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Applied Compositional Data Analysis|Peter Filzmoser

Applied Compositional Data Analysis : With Worked Examples in R

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Overview

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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Details

  • ISBN-13: 9783319964201
  • ISBN-10: 3319964208
  • Publisher: Springer
  • Publish Date: November 2018
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.31 pounds
  • Page Count: 280

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