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Analyzing and Visualizing State Sequences in R with TraMineR

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  • Gabadinho, Alexis
  • Ritschard, Gilbert
  • Müller, Nicolas S
  • Studer, Matthias

Abstract

This article describes the many capabilities offered by the TraMineR toolbox for categorical sequence data. It focuses more specifically on the analysis and rendering of state sequences. Addressed features include the description of sets of sequences by means of transversal aggregated views, the computation of longitudinal characteristics of individual sequences and the measure of pairwise dissimilarities. Special emphasis is put on the multiple ways of visualizing sequences. The core element of the package is the state se- quence object in which we store the set of sequences together with attributes such as the alphabet, state labels and the color palette. The functions can then easily retrieve this information to ensure presentation homogeneity across all printed and graphical displays. The article also demonstrates how TraMineR’s outcomes give access to advanced analyses such as clustering and statistical modeling of sequence data.

Suggested Citation

  • Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    • Handle: RePEc:jss:jstsof:v:040:i04
    DOI: http://hdl.handle.net/10.18637/jss.v040.i04
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    References listed on IDEAS

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    1. Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    2. Matthias Studer & Gilbert Ritschard & Alexis Gabadinho & Nicolas S. Müller, 2011. "Discrepancy Analysis of State Sequences," Sociological Methods & Research, , vol. 40(3), pages 471-510, August.
    3. Gilbert Ritschard & Alexis Gabadinho & Nicolas S. Muller & Matthias Studer, 2008. "Mining event histories: a social science perspective," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 68-90.
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