Michael Clark's repositories
Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
generalized-additive-models
A document introducing generalized additive models.📈
models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
NineteenEightyR
:sunrise_over_mountains: :vhs: like totally rad
m-clark.github.io
Personal website
data-processing-and-visualization
This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.
book-of-models
Spells for everyday living. (also a book coming out in 2024)
introduction-to-machine-learning
A document covering machine learning basics. 🤖📊
exploratory-data-analysis-tools
A survey of tools that make EDA more automated.
mixed-models-with-R-workshop
This is the companion slides, data, and RStudio project for a workshop on mixed models.
confusionMatrix
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
R-I-Basics
Getting started with using R more intently.
R-II-Programming
Basic programming with R- understanding objects, iterative methods, writing functions, code style, and more.
R-III-Modeling
Using models to understand relationships and make predictions.
polars-talk-2024
Notebook for a talk introducing polars
R-IV-Visualization
Getting started with pretty pictures in R
distill-workshop
This will introduce R users to the Distill format for R Markdown, for scientific communication and building websites.
R-V-Presentation
Reproducibility and R Markdown
config-files
gitignore, css, etc.
bretthorst
analytical bayesian t-test