Little Rock July 2026 Workshop: More MultiOmics with R
This workshop will be held in person in (ROOM TBD). All times on this agenda are Central Daylight Time.
- Pre-workshop instructions including information on optional office hours for software installation troubleshooting
- Agendas and materials for each day
- Instructor team
- Post-workshop survey
Pre-workshop instructions
You have two options for following along with the code in the workshops. Click on an option to expand instructions.
Option 1: Run code on SCINet
Option 1 - SCINet: I have created a shared project space on the Ceres computing cluster run by USDA ARS SCINet. You can run the R code on RStudio Server using Ceres OnDemand without installing anything on your own computer. You will need to register for a SCINet account if you do not already have one, free of charge. You can do this even if you’re not a USDA employee as long as you have someone in ARS act as your sponsor. Important - this may take a week or two, so please start the process well before the workshop! Then provide Quentin with your username and he will add you to the shared project space. During the workshop, you will create RStudio Server sessions on Ceres OnDemand and run code from there.
MORE DETAILED INSTRUCTIONS COMING SOON!
Option 2: Install software and run code on your own local computer
Option 2 - Local computer: Install R, RStudio, and all necessary R packages on your own computer. We will not have time during the workshop to troubleshoot any installation issues that may arise. But you may find it more convenient in the long term to have access to all the software to fit models to your own data locally.
You’ll need to install the following software on your local machine.
- R (version 4.4 or higher)
- RStudio (optional but highly recommended)
- R packages
Follow these steps to install R, RStudio, and the needed R packages.
NOTE: You will need to be connected to the Internet to install this software.
Step 1. Install R
You will need to download R from The Comprehensive R Archive Network, or CRAN. If you are using an older version of R, please update to version 4.4 or higher.
Go to the CRAN website and select the link to download the most recent version of R for your operating system. Follow the installation instructions.
Step 2. Install RStudio
RStudio is an additional software program that makes it easy for you to write R code. It provides an interface that lets you run code, edit scripts, see what variables are in your working environment, and manage files. RStudio is a program that makes it easier to use R, but you need to download both R and RStudio separately.
Go to the RStudio Desktop download page and download the free version of RStudio Desktop. You will need admin rights to install it on a USDA machine.
Step 3. Install R packages
Run the following code in your R or RStudio console (copy and paste). This installs all R packages needed for the workshop.
List of packages coming soon, once we've finalized the lessons!
Step 4. Download the worksheet
Find the link to download the worksheet for each day’s lesson further down on this page. Open it in R or RStudio to follow along with the code during the workshop. Good luck!
Workshop agenda and materials
You will need to bring your laptops, with software installed following the above instructions or with an Internet connection to work on SCINet, to participate in the hands-on sessions. Before each lesson, you will need to open that lesson’s code worksheet in your RStudio session. Links to individual worksheets are found with the materials for each day, or you can download all worksheets at once as a .zip file.
Download link coming soon!
Day 0: Monday, July 13
Day 0 Agenda
- 12:00 PM - 2:00 PM: One-on-one meetings/consultations
- 2:00 PM - 3:00 PM: Pre-workshop office hours: Bring your laptop and I will help you get your software installed for the workshop or get you logged in to SCINet and troubleshoot any issues that come up
- 3:00 PM - 5:00 PM: One-on-one meetings/consultations
Day 1: Tuesday, July 14
Day 1 Agenda
- 9:00 AM - 10:15 AM: Introductions, followed by 45-minute talk on experimental design, and 15 minutes of Q&A
- 10:15 AM - 10:30 AM: Break
- 11:00 AM - 12:30 PM: OMICS hands-on workshop, part 1: Data processing and exploration
- 12:30 PM - 2:00 PM: Lunch
- 2:00 PM - 5:00 PM: One-on-one meetings/consultations/office hours
Day 1 Materials
Coming soon!
Day 2: Wednesday, July 15
Day 2 Agenda
- 9:00 AM - 10:45 AM: OMICS hands-on workshop, part 2: Univariate and multivariate analyses on single omics datasets
- 10:45 AM - 11:00 AM: Break
- 11:00 AM - 12:30 PM: OMICS hands-on workshop, part 3: (Just scratching the surface of) integrating multiple omics datasets
- 12:30 PM - 2:00 PM: Lunch
- 2:00 PM - 5:00 PM: One-on-one meetings/consultations/office hours
Day 2 Materials
Coming soon!
Instructor team
Quentin has been the USDA ARS Southeast Area Statistician since 2021. He has a background in plant ecology and interdisciplinary socio-environmental research. Scientists from around the Southeast consult with him on statistics, experimental design, and data science. He enjoys promoting R, Bayesian statistics, and open and reproducible science at USDA.
More info coming soon!
Post-workshop survey
Please help me improve future trainings by taking a quick (<5 minute) survey telling me what you thought about the workshop!
Page last updated 2026-06-02