top

Statistics Courses with R language

Advanced Statistics Courses with R language

6-10 March 2023

Session 1. 10:00 – 14:00 h 6 March 2023
1.1 Reminder of linear regression
1.2 Exercise
1.3 Reminder of ANOVA
1.4 Exercise


Session 2. 10:00 – 14:00 h 7 March 2023
2.1 General linear model (GLM). Introduction and example 1
2.2 GLM, Example 2
2.3 Exercise
2.4 GLM with random factors (mixed effects models). Example


Session 3. 10:00 – 14:00 h 8 March 2023
3.1 GLM with random factors. Hierarchical (nested) designs
3.2 GLM with random factors. Random slope designs
3.3 Exercise
3.4 Exercise

 

Session 4. 10:00 – 14:00 h 9 March 2023
4.1 Generalized linear models (GLZ). Introduction and example binomial distribution
4.2 GLZ, example Poisson distribution
4.3 GLZ, example with over-dispersion (negative binomial distribution)
4.4 GLZ with random factors. Example

 

Session 5. 10:00 – 14:00 h 10 March 2023
5.1 Exercise
5.2 Generalized additive models (GAM). Introduction and example
5.3 GAM models with random factors. Example
5.4 Exercise

 

Teacher: Aldo Barreiro Felpeto. CIIMAR.
Price: 250 € (200 € for CIIMAR/UP members)
Registration: after announcement, up to fill 25 available positions.
Registration, together with the payment information, is available in the CIIMAR website, through this link that is also sent with the e-mail announcing the course.
Proof of payment required to book the place (send proof to abarreiro@ciimar.up.pt).
After sending the proof of payment, a confirmatory e-mail for the registration will be sent.


Important information:
- All the course will be taught through a zoom platform.
- The course will be taught in English.
- At least a beginner’s background in R and basic statistics is recommended.
- All the information and materials necessary for the development of the course (instructions to install R and R packages, pdf with lessons content, scripts with examples and exercises, data for examples and exercises) will be made available for all the participants in the course through a link to the Open Science Framework platform.

More about the course available here.