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Multiple factor analysis by example using R
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoreti...
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Lenguaje: | eng |
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Taylor and Francis
2014
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Acceso en línea: | http://cds.cern.ch/record/1974846 |
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author | Pagès, Jérôme |
author_facet | Pagès, Jérôme |
author_sort | Pagès, Jérôme |
collection | CERN |
description | Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The |
id | cern-1974846 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Taylor and Francis |
record_format | invenio |
spelling | cern-19748462021-04-21T20:41:12Zhttp://cds.cern.ch/record/1974846engPagès, JérômeMultiple factor analysis by example using RMathematical Physics and MathematicsMultiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). TheTaylor and Francisoai:cds.cern.ch:19748462014 |
spellingShingle | Mathematical Physics and Mathematics Pagès, Jérôme Multiple factor analysis by example using R |
title | Multiple factor analysis by example using R |
title_full | Multiple factor analysis by example using R |
title_fullStr | Multiple factor analysis by example using R |
title_full_unstemmed | Multiple factor analysis by example using R |
title_short | Multiple factor analysis by example using R |
title_sort | multiple factor analysis by example using r |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1974846 |
work_keys_str_mv | AT pagesjerome multiplefactoranalysisbyexampleusingr |