Statistical Data Analysis Explained: Applied Environmental Statistics with R Book

1 Introduction 1

2 Preparing the Data for Use in R and DAS+R 13

3 Graphics to Display the Data Distribution 29

4 Statistical Distribution Measures 51

5 Mapping Spatial Data 63

6 Further Graphics for Exploratory Data Analysis 91

7 Defining Background and Threshold, Identification of Data Outliers and Element Sources 107

8 Comparing Data in Tables and Graphics 129

9 Comparing Data Using Statistical Tests 149

10 Improving Data Behaviour for Statistical Analysis: Ranking and Transformations 167

11 Correlation 181

12 Multivariate Graphics 193

13 Multivariate Outlier Detection 201

14 Principal Component Analysis (PCA) and Factor Analysis (FA) 211

15 Cluster Analysis 233

16 Regression Analysis (RA) 249

17 Discriminant Analysis (DA) and Other Knowledge-Based Classification Methods 269

18 Quality Control (QC) 281

19 Introduction to R and Structure of the DAS+R Graphical User Interface 301

References 321

Index 337