{ "dc.contributor": "Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada" , "dc.contributor.author": "Boogaart, K. Gerald van den" , "dc.contributor.author": "Tolosana Delgado, Raimon" , "dc.contributor.editor": "Mateu i Figueras, Glòria" , "dc.contributor.editor": "Barceló i Vidal, Carles" , "dc.date.accessioned": "2008-05-05T09:52:40Z" , "dc.date.available": "2008-05-05T09:52:40Z" , "dc.date.issued": "2005-10" , "dc.identifier.citation": "Boogaart, K.G.; Tolosana Delgado, R. 'A compositional data analysis package for R providing multiple approaches' a CODAWORK’05. Girona: La Universitat, 2005 [consulta: 5 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/670" , "dc.identifier.isbn": "84-8458-222-1" , "dc.identifier.uri": "http://hdl.handle.net/10256/670" , "dc.description.abstract": "”compositions” is a new R-package for the analysis of compositional and positive data. It contains four classes corresponding to the four different types of compositional and positive geometry (including the Aitchison geometry). It provides means for computation, plotting and high-level multivariate statistical analysis in all four geometries. These geometries are treated in an fully analogous way, based on the principle of working in coordinates, and the object-oriented programming paradigm of R. In this way, called functions automatically select the most appropriate type of analysis as a function of the geometry. The graphical capabilities include ternary diagrams and tetrahedrons, various compositional plots (boxplots, barplots, piecharts) and extensive graphical tools for principal components. Afterwards, ortion and proportion lines, straight lines and ellipses in all geometries can be added to plots. The package is accompanied by a hands-on-introduction, documentation for every function, demos of the graphical capabilities and plenty of usage examples. It allows direct and parallel computation in all four vector spaces and provides the beginner with a copy-and-paste style of data analysis, while letting advanced users keep the functionality and customizability they demand of R, as well as all necessary tools to add own analysis routines. A complete example is included in the appendix" , "dc.description.sponsorship": "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." , "dc.format.mimetype": "application/pdf" , "dc.language.iso": "eng" , "dc.publisher": "Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada" , "dc.rights": "Tots els drets reservats" , "dc.subject": "Estadística matemàtica -- Informàtica" , "dc.title": "A compositional data analysis package for R providing multiple approaches" , "dc.type": "info:eu-repo/semantics/conferenceObject" , "dc.rights.accessRights": "info:eu-repo/semantics/openAccess" }