Data inspection using biplots

Ulrich Kohler () and Magdalena Luniak ()
Additional contact information
Magdalena Luniak: Wissenschaftszentrum Berlin

Stata Journal, 2005, vol. 5, issue 2, pages 208-233

Abstract: 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. Copyright 2005 by StataCorp LP.

Keywords: biplot; biplot8; principal component analysis; exploratory data analysis; multivariate statistics; euclidean distance; mahalanobis distance; relative variation diagram; projection (search for similar items in EconPapers)
Date: 2005
View citations in EconPapers

Downloads: (external link)
http://www.stata-journal.com/article.html?article=gr0011
http://www.stata-journal.com/software/sj5-2/gr0011/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:2:p:208-233

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is edited by H. Joseph Newton and Nicholas J. Cox

More articles in Stata Journal from StataCorp LP
Series data maintained by Christopher F. Baum ().