Introduction to Programming: R for Reproducible Scientific Analysis
QCIF online workshop
February 22nd-25th, 2021
9:00am - 12:30pm each day
Paula Martinez, Amanda Miotto, Paul Melloy
Angela Mina Vargas, Stéphane Guillou, David Green, Stefano Montanari, William Pinzon Perez, Adewuyi Adeyinka
aims to help researchers get their work done
in less time and with less pain
by teaching them basic research computing skills.
This hands-on workshop will cover basic concepts and tools,
including program design, version control, data management,
and task automation.
Participants will be encouraged to help one another
and to apply what they have learned to their own research problems.
Requirements: Participants must provide their own computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) and have access to a stable internet connection sufficient for videoconferencing. They should have a few specific software packages installed (listed below).
To participate in a
workshop, you will need to provide your own computer with reliable internet connection. In addition, you will need access to the software described below and an up-to-date web browser.
Install R by downloading and running
this .exe file
Also, please install the
Note that if you have separate user and admin accounts, you should run the
installers as administrator (right-click on .exe file and select "Run as
administrator" instead of double-clicking). Otherwise problems may occur later,
for example when installing R packages.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the