Advanced Statistics and Programming with R

20-23 May 2019

Marta Bellone, Dr., UNIFR
Corinne Dentan, Dr., UNIL
Debora Zoia, UNIL

Frédéric Schütz, MER., UNIL & SIB

The course is organized in collaboration with the CUSO StarOmics and CUSO Ecology & Evolution Doctoral Programs.

PROGRAM (to be confirmed)

Day 1 & Day 2: Intermediate R Topics covered include, among others:
- Objects and Data structures
- Operations and Logical operations
- Missing data
- Data manipulation: Concatenation, Sorting, Data subsetting, Apply
- Customisation of graphics
- Conditional instructions, loops
- Functions
- KnitR/markdown

Day 3 & Day 4: Programming with R
- Vectorization of R code (i.e. how to avoid loops for efficient computing time) and how to estimate computing time of R code
- Complex functions
- Debugging (use R in debug mode), enhancing and adapting own and foreign (from packages) code
- Typical traps and tipps on good coding practics - R coding standards (i.e. how to write good, readable and reusable code)
- Running R from bash scripts (e.g. on servers or clusters)

More details will follow

University of Lausanne, Batochime 1103 (20.5.) / Batochime 1113 (21-23.5.2019) North part of the building, ground floor

Reimbursements for CUSO MPS students

Train ticket, 2°class, half-fare from your institution to the place of the activity.
NO reimbursement for your meal expenses

Regarding reimbursement of accomodation, please contact the coordinator of the doctoral program BEFORE the beginning of the course. NO reimbursement of accomodation without the agreement in advance of the course of the coordinator of the doctoral program.

Reimbursement form attached with original tickets has to be sent to the MPS coordinator Zoia Debora at University of Lausanne, Department of Molecular Plant Biology, Biophore - quartier UNIL-Sorge, 1015 Lausanne.
For any question concerning reimbursement please contact the CUSO MPS coordinator Debora Zoia.

Please register through the CUSO Ecology & Evolution webpage

There are 3 places available for CUSO MPS students
Deadline for Registration: 28.04.2019

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