Exploratory Multivariate Analysis by Example Using R. Francois Husson, Jerome Pages, Sebastien Le

Exploratory Multivariate Analysis by Example Using R


Exploratory.Multivariate.Analysis.by.Example.Using.R.pdf
ISBN: 1439835802,9781439835807 | 240 pages | 6 Mb


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




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. Their implications are explored in an illustrative spirit, examples being taken from conventional and non-parametric multivariate analysis and from exploratory. 2012, Beh Eric John, 'Exploratory multivariate analysis by example using R [Book review]', Journal of Applied Statistics, 39 1381-1382 (2012) [C3]. R, a statistical software package, provides the user with a wide array of data types. The methods are illustrated at a small data example using the R package. Language: English Page Count: 240. - Exploratory Multivariate Analysis by Example - Using R - 2011. Exploratory multivariate analysis by example using R / Franois Husson Sébastien Lê Jérme Pagès. Using R for Data Management, Statistical Analysis, and Graphics - 2011.pdf. Exploratory analysis and dimensionality reduction: principal component analysis, principal component and crimcoord displays, implementation in R. Download Exploratory Multivariate Analysis by Example Using R. Exploratory Multivariate Analysis by Example Using R.pdf目录1 Principal Component Analysis (PCA) 11.1 Data | Notation | Examples . Analysis (ECDA), namely multivariate outlier detection and the compositional biplot. [R语言资料小全].Exploratory.Multivariate.Analysis.by.Example.Using.R.pdf,R语言 相关资料. The book may be used as a text in a class on statistical graphics or exploratory data analysis, for example, or as a guide for the independent learner. Each chapter ends with a set of exercises. The analysis of multivariate data requires the extension of standard univariate statistical and classification (use in medical diagnosis problems for example) are studied. Author: Francois Husson, Jerome Pages, Sebastien Le Type: eBook. The authors are both Fellows of the American Statistical Association Keywords » data analysis software - data visualization - direct manipulation - multivariate data - visual data mining.