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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| Format: | eBook |
| Language: | English |
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London
Springer London
2005, 2005
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| Edition: | 1st ed. 2005 |
| Series: | Springer Texts in Statistics
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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