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BiplotGUI: Interactive Biplots in R

  • Anthony la Grange
  • Niël le Roux
  • Sugnet Gardner-Lubbe
Registered author(s):

    Biplots simultaneously provide information on both the samples and the variables of a data matrix in two- or three-dimensional representations. The BiplotGUI package provides a graphical user interface for the construction of, interaction with, and manipulation of biplots in R. The samples are represented as points, with coordinates determined either by the choice of biplot, principal coordinate analysis or multidimensional scaling. Various transformations and dissimilarity metrics are available. Information on the original variables is incorporated by linear or non-linear calibrated axes. Goodness-of-fit measures are provided. Additional descriptors can be superimposed, including convex hulls, alpha-bags, point densities and classification regions. Amongst the interactive features are dynamic variable value prediction, zooming and point and axis drag-and-drop. Output can easily be exported to the R workspace for further manipulation. Three-dimensional biplots are incorporated via the rgl package. The user requires almost no knowledge of R syntax.

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    Article provided by American Statistical Association in its journal Journal of Statistical Software.

    Volume (Year): 30 ()
    Issue (Month): i12 ()
    Pages:

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    Handle: RePEc:jss:jstsof:30:i12
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    1. Blasius, Jörg & Eilers, Paul H.C. & Gower, John, 2009. "Better biplots," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3145-3158, June.
    2. Gower, John C. & Ngouenet, Roger F., 2005. "Nonlinearity effects in multidimensional scaling," Journal of Multivariate Analysis, Elsevier, vol. 94(2), pages 344-365, June.
    3. W. J. Krzanowski, 2004. "Biplots for Multifactorial Analysis of Distance," Biometrics, The International Biometric Society, vol. 60(2), pages 517-524, 06.
    4. Leslie Underhill, 1990. "The coefficient of variation biplot," Journal of Classification, Springer, vol. 7(2), pages 241-256, September.
    5. J. Gower & P. Legendre, 1986. "Metric and Euclidean properties of dissimilarity coefficients," Journal of Classification, Springer, vol. 3(1), pages 5-48, March.
    6. Sugnet Gardner-Lubbe & Ni�l Le Roux & John Gowers, 2008. "Measures of fit in principal component and canonical variate analyses," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(9), pages 947-965.
    7. Jean Thioulouse & Stéphane Dray, . "Interactive Multivariate Data Analysis in R with the ade4 and ade4TkGUI Packages," Journal of Statistical Software, American Statistical Association, vol. 22(i05).
    8. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. I," Psychometrika, Springer, vol. 27(2), pages 125-140, June.
    9. Frederic Udina, . "Interactive Biplot Construction," Journal of Statistical Software, American Statistical Association, vol. 13(i05).
    10. J. C. Gower & J. J. Meulman & G. M. Arnold, 1999. "Nonmetric Linear Biplots," Journal of Classification, Springer, vol. 16(2), pages 181-196, July.
    11. Stéphane Dray & Anne-Béatrice Dufour, . "The ade4 Package: Implementing the Duality Diagram for Ecologists," Journal of Statistical Software, American Statistical Association, vol. 22(i04).
    12. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. II," Psychometrika, Springer, vol. 27(3), pages 219-246, September.
    13. W. J. Krzanowski, 2006. "Sensitivity in Metric Scaling and Analysis of Distance," Biometrics, The International Biometric Society, vol. 62(1), pages 239-244, 03.
    14. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer, vol. 29(2), pages 115-129, June.
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