Università Roma Tre

The course is divided into two modules A first module is about multivariate statistics, i.e. it aims to illustrate some multivariate statistics methods and - above all - some applications.
The second module (which takes place in parallel to the first one) aims to teach how to apply these methods by means of software R

Topics dealt with in the first module (prof. S.Terzi):
The first lessons will be dedicated to the summary of basic statistical concepts (such as variance, covariance, correlation, linear combinations) and matrix algebra.
We will then move on to the study of possible syntheses of the data matrix: principal component analysis; cluster analysis.
Finally, after a brief summary of simple bivariate regression, we will move on to the study of multiple regression.
Much emphasis will be placed on case studies.

Topics dealt with in the second module (prof. F. Fortuna):
Introduction to the main commands of R and R-studio;
principal component analysis, cluster analysis and linear regression in R. Discussion of study cases.

https://cran.r-project.org/doc/contrib/DellOmodarme-esercitazioni-R.pdf

B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)

The course is divided into two modules. A first module is about multivariate statistics, i.e. it aims to illustrate some multivariate statistics methods and - above all - some applications.
The second module (which takes place in parallel to the first one) aims to teach how to apply these methods by means of software R.

Topics dealt with in the first module:
The first lessons will be dedicated to the summary of basic statistical concepts (such as variance, covariance, correlation, linear combinations) and matrix algebra.
We will then move on to the study of possible syntheses of the data matrix: principal component analysis; cluster analysis.
Finally, after a brief summary of simple bivariate regression, we will move on to the study of multiple regression.
Much emphasis will be placed on case studies.

Topics dealt with in the second module:
Introduction to the main commands of R and R-studio;
principal component analysis, cluster analysis and linear regression in R. Discussion of study cases.

B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)

https://cran.r-project.org/doc/contrib/DellOmodarme-esercitazioni-R.pdf

Lecture notes and slides will also be provided by the teachers.