Appendix
Texte intégral
Software
1Standard commercial statistics software (e.g., SAS®, Stata®, SPSS®) can be used to calculate composite indicators concerning trajectories, code them in complete disjunctive or simplified form, and perform factor analyses and most automatic clustering procedures.
2This is not the case, however, of sequence analysis in general or of optimal matching (OM) in particular. SAS® and SPSS® currently do not provide for a satisfactory implementation of sequence analysis methods. Stata® has a module, SQ, which is dedicated to OM (Brzinsky-Fay et al., 2006) and can also be used to produce index plots. It is relatively slow, but Brendan Halpin offers a faster version of the OM algorithm, other metrics, and a number of useful functions, making Stata® a suitable choice for producing typologies of trajectories (Halpin, 2017).
3http://teaching.sociology.ul.ie/seqanal/
4TDA—statistical freeware that is focused mainly on event history analysis—includes fast and relatively simple functions for sequence analysis and OM (Rohwer & Pötter, 2005).
5http://www.stat.ruhr-uni-bochum.de/tda.html
6The calculation of dynamic Hamming distances has been implemented by its creator, Laurent Lesnard, in Stata® and SAS® (the seqcomp plug-in).
7http://laurent.lesnard.free.fr/rubrique.php3?id_rubrique=4
8Cees Elzinga has developed his own software, CHESA, to make available his metrics and the calculation of sequence turbulence.
9There is also other software specifically for sequence analysis and OM: Optimize, developed by Andrew Abbott (but not updated since 1997), and software from biology (e.g., PileUp, ClustalG).
10http://www.hku.hk/bruhk/gcgdoc/pileup.html
11But the most efficient and complete tool for sequence analysis is doubtless the R software environment, used with the TraMineR (Gabadinho et al., 2009) and TraMineRextras packages. It offers numerous options: OM, along with all the other dissimilarity measures mentioned in this book; various types of graphical representations, including index plots; functions for computing entropy, turbulence, and complexity; analysis of variance; and decision trees. And it is entirely free.
Le texte seul est utilisable sous licence Licence OpenEdition Books. Les autres éléments (illustrations, fichiers annexes importés) sont « Tous droits réservés », sauf mention contraire.
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