Data Inspection using Biplots
The Stata Journal Promoting communications on statistics and StataPublished 1 June 2005Open access
Ulrich Köhler, Magdalena Luniak
Citations108
SJR quartileQ1
SJR score1.65
SNIP1.90
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TL;DR
The uses of biplots and its implementation in Stata are described to reveal clustering, multicollinearity, and multivariate outliers, and to guide the interpretation of principal component analyses (PCA).
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.
Keywords
ChemistryMathematicsAgricultural and Biological Sciences
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