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Activity Number: 587 - Recent Advances in Statistical Graphics
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract #323878 View Presentation
Title: A Useful Scatterplot Matrix for Principal Component Analysis
Author(s): Santiago Velilla*
Companies: Universidad Carlos III
Keywords: dimension reduction ; graphical representations ; spherical coordinates

The scatter-plot matrix is a useful instrument for assessing visually the strength of the linear association that may exist between the columns of a given data matrix. It seems, however, that its use for representing graphically the process of data reduction performed by Principal Component Analysis (PCA) has not been yet fully explored in the literature. This communication presents a possible method for constructing a scatter-plot matrix that can be a complement the usual graphical methods in PCA, as for instance the scree plot, or the standard 2D component plots. The analytical tools required are some functions included in the package gclus of R.

Authors who are presenting talks have a * after their name.

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