usda-ree-ars.github.io/SEAStats

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

R Installation instructions

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.


R Boot Camp lesson logo

R Boot Camp

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

A practical toolkit for mixed models lesson logo

A practical toolkit for mixed models in R

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

Data visualization basics with R and ggplot2 lesson logo

Data visualization basics with R and ggplot2

90-minute session introducing students to visualizing data with R and ggplot2.
Taught in Fayetteville, AR, January 10, 2023; Athens, GA, February 8, 2023


A crash course in Bayesian mixed models with brms lesson logo

A crash course in Bayesian mixed models with brms

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)


R for SAS users lesson logo

R for SAS Users

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!

Other learning resources

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!


Archived course and workshop pages

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.