sampling (version 2.1)

balancedtwostage: Balanced two-stage sampling

Description

Selects a balanced two-stage sample. 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.

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.

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
s=balancedtwostage(X,1,2,4,PU,comment=TRUE)
# the sample and the inclusion probabilities
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
res=balancedtwostage(X,1,m,n,PU,TRUE)
# the sample and the inclusion probabilities
res