Applied Compositional Data Analysis With Worked Examples in R
This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2018, 2018
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| Edition: | 1st ed. 2018 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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.-