Skip to content
Permalink
master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

nutr-dissertation-2023/README.md

Go to file
 
 
Cannot retrieve contributors at this time
20 lines (11 sloc) 1.56 KB
Raw Blame
Open in GitHub Desktop
# nutr-dissertation-2023
Supplemental code file for Lissa Davis' PhD dissertation - Spring 2023
File names are categorized based on related dissertation chapter, and what software was used to generate the code. Downloading the complete ZIP file is the easiest way to view all files.
- *Chapter2-BitterEGCGPythonCode* contains complete code used for data preparation and statistical analysis for Chapter 2, coded in Python within the Jupyter Lab environment.
- *Chapter3-VegSalivaPythonCode* contains complete code used for data preparation and statistical analysis for Chapter 3, coded in Python within the Jupyter Lab environment.
- *Chapter4-JellyBeansPythonCode* contains complete code used for data preparation and statistical analysis for Chapter 4, coded in Python within the Jupyter Lab environment.
- *Chapter5-GummyGameDataCleaningPythonCode* contains code used for data preparation for Chapter 5, coded in Python within the Jupyter Lab environment.
- *Chapter5-GummyFlavorGameSASAnalysisCode* is a word document with a copy of the SAS code used for statistical analyis for Chapter 5.
- *Chapter6-GummyBaselineDataCleaningPythonCode* contains code used for data preparation for the sensory and other predictor variables analyzed in Chapter 6, coded in Python within the Jupyter Lab environment.
- *Chapter6-LASSOAnalysisRCode* contains code used to perform LASSO regression analysis for Chapter 6, coded in R using R Studio.
- *Chapter6-LASSOMixedModelsSASCode* is a word document with a copy of the SAS code used for statistical analysis following LASSO regression in Chapter 6.