dimensio-package: dimensio: Multivariate Data Analysis
Description
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).
Arguments
Package options
dimensio uses the following options() to configure behavior:
dimensio.verbose: alogicalscalar. Should R report extra information on progress? Defaults tointeractive().
Author
Maintainer: Nicolas Frerebeau nicolas.frerebeau@u-bordeaux-montaigne.fr (ORCID)
Other contributors:
Jean-Baptiste Fourvel jean-baptiste.fourvel@univ-amu.fr (ORCID) [contributor]
Camille Thabard camille.thabard@univ-tlse2.fr (ORCID) [contributor]
Brice Lebrun (ORCID) (Logo designer) [artist]
Université Bordeaux Montaigne (03pbgwk21) [funder]
CNRS (02feahw73) [funder]
Details
| Version | 0.14.1 |
| License | GPL-3 |
| CRAN DOI | tools:::Rd_expr_doi("10.32614/CRAN.package.dimensio") |
| Zenodo DOI | tools:::Rd_expr_doi("10.5281/zenodo.4478530") |
Archéosciences Bordeaux (UMR 6034)
Maison de l'Archéologie
Université Bordeaux Montaigne
F-33607 Pessac cedex
France