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Biplots in Practice


  • Greenacre Michael



Biplots in Practice is a comprehensive introduction to one of the most useful and versatile methods of multivariate data visualization: the biplot. The biplot extends the idea of a simple scatterplot of two variables to the case of many variables, with the objective of visualizing a maximum amount of information in the data as possible. Research data typically arise in the form of a rectangular table and the biplot takes its name from the fact that it visualizes the rows and the columns of this table in a common space. This book explains the specific application and interpretation of the biplot in many different areas of multivariate analysis, notably regression, generalized linear modelling, principal component analysis, log-ratio analysis, various forms of correspondence analysis and discriminant analysis. The book includes applications to real data in many different fields of the social and natural sciences. In addition, there are three detailed case studies documenting how the biplot reveals structure in large complex datasets in genomics (where thousands of variables are commonly encountered), in social survey research (where many categorical variables are studied simultaneously) and ecological research (where relationships between two sets of variables are investigated). - Didactic format, with over 90 tables and figures, and a summary of the contents of each chapter. - Computational appendix, detailing all the computations in the book in the R language, as well as additional computational topics such as permutation testing. - Bibliography and web resources, for further study. - Glossary of terms, giving definitions of terms and concepts used in the book. - Supporting website , providing all the data sets used in the book, R scripts for the computations, and additional material such as video presentations of some of the analyses. Provider_Name: Fundacion BBVA / BBVA Foundation

Suggested Citation

  • Greenacre Michael, 2010. "Biplots in Practice," Books, Fundacion BBVA / BBVA Foundation, number 2011113, December.
  • Handle: RePEc:fbb:booklb:2011113

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    Cited by:

    1. Michael Greenacre, 2012. "Fuzzy coding in constrained ordinations," Economics Working Papers 1325, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Carlo Ciccarelli & Tommaso Proietti, 2013. "Patterns of industrial specialisation in post-Unification Italy," Scandinavian Economic History Review, Taylor & Francis Journals, vol. 61(3), pages 259-286, November.
    3. Michael J. Greenacre & Patrick J. F. Groenen, 2016. "Weighted Euclidean Biplots," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 442-459, October.
    4. Michael Greenacre, 2014. "Size and shape in the measurement of multivariate proximity," Economics Working Papers 1444, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Michael Greenacre & H. Öztas Ayhan, 2014. "Identifying inliers," Economics Working Papers 1423, Department of Economics and Business, Universitat Pompeu Fabra.

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