dimensio: Multivariate Data Analysis

Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).

Details

Package:	dimensio
Type:	Package
Version:	0.12.0
License:	GPL-3
Zenodo:	doi:10.5281/zenodo.4478530

Package options

dimensio uses the following options() to configure behavior:

• dimensio.verbose: a logical scalar. Should R report extra information on progress? Defaults to interactive().

See also

Useful links:

• https://codeberg.org/tesselle/dimensio

• https://packages.tesselle.org/dimensio/

• Report bugs at https://codeberg.org/tesselle/dimensio/issues

Author

Full list of authors and contributors (alphabetic order)

Jean-Baptiste Fourvel	CNRS, France
Nicolas Frerebeau	Université Bordeaux Montaigne, France
Brice Lebrun	Université Bordeaux Montaigne, France

Package maintainer

Nicolas Frerebeau
nicolas.frerebeau@u-bordeaux-montaigne.fr

Archéosciences Bordeaux (UMR 6034)
Maison de l'Archéologie
Université Bordeaux Montaigne
F-33607 Pessac cedex
France