help expandcl dialog: expandcl
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Title
[D] expandcl -- Duplicate clustered observations
Syntax
expandcl [=]exp [if] [in] , cluster(varlist) generate(newvar)
Menu
Data > Create or change data > Other variable-transformation commands >
Duplicate clustered observations
Description
expandcl duplicates clusters of observations and generates a new variable
that identifies the clusters uniquely.
expandcl replaces each cluster in the dataset with n copies of the
cluster, where n is equal to the required expression rounded to the
nearest integer. The expression is required to be constant within
cluster. If the expression is less than 1 or equal to missing, it is
interpreted as if it were 1, and the cluster is retained but not
duplicated.
Options
cluster(varlist) is required and specifies the variables that identify
the clusters before expanding the data.
generate(newvar) is required and stores unique identifiers for the
duplicated clusters in newvar. newvar will identify the clusters by
using consecutive integers starting from 1.
Example
Setup
. webuse expclxmpl
List the data
. list, sep(0)
Replace each cluster with n copies of the cluster
. expandcl n, generate(newcl) cluster(cl)
Sort the observations based on values of newcl, cl, and x
. sort newcl cl x
List the resulting data
. list, sepby(newcl)
Also see
Manual: [D] expandcl
Help: [R] bsample, [D] expand
