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License: GPL
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Hyper Article en Ligne - Sciences de l'Homme et de la Société
Software . 2025
Data sources: Hyper Article en Ligne - Sciences de l'Homme et de la Société
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Claim

dimensio: Multivariate Data Analysis

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Jan 2021Publisher:Zenodo
Authors: Frerebeau, Nicolas;

doi: 10.5281/zenodo.15126551 , 10.5281/zenodo.15470800 , 10.5281/zenodo.14927451 , 10.5281/zenodo.11518715 , 10.5281/zenodo.8277200 , 10.5281/zenodo.14054667 , 10.5281/zenodo.14356468 , 10.5281/zenodo.4478531 , 10.5281/zenodo.13375140 , 10.5281/zenodo.14623616 , 10.5281/zenodo.6993004 , 10.5281/zenodo.10948604 , 10.5281/zenodo.10696035 , 10.5281/zenodo.10207582 , 10.5281/zenodo.4709122 , 10.5281/zenodo.4769401 , 10.5281/zenodo.4478530 , 10.5281/zenodo.5515458 , 10.5281/zenodo.17048283 , 10.5281/zenodo.13135650 , 10.5281/zenodo.10022325 , 10.5281/zenodo.7798592

dimensio: Multivariate Data Analysis

Abstract

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).

Related Organizations
Keywords

Pharmacology, Immunology, Information Systems not elsewhere classified, R package, data analysis, Principal component analysis, Cell Biology, Hematology, Mathematical Sciences not elsewhere classified, Inorganic Chemistry, multivariate analysis, Multivariate analysis, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, r package, Biotechnology, Biological Sciences not elsewhere classified, Correspondance analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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3
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47
37