First Steps with R in Life Sciences

Overview

R is a complete, flexible and open source system for statistical analysis which has become a tool of choice for biologists and biomedical scientists who need to analyze and visualize large amounts of data. Due to its popularity, R is continuously updated and extended with the latest analysis tools that are available in a variety of research fields. In bioinformatics, in particular, many published papers include a link to an R package implementing the methods described in the article.

Audience

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.

Learning Objectives

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:

• interact with the R environment
• import data, explore it and summarize it
• explore data with graphs
• test statistical hypothesis
• use statistical models

Prerequisites

Knowledge / competencies:

As it is a course for beginners, no background in R or any programming language is required. However, you are encouraged to go through the R tutorial and 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.

Technical:

a Wi-Fi enabled laptop with latest R and RStudio versions installed. There will be access to the eduroam network.

Application

Please note that this course is oversubscribed, therefore closed.

The registration fees for academics are 100 CHF. This includes course content material and coffee breaks. Participants from non-academic institutions should contact us before application.

Deadline for registration and free-of-charge cancellation is set to October 6. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available at https://www.sib.swiss/training/terms-and-conditions

You will be informed by email of your registration confirmation.

Location

University of Lausanne, Génopode building, classroom 2020 (Metro M1 line, Sorge station).

Additional information

Coordination: Diana Marek

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 training@sib.swiss.