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).
dimensio uses the following options()
to configure behavior:
dimensio.verbose
: a logical
scalar. Should R report extra
information on progress? Defaults to interactive()
.
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
Package: | dimensio |
Type: | Package |
Version: | 0.12.0 |
License: | GPL-3 |
Zenodo: | tools:::Rd_expr_doi("10.5281/zenodo.4478530") |
Useful links: