help sqclusterdat(SJ6-4: st0111)

Title

sqclusterdat -- Add solution of MDS on dissimilarity matrix to sequence data

Syntax

sqclusterdat [, return keep]

Description

If the command sqom was performed with option full,
further analysis of the resulting dissimilarity matrix becomes
indispensable. Cluster analysis is the most common technique for this
step. Unfortunately, sequence data and the resulting dissimilarity
matrices have different dimensions, so that the cluster variables
cannot easily be attached to the sequence data on a row-by-row
basis. sqclusterdat allows linking the results of user-specified
cluster commands to the original sequence data.

Without return, the command constructs a dataset
that is built from instructions left over from the last sqom
command. The user may then specify arbitrary clustermat
commands, as well as applicable postclustering commands
in this dataset. After performing the cluster analysis,
sqclusterdat, return brings the cluster results back into the
original sequence data.

Note that sqclusterdat, return only works if you have specified
the option add in for any cluster analyisis performed with
clustermat.

The option keep(varlist) is usable for
clusterdat, return only. It is used to specify a list of
hand-made variables that should be merged to the original dataset as
well. This is especially useful for variables created with
cluster generate.

The convenience command sqclustermat allows
performing the three steps with one single command. Cluster
postestimation commands do not work in this case, however.

Author

Ulrich Kohler, University of Potsdam, ulrich.kohler@uni-potsdam.de

Examples

. sqom, full k(2)

. sqclusterdat

. clustermat singlelinkage SQdist, add name(mydist1)

. clustermat singlelinkage SQdist, add name(mydist2)

. cluster tree mydist1

. cluster generate gr = groups(2)

. sqclusterdat, return keep(gr)

Also see

Manual: [MV] clustermat

Online: sq,
sqdemo, sqset, sqdes, sqegen, sqstat,
sqindexplot, sqparcoord, sqom,
sqclusterdat, sqclustermat