Chapter 11. Correlation
Published Online: 18 APR 2008
DOI: 10.1002/9780470987605.ch11
Copyright © 2008 John Wiley & Sons, Ltd
Book Title

Statistical Data Analysis Explained: Applied Environmental Statistics with R
Additional Information
How to Cite
Reimann, C., Filzmoser, P., Garrett, R. G. and Dutter, R. (2008) Correlation, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch11
Publication History
- Published Online: 18 APR 2008
- Published Print: 4 APR 2008
ISBN Information
Print ISBN: 9780470985816
Online ISBN: 9780470987605
- Summary
- Chapter
Keywords:
- correlation analysis and coefficient;
- Pearson, Spearman and Kendall correlation;
- “classical” Pearson method;
- Pearson correlation coefficient;
- Spearman rank correlation;
- correlation analysis and inhomogeneous data;
- “closed array” problem;
- inhomogenous data correlation analysis;
- statistical test and zero correlation
Summary
This chapter contains sections titled:
Pearson correlation
Spearman rank correlation
Kendall-tau correlation
Robust correlation coefficients
When is a correlation coefficient significant?
Working with many variables
Correlation analysis and inhomogeneous data
Correlation results following additive logratio or centred logratio transformations
Summary
