This course will teach some basic skills to help students get the most out of the R statistical programming language and provide an accessible introduction to generalized linear models, generalized additive models, and mixed models. We will cover the basic R skills necessary to conduct most of the common analyses in the sciences, and then will focus on giving students a working understanding of ANOVA, GLM, GAM, and GLMM. The course is intended to give students a conceptual understanding of these methods, not just a set of recipes to follow.
By the end of this course, students will understand:
- How to perform basic actions in R, like reading, writing, and manipulating data.
- How to design workflows for efficient and reproducible scientific computing.
- How to make attractive and informative colour graphics from R.
- The importance of likelihood in statistics.
- How regression works and what it means.
- How to choose the appropriate link function and why it is important.
- How to model fixed vs. random effects.
- How to construct, validate, and visualize complex models (GLM, GAM, GLMM).
The course is intended primarily for participants who have some experience in R and wish to develop their skills.
- Monday to Friday:
- 9:30 to 13:30 Lessons.
- 13:30 to 15:00 Lunch (included).
- 15:00 to 18:00 Lessons.
Accommodation Package Schedule
- 18:30 Meeting in Heraklion (Archaeological Museum) or Chania (Coach Station) to take the bus to Gerakári.
- 20:15 Check-in at Alexander Hotel.
- 20:45 Dinner.
- Tuesday to Thursday:
- 8:30 to 9:00 Breakfast.
- 20:30 Dinner.
- 8:30 to 9:00 Breakfast.
- 18:30 Meeting at Alexander Hotel to take the bus to Heraklion or Chania.
- 20:15 Arrival in Heraklion (Archaeological Museum) or Chania (Coach Station).
The schedule is approximate; it is possible that the content of one day may run into the next and a working day may be longer than advertised.
Former participants will have a 5 % discount on the Course Fee.
Furthermore, a 20 % discount on the Course Fee is offered for members of some organizations (Organizations with discount). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
Unemployed scientists living in Greece, as well as PhD students based in Greece without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.
Discounts are not cumulative and apply only on the fee, not to Accommodation Package or other options.