when: Thursday-Friday, December 5-6, 2024
where: Clemson PDREC, Pitner Center Room 240
instructor: Quentin Read, USDA-ARS Southeast Area Statistician
This schedule includes links to all course materials, including full-text and slides versions of the lessons. The code worksheets are pre-loaded on the Posit Cloud server. I have posted them here as well, if anyone wants to run the code locally instead of on the remote server, or if you need to access the materials after the workshop when the Posit Cloud workspace is no longer available. You will be able to access the example datasets at any time; the URLs for the example datasets are found within the lessons.
Time | Activity | Materials |
10:15 AM-11:15 AM | Introductions and talk on causal models | Link to talk slides will be posted here soon. |
11:15 AM-11:30 AM | Break | |
11:30 AM-12:30 PM | Interactive workshop – R for SAS users, Lesson 1 | All course materials for R for SAS Users Lessons 1-3 here |
12:30 PM-1:45 PM | Lunch | |
1:45 PM-3:30 PM | Interactive workshop – R for SAS users, Lesson 2 (we may also do Lesson 3 if time permits) | All course materials for R for SAS Users Lessons 1-3 here |
3:30 PM-5:00 PM | One-on-one meetings/consultations/tours |
Time | Activity | Materials |
9:00 AM-11:30 AM | Interactive workshop - Intro to machine learning | All course materials for Machine Learning Demystified here |
The rest of the day is set aside for one-on-one meetings/consultations/tours.
Video recordings of all workshops will be posted on Axon+ page for USDA staff to view later. I will find a way to share the videos with non-USDA participants too.
You have two options for following along with the code in the workshop.
Option 1: I have created a project on Posit Cloud. You can run the R code on the cloud server without installing anything on your own computer. All you have to do is sign up for a Posit Cloud account (already paid for by the Area Office), join the project group, and create your own copy of the project template. Participants will receive an invitation link by email. Instructions for signing up for an account and joining the project are here.
The Posit Cloud server is only for demonstration and teaching purposes. It is not secure. NO GOVERNMENT-OWNED DATA MAY BE UPLOADED TO THIS SERVER.
Option 2: Install R, RStudio, and all necessary R packages on your own computer. We will probably not have time during the workshop to troubleshoot any installation issues that may arise. However, if you want to analyze your own data with the methods you learn in the workshop, you will eventually need to install this software locally or run it on the SciNet cluster. Instructions on how to install R, RStudio, and R packages on your own computer are here.
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Page last updated 2024-11-14