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Teaching program in Analysis of ecological data in R program

6 - 8 giu 2011


David Zelený, Ph.D.

University "Roma Tre", Aula 2


info: Prof. Alicia Acosta <acosta@uniroma3.it>


The class will have the form of computer labs – combination of short theoretical parts about particular analytical method and direct application of these methods on ecological datasets in R program.



June 6, 10:00-13:00

Introduction to the R program

Basic manipulation with data in R, installation of libraries, import and export of data, data objects (vector, matrix, data frame and list).

June 6, 14:00-17:00

Preparation of ecological data for analysis, ecological similarity

Types of data, standardization, transformation, dummy variables. Introduction to the theory of ecological similarity, resemblance indices and how to calculate them in R.

June 7, 10:00-13:00

Numerical classification

Introduction to the theory of numerical classification, cluster algorithms, how to draw cluster dendrograms.

June 7, 14:00-17:00

Ordination analysis 1

Brief introduction to the theory of ordination analysis, basic unconstrained ordinations as PCA and CA, DCA, drawing ordination diagrams.

June 8, 10:00-13:00

Ordination analysis 2

Constrained ordination analysis (RDA, CCA), stepwise selection of environmental variables, variance partitioning.

June 8, 14:00-17:00

Classification and regression trees

Introduction to the theory of CART, application on real datasets.