Applied Compositional Data Analysis

Preface.- Acknowledgements.- Compositional data as a methodological concept.- Analyzing compositional data using R.- Geometrical properties of compositional data.- Exploratory data analysis and visualization.- First steps for a statistical analysis.- Cluster analysis.- Principal component analysis.- Correlation analysis.- Discriminant analysis.- Regression analysis.- Methods for high-dimensional compositional data.- Compositional tables.- Preprocessing issues.- Index.-

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• Pesquisa e estatística social
• Epidemiologia e estatística médica
• Probabilidade e Estatística
• Software matemático e estatístico
• Geoquímica

Compositional data;Applications of compositional data analysis;Multivariate statistical methods;Robust statistics;Statistical environment R;Statistical methodology for compositional data;R package robCompositions;Analyzing compositional data using R;Methods for high-dimensional compositional data;Compositional tables;CoDa