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.
We will follow a lesson plan called R for Reproducible Scientific Analysis.
There will not be time to cover all of the material, but we will cover the
essentials of importing and exploring a dataset and generating some plots. If
you are attending the workshop and want to provide input on what topics are
covered, please email email@example.com before May 3.
Requirements: Participants must bring a laptop with a
Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have R and RStudio installed (instructions below).
Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Accessibility: We are committed to making this workshop
accessible to everybody.
The workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
Materials will be provided in advance of the workshop and
large-print handouts are available if needed by notifying the
organizers in advance. If we can help making learning easier for
you (e.g. sign-language interpreters, lactation facilities) please
get in touch (using contact details below) and we will
attempt to provide them.
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