[Forum SIS] Università di Cassino - Summer School in Applied Statistics with R

[vistocco domenico]

Segnalo che è ancora possibile partecipare alla seguente iniziativa.

Un cordiale saluto,
domenico vistocco
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Dipartimento di Scienze Economiche
Università degli Studi di Cassino

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Summer School in Applied Statistics with R
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The PhD program in Economics, Business and Quantitative Analysis at 
Dipartimento di Scienze Economiche
organizes a summer-school on multivariate statistical analysis in the 
cran-R environment.

R is an open source statistical environment, supported by a huge 
community of developers from several
research areas (statistics, econometrics, social and environmental 
sciences among the others).
The large amount of additional packages makes R an extremely versatile 
software and a real competitor
of the most renowned commercial statistical softwares.

The school will take place in the computer lab of the Economics Faculty 
of the Università di Cassino
and it will consists of two disjoint modules:

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Module 1: STATISTICS WITH R
Monday, 13 September - Wednesday, September 15 2010
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Lecturers:
Alfonso Iodice D'Enza, Domenico Vistocco (University of Cassino)

Program:
The R environment. Using R interactively. R objects and their 
manipulations. R packages: installation and use.
Reading/writing files from/on external sources. Missing values. The 
apply family of function.
Basic programming in R: grouping, looping and conditional execution, 
writing a function.
Graphical procedures in R. R commands for basic exploratory statistics 
and for statistical inference.
Statistical models in R: simple and multiple linear regression, logit 
and probit, one-way analysis of variance.
HTML and LaTeX reports in R.

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Module 2: BIPLOTS IN PRACTICE, WITH APPLICATIONS IN R
Thursday, September 16 - Friday, September 17 2010
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Lecturer:
Michael Greenacre, Universitat Pompeu Fabra, Barcelona, Spain

Program:*
*Biplots: the basic idea. Biplot calibration. Regression biplots. 
Generalized linear model biplots.
Multidimensional scaling biplots. Principal component analysis biplots.
Correspondence analysis biplots. Multiple correspondence analysis 
biplots. Classification biplots.

Further details are available at: http://dipse.unicas.it/summerschool
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