balancedtwostage {sampling}

Balanced two-stage sampling

Description

Selects a balanced two-stage sample.

Usage

balancedtwostage(X,selection,m,n,PU,comment=TRUE,method=1)

Arguments

X

matrix of auxiliary variables on which the sample must be balanced.

selection

1, for simple random sampling without replacement at each stage,
2, for self-weighting two-stage selection.

m

number of primary sampling units to be selected.

n

number of second-stage sampling units to be selected.

PU

vector of integers that defines the primary sampling units.

comment

a comment is written during the execution if comment is TRUE.

method

the used method in the function samplecube.

Value

The function returns a matrix whose columns are the following five vectors: the selected second-stage sampling units (0 - unselected, 1 - selected), the final inclusion probabilities, the selected primary sampling units, the inclusion probabilities of the first stage, the inclusion probabilities of the second stage.

See Also

samplecube, fastflightcube, landingcube, balancedstratification, balancedcluster

Examples

############
## Example 1
############
# definition of the primary units (3 primary units)
PU=c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3)
# matrix of balancing variables
X=cbind(c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15))
# selection of 2 primary sampling units and 4 second-stage sampling units
# sample and inclusion probabilities
s=balancedtwostage(X,1,2,4,PU,comment=TRUE)
s
############
## Example 2
############
data(MU284)
X=cbind(MU284$P75,MU284$CS82,MU284$SS82,MU284$ME84)
N=dim(X)[1]
PU=MU284$CL
m=20
n=60
# sample and inclusion probabilities
s=balancedtwostage(X,1,m,n,PU,TRUE)
s