Data inspection using biplots

Stata Journal

Volumn 5, Issue 2, 2005, Pages 208-223

  Kohler, Ulrich ^a   Luniak, Magdalena ^a,b  

^a WZB BERLIN SOCIAL SCIENCE CENTER   (Germany)

^b UNIVERSITY OF WARSAW   (Poland)

Author keywords

Biplot; Biplot8; Euclidean distance; Exploratory data analysis; gr0011; Mahalanobis distance; Multivariate statistics; Principal component analysis; Projection; Relative variation diagram

Indexed keywords

EID: 33646519249     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0500500206     Document Type: Article

References (18)

1. Aitchison, J. 1986. The Statistical Analysis of Compositional Data. London: Chapman & Hall.
2. _. 1990. Relative variation diagrams for describing patterns of compositional variablity. Mathematical Geology 22: 487-512.
3. Anderson, E. 1935. The irises of the Gaspé peninsula. Bulletin of the American Iris Society 59: 2-5.
4. Blasius, J. and M. Greenacre, ed. 1998. Visualization of Categorical Data. San Diego: Academic Press.
5. Digby, P. G. N. and R. A. Kempton. 1987. Multivariate Analysis of Ecological Communities. London: Chapman and Hall.
6. Fenty, J. 2004. Analyzing distances. Stata Journal 4(1): 1-26.
7. Fisher, R. A. 1936. The use of multiple measurements in taxonomic problems. Annals of Eugenics 7: 179-188.
8. Gabriel, K. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika 58(3): 453-467.
9. _. 2002. Goodness of fit of biplots and correspondence analysis. Biometrica 89(2): 423-436.
10. Gnanadesikan, R. 1977. Methods for Statistical Data Analysis of Multivariate Observations. New York: Wiley.
11. Gower, J. C. and D. J. Hand. 1996. Biplots. London: Chapman & Hall.
12. Hamilton, L. C. 1992. Regression with Graphics: A Second Course in Applied Statistics. Pacific Grove, CA: Brooks/Cole.
13. Jackson, J. E. 1991. A User's Guide to Principal Components. New York: Wiley.
14. Jolliffe, I. 2002. Principal Component Analysis. 2nd ed. New York: Springer.
15. Kruskal, J. B. and M. Wish. 1978. Multidimensional Scaling. Beverly Hills, CA: Sage.
16. Schnell, R. 1994. Graphisch gestützte Datenanalyse. München, Wien: Oldenbourg.
17. Schnell, R. and H. Matschinger. 1994. Multivariate graphies: Current use and implementations in the social sciences. In Computational Statistics. Papers Collected on the Occasion of the 25th Conference on Statistical Computing at Schloß Reisensburg, ed. P. Dirschedl and R. Ostermann, 275-294. Heidelberg: Physica.
18. Tabachnik, B. and L. S. Fidell. 1989. Using Multivariate Statistics. 2nd ed. New York: Harper and Row.