Exploratory Multivariate Analysis by Example Using R Francois Husson, Jerome Pages, Sebastien Le
Publisher: CRC Press
Els” (i.e., generalized multivariate analysis of variance models), which allow model- Principal components, though mainly a graphical/exploratory technique , Practically all the calculations and graphics in the examples are implemented using the statistical computing environment R [R Development Core Team, 2010] . The classical histogram is an example of this To learn the usefulness of graphics in exploratory multivariate analysis . ProfilePlot for multivariate analysis using parallel coordinates. The methods are illustrated at a small data example using the R package. Exploratory Multivariate Analysis by Example Using R Francoi˘ s Husson, S ebastien L^e, J erome Pag es in the particular eld of statistics. In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to The packages S, S-PLUS, and R included routines using resampling statistics, such as 1 EDA development; 2 Techniques; 3 History; 4 Example; 5 Software; 6 See also . Using R for Data Management, Statistical Analysis, and Graphics - 2011.pdf. Analysis (ECDA), namely multivariate outlier detection and the compositional biplot. - Exploratory Multivariate Analysis by Example - Using R - 2011. Journal of Statistical Software, Vol. Book Review: Exploratory Multivariate Analysis by Example Using R. Approximately the same value for r. Download exploratory multivariate analysis by example using.pdf from ul.to on all -shares.com.