2026-04-14T07:20:57Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3666822025-07-16T23:12:46Zcom_2072_1033col_2072_452949

Analysis of compositional data using robust methods. The R-package robCompositons Templ, M. Filzmoser, P. Hron, K. Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica Quantitative research. Data analytics Investigació quantitativa The free and open-source programming language and software environment R (R Development Core Team, 2010) is currently both, the most widely used and most popular software for statistics and data analysis. In addition, R becomes quite popular as a (programming) language, ranked currently (February 2011) on place 25 at the TIOBE Programming Community Index (e.g., Matlab: 29, SAS: 30, see http://www.tiobe.com). The basic R environment can be downloaded from the comprehensive R archive network (http://cran.rproject.org). R is enhanceable via packages which consist of code and structured standard documentation including code application examples and possible further documents (so called vignettes) showing further applications of the packages. Two contributed packages for compositional data analysis comes with R, version 2.12.1.: the package compositions (van den Boogaart et al., 2010) and the package robCompositions (Templ et al., 2011). Package compositions provides functions for the consistent analysis of compositional data and positive numbers in the way proposed originally by John Aitchison (see van den Boogaart et al., 2010). In addition to the basic functionality and estimation procedures in package compositions, package robCompositions provides tools for a (classical) and robust multivariate statistical analysis of compositional data together with corresponding graphical tools. In addition, several data sets are provided as well as useful utility functions. 2011 Conference report Templ, M.; Filzmoser, P.; Hron, K. Analysis of compositional data using robust methods. The R-package robCompositons. A: CODAWORK 2011. "Proceedings of CoDaWork'11: 4th international workshop on Compositional Data Analysis, Egozcue, J.J., Tolosana-Delgado, R. and Ortego, M.I. (eds.) 2011". Barcelona: CIMNE, 2011, ISBN 978-84-87867-76-7. 978-84-87867-76-7 https://hdl.handle.net/2117/366682 eng Open Access 5 p. application/pdf CIMNE