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CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations

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  • Urbano Lorenzo-Seva
  • Michel van de Velden
  • Henk A. L. Kiers
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    Abstract

    Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. Like principal component analysis, CA solutions can be rotated both orthogonally and obliquely to simple structure without affecting the total amount of explained inertia. We describe a MATLAB package for computing CA. The package includes orthogonal and oblique rotation of axes. It is designed not only for advanced users of MATLAB but also for beginners. Analysis can be done using a user-friendly interface, or by using command lines. We illustrate the use of CAR with one example.

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

    Volume (Year): 31 ()
    Issue (Month): i08 ()
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    Handle: RePEc:jss:jstsof:31:i08

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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer, vol. 23(3), pages 187-200, September.
    2. Jan de Leeuw & Patrick Mair, . "Simple and Canonical Correspondence Analysis Using the R Package anacor," Journal of Statistical Software, American Statistical Association, vol. 31(i05).
    3. Urbano Lorenzo-Seva, 2000. "The weighted oblimin rotation," Psychometrika, Springer, vol. 65(3), pages 301-318, September.
    4. P. Bentler, 1977. "Factor simplicity index and transformations," Psychometrika, Springer, vol. 42(2), pages 277-295, June.
    5. Michael Greenacre, 2006. "Tying up the loose ends in simple correspondence analysis," Economics Working Papers 940, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Douglas Clarkson & Robert Jennrich, 1988. "Quartic rotation criteria and algorithms," Psychometrika, Springer, vol. 53(2), pages 251-259, June.
    7. R. Jennrich & P. Sampson, 1966. "Rotation for simple loadings," Psychometrika, Springer, vol. 31(3), pages 313-323, September.
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