EconPapers    
Economics at your fingertips  
 

Data inspection using biplots

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

Stata Journal, 2005, vol. 5, issue 2, 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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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: https://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 currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().

 
Page updated 2025-04-06
Handle: RePEc:tsj:stataj:v:5:y:2005:i:2:p:208-233