This page hosts learning materials for USDA ARS SEA statistics and data science trainings created by SEA area statistician Quentin Read. Please contact me if you have issues with accessibility of any of the content on these pages, or if you would like the source code of any of these materials.
For scientists interested in contacting me for a consultation, please check out the frequently asked questions page!
For USDA personnel only: to access video recordings of previous training sessions, please visit the SEA Statistics Training page on USDA Axon intranet.
For participants in the June 2023 Stoneville stats training: June 2023 Stoneville stats syllabus
Instructions for installing R, RStudio, and R packages
Follow these instructions before starting any of the lessons if you do not have R and RStudio installed on your laptop.
Two one-hour lessons on basic R programming for complete beginners (Lessons 1 and 2 in a six-lesson series).
Taught in hybrid format in Raleigh, NC, December 8-9, 2022, and in person in Fayetteville, AR, January 9, 2023, and Booneville, AR, January 12, 2023.
Full-text version | Slides | Worksheets | Answers to Exercises |
---|---|---|---|
Lesson 1: R Boot Camp: the very basics | Slides | Worksheet | Answers |
Lesson 2: R Boot Camp: working with data frames | Slides | Worksheet | Answers |
Four one-hour lessons on fitting simple linear mixed models in R (Lessons 3-6 in a six-lesson series).
Taught in hybrid format in Raleigh, NC, December 8-9, 2022.
Full-text version | Slides | Worksheets | Answers to Exercises |
---|---|---|---|
Lesson 3: From linear model to linear mixed model | Slides | Worksheet | Answers |
Lesson 4: Going further with mixed models | Slides | Worksheet | Answers |
Lesson 5: Generalized linear mixed models | Slides | Worksheet | Answers |
Lesson 6: Estimating and comparing treatment means | Slides | Worksheet | Answers |
90-minute session introducing students to visualizing data with R and ggplot2.
Taught in Fayetteville, AR, January 10, 2023; Athens, GA, February 8, 2023
Two-hour session introducing students to Bayesian inference, and showing how to fit some simple Bayesian mixed models with brms.
Taught in Fayetteville, AR, January 10, 2023 (older version); Athens, GA, February 9, 2023 (updated version)
Two 90-minute lessons showing basic data processing and model fitting procedures in R and SAS side-by-side.
Lesson 1 taught in Athens, GA, February 7, 2023.
Full-text version | Slides | R Code Worksheet | SAS Code from Lesson | Answers to Exercises |
---|---|---|---|---|
Lesson 1: Basic R for SAS users | Slides | Worksheet | Lesson SAS code file | Answers |
Lesson 2: Intro to Mixed Models in R for SAS users | Slides | Worksheet | Lesson SAS code file | Coming soon! |
I compiled a list of my favorite learning resources, including materials on R programming and mixed models, for a recent stats workshop. I expect to add more material to this list in the future; please check back soon for updates!
This page last updated by QDR on 2023-05-28. This page’s contents were created by the author and do not reflect official USDA policy.