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Eulerian tour algorithms for data visualization and the PairViz package

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Abstract

PairViz is an R package that produces orderings of statistical objects for visualization purposes. We abstract the ordering problem to one of constructing edge-traversals of (possibly weighted) graphs. PairViz implements various edge traversal algorithms which are based on Eulerian tours and Hamiltonian decompositions. We describe these algorithms, their PairViz implementation and discuss their properties and performance. We illustrate their application to two visualization problems, that of assessing rater agreement, and model comparison in regression.

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Authors and Affiliations

  1. Department of Mathematics, National University of Ireland, Maynooth, Maynooth, Co. Kildare, Ireland

    C. B. Hurley

  2. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada

    R. W. Oldford

Authors
  1. C. B. Hurley
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  2. R. W. Oldford
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Corresponding author

Correspondence to C. B. Hurley.

Additional information

C. B. Hurley’s Research was supported in part by a Research Frontiers Grant from Science Foundation Ireland. R. W. Oldford’s Research was supported in part by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada.

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Hurley, C.B., Oldford, R.W. Eulerian tour algorithms for data visualization and the PairViz package. Comput Stat 26, 613–633 (2011). https://doi.org/10.1007/s00180-011-0229-5

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  • DOI: https://doi.org/10.1007/s00180-011-0229-5

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