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"item_title" : "Applied Compositional Data Analysis",
"item_author" : [" Peter Filzmoser", "Karel Hron", "Matthias Templ "],
"item_description" : "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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Applied Compositional Data Analysis : With Worked Examples in R
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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