Correspondence Analysis and Related Methods

Michael Greenacre
Universitat Pompeu Fabra, Barcelona

Basic information
The accent in this course is on learning about tools, mostly for visualizing multivariate data, that can be applied to practical problems.

Correspondence analysis (CA) plays a central role in this area because it applies to count data, the most basic form of statistical measurement. Many other data types (raw categorical data, preferences, ratings, continuous measurements, distances) can be recoded in a form suitable for being visulalized using correspondence analysis, hence CA is a versatile framework for data visualization. CA is routinely used by ecologists, who count the occurrences of plants and animals, and social scientists, who count the responses of people; also by market researchers, linguists, psychologists, biomedical researchers and archeologists, to name a few...

Slides

Date Colour (2x1) Black/White (2x2)
Monday 10 May viewing printing
Tuesday 11 May viewing printing
Wednesday 12 May viewing printing
Monday 17 May viewing printing
Tuesday 18 May viewing printing
Wednesday 19 May viewing printing
Wednesday 26 May viewing printing

R Code

Data sets

Reading

Articles

Courses/Workshops, CARME network, CARME 2011

Links


Last change: 2010-05-27 by mm