Sequence analysis with Stata
Christian Brzinsky-Fay
Wissenschaftszentrum Berlin
Berlin, Germany
brzinsky-fay@wz-berlin.de
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Ulrich Kohler
Wissenschaftszentrum Berlin
Berlin, Germany
kohler@wz-berlin.de
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Magdalena Luniak
Wissenschaftszentrum Berlin
Berlin, Germany
luniak@wz-berlin.de
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Abstract. We describe a general strategy to analyze sequence data and introduce
SQ-Ados, a bundle of Stata programs implementing the proposed strategy. The
programs include several tools for describing and visualizing sequences as
well as a Mata library to perform optimal matching using the
Needleman–Wunsch algorithm. With these programs Stata becomes the
first statistical package to offer a complete set of tools for sequence
analysis.
View all articles by these authors:
Christian Brzinsky-Fay, Ulrich Kohler, Magdalena Luniak
View all articles with these keywords:
sqclusterdat, sqclustermat, sqdes, sqindexplot, sqom, sqparcoord, sqset, sqstatlist, sqstatsum, sqstattab1, sqstattab2, sqstattabsum, sqtab, sequence analysis, optimal matching, cluster analysis, panel data, longitudinal data, explorative data analysis, sequence index plot
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