balancedcluster {sampling} | R Documentation |
Select a balanced sample of clusters and return a matrix that contains the vector of inclusion probabilities and the selected sample.
balancedcluster(X,m,cluster,selection=1,comment=TRUE,method=1)
X |
matrix of auxiliary variables on which the sample must be balanced. |
m |
number of clusters to be selected. |
cluster |
vector of integers that defines the clusters. |
selection |
1, selection of the clusters with unequal probabilities proportional
to the size, 2, selection of the clusters with equal probabilities. |
comment |
a comment is written during the execution if comment is equal to TRUE . |
method |
the used method in the function samplecube. |
samplecube
, fastflightcube
, landingcube
############ ## Example 1 ############ # definition of the clusters (3 clusters) cluster=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 clusters s=balancedcluster(X,2,cluster,2,TRUE) # The sample of clusters with the inclusion probabilities of the clusters s ############ ## Example 2 ############ data(MU284) X=cbind(MU284$P75,MU284$CS82,MU284$SS82,MU284$S82,MU284$ME84) b=balancedcluster(X,10,MU284$CL,1,TRUE) b