Training in ade4 in R - Module II: Advanced Methods - CLOSED (2015)

20-22 January 2015

Prof. Antoine Guisan, University of Lausanne (CH)

Dr. Stéphane Dray, Université de Lyon (FR)

Dr. Anne-Béatrice Dufour, Université de Lyon (FR)

ADE4 is a software containing Data Analysis functions to analyse Ecological and Environmental data in the framework of Euclidean Exploratory methods. Since 2002, ade4 is a package of the R software, available for Windows, Mac OS, Linux and Unix OS.

ade4 is characterized by :
- the implementation of graphical and statistical functions
- the availability of numerical data
- the redaction of technical and thematic documentation
- the inclusion of bibliographic references

Objectives:

1. Introduction and use of multivariate analyses on data presenting structuring in groups of individuals
2. Introduction to multivariate analyses of relation between two data tables. Use and comparison of several classic methods of coupling.
3. Analyses of spatial data: storage, reading and manipulation. Mapping and methods of mutlivariate analyses with spatial data.
4. Introduction to methods of analyses of multiple data tables (K-tabs)
5. Work in common, discussion and implementation of the methods of multivariate analyses with real data (from the ade4 package or from participants)

University of Lausanne

Map

1.5

Active Participation

!PREREQUISITE!
To have attended the course "Training in ade4 in R - Module I: Basic Methods" or to have already experience with ade4

When?
20-22 January 2015

Schedule:

20 January: 14:00-18:00

21 January: 8:45-12:00 and 13:00-17:15

22 January: 8:45-12:00 and 13:00-17:15

Where?
University of Lausanne, Amphipole, computer room POL 204.2

Questions?
Caroline Betto-Colliard
@: [email protected]
Phone: +41 (0)21 692 42 44

Course attendance:
Free for participants belonging to a CUSO University (UniBE, UniFR, UniGE, UniL & UniNE).

PhD students of the DPEE are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class) and meals. Please send the original tickets (no copies, except for the general abonnement) and receipts with the reimbursement form to Caroline Betto-Colliard.

CUSO PhD students: through your MyCUSO account. 

External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").

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