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Correspondence Analysis

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Multivariate Statistics

Abstract

Contingency tables contain information about the joint distribution of statistical variables. For a large number of classes (for each variable) the resulting n × p frequency matrix can be hard to interpret. Correspondence analysis is a tool for developing simple indices that show us relations between row and column categories.

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References

  • Härdle, W., & Simar, L. (2015). Applied multivariate statistical analysis (4th ed.). Berlin: Springer.

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  • Nenadic, O., & Greenacre, M. (2007). Correspondence analysis in R, with two- and three-dimensional graphics: The ca package. Journal of Statistical Software, 20(3), 1–13.

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  • R Core Team (2013). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. www.R-project.org.

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  • Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed.). New York: Springer.

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Härdle, W.K., Hlávka, Z. (2015). Correspondence Analysis. In: Multivariate Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36005-3_15

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