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.


Keywords:
Issue Date:
2005
Publication Type:
Journal Article
DOI and Other Identifiers:
gr0011 (Other)
PURL Identifier:
http://purl.umn.edu/117513
Published in:
Stata Journal, Volume 05, Number 2
Page range:
208-223
Total Pages:
16

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 Record created 2017-04-01, last modified 2017-04-27

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