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TEORIE, MODELLI E TECNICHE INFORMATICHE E DI ANALISI DEI DATI

Teaching Staff

CESARE GAROFALO - Module TECNICHE DI ANALISI MONOVARIATA E MULTIVARIATA - SPS/07 - 3 CFU
GIOVANNI GIUFFRIDA - Module INTRODUZIONE AL DATA MINING - INF/01 - 3 CFU

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Detailed Course Content

• TECNICHE DI ANALISI MONOVARIATA E MULTIVARIATA
  

  The course includes a discussion of:

  -vectors, matrices, factors, lists, tables, data frame, and the operations on these objects in R;

  -read from and write to external files in R;

  -graphical representations of the data in R;

  -programming with R: definitions of new functions, control constructs, conditionals and looping constructs

  -univariate and bivariate statistics with R.

  -correlation and linear regression with R.

  -principal component analysis with R.

  -cluster analysis with R.

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Textbook Information

• TECNICHE DI ANALISI MONOVARIATA E MULTIVARIATA
  

  adopted text

  1. Franco Crivellari - Analisi statistica dei dati con R. Casa Editrice Apogeo
  2. Michael J. Crawley - The R Book, 2nd Edition. Casa Edistrice Wiley

  
  recommended readings:

  1. Brian Everitt, Torsten Hothorn - An Introduction to Applied Multivariate Analysis with R. Springer. 2011
  2. Yanchang Zhao, Yonghua Cen - Data Mining Applications With R. Academic Press. 2013
  3. Espa G., Micciolo R. - Problemi ed esperimenti di statistica con R. Apogeo, 2008.
  4. Iacus S., Masarotto G. - Laboratorio di statistica con R. McGraw Hill Companies, 2007.
  5. Paganoni A., Ieva F., Vitelli V. - Laboratorio di statistica con R. Eserciziario. Pearson, 2012.
  6. Matloff N. - The Art of R Programming. No Starch Press, 2011.
  7. Torgo L. - Data Mining with R. Learning with Case Studies. Chapman & Hall/CRC, 2011.

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