Biplots: The joy of singular value decomposition

Wiley Interdisciplinary Reviews: Computational Statistics

Volumn 4, Issue 4, 2012, Pages 399-406

  Greenacre, Michael J ^a  

^a DEPARTMENT OF ECONOMICS AND BUSINESS   (Spain)

Author keywords

Correspondence analysis; Discriminant analysis; Multivariate analysis; Principal component analysis; Singular value decomposition; Visualization

Indexed keywords

BIPLOTS; BIVARIATE; CORRESPONDENCE ANALYSIS; DATA REPRESENTATIONS; DIMENSION REDUCTION METHOD; DYNAMIC ROTATION; LEAST-SQUARES FITTINGS; MULTI VARIATE ANALYSIS; MULTIPLE CORRESPONDENCE ANALYSIS; MULTIVARIATE DATA; REGRESSION PROBLEM; SCATTER PLOTS;

DISCRIMINANT ANALYSIS; FLOW VISUALIZATION; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; VISUALIZATION;

SINGULAR VALUE DECOMPOSITION;

EID: 84862679974     PISSN: 19395108     EISSN: 19390068     Source Type: Journal    
DOI: 10.1002/wics.1200     Document Type: Article

References (31)

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25. Software for computing biplots in R is described in:
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27. La Grange A, le Roux N, Gardner-Lubbe S BiplotGUI: Interactive biplots in R J Stat Softw 2008 Available at (Accessed March 8, 2012)
28. Nenadić O, Greenacre M Correspondence analysis in R, with two- and three-dimensional graphics J Stat Softw 2007 Available at (Accessed March 8, 2012)
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30. Finally, for an educational and entertaining introduction to the singular value decomposition (SVD) in song, watch and listen to "It had to be U", written by Michael Greenacre, and sung by Gurdeep Stephens, at StatisticalSongs The reference and direct web link is:
31. Greenacre M, Stephens G It had to be U: the SVD song Youtube 2011 Available at (Accessed March 8, 2012)