Lisa Spiro, John C Mulligan, Clinton R Heider, Miaomiao Rimmer
This hands-on workshop is based on a lesson from Software Carpentry, an organization that helps researchers get their work done in less time and with less pain by teaching them basic research computing skills. Participants will be encouraged to help one another
and to apply what they have learned to their own research problems.
Accessibility: We are committed to making this workshop
accessible to everybody.
Materials will be provided in advance of the workshop. If we can help making learning easier for you please get in touch (using contact details below) and we will attempt to help you.
To ensure the workshop is suitable for two half-days and is up-to-date, we will use the curriculum from Open Science with R (parts 1-6). The content will be adapted for online delivery and to focus on most current tools and best practices.
To participate in a
workshop, you will need to copy
this rstudio.cloud project
from a modern web-browser. For your personal use after the workshop, you may want to install the software described below:
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
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