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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.-
Data for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.- Interactive Visualisation with JavaScript: Highcharts and Mapael.-
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