Pasteur Courses

Introductory course in the R software

The course « Initiation to R » aims to present the programming language R, in particular data import into the R environment, manipulation of data and data export. Data description using baseline statistical functions, most commonly used statistical tests and graphs will also be addressed. If you are a member of the Pasteur Network (see list), consider applying for the Calmette & Yersin Study Grant. The deadline for applying for the scholarship is the same as the deadline for applying for the course.

Practical Information

  • 5 days
  • February 15, 2027 - February 19, 2027 May 10, 2027 - May 14, 2027
  • Institut Pasteur
  • French

Contacts

ILR@pasteur.fr

Registration

  • Registration dates :
    • June 26, 2026
    • March 1, 2027
  • Attendees : 15

Accreditations:

  • Université de Paris Cité - “One Health-Emerging Infectious Diseases Graduate School” (1H-EID)
  • Institut Pasteur Diploma
  • Credits for the Advanced Master degree in Global Health within the Pasteur-Cnam-EHESP School of Public Health
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Description

R is an open source software and a programming language that gives its users access to a large number of statistical analyses.

Participants must be familiar with Windows and Excel. However, no previous experience or knowledge in programming (either in R or in any other language) is necessary. A strong interest in script programming is compulsory.

At the end of the course, participants will be able to monitor their data (import, control consistency, create variables, export…) and explore their data (data description, statistical tests, and graphical representations). Basic statistical tests will be introduced to compare continuous variables (student t-test, analysis of variance, Wilcoxon non-parametric tests) and to compare discrete/categorical variables (chi-2 test). Participants will also gain knowledge to continue self-exploration of the R environment and read R programmes, in order to perform more complex statistical analyses, and to better interact with statisticians.

During this training, many practical sessions are organized on real databases in order to implement the concepts discussed.

Applications are evaluated by the Course Committee

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Directors

GUILLEMOT Vincent - Institut Pasteur
MADEC Yoann - Institut Pasteur

Members of the course committee

CHERIET Samia - Institut Pasteur
DORRELL Francesca - Institut Pasteur
GUILLEMOT Vincent - Institut Pasteur
MADEC Yoann - Institut Pasteur
PONTICELLI Virginie - Institut Pasteur
SALA Monica - Institut Pasteur