An R and S-PLUS® Companion to Multivariate Analysis
Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package...
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| Auteur principal: | |
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| Autres auteurs: | , , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2005. |
| Collection: | Springer Texts in Statistics
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| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • An R and S-PLUS companion to multivariate analysis, Brian S. Everitt, 2005, New York, Springer-Verlag, 1 vol. (XIII-221 p.), Springer texts in statistics, 1-85233-882-2 • An R and S-Plus® Companion to Multivariate Analysis, Texte imprimé, 9781849969444 • An R and S-Plus® Companion to Multivariate Analysis, Texte imprimé, 9781848007949 • An R and S-PLUS companion to multivariate analysis, Brian S. Everitt, 2005, New York, Springer-Verlag, 1 vol. (XIII-221 p.), Springer texts in statistics, 1-85233-882-2 |
Table des matières:
- Multivariate Data and Multivariate Analysis Looking at Multivariate Data Principal Components Analysis Exploratory Factor Analysis Multidimensional Scaling and Correspondence Analysis Cluster Analysis Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis Multiple Regression and Canonical Correlation Analysis of Repeated Measures Data.
- Multivariate Data and Multivariate Analysis
- Looking at Multivariate Data
- Principal Components Analysis
- Exploratory Factor Analysis
- Multidimensional Scaling and Correspondence Analysis
- Cluster Analysis
- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis
- Multiple Regression and Canonical Correlation
- Analysis of Repeated Measures Data.