dc.contributor |
Mateu i Figueras, Glòria |
dc.contributor |
Barceló i Vidal, Carles |
dc.contributor |
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada |
dc.contributor.author |
Bren, Matevž |
dc.contributor.author |
Batagelj, Vladimir |
dc.date |
2005-10 |
dc.date.accessioned |
2009-04-01T08:27:10Z |
dc.date.available |
2009-04-01T08:27:10Z |
dc.date.issued |
2009-04-01T08:27:10Z |
dc.identifier.citation |
Bren, M.; Batagelj, V. 'Compositional Data Analysis with R' a CODAWORK’05. Girona: La Universitat, 2005 [consulta: 6 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/681 |
dc.identifier.citation |
84-8458-222-1 |
dc.identifier.uri |
http://hdl.handle.net/10256/681 |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada |
dc.rights |
Consulteu les condicions d'ús d'aquest document en el repositori original:http://hdl.handle.net/10256/681 |
dc.subject |
Estadística matemàtica -- Informàtica |
dc.title |
Compositional Data Analysis with R |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.description.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 |
dc.description.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. |