Dear Statalisters,
Courtesy of Kit Baum, the SQ-Ados for Sequence Analysis has been updated on SSC. Users of previous versions of the SQ-Ados should type
to update their installation. Stata users who want to install the package the first time should type
instead.
The following is a short summary new features. The order of the mentions reflect my sense of importance. The most important changes are mentioned first.
Courtesy of Kit Baum, the SQ-Ados for Sequence Analysis has been updated on SSC. Users of previous versions of the SQ-Ados should type
Code:
adoupdate sq, update
Code:
ssc install sq
The following is a short summary new features. The order of the mentions reflect my sense of importance. The most important changes are mentioned first.
- sqom now has an interface to SADI, Brendan Halpins Stata Plugins for Sequence Analysis. This gives the users access to all distance measures provided by SADI and the advantage of the higher speed of these plugins. In order to invoke SADI, users of the SQ-Ados invoke sqom with the option sadi(name), where name is the name of one of SADI's distance measure. For example, the command
Code:. sqom, sadi(oma)
Users interested in using this function should also install SADI using
Code:. ssc install sadi
- So far it was recommended not to use wardslinkage for a cluster analysis on a distance matrix created by sqom. This recommendation is no longer valid. I do not see any obstacles against using wardslinkage in connection with the distance matrix left behind by sqom.
- The SQ-Ados now include programs to deal with sequences stored in string variables. Particularly, the new egen function sqstrnn(varname) searches in varname for strings that are similar to each entry in varname and writes the result to a new variable. This can be helpful for harmonizing the spellings of words in a string variable. Secondly the command sqstrlev varname creates a matrix holding the pairwise Levenshtein distances of all strings in varname. And, last but not least, the command sqstrmerge can be used to merge two datasets using a key variable with entries that are similar, but not identical.
- sqpercentageplot is a new graphical display of the sequence data set
- The egen function sqsucess() measures the sucess of a binary sequence
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