Content of Learning Activity

The pedagogical material is available online: https://wp.sciviews.org. The chapters of this UE are: 

- Simple linear regression and residuals analysis (part I)
- Multiple and polynomial linear regressions, residuals analysis (part II)
- Linear models and contrast matrices
- General linear models
- Nonlinear models

Required Learning Resources/Tools

The content for this course is available online https://wp.sciviews.org

Recommended Learning Resources/Tools

Not applicable

Other Recommended Reading

Barnier, J., 2018. Introduction à R et au tidyverse (https://juba.github.io/tidyverse/index.html). Ismay, Ch. & Kim A.Y, 2018. Moderndive: An introduction to statistical and data science via R (http://moderndive.com). Wickham, H. & Grolemund, G, 2017. R for data science (http://r4ds.had.co.nz). Zar, J.H., 2010. Biostatistical analysis (5th ed.). Pearson Education, London. 944pp. Husson, F., S. Lê & J. Pagès, 2009. Analyse de données avec R. Presses universitaires de Rennes, Rennes. 224pp. Cornillon, P.A. Et al, 2008. Statistiques avec R. Presses Universitaires de Rennes. 257pp. Dagnelie, P., 2007. Statistique théorique et appliquée, Volumes I et II (2ème ed.). De Boeck & Larcier, Bruxelles. 511pp (vol. I) 734pp (vol. II).
 

Mode of delivery

• Hybrid

Type of Teaching Activity/Activities

• Travaux pratiques
• Exercices de création et recherche en atelier
• Projet sur ordinateur
• Etudes de cas
• Préparations, travaux, recherches d'information

Evaluations

The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)