论文信息 - Data Inspection using Biplots

Data Inspection using Biplots

Biplots display interunit distances, as well as variances and correlations of variables of large datasets. They can be used as a tool to reveal clustering, multicollinearity, and multivariate outliers, and to guide the interpretation of principal component analyses (PCA). This article describes the uses of biplots and its implementation in Stata.

Ulrich Kohler | Magdalena Luniak | U. Kohler | Magdalena Luniak

[1] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[2] K. Gabriel,et al. The biplot graphic display of matrices with application to principal component analysis , 1971 .

[3] Ramanathan Gnanadesikan,et al. Methods for statistical data analysis of multivariate observations , 1977, A Wiley publication in applied statistics.

[4] John Aitchison,et al. The Statistical Analysis of Compositional Data , 1986 .

[5] P. G. N. Digby,et al. Multivariate Analysis of Ecological Communities , 1987 .

[6] John Aitchison,et al. Relative variation diagrams for describing patterns of compositional variability , 1990 .

[7] J. E. Jackson. A User's Guide to Principal Components , 1991 .

[8] L. Hamilton. 217-249 inRegression with Graphics: A Second Course in Applied Statistics , 1991 .

[9] Rainer Schnell,et al. Graphisch gestützte Datenanalyse , 1994 .

[10] Rainer Schnell,et al. Multivariate Graphics: Current Use and Implementations in the Social Sciences , 1994 .

[11] Michael Greenacre,et al. Visualization of Categorical Data , 1998 .

[12] K. Ruben Gabriel,et al. Goodness of fit of biplots and correspondence analysis , 2002 .

[13] J. Edward Jackson,et al. A User's Guide to Principal Components: Jackson/User's Guide to Principal Components , 2004 .