|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910144536503321 |
|
|
Titolo |
Statistical data analysis explained : applied environmental statistics with R / / Clemens Reimann ... [et al.] |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
|
|
|
|
|
|
|
ISBN |
|
1-282-35011-0 |
9786612350115 |
0-470-98760-X |
0-470-98759-6 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (371 p.) |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Environmental sciences - Statistical methods |
Environmental sciences - Data processing |
R (Computer program language) |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. [321]-335) and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Statistical Data Analysis Explained Applied Environmental Statistics with R; Contents; Preface; 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 Transformations11 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 |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as |
|
|
|
|