Statistical Data Analysis Explained: Applied Environmental Statistics with R
PDF
 eBook:Statistical Data Analysis Explained: Applied Environmental Statistics with R
 Author:Clemens Reimann, Peter Filzmoser, Robert Garrett, Rudolf Dutter
 Edition:
 Categories:
 Data:June 9, 2008
 ISBN:047098581X
 ISBN13:9780470985816
 Language:English
 Pages:362 pages
 Format:PDF
The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the Slanguage for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the Rscripts are provided in the form of executable Rscripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis.
Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Content
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 KnowledgeBased Classification Methods
18. Quality Control (QC)
19. Introduction to R and Structure of the DAS+R Graphical User Interface
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