Regression for optimum rate and prediction
Hey there!
This is the welcome page for the Kansas State University/University of Georgia 2022 AGSA R Workshop - Regression for optimum rate and prediction R Workshop, taught by @leombastos.
The workshop was presented in one day for 2 hours where we covered:
- Linear, quadratic, and linear-plateau regression
- Regression analysis workflow including
- data import
- data wrangling
- exploratory data analysis
- formal statistical analysis
- model assumption checking with residual diagnostics
- model summary
- final plot
- Difference between ANOVA and regression
- Model selection
- Explore some cool applications of regression like
- finding an optimum input rate that maximizes yield
- prediction
Interested in “attending” the workshop?
Go to this GitHub repository and download it to your computer (click on the green “Code” button above and select “Download ZIP”).
Unzip the repository, launch the RStudio project (by clicking on the “2022_rworkshop_regression.Rproj” file).
On RStudio, go to the “Files” tab (lower right), click on folder “markdown”, and open file “package_prep.R”. Run each line of this script to install the packages we need for the workshop.
On RStudio, go to the “Files” tab (lower right), click on folder “markdown”, and open file
- “reg_partial.Rmd”
You can code along with us by watching this YouTube video