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Biplots for Variants of Correspondence Analysis

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Modern Quantification Theory

Part of the book series: Behaviormetrics: Quantitative Approaches to Human Behavior ((BQAHB,volume 8))

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Abstract

In the previous chapter, we gave an overview and application of biplots for numerical data. We described the three types of biplots that one may construct—the row isometric, column isometric, and symmetric biplots—and we demonstrated the utility of the first type by analyzing data from 15 countries around the world and their financial and fiscal response to the COVID-19 global pandemic.

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Author information

Authors and Affiliations

  1. Univesity of Toronto, Toronto, ON, Canada

    Shizuhiko Nishisato

  2. School of Mathematical and Physical Science, University of Newcastle, Newcastle, NSW, Australia

    Eric J. Beh

  3. Department of Economics, University of Campania Luigi Vanvitelli, Capua, Caserta, Italy

    Rosaria Lombardo

  4. Departament of Quantitative Methods, Universidad de Murcia, Murcia, Spain

    Jose G. Clavel

Authors
  1. Shizuhiko Nishisato
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  2. Eric J. Beh
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  3. Rosaria Lombardo
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  4. Jose G. Clavel
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Correspondence to Shizuhiko Nishisato .

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Nishisato, S., Beh, E.J., Lombardo, R., Clavel, J.G. (2021). Biplots for Variants of Correspondence Analysis. In: Modern Quantification Theory. Behaviormetrics: Quantitative Approaches to Human Behavior, vol 8. Springer, Singapore. https://doi.org/10.1007/978-981-16-2470-4_10

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