This course is now full with a long waiting list. If you do not want to miss your chance to be part of the next session and remain informed about all training activities at SIB, we highly recommend you to keep an eye on our list of upcoming events and subscribe to our courses mailing list here (if you haven't done so already).
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.
The course is now full with a long waiting list. We therefore can't take any other application. There will be other sessions along the year. Thank you for your understanding.
Registration fees are **120 CHF ** for academics and 600 CHF for for-profit companies.
You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.
Applications will close as soon as the places will be filled up. Deadline for free-of-charge cancellation is set to 01/04/2021. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.
This course will be live streamed.
It will start at 9:00 and end around 17:30.
Precise information will be provided to the participants on due time.
Coordination: Patricia Palagi.
We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).
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