 Statistical Data Analysis Explained: Applied Environmental Statistics with R
ISBN: 978-0-470-98581-6
Hardcover
362 pages
June 2008
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Acknowledgements.
About the Authors.
1. Introduction.
2. Preparing the Data for Use in R and DAS+R.
3. Graphics to Display the Data Distribution.
4. Statistical Distribution Measures.
5. Mapping Spatial Data.
6. Further Graphics for Exploratory Data Analysis.
7. Defining Background and threshold, Identification of Data Outliers and Element Sources.
8. Comparing Data in Tables and Graphics.
9. Comparing Data Using Statistical tests.
10. Improving Data Behaviour for Statistical Analysis; Ranking and Transformations.
11. Correlation.
12. Multivariate Graphics.
13. Multivariate Outlier Detection.
14. Principal Component Analysis (PCA) and Factor Analysis (FA).
15. Cluster Analysis.
16. Regression Analysis (RA).
17. Discriminant Analysis (DA) and Other Knowledge-Based Classification Methods.
18. Quality Control (QC).
19. Introduction to R and Structure of the DAS+R Graphical User Interface.
References.
Index.
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