Home  >>  Archives  >>  Volume 6 Number 4  >>  st0111

The Stata Journal
Volume 6 Number 4: pp. 435-460

Subscribe to the Stata Journal

Sequence analysis with Stata

Christian Brzinsky-Fay
Wissenschaftszentrum Berlin
Berlin, Germany
Ulrich Kohler
Wissenschaftszentrum Berlin
Berlin, Germany
Magdalena Luniak
Wissenschaftszentrum Berlin
Berlin, Germany
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.
Terms of use     View this article (PDF)

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

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS