July 15-16, 2020
10:00 am - 1:00 pm
Instructors: Mauro Lepore, Ajith Kumar
Helpers: 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.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: July 15-16, 2020. Add to your Google Calendar.
Requirements: See Setup.
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.
Contact: Please email lspiro@rice.edu or heider@rice.edu for more information.
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.
We will use Zoom's Chat for chatting, and this collaborative document for long or persistent notes (e.g. bits of code).
Please be sure to complete these surveys before and after the workshop.
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 1-5). The content will be adapted for online delivery and to focus on most current tools and best practices.
To participate in this workshop, you will need to copy this rstudio.cloud project from a modern web-browser. 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 RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. 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.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
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
RStudio IDE.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.