[Forum SIS] Summer School in Applied Statistics using R (10 - 14 September, 2012) - University of Cassino
Domenico Vistocco
vistocco a unicas.it
Mer 20 Giu 2012 13:11:22 CEST
Si segnala la seguente iniziativa organizzata presso il Dipartimento di Economica e Giurisprudenza dell'Universitą di Cassino.
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Summer School in Applied Statistics using R
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The PhD program in Economics at Dipartimento di Economia e Giurisprudenza, University of Cassino, organizes a summer-school on applied 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 (room 1.05) of the Dipartimento of Economia e Giurusprudenza, University of Cassino and it will consists of two disjoint modules:
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Module 1: STATISTICS WITH R
Monday, 10 September - Wednesday, September 13 2012
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Lecturers:
Alfonso Iodice D’Enza, Domenico Vistocco (University of Cassino)
Program:
The R environment. Using R interactively. The RStudio IDE (Integrated Development Environment). 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. Reproducible research and reporting tools: HTML, LaTeX and Markdown reports in R.
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Module 2: EXPLORATORY MULTIVARIATE ANALYSIS, WITH APPLICATIONS IN R
Thursday, September 13 - Friday, September 14 2012
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Lecturer:
Sčbastien Le, Agrocampus Ouest, CFR Rennes, France
Program:
The topics will be part of the contents of the book "Exploratory Multivariate Analysis by Example Using R" and will exploit the popular R package FactoMineR:
• Principal Component Analysis (PCA),
• Correspondence Analysis (CA),
• Multiple Correspondence Analysis (MCA),
• Clustering.
Further details are available at: http://dipse.unicas.it/summerschool/2012
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Domenico Vistocco
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vistocco at unicas.it
Dipartimento di Economia e Giurisprudenza
Universitą degli Studi di Cassino e del Lazio Meridionale
Via S. Angelo - Localitą Folcara
03043 CASSINO
tel.+39-0776-2994665
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