Biplots In Practice

Argumento de Biplots In Practice

Michael Greenacre, Professor of Statistics at the Pompeu Fabra University in Barcelona and research collaborator with the BBVA Foundation, was educated initially in his country of birth, South Africa, and then obtained his doctorate in Paris at the Pierre et Marie Curie University (Paris VI), under professor Jean-Paul Benzécri, the creator of correspondence analysis as it is known today.
He specialized in the visualization of large multivariate data sets, especially in the social and environmental sciences, and spent sabbatical research periods at Rothamsted Experimental Station (UK); Bell Laboratories, Rochester University and Stanford University (USA); the École des Mines (France); and the Norwegian Polar Environmental Centre in Tromsø (Norway).
Besides co-editing three books on data visualization, he has written three books on correspondence analysis, the latest of which (Correspondence Analysis in Practice, 2nd edition) has been published in Spanish (La práctica del análisis de correspondencias, 2008) by the BBVA Foundation.01. Biplots The Basic Idea
2. Regression Biplots
3. Generalized Linear Model Biplots
4. Multidimensional Scaling Biplots
5. Reduced-Dimension Biplots
6. Principal Component Analysis Biplots
7. Log-ratio Biplots
8. Correspondence Analysis Biplots
9. Multiple Correspondence Analysis Biplots I
10. Multiple Correspondence Analysis Biplots II
11. Discriminant Analysis Biplots
12. Constrained Biplots and Triplots
13. Case Study 1 Biomedicine. Comparing Cancer Types according to Gene Expression Arrays
14. Case Study 2 Socio-economics. Positioning the Middle Category in Survey Research
15. Case Study 3 Ecology. The Relationship between Fish Morphology and Diet
Appendix A. Computation of Biplots, with Code in R
Appendix B. Bibliography
Appendix C. Glossary of Terms
Appendix D. Epilogue