Detailed information about the course

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Title

An Introduction to R

Dates

4-7 June 2019

Lang EN Workshop language is English
Organizer(s)

In collaboration with the Doctoral Programs in Organismal Biology, CUSO Ecology-Evolution, CUSO Molecular Plant Sciences & CUSO Microbiology Prof. Jérôme Goudet, University of Lausanne (CH)

Speakers

Prof. Jérôme Goudet, UNIL

Description

The course is organized in collaboration with the Interuniversity Doctoral Program in Organismal Biology of Neuchâtel (DP-Biol) and the CUSO doctoral programs StarOmics, Ecology & Evolution and Microbial Sciences. 

   

The open source software R (http://www.r-project.org) has revolutionized the statistical data analysis for most bioscience disciplines.The required time to learn the R software is well invested, since the R environment covers an unmatched spectrum of statistical tools including an efficient programming language for automating time-consuming analysis routines. Due to its popularity, R is continuously updated and extended with the latest analysis tools that are available in the different research fields. The R environment is completely free and runs on all common operating systems. This course provides an elementary-level introduction into the R environment covering the following topics: (1) Command syntax, basic functions, (2) Data import/export and data types, (3) Using R for data mining and statistical analysis, (4) Introduction to programming in S, (5) Graphical display, (6) Usage of R packages and libraries The attendees will practice their newly learned skills using exercises on the computer. Participants could also bring their own data sets for a first exploratory round.

 

This course provides an elementary-level introduction into the R environment covering the following topics:

(1) Command syntax, basic functions,(2) Data import/export and data types,
(3) Using R for data mining and statistical analysis,
(4) Introduction to programming in S, (5) Graphical display,
(6) Usage of R packages and libraries

The attendees will practice their newly learned skills using exercises on the computer. Participants could also bring their own data sets for a first exploratory round.
Please bring your laptop to the course with the last version of the R software (https://www.r-project.org/) installed!

Location

University of Lausanne

Information

When?

4-7 June 2019 9h00-12h00 and 13h30-17h30

Where?

University of Lausanne Biophore Amphitheater, Biophore building, quartier UNIL-Sorge

Information: Please bring your laptop to the course and installed the last version of the R software (https://www.r-project.org/).

Expenses

Reimbursements for CUSO StarOmics 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 StarOmics coordinator Corinne Dentan at University of Lausanne, Centre Intégratif de Génomique, Le Génopode, 1015 Lausanne.
For any question concerning reimbursement please contact the CUSO StarOmics coordinator Corinne Dentan.

 

Registration Fees: 

Free for participants belonging to a CUSO University (UniBE, UniFR, UniGE, UniL & UniNE) and PhD students of the DP-biol.

400CHF for Academic participants

800CHF for Non-Academic participants

The registration fees do not cover accomodation and food.

Registration

CUSO PhD students: through your MyCUSO account.

External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").

Priority is given to PhD students from the Doctoral Programs in Organismal Biology, CUSO StarOmics, CUSO Molecular Plant Sciences, CUSO Microbiology and CUSO Ecology-Evolution (6 places each) up to 5 May 2019

Places

30

Deadline for registration
Joint activity joint
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