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

Alternatively, one may use the install.packages command, as in this example: When using R interactively, it is very helpful to know that the up-arrow key can . For example, in the case of a normed PCA, the“s.corcircle”button allows . University of California, Los Angeles. 1994, Exploratory Multivariate Analysis in Archaeology, Edinburgh, Edinburgh. Their implications are explored in an illustrative spirit, examples being taken from conventional and non-parametric multivariate analysis and from exploratory. Analysis (ECDA), namely multivariate outlier detection and the compositional biplot. Exploratory Multivariate Analysis by Example Using R. For example when installing the library packages discussed below. The following example illustrates this with a plot of several This makes it ideal for use in exploratory data analysis; you can find out more by reading the excellent book Lattice - Multivariate Data Visualization with R by Deepayan Sarkar. Ade4 is a multivariate data analysis package for the R statistical environment, and . Is to try to indicate how CA can be implemented in a software package, R, by . Demo("graphics") # Demonstration of graphics in R ?plot # Help . Dynamic Linear Models with R Giovanni Petris . Exploratory Multivariate Analysis by Example Using R Fran?ois Husson.pdf. The methods are illustrated at a small data example using the R package.