UF Informatics Institute One Day R Workshop

October 4, 2018

9:00 am - 4:30 pm

Instructors: Joseph Andreoli, Matthew Collins

Helpers: Joshua Der, Miao Sun, Nitya Singh, Deb Paul

Registration

Space is limited to 24 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 time. You can register in UF's conference system here:

Registration is now full

General Information

The UF Carpentries Club is offering a one day workshop to help the UF community get started learning R. Need to learn some programming for a class? Have data you're scared to work with in Excel? Want to collaborate effectively with your peers? 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 Biodiversity Institute 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 Data Carpentry organization develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Our lessons are domain specific, from life and physical sciences to social science and build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. Our initial target audience is learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

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: Computer, Information, Science and Engineering (CSE) building room E251 (off courtyard facing Centennial Tower). Get directions with OpenStreetMap or Google Maps.

When: October 4, 2018. 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 Data Carpentry's Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers 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 mcollins@acis.ufl.edu for more information.



Schedule

Day 1

MorningIntroduction to R
AfternoonGraphing in R
Evening END

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Syllabus

Programming in R

  • Working with vectors and data frames
  • Reading and plotting data
  • Creating and using functions
  • Loops and conditionals
  • Reference...

Setup

To participate in this 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

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Windows

Video Tutorial

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.

macOS

Video Tutorial

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

Linux

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.