FactoMineR: An R Package for Multivariate Analysis
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2008-01-01
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| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | http://www.jstatsoft.org/v25/i01/paper |
| _version_ | 1818058847919538176 |
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| author | Sébastien Lê Julie Josse François Husson |
| author_facet | Sébastien Lê Julie Josse François Husson |
| author_sort | Sébastien Lê |
| collection | DOAJ |
| description | In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a hierarchy on the variables, a partition on the individuals) and finally supplementary information (supplementary individuals and variables). Moreover, the dimensions issued from the different exploratory data analyses can be automatically described by quantitative and/or categorical variables. Numerous graphics are also available with various options. Finally, a graphical user interface is implemented within the Rcmdr environment in order to propose an user friendly package. |
| first_indexed | 2024-12-10T13:07:08Z |
| format | Article |
| id | doaj.art-5af5316926b244a8b337ca77448d80ac |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-12-10T13:07:08Z |
| publishDate | 2008-01-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-5af5316926b244a8b337ca77448d80ac2022-12-22T01:47:50ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602008-01-01251FactoMineR: An R Package for Multivariate AnalysisSébastien LêJulie JosseFrançois HussonIn this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a hierarchy on the variables, a partition on the individuals) and finally supplementary information (supplementary individuals and variables). Moreover, the dimensions issued from the different exploratory data analyses can be automatically described by quantitative and/or categorical variables. Numerous graphics are also available with various options. Finally, a graphical user interface is implemented within the Rcmdr environment in order to propose an user friendly package.http://www.jstatsoft.org/v25/i01/papermultivariate data analysisgroups of variableshierarchy on variablesgroups of individualssupplementary individualssupplementary variablesgraphical user interface |
| spellingShingle | Sébastien Lê Julie Josse François Husson FactoMineR: An R Package for Multivariate Analysis Journal of Statistical Software multivariate data analysis groups of variables hierarchy on variables groups of individuals supplementary individuals supplementary variables graphical user interface |
| title | FactoMineR: An R Package for Multivariate Analysis |
| title_full | FactoMineR: An R Package for Multivariate Analysis |
| title_fullStr | FactoMineR: An R Package for Multivariate Analysis |
| title_full_unstemmed | FactoMineR: An R Package for Multivariate Analysis |
| title_short | FactoMineR: An R Package for Multivariate Analysis |
| title_sort | factominer an r package for multivariate analysis |
| topic | multivariate data analysis groups of variables hierarchy on variables groups of individuals supplementary individuals supplementary variables graphical user interface |
| url | http://www.jstatsoft.org/v25/i01/paper |
| work_keys_str_mv | AT sebastienle factomineranrpackageformultivariateanalysis AT juliejosse factomineranrpackageformultivariateanalysis AT francoishusson factomineranrpackageformultivariateanalysis |