|16 - 17 Apr 2020||Streamed|
|03 - 04 Jun 2020||Streamed|
|27 - 28 Oct 2020||Streamed|
|17 - 18 Dec 2020||Streamed|
|17 - 18 Feb 2021||Streamed|
|15 - 16 Apr 2021||Streamed|
|06 - 07 Sep 2021||Streamed|
|16 - 17 Feb 2022||Streamed|
|08 - 09 Jun 2022||Lausanne|
|10 - 11 Oct 2022||Zürich|
|02 - 03 Feb 2023||Streamed|
|08 - 09 Jun 2023||Lausanne|
|19 - 20 Oct 2023||Zürich|
The course is now full with a waiting list. Application is closed. There will be other sessions during the year. Thank you for your understanding.
R is a complete, flexible and open source system for statistical analysis and graphics, which has become a tool of choice for biologists and biomedical scientists who need to analyse and visualise large amounts of data. Due to its popularity, R is continuously updated and extended with the latest libraries for data manipulation, modelling and visualisation. This course will give an introduction to R and Rstudio (an integrated development environment for R) in an interactive manner. Participants will receive example data sets to practise data manipulation, graphical exploration and statistical hypothesis testing.
This "First Steps with R" two-day course is addressed to beginners wanting to become familiar with the R syntax, environment, and the most common commands to start using R to explore and interpret their data.
At the end of the course, participants should be comfortable with the R environment and be able to read, understand and write R commands, allowing them to implement and interpret a workflow for their data analysis:
As it is a course for beginners, no background in R or any programming language is required. However, you are encouraged to go through some of the R documentation available here. Please also note this course is NOT a training on statistics but rather a training on how to use R to perform different tasks, statistics being one of them.
A Wi-Fi enabled laptop with latest R and RStudio versions installed. There will be access to the eduroam and guest-unil networks.
Registration fees are **120 CHF ** for academics and 600 CHF for for-profit companies. This includes course content material and coffee breaks.
Deadline for registration and free-of-charge cancellation is set is set to 16 January 2020. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.
You will be informed by email of your registration confirmation.
University of Lausanne (Metro M1 line, Sorge station), Amphipole building.
The course will start at 9:00 and end around 17:30. Precise information will be provided to the participants on due time.
Coordination: SIB Training group
We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).
You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
For more information, please contact email@example.com.