The Statistical Analysis of Compositional Data
Update: Course Schedule
The introductory course on Compositional Data, provides an introduction to theoretical and practical aspects of the statistical analysis of compositional data, as well as an informal discussion forum on more advanced modelling topics.
This course will present the current state of the art in this field
of active research and will cover the following topics:
- Hypothesis underlying statistical data analysis (sample space,
scale).
- The Aitchison geometry of the simplex.
- Coordinate representation; distributions on the simplex.
- Exploratory analysis (centering, variation array, biplot,
balances-dendrogram).
It is recommended that attendants have undergone some first semester
courses on statistics. Basic knowledge about multivariate statistics
are also very handy. Exercises are mainly done with freeware CoDaPack
(http://ima.udg.edu/codapack/).
Other interesting tools are the packages zCompositions,
compositions
and robCompositions
from the open source statistical environment R. Attendants are
strongly encouraged to bring their own laptops for practicals with all
the software previously installed. If some assistant is unable to
bring any laptop or have troubles to install such software, please
contact the organization.
Language of the course: English
Schedule: June 3 , See Scientific Program menu
Registration: Through the CoDaWork registration process
Certificate: Attendance certificate will be provided.
There are limited places on the course and participants to the
workshop will take preference.