August 18, 2017
9:00 am - 4:30 pm
Instructors: Sergio Marconi, Ben Kok Toh
Helpers: Michael Heslar, Miao Sun
Space is limited to 22 participants for this workshop and registration is required. A fee of $23.00 will be charged and lunch will be provided. Please plan on attending the entire day. You can register in UF's conference system here:
Registration is now full
Based on the Software Carpentry R materials, this one day workshop will focus only on the basics of programming in R. Taking a STATS class this fall? Need to write some code to finish your dissertation or senior project? We were there once too. Come start learning with us.
Our instructors are trained by the Carpentries in evidence-based pedagogy and our materials have been developed collaboratively over years by dozens of contributors. The University of Florida Informatics Institute and the Marston Science Library have generously volunteered space and resources for this workshop in order to advance the skillset of the UF community. The organizers, instructors, and helpers are volunteering their time to help UF, and you!
The international Software Carpentry organization 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 only cover the R materials and as such is not an official Software Carpentry workshop. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Who: The course is open to all members of the UF community: students, staff, and faculty. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Marston L308 Classroom. Get directions with OpenStreetMap or Google Maps.
When: August 18, 2017. Add to your Google Calendar.
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 a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:
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.
Contact: Please email danielmaxwell@ufl.edu for more information.
09:00 | R for Reproducible Scientific Analysis |
10:30 | Coffee |
12:00 | Lunch break |
13:00 | R for Reproducible Scientific Analysis part 2 |
14:30 | Coffee |
16:00 | Wrap-up |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in this Software Carpentry inspired workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
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.
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 yum install R
). Also, please install the
RStudio IDE.