Multivariate data Analysis: Multiple Factor Analysis – ONLINE

Multivariate data Analysis: Multiple Factor Analysis – ONLINE

  • 06/04/2022
    1:00 pm - 2:30 pm

Course details

statistics seminar | level: intermediate | register now
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affiliation: Ghent University


Dimensionality reduction techniques such as Principal component /Factor analysis and correspondence analysis maybe limited in the presence of data that are grouped under
well-defined themes or when different variable types are involved (continuous and categorical).

Multiple Factor Analysis (MFA) is dedicated to datasets where variables are structured into groups and when several sets of variables (continuous or categorical) are simultaneously studied.

In this seminar, you are going to be introduced to the basic features of MFA using the FactoMineR package in R which further allows one to generate clusters using the principal components. Attention will be given to useful outputs and their interpretations.


Background readings

- Principal component analysis (article) (Abdi and Williams 2010).

- Principal Component Analysis Course Using FactoMineR (Video courses).

- Exploratory Multivariate Analysis by Example Using R (book) (Husson, Le, and
Pages 2017).

- Principal Component Analysis (book) (Jollife 2002).




Ghent University-ONLINE


dr Emmanuel Abatih

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