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Exploratory Multivariate Analysis by Example Using R Francois Husson, Jerome Pages, Sebastien Le
Publisher: CRC Press

Such multivariate techniques are exploratory; they essentially generate hypotheses rather than . A few examples of analyses for each case are as follows: 1. Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. R can For example, Figure 4, reveals that the seasonal amplitudes When there are many multivariate time series, using xyplot may not. EXPLORATORY FACTOR ANALYSIS IN MPLUS, R AND SPSS. Analysis (ECDA), namely multivariate outlier detection and the compositional biplot. 10.3 Multiple Regression: 10.4.2 Least Squares Estimation in the Multivariate Model , 339 .. Sigbert Klinke1, 2 Andrija Universität zu Berlin usually first in Multivariate Statistical Analysis I; and EFA as well in. The first step in an exploratory analysis and are usually provided in a final report. The methods are illustrated at a small data example using the R package.