R Club

R Club Announcement

The Biochemistry R Club sessions are held in room 201, Biochemistry Laboratories, 433 Babcock Drive.
Contact: Jean-Yves Sgro, jsgro@wisc.edu


We’ll meet every other Tuesday in room 201 (alternating with a Python Club group.)
The first session will be February 07, 2023.

For this first incarnation there will only be one group since most registrants seem more on the beginner side.

GitLab repository



We will (loosely) follow the following book, freely available as online version: http://rafalab.dfci.harvard.edu/dsbook/

Introduction to Data Science – Data Analysis and Prediction Algorithms with R
by Rafael A. Irizarry,  Professor of Applied Statistics at Harvard and the Dana-Farber Cancer Institute,Chair of the Department of Data Sciences at the Dana-Farber Cancer Institute and Professor of Biostatistics at Harvard T.H. Chan School of Public Health.

Book source available at https://github.com/rafalab/dsbook

New book: “Molecular Data Analysis Using R” (2017, Csaba Ortutay and Zsuzsanna Ortutay.)

The book is available online 1 via the UW Library 2. Code from the book is also available online 3, 4


We will use to learn the programming langage R by using the R software through RStudio software.
If you use your own computer during session you will need to install both (free) software:

R software installer can be downloaded from “The Comprehensive R Archive Network” (CRAN)
– The RStudio integrated development environment (IDE): download RStudio Desktop

More material

An enormous amount of material can be found online (which can cause confusion as well.)
Here are a few useful link for more online books:

Hands-On Programming with R, Garrett Grolemund
R for Data Science, Hadley Wickham & Garrett Grolemund
– many more written with bookdown: bookdown.org

Other R Clubs materials

– current –  R Club tutorials by Fiona Seaton, Research Associate – Quantitative Ecologist, UK Centre for Ecology & Hydrology
– 2017-2019 – SDU-R-Club (University of Southern Denmark:)
– 2013-2017 – UO R Club University of Oregon

Code of Conduct

In order to foster a positive and professional learning environment we encourage the following kinds of behaviors in all platforms and events:

– Use welcoming and inclusive language
– Be respectful of different viewpoints and experiences
– Gracefully accept constructive criticism
– Focus on what is best for the community
– Show courtesy and respect towards other community members

(Excerpt from Carpentries Code of Conduct)

Image credits: Shield frames by Pixabay OpenClipart-Vectors. Left, “sapphire jewels R” by Pixabay southerngal. Right, “Golden R” by Pixabay Balrajazmee.