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Título:	Compositional Data Analysis with R
Autor/a:	Bren, Matevž; Batagelj, Vladimir
Otros autores:	Mateu i Figueras, Glòria; Barceló i Vidal, Carles; Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Abstract:	R from http://www.r-project.org/ is ‘GNU S’ – a language and environment for statistical computingand graphics. The environment in which many classical and modern statistical techniques havebeen implemented, but many are supplied as packages. There are 8 standard packages and many moreare available through the cran family of Internet sites http://cran.r-project.org .We started to develop a library of functions in R to support the analysis of mixtures and our goal isa MixeR package for compositional data analysis that provides support foroperations on compositions: perturbation and power multiplication, subcomposition with or withoutresiduals, centering of the data, computing Aitchison’s, Euclidean, Bhattacharyya distances,compositional Kullback-Leibler divergence etc.graphical presentation of compositions in ternary diagrams and tetrahedrons with additional features:barycenter, geometric mean of the data set, the percentiles lines, marking and coloring ofsubsets of the data set, theirs geometric means, notation of individual data in the set . . .dealing with zeros and missing values in compositional data sets with R procedures for simpleand multiplicative replacement strategy,the time series analysis of compositional data.We’ll present the current status of MixeR development and illustrate its use on selected data sets
Abstract:	Geologische Vereinigung; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur; Càtedra Lluís Santaló d’Aplicacions de la Matemàtica; Consell Social de la Universitat de Girona; Ministerio de Ciencia i Tecnología.
Fecha de creación:	01-04-2009
Materia(s):	-Estadística matemàtica -- Informàtica
Derechos:	Consulteu les condicions d'ús d'aquest document en el repositori original:http://hdl.handle.net/10256/681
Tipo de documento:	Objeto de conferencia
Editor:	Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
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