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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.
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 23/08/2021. 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: Valeria Di Cola.
We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).
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