fast implementation of stratified balanced sampling. To have a fixed sample size, include the inclusion probabilities as a balancing variable in Xbal
and make sure the inclusion probabilities sum to a positive integer (within each stratum).
cubestratified(prob,Xbal,integerStrata)
prob |
vector of length N with inclusion probabilities |
Xbal |
matrix of balancing auxiliary variables of N rows and r columns |
integerStrata |
vector of length N with stratum number |
Returns a vector of length N with sampling indicators.
Chauvet, G. (2009). Stratified balanced sampling. Survey Methodology, 35, 115-119.
## Not run: # Example 1 N = 10; n = 5; p = rep(n/N,N); strata = c(1,1,2,2,3,3,4,4,5,5); indicators = cubestratified(p,cbind(p),strata); s = (1:N)[indicators==1]; ## End(Not run)