tesselle/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).
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr> |
| License | GPL (>= 3) |
| Version | 0.11.0 |
| URL | https://packages.tesselle.org/dimensio/ https://github.com/tesselle/dimensio |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
