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From | Christoph Floethmann <Christoph.Floethmann@the-klu.org> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | st: Undesired drop of sequence data in Stata/IC 12.1 with SQ-Ado |
Date | Wed, 21 Aug 2013 15:54:48 +0000 |
Dear Statalist Users, I have a problem with my optimal matching analysis, using the SQ-Ado for Stata/IC 12.1 version. I have 311 observations, 14 element variables and 29 order variables (see output below). Reshaping, encoding and running the OM with the Needleman-Wunsch algorithm and clustering the output with Ward's method to six clusters works perfectly. But somehow I end-up only with 276 observations in the end. 35 observations, i.e. 35 sequences are dropped from my sample and I don't know why. All values fulfill the requirements and are coded identical. Has somebody an idea how I can get rid of that problem? This problem decreases my sample by over 10% which is not acceptable for me. Thanks in advance for your advices and help. Best regards, Christoph ------------------------------ Data wide -> long ----------------------------------------------------------------------------- Number of obs. 311 -> 9019 Number of variables 30 -> 3 j variable (29 values) -> order xij variables: y1 y2 ... y29 -> y ----------------------------------------------------------------------------- . . . . encode y, generate(y2) . . . . sqset y2 id order, rtrim Note: dataset has changed due to the use of option -rtrim- element variable: y2, 1 to 14 identifier variable: id, 1 to 311 order variable: order, 1 to 29 .sqom, indelcost(1.5) subcost(sub) name(om1) full standard(longer) Perform 37950 Comparisons with Needleman-Wunsch Algorithm Distance matrix saved as SQdist .sqclusterdat . clustermat wardslinkage SQdist, name(wards) add . cluster generate gten=group(6), name(wards) * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/