Correspondence analysis of raw data

Ecology

Volumn 91, Issue 4, 2010, Pages 958-963

  Greenacre, Michael ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

Abundance data; Biplot; Bray curtis dissimilarity; Profile; Size and shape; Visualization

Indexed keywords

ARCHAEOLOGY; CORRESPONDENCE ANALYSIS; DATA SET; VISUALIZATION;

ANIMAL; ARTICLE; ATLANTIC OCEAN; BIOLOGICAL MODEL; ECOLOGY; ECOSYSTEM; METHODOLOGY; POPULATION DYNAMICS; STATISTICAL ANALYSIS;

ANIMALS; DATA INTERPRETATION, STATISTICAL; ECOLOGY; ECOSYSTEM; MODELS, BIOLOGICAL; NORTH SEA; POPULATION DYNAMICS;

EID: 77951192931     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/09-0239.1     Document Type: Article

References (7)

1. Dray, S., D. Chessel, and J. Thioulouse. 2003. Co-inertia analysis and the linking of ecological data tables. Ecology 84: 3078-3089.
2. Gauch, H. 1982. Multivariate analysis in community ecology. Cambridge University Press, Cambridge, UK.
3. Greenacre, M. J. 1993. Biplots in correspondence analysis. Journal of Applied Statistics 20: 251-269.
4. Greenacre, M. J. 2007. Correspondence analysis in practice. Second edition. Chapman and Hall/CRC Press, London, UK.
5. Nenadić, O., and M. J. Greenacre. 2007. Correspondence analysis in R, with two- and three-dimensional graphics: the ca package. Journal of Statistical Software 20(3).
6. Oksanen, J., R. Kindt, P. Legendre, and R. B. O'Hara. 2006. vegan: community ecology package version 1.8-3. (http://cran.r-project.org/)
7. R Development Core Team. 2009. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. (http://www.R-project.org)